Amazon Web Services DOP-C01 today updated questions - Verified by Amazon Web Services Experts

AWS Certified DevOps Engineer - Professional Questions and Answers

Question 1

A company is running an application on Amazon EC2 instances behind an ELB Application Load Balancer. The instances run in an EC2 Auto Scaling group across multiple Availability Zones.

After a recent application update, users are getting HTTP 502 Bad Gateway errors from the application URL. The DevOps Engineer cannot analyze the problem because Auto Scaling is terminating all EC2 instances shortly after launch for being unhealthy.

What steps will allow the DevOps Engineer access to one of the unhealthy instances to troubleshoot the deployed application?

Options:

Create an image from the terminated instance and create a new instance from that image. The Application team can then log into the new instance.

As soon as a new instance is created by AutoScaling, put the instance into a Standby state as this will prevent the instance from being terminated.

Add a lifecycle hook to your Auto Scaling group to move instances in the Terminating state to the Terminating:Wait state.

Edit the Auto Scaling group to enable termination protection as this will protect unhealthy instances from being terminated.

Question 2

A Development team is adding a new country to an e-commerce application. This addition requires that new application features be added to the shipping component of the application. The team has not decided if all new features should be added, as some will take approximately six weeks to build. While the final decision on the shipping component features is being made, other team members are continuing to work on other features of the application.

Based on this situation, how should the application feature deployments be managed?

Options:

Add the code updates as commits to the release branch. The team can delay the deployment until all features are ready.

Add the code updates as commits to a feature branch. Merge the commits to a release branch as features are ready.

Add the code updates as a single commit when a feature is ready. Tag this commit with "new-country."

Create a new repository named "new-country". Commit all the code changes to the new repository.

Question 3

A DevOps engineer must ensure all IAM entity configurations across multiple AWS accounts in AWS Organizations are compliant with corporate IAM policies.

Which combination of steps will accomplish this? (Select TWO.)

Options:

Enable AWS Trusted Advisor in Organizations for all accounts to report on noncompliant IAM entities.

Configure an AWS Config aggregator in the Organizations master account for all accounts

Deploy AWS Config rules to the master account in Organizations that match corporate IAM policies.

Apply an SCP in Organizations to ensure compliance of IAM entities.

Deploy AWS Config rules to all accounts in Organizations that match the corporate IAM policies.

Question 4

A mobile application running on eight Amazon EC2 instances is relying on a third-party API endpoint. The thirdparty service has a high failure rate because of limited capacity, which is expected to be resolved in a few weeks. In the meantime, the mobile application developers have added a retry mechanism and are logging failed API requests. A DevOps Engineer must automate the monitoring of application logs and count the specific error messages; if there are more than 10 errors within a 1-minute window, the system must issue an alert. How can the requirements be met with MINIMAL management overhead?

Options:

Install the Amazon CloudWatch Logs agent on all instances to push the application logs to CloudWatch Logs. Use metric filters to count the error messages every minute, and trigger a CloudWatch alarm if the count exceeds 10 errors.

Install the Amazon CloudWatch Logs agent on all instances to push the access logs to CloudWatch Logs. Create CloudWatch Events rule to count the error messages every minute, and trigger a CloudWatch alarm if the count exceeds 10 errors.

Install the Amazon CloudWatch Logs agent on all instances to push the application logs to CloudWatchLogs. Use a metric filter to generate a custom CloudWatch metric that records the number of failures and triggers a CloudWatch alarm if the custom metric reaches 10 errors in a 1-minute period.

Deploy a custom script on all instances to check application logs regularly in a cron job. Count the number of error messages every minute, and push a data point to a custom. CloudWatch metric. Trigger a CloudWatch alarm if the custom metric reaches 10 errors in a 1-minute period.

Question 5

A DevOps engineer notices that all Amazon EC2 instances running behind an Application Load Balancer in an Auto Scaling group are failing to respond to user requests. The EC2 instances are also failing target group HTTP health checks.

Upon inspection, the engineer notices the application process was not running in any EC2 instances. There are a significant number of out of memory messages in the system logs. The engineer needs to improve the resilience of the application to cope with a potential application memory leak. Monitoring and notifications should be enabled to alert when there is an issue.

Which combination of actions will meet these requirements? {Select TWO.)

Options:

Change the Auto Scaling configuration to replace the instances when they fail the load balancer's health checks.

Change the target group health check HealthChecklntervalSeconds parameter to reduce the interval between health checks.

Change the target group health checks from HTTP to TCP to check if the port where the application is listening is reachable.

Enable the available memory consumption metric within the Amazon CloudWatch dashboard for the entire Auto Scaling group. Create an alarm when the memory utilization is high. Associate an E. Amazon SNS topic to the alarm to receive notifications when the alarm goes off.

Use the Amazon CloudWatch agent to collect the memory utilization of the EC2 instances in the Auto Scaling group. Create an alarm when the memory utilization is high and associate an Amazon SNS topic to receive a notification.

Question 6

During metric analysis, your team has determined that the company's website during peak hours is experiencing response times higher than anticipated. You currently rely on Auto Scaling to make sure that you are scaling your environment during peak windows. How can you improve your Auto Scaling policy to reduce this high response time? Choose 2 answers.

Options:

Push custom metrics to CloudWatch to monitor your CPU and network bandwidth from your servers, which will allow your Auto Scaling policy to have betterfine-grain insight.

IncreaseyourAutoScalinggroup'snumberofmaxservers.

Create a script that runs and monitors your servers; when it detects an anomaly in load, it posts to an Amazon SNS topic that triggers Elastic Load Balancing to add more servers to the load balancer.

Push custom metrics to CloudWatch for your application that include more detailed information about your web application, such as how many requests it is handling and how many are waiting to be processed.

Question 7

A company is hosting a web application in an AWS Region. For disaster recovery purposes, a second region is being used as a standby. Disaster recovery requirements state that session data must be replicated between regions in near-real time and 1% of requests should route to the secondary region to continuously verify system functionality. Additionally, if there is a disruption in service in the main region, traffic should be automatically routed to the secondary region, and the secondary region must be able to scale up to handle all traffic.

How should a DevOps Engineer meet these requirements?

Options:

In both regions, deploy the application on AWS Elastic Beanstalk and use Amazon DynamoDB global tables for session data. Use an Amazon Route 53 weighted routing policy with health checks to distribute the traffic across the regions.

In both regions, launch the application in Auto Scaling groups and use DynamoDB for session data. Use a Route 53 failover routing policy with health checks to distribute the traffic across the regions.

In both regions, deploy the application in AWS Lambda, exposed by Amazon API Gateway, and use Amazon RDS PostgreSQL with cross-region replication for session data. Deploy the web application with client-side logic to call the API Gateway directly.

In both regions, launch the application in Auto Scaling groups and use DynamoDB global tables for session data. Enable an Amazon CloudFront weighted distribution across regions. Point the Amazon Route 53 DNS record at the CloudFront distribution.

Question 8

A Development team is currently using AWS CodeDeploy to deploy an application revision to an Auto Scaling group. If the deployment process fails, it must be rolled back automatically and a notification must be sent.

What is the MOST effective configuration that can satisfy all of the requirements?

Options:

Create Amazon CloudWatch Events rules for CodeDeploy operations. Configure a CloudWatch Events rule to send out an Amazon SNS message when the deployment fails. Configure CodeDeploy to automatically roll back when the deployment fails.

Use available Amazon CloudWatch metrics for CodeDeploy to create CloudWatch alarms. Configure CloudWatch alarms to send out an Amazon SNS message when the deployment fails. Use AWS CLI to redeploy a previously deployed revision.

Configure a CodeDeploy agent to create a trigger that will send notification to Amazon SNS topics when the deployment fails. Configure CodeDeploy to automatically roll back when the deployment fails.

Use AWS CloudTrail to monitor API calls made by or on behalf of CodeDeploy in the AWS account. Send an Amazon SNS message when deployment fails. Use AWS CLI to redeploy a previously deployed revision.

Question 9

A social networking service runs a web API that allows its partners to search public posts. Post data is stored in Amazon DynamoDB and indexed by AWS

Lambda functions, with an Amazon ES domain storing the indexes and providing search functionality to the application.

The service needs to maintain full capacity during deployments and ensure that failed deployments do not cause downtime or reduced capacity, or prevent subsequent deployments.

How can these requirements be met? (Select TWO )

Options:

Run the web application in AWS Elastic Beanstalk with the deployment policy set to All at Once. Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template.

Deploy the web application, Lambda functions, DynamoDB tables, and Amazon ES domain in an AWS CloudFormation template. Deploy changes with an AWS CodeDeploy in-place deployment.

Run the web application in AWS Elastic Beanstalk with the deployment policy set to Immutable. Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template.

Deploy the web application, Lambda functions, DynamoDB tables, and Amazon ES domain in an AWS CloudFormation template. Deploy changes with an AWS CodeDeploy blue/green deployment.

Run the web application in AWS Elastic Beanstalk with the deployment policy set to Rolling. Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template.

Question 10

A company is developing a web application's infrastructure using AWS CloudFormation. The database engineering team maintains the database resources in a CloudFormation template, and the software development team maintains the web application resources in a separate CloudFormation template As the scope of the application grows, the software development team needs to use resources maintained by the database engineering team However, both teams have their own review and lifecycle management processes that they want to keep Both teams also require resource-level change-set reviews The software development team would like to deploy changes to this template using their CI/CD pipeline.

Which solution will meet these requirements?

Options:

Create a stack export from the database CloudFormation template and import those references into the web application CloudFormation template

Create a CloudFormation nested stack to make cross-stack resource references and parameters available in both stacks.

Create a CloudFormation stack set to make cross-stack resource references and parameters available in both stacks

Create input parameters in the web application CloudFormation template and pass resource names and IDs from the database stack.

Question 11

A company develops and maintains a web application using Amazon EC2 instances and an Amazon RDS for SQL Server DB instance in a single Availability Zone The resources need to run only when new deployments are being tested using AWS CodePipeline. Testing occurs one or more times a week and each test takes 2-3 hours to run. A DovOps engineer wants a solution that does not change the architecture components.

Which solution will meet these requirements in the MOST cost-effective manner?

Options:

Convert the RDS database to an Amazon Aurora Serverless database Use an AWS Lambda function to start and stop the EC2 instances before and after tests

Put the EC2 instances into an Auto Scaling group. Schedule scaling to run at the start of the deployment tests.

Replace the EC2 instances with EC2 Spot Instances and the RDS database with an RDS Reserved Instance.

Subscribe Amazon CloudWatch Events to CodePipeline to trigger AWS Systems Manager Automation documents that start and stop all EC2 and RDS instances before and after deployment tests.

Question 12

A company using AWS CodeCommit for source control wants to automate its continuous integration and continuous deployment pipeline on AWS in its development environment. The company has three requirements:

1. There must be a legal and a security review of any code change to make sure sensitive information is not leaked through the source code.

2. Every change must go through unit testing.

3. Every change must go through a suite of functional testing to ensure functionality.

In addition, the company has the following requirements for automation:

1. Code changes should automatically trigger the CI/CD pipellline.

2. Any failure in the pipeline should notify devops-admin@xyz.com.

3. There must be an approval to stage the assets to Amazon S3 after tests have been performed.

What should a DevOps Engineer do to meet all of these requirements while following CI/CD best practices?

Options:

Commit to the development branch and trigger AWS CodePipeline from the development branch. Make an individual stage in CodePipeline for security review, unit tests, functional tests, and manual approval. Use Amazon CloudWatch metrics to detect changes in pipeline stages and Amazon SES for emailing devops- admin@xyz.com.

Commit to mainline and trigge r AWS CodePipeline from mainline. Make an individual stage in CodePipeline for security review, unit tests, functional tests, and manual approval. Use AWS CloudTrail logs to detect changes in pipeline stages and Amazon SNS for emailing devops-admin@xyz.com.

Commit to the development branch and trigger AWS CodePipeline from the development branch. Make an individual stage in CodePipeline for security review, unit tests, functional tests, and manual approval. Use Amazon CloudWatch Events to detect changes in pipeline stages and Amazon SNS for emailing devops- admin@xyz.com.

Commit to mainline and trigger AWS CodePipeline from mainline. Make an individual stage in CodePipeline for security review, unit tests, functional tests, and manual approval. Use Amazon CloudWatch Events to detect changes in pipeline stages and Amazon SES for emailing devops-admin@xyz.com.

Question 13

A company that runs many workloads on AWS has an Amazon EBS spend that has increased over time. The DevOps team notices there are many unattached EBS volumes. Although there are workloads where volumes are detached, volumes over 14 days old are stale and no longer needed. A DevOps engineer has been tasked with creating automation that deletes unattached EBS volumes that have been unattached for 14 days.

Which solution will accomplish this?

Options:

Configure the AWS Config ec2-vo!ume-inuse-check managed rule with a configuration changes trigger type and an Amazon EC2 volume resource target. Create a new Amazon CloudWatch Events rule scheduled to execute an AWS Lambda function in 14 days to delete the specified EBS volume.

Use Amazon EC2 and Amazon Data Lifecycle Manager to configure a volume lifecycle policy. Set the interval period for unattached EBS volumes to 14 days and set the retention rule to delete. Set the policy target volumes as

Create an Amazon CloudWatch Events rule to execute an AWS Lambda function daily. The Lambda function should find unattached EBS volumes and tag them with the current date, and delete unattached volumes that have tags with dates that are more than 14 days old.

Use AWS Trusted Advisor to detect EBS volumes that have been detached for more than 14 days. Execute an AWS Lambda function that creates a snapshot and then deletes the EBS volume.

Question 14

A DevOps Engineer must create a Linux AMI in an automated fashion. The newly created AMI identification must be stored in a location where other build pipelines can access the new identification programmatically

What is the MOST cost-effective way to do this?

Options:

Build a pipeline in AWS CodePipeline to download and save the latest operating system Open Virtualization Format (OVF) image to an Amazon S3 bucket, then customize the image using the guestfish utility. Use the virtual machine (VM) import command to convert the OVF to an AMI, and store the AMI identification output as an AWS Systems Manager parameter.

Create an AWS Systems Manager automation document with values instructing how the image should be created. Then build a pipeline in AWS CodePipeline to execute the automation document to build the AMI when triggered. Store the AMI identification output as a Systems Manager parameter.

Build a pipeline in AWS CodePipeline to take a snapshot of an Amazon EC2 instance running the latest version of the application. Then start a new EC2 instance from the snapshot and update the running instance using an AWS Lambda function. Take a snapshot of the updated instance, then convert it to an AMI. Store the AMI identification output in an Amazon DynamoDB table.

Launch an Amazon EC2 instance and install Packer. Then configure a Packer build with values defining how the image should be created. Build a Jenkins pipeline to invoke the Packer build when triggered to build an AMI. Store the AMI identification output in an Amazon DynamoDB table.

Question 15

You have an ELB setup in AWS with EC2 instances running behind it. You have been requested to monitor the incoming connections to the ELB. Which of the below options can suffice this requirement?

Options:

UseAWSCIoudTrail with your load balancer

Enable access logs on the load balancer

Use a CloudWatch Logs Agent

Create a custom metric CloudWatch filter on your load balancer

Question 16

A company is using AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline to deploy applications automatically to an Amazon EC2 instance. A DevOps

Engineer needs to perform a security assessment scan of the operating system on every application deployment to the environment.

How should this be automated?

Options:

Use Amazon CloudWatch Events to monitor for Auto Scaling event notifications of new instances and configure CloudWatch Events to trigger an Amazon Inspector scan.

Use Amazon CloudWatch Events to monitor for AWS CodeDeploy notifications of a successful code deployment and configure CloudWatch Events to trigger an Amazon Inspector scan.

Use Amazon CloudWatch Events to monitor for CodePipeline notifications of a successful code deployment and configure CloudWatch Events to trigger an AWS X-Ray scan.

Use Amazon Inspector as a CodePipeline task after the successful use of CodeDeploy to deploy the code to the systems.

Question 17

A publishing company used AWS Elastic Beanstalk, Amazon S3, and Amazon DynamoDB to develop a web application. The web application has increased dramatically in popularity, resulting in unpredictable spikes in traffic. A DevOps Engineer has noted that 90% of the requests are duplicate read requests.

How can the Engineer improve the performance of the website?

Options:

Use Amazon ElastiCache for Redis to cache repeated read requests to DynamoDB and AWS Elemental MediaStore to cache images stored in S3.

Use Amazon ElastiCache for Memcached to cache repeated read requests to DynamoDB and Varnish to cache images stored in S3.

Use DynamoDB Accelerator to cache repeated read requests to DynamoDB and Amazon CloudFront to cache images stored in S3.

Use DynamoDB Streams to cache repeated read requests to DynamoDB and API Gateway to cache images stored in S3.

Question 18

An application's users ate encountering bugs immediately after Amazon API Gateway deployments. The development team deploys once or twice a day and uses a blue/green deployment strategy with custom health checks and automated rollbacks. The team wants to limit the number of users affected by deployment bugs and receive notifications when rollbacks are needed.

Which combination of steps should a DevOps engineer use to meet these requests? (Select TWO.)

Options:

Implement a blue/green strategy using path mappings.

Implement a canary deployment strategy.

Implement a rolling deployment strategy using multiple stages.

Use Amazon CloudWatch alarms to notify the development team.

Use Amazon CloudWatch Events to notify the development team.

Question 19

The Development team at an online retailer has moved to Business support and want to take advantage of the AWS Health Dashboard and the AWS Health API to automate remediation actions for issues with the health of AWS resources. The first use case is to respond to AWS detecting an IAM access key that is listed on a public code repository site. The automated response will be to delete the IAM access key and send a notification to the Security team.

How should this be achieved?

Options:

Create an AWS Lambda function to delete the IAM access key. Send AWS CloudTrail logs to AWS CloudWatch logs. Create a CloudWatch Logs metric filter for the AWS_RISK_CREDENTIALS_EXPOSED event with two actions: first, run the Lambda function; second, use Amazon SNS to send a notification to the Security team.

Create an AWS Lambda function to delete the IAM access key. Create an AWS Config rule for changes to aws.health and the AWS_RISK_CREDENTIALS_EXPOSED event with two actions: first, run the Lambda function; second, use Amazon SNS to send a notification to the Security team.

Use AWS Step Functions to create a function to delete the IAM access key, and then use Amazon SNS to send a notification to the Security team. Create an AWS Personal Health Dashboard rule for the AWS_RISK_CREDENTIALS_EXPOSED event; set the target of the Personal Health Dashboard rule to Step Functions.

Use AWS Step Functions to create a function to delete the IAM access key, and then use Amazon SNS to send a notification to the Security team. Create an Amazon CloudWatch Events rule with an aws.health event source and the AWS_RISK_CREDENTIALS_EXPOSED event, set the target of the CloudWatch Events rule to Step Functions.

Question 20

A company has developed a static website hosted on an Amazon S3 bucket. The website is deployed using AWS CloudFormation. The CloudFormation template defines an S3 bucket and a custom resource that copies content into the bucket from a source location.

The company has decided that it needs to move the website to a new location, so the existing CloudFormation stack must be deleted and re-created. However,

CloudFormation reports that the stack could not be deleted cleanly.

What is the MOST likely cause and how can the DevOps Engineer mitigate this problem for this and future versions of the website?

Options:

Deletion has failed because the S3 bucket has an active website configuration. Modify the CloudFormation template to remove the Website Configuration property from the S3 bucket resource.

Deletion has failed because the S3 bucket is not empty. Modify the custom resource's AWS Lambda function code to recursively empty the bucket when is Delete. RequestType

Deletion has failed because the custom resource does not define a deletion policy. Add a Deletion Policy property to the custom resource definition with a value of RemoveOnDeletion.

Deletion has failed because the S3 bucket is not empty. Modify the S3 bucket resource in the CloudFormation template to add a Deletion Policy property with a value of Empty.

Question 21

After presenting a working proof of concept for a new application that uses AWS API Gateway, a Developer must set up a team development environment for the project. Due to a tight timeline, the Developer wants to minimize time spent on infrastructure setup, and would like to reuse the code repository created for the proof of concept. Currently, all source code is stored in AWS CodeCommit.

Company policy mandates having alpha, beta, and production stages with separate Jenkins servers to build code and run tests for every stage. The Development

Manager must have the ability to block code propagation between admins at any time. The Security team wants to make sure that users will not be able to modify the environment without permission.

How can this be accomplished?

Options:

Create API Gateway alpha, beta, and production stages. Create a CodeCommit trigger to deploy code to the different stages using an AWS Lambda function.

Create API Gateway alpha, beta, and production stages. Create an AWS CodePipeline that pulls code from the CodeCommit repository. Create CodePipeline actions to deploy code to the API Gateway stages.

Create Jenkins servers for the alpha, beta, and production stages on Amazon EC2 instances. Create multiple CodeCommit triggers to deploy code to different stages using an AWS Lambda function.

Create an AWS CodePipeline pipeline that pulls code from the CodeCommit repository. Create alpha, beta, and production stages with Jenkins servers on CodePipeline.

Question 22

A DevOps team needs to query information in application logs that are generated by an application running multiple Amazon EC2 instances deployed with AWS

Elastic Beanstalk.

Instance log streaming to Amazon CloudWatch Logs was enabled on Elastic Beanstalk.

Which approach would be the MOST cost-efficient?

Options:

Use a CloudWatch Logs subscription to trigger an AWS Lambda function to send the log data to an Amazon Kinesis Data Firehouse stream that has an Amazon S3 bucket destination. Use Amazon Athena to query the log data from the bucket.

Use a CloudWatch Logs subscription to trigger an AWS Lambda function to send the log data to an Amazon Kinesis Data Firehouse stream that has an Amazon S3 bucket destination. Use a new Amazon Redshift cluster and Amazon Redshift Spectrum to query the log data from the bucket.

Use a CloudWatch Logs subscription to send the log data to an Amazon Kinesis Data Firehouse stream that has an Amazon S3 bucket destination. Use Amazon Athena to query the log data from the bucket.

Use a CloudWatch Logs subscription to send the log data to an Amazon Kinesis Data Firehouse stream that has an Amazon S3 bucket destination. Use a new Amazon Redshift cluster and Amazon Redshift Spectrum to query the log data from the bucket.

Question 23

A company has multiple development teams sharing one AWS account. The development team's manager wants to be able to automatically stop Amazon EC2 instances and receive notifications if resources are idle and not tagged as production resources

Which solution will meet these requirements?

Options:

Use a scheduled Amazon CloudWatch Events rule to filter for Amazon EC2 instance status checks and identify idle EC2 instances. Use the CloudWatch Events rule to target an AWS Lambda function to stop non-production instances and send notifications.

Use a scheduled Amazon CloudWatch Events rule to filter AWS Systems Manager events and identify idle EC2 instances and resources. Use the CloudWatch Events rule to target an AWS Lambda function to stop non-production instances and send notifications.

Use a scheduled Amazon CloudWatch Events rule to target a custom AWS Lambda function that runs AWS Trusted Advisor checks Create a second CloudWatch Events rule to filter events from Trusted Advisor to trigger a Lambda function to stop idle non-production instances and send notifications

Use a scheduled Amazon CloudWatch Events rule to target Amazon Inspector events for idle EC2 instances Use the CloudWatch Events rule to target the AWS Lambda function to stop non-production instances and send notifications

Question 24

A law firm is running a web application on AWS. The system manages legal documents uploaded by users, and stores the documents in Amazon S3. Users have complained that file uploads are taking too long and there are timeouts during peak usage. A DevOps engineer found that web servers are managing concurrent uploads and are overloaded.

Which actions should be taken to troubleshoot the issue in the MOST cost-effective manner?

Options:

Create an AWS CloudFront distribution in front of the web servers, and modify the application to upload to Amazon S3 using S3 Transfer Acceleration.

Modify the application so the browser uses a signed URL to directly upload to Amazon S3 using multipart uploads.

Create an AWS CloudFront distribution in front of the web servers, and modify the application to store files in Amazon EFS in the Max I/O performance mode.

Place the web servers in an Amazon EC2 Auto Scaling group to include Spot Instances and modify the application to upload to Amazon S3 using multipart uploads.

Question 25

A company has a mission-critical application on AWS that uses automatic scaling. The company wants the deployment lifecycle to meet the following parameters

•The application must be deployed one instance at a time to ensure the remaining fleet continues to serve traffic.

•the application is CPU intensive and must ho closely monitored

•the deployment must automatically roll back if the CPU utilization of the deployment instance exceeds 85%

Which solution will meet these requirements'?

Options:

Use AWS CloudForrnation to create an AWS Step Functions state machine and Auto Scaling lifecycle hooks to move to one instance at a time into a wait state. Use AWS Systems Manager automation to deploy the update to each instance and move it back into the Auto Scaling group using the heartbeat timeout

Use AWS CodeDeploy with Amazon EC2 Auto Scaling Configure an alarm tied to the CPU utilization metric Use the CodeDeployDefault OneAtAtime configuration as a deployment strategy Configure automatic rollbacks within the deployment group to roll back the deployment if the alarm thresholds are breached

Use AWS Elastic Beanstalk for load balancing and AWS Auto Scaling Configure an alarm tied to the CPU utilization metric Configure rolling deployments with a fixed batch size of one instance Enable enhanced health to monitor the status of the deployment and roll back based on the alarm previously created

Use AWS Systems Manager to perform a blue/green deployment with Amazon EC2 Auto Scaling Configure an alarm tied to the CPU utilization metric Deploy updates one at a time Configure automatic rollbacks within the Auto Scaling group to roll back the deployment if the alarm thresholds are breached.

Question 26

A development team wants to use AWS CIoudFormation slacks to deploy an application However, the developer 1AM role does not have the required permissions to provision the resources that are specified in the AWS Cloud Formation template A DevOps engineer needs to implement a solution that allows the developers to deploy the stacks The solution must follow the principle of least privilege

Which solution will meet these requirements?

Options:

Create an 1AM policy that allows the developers to provision the required resources Attach the policy to the developer 1AM role.

Create an 1AM policy that allows full access to AWS CIoudFormation Attach the policy to the developer 1AM role

Create an AWS CIoudFormation service role that has the required permissions Grant the developer 1AM role a cloudformation.'' action Use the new service role during stack deployments

Create an AWS CIoudFormation service role that has the required permissions Grant the developer IAM role the Iam PassRole permission Use the new service role during stack deployments

Question 27

A company has migrated its container-based applications to Amazon EKS and want to establish automated email notifications. The notifications sent to each email address are for specific activities related to EXS components. The solution will include Amazon SNS topics and an AWS Lambda function to evaluate incoming log events and publish messages to the correct SNS topic.

Which logging solution will support these requirements?

Options:

Enable Amazon CloudWatch Logs to log the EKS components. Create a CloudWatch subscription filter for each component with Lambda as the subscription feed destination.

Enable Amazon CloudWatch Logs to log the EKS components. Create CloudWatch Logs Insights queries linked to Amazon CloudWatch Events events that trigger Lambda.

Enable Amazon S3 logging for the EKS components. Configure an Amazon CloudWatch subscription filter for each component with Lambda as the subscription feed destination.

Enable Amazon S3 logging for the EKS components. Configure S3 PUT Object event notifications with AWS Lambda as the destination.

Question 28

A DevOps engineer used an AWS CloudFormation custom resource to set up AD Connector. The AWS Lambda function executed and created AD Connector, but CloudFormation is not transitioning from CREATE_IN_PROGRESS to CREATE.COMPLETE.

Which action should the engineer take to resolve this issue?

Options:

Ensure the Lambda function code has exiled successfully.

Ensure the Lambda function code returns a response to the pre-signed URL.

Ensure the Lambda function IAM role has cloudformation:UpdateStack permissions for the stack ARN.

Ensure the Lambda function IAM role has ds:ConnectDirectory permissions for the AWS account.

Question 29

An application is running on Amazon EC2. It has an attached IAM role that is receiving an AccessDenied error while trying to access a SecureString parameter resource in the AWS Systems Manager Parameter Store. The SecureString parameter is encrypted with a customer-managed Customer Master Key (CMK),

What steps should the DevOps Engineer take to grant access to the role while granting least privilege? (Select three.)

Options:

Set ssm:GetParamter for the parameter resource in the instance role's IAM policy.

Set kms:Decrypt for the instance role in the customer-managed CMK policy.

Set kms:Decrypt for the customer-managed CMK resource in the role's IAM policy.

Set ssm:DecryptParameter for the parameter resource in the instance role IAM policy.

Set kms:GenerateDataKey for the user on the AWS managed SSM KMS key.

Set kms:Decrypt for the parameter resource in the customer-managed CMK policy.

Question 30

A company wants to implement a CI/CD pipeline for an application that is deployed on AWS. The company also has a source-code analysis tool hosted on premises that checks for security flaws. The tool has not yet been migrated to AWS and can be accessed only on premises. The company wants to run checks against the source code as part of the pipeline before the code is compiled. The checks take anywhere from minutes to an hour to complete.

How can a DevOps Engineer meet these requirements?

Options:

Use AWS CodePipeline to create a pipeline. Add an action to the pipeline to invoke an AWS Lambda function after the source stage. Have the Lambda function invoke the source-code analysis tool on premises against the source input from CodePipeline. The function then waits for the execution to complete and places the output in a specified Amazon S3 location.

Use AWS CodePipeline to create a pipeline, then create a custom action type. Create a job worker for the custom action that runs on hardware hosted on premises. The job worker handles running security checks with the on-premises code analysis tool and then returns the job results to CodePipeline. Have the pipeline invoke the custom action after the source stage.

Use AWS CodePipeline to create a pipeline. Add a step after the source stage to make an HTTPS request to the on-premises hosted web service that invokes a test with the source code analysis tool. When the analysis is complete, the web service sends the results back by putting the results in an Amazon S3 output location provided by CodePipeline.

Use AWS CodePipeline to create a pipeline. Create a shell script that copies the input source code to a location on premises. Invoke the source code analysis tool and return the results to CodePipeline. Invoke the shell script by adding a custom script action after the source stage.

Question 31

An application is being deployed with two Amazon EC2 Auto Scaling groups, each configured with an Application Load Balancer. The application is deployed to one of the Auto Scaling groups and an Amazon Route 53 alias record is pointed to the Application Load Balancer of the last deployed Auto Scaling group.

Deployments alternate between the two Auto Scaling groups.

Home security devices are making requests into the application. The Development team notes that new requests are coming into the old stack days after the deployment. The issue is caused by devices that are not observing the Time to Live (TTL) setting on the Amazon Route 53 alias record.

What steps should the DevOps Engineer take to address the issue with requests coming to the old stacks, while creating minimal additional resources?

Options:

Create a fleet of Amazon EC2 instances running HAProxy behind an Application Load Balancer. The HAProxy instances will proxy the requests to one of the existing Auto Scaling groups. After a deployment the HAProxy instances are updated to send requests to the newly deployed Auto Scaling group.

Reduce the application to one Application Load Balancer. Create two target groups named Blue and Green. Create a rule on the Application Load Balancer pointed to a single target group. Add logic to the deployment to update the Application Load Balancer rule to the target group of the newly deployed Auto Scaling group.

Move the application to an AWS Elastic Beanstalk application with two environments. Perform new deployments on the non-live environment. After a deployment, perform an Elastic Beanstalk CNAME swap to make the newly deployed environment the live environment.

Create an Amazon CloudFront distribution. Set the two existing Application Load Balancers as origins on the distribution. After a deployment, update the CloudFront distribution behavior to send requests to the newly deployed Auto Scaling group.

Question 32

Your application is currently running on Amazon EC2 instances behind a load balancer. Your management has decided to use a Blue/Green deployment strategy. How should you implement this for each deployment?

Options:

Set up Amazon Route 53 health checks to fail over from any Amazon EC2 instance that is currently being deployed to.

Using AWS CloudFormation, create a test stack for validating the code, and then deploy the code to each production Amazon EC2 instance.

Create a new load balancer with new Amazon EC2 instances, carry out the deployment, and then switch DNS over to the new load balancer using Amazon Route 53 after testing.

Launch more Amazon EC2 instances to ensure high availability, de-register each Amazon EC2 instance from the load balancer, upgrade it, and test it, and then register it again with the load balancer.

Question 33

A company is using AWS Organizations to create separate AWS accounts for each of its departments. It needs to automate the following tasks:

Updating the Linux AMIs with new patches periodically and generating a golden image

Installing a new version of Chef agents in the golden image, if available

Enforcing the use of the newly generated golden AMIs in the department's account

Which option requires the LEAST management overhead?

Options:

Write a script to launch an Amazon EC2 instance from the previous golden AMI, apply the patch updates, install the new version of the Chef agent, generate a new golden AMI, and then modify the AMI permissions to share only the new image with the departments’ accounts.

Use an AWS Systems Manager Run Command to update the Chef agent first, use Amazon EC2 Systems Manager Automation to generate an updated AMI, and then assume an IAM role to copy the new golden AMI into the departments’ accounts.

Use AWS Systems Manager Automation to update the Linux AMI using the previous image, provide the URL for the script that will update the Chef agent, and then use AWS Organizations to replace the previous golden AMI into the departments’ accounts.

Use AWS Systems Manager Automation to update the Linux AMI from the previous golden image, provide the URL for the script that will update the Chef agent, and then share only the newly generated AMI with the departments’ accounts.

Question 34

A company has built a web service that runs on Amazon EC2 instances behind an Application Load Balancer (ALB) the company has deployed the application in us-east-1 Amazon Route 53 provides an external DNS that routes traffic from example.com to the application, created with appropriate health checks.

The company has deployed a second environment for the application in eu-west-1 the company wants traffic to be routed to whichever environment results m the best response time for each user. If there is an outage in one Region, traffic should be directed to the other environment.

Which configuration will achieve this requirements?

Options:

•A subdomain us example com with weighted routing the US ALB with weight 2 and the EU ALB with weight 1

•Another subdomain eu.example.com with weighted routing the EU ALB with weight 2 and the US ALU with weight 1

•Geolocation routing records for example.com North America aliased to us example.com and Europe aliased to eu.example.com

•A subdomain us example com with latency-based routing the US ALB as the first target and the EU ALB as the second target.

•Another subdomain eu.example.com with latency-based routing. The EU ALB as the first target and the US ALB as the second target.

•Failover routing records for example.com aliased to us.example.com as the first target and eu.example.com as the second target.

•A subdomain us.example.com with failover routing the US ALB as primary and the EU ALB as secondary

•Another subdomain eu.example.com with failover routing the EU ALB as primary and the US ALB as secondary

•Latency-based routing records for example com that are aliased to us example com and eu.example.com

•A subdomain us.example.com with multivalue answer routing. the US ALB as first and the EU ALB as second

•Another subdomain eu.example.com with failover routing the EU ALB as first and the US ALB as second

•Failover routing records for example.com that are aliased to us.example.com and eu.example.com

Question 35

A Development team creates a build project in AWS CodeBuild. The build project invokes automated tests of modules that access AWS services.

Which of the following will enable the tests to run the MOST securely?

Options:

Generate credentials for an IAM user with a policy attached to allow the actions on AWS services. Store credentials as encrypted environment variables for the build project. As part of the build script, obtain the credentials to run the integration tests.

Have CodeBuild run only the integration tests as a build job on a Jenkins server. Create a role that has a policy attached to allow the actions on AWS services. Generate credentials for an IAM user that is allowed to assume the role. Configure the credentials as secrets in Jenkins, and allow the build job to use them to run the integration tests.

Create a service role in IAM to be assumed by CodeBuild with a policy attached to allow the actions on AWS services. Configure the build project to use the role created.

Use AWS managed credentials. Encrypt the credentials with AWS KMS. As part of the build script, decrypt with AWS KMS and use these credentials to run the integration tests.

Question 36

A DevOps Engineer is using AWS CodeDeploy across a fleet of Amazon EC2 instances in an EC2 Auto Scaling group. The associated CodeDeploy deployment group, which is integrated with EC2 Auto Scaling, is configured to perform in-place deployments with CodeDeployDefault.OneAtATime. During an ongoing new deployment, the Engineer discovers that, although the overall deployment finished successfully, two out of five instances have the previous application revision deployed. The other three instances have the newest application revision.

What is likely causing this issue?

Options:

The two affected instances failed to fetch the new deployment.

A failed AfterInstall lifecycle event hook caused the CodeDeploy agent to roll back to the previous version on the affected instances.

The CodeDeploy agent was not installed in two affected instances.

EC2 Auto Scaling launched two new instances while the new deployment had not yet finished, causing the previous version to be deployed on the affected instances.

Question 37

A retail company is currently hosting a Java-based application in its on-premises data center. Management wants the DevOps Engineer to move this application to

AWS. Requirements state that while keeping high availability, infrastructure management should be as simple as possible. Also, during deployments of new application versions, while cost is an important metric, the Engineer needs to ensure that at least half of the fleet is available to handle user traffic.

What option requires the LEAST amount of management overhead to meet these requirements?

Options:

Create an AWS CodeDeploy deployment group and associate it with an Auto Scaling group configured to launch instances across subnets in different Availability Zones. Configure an in-place deployment with a CodeDeploy.HalfAtAtime configuration for application deployments.

Create an AWS Elastic Beanstalk Java-based environment using Auto Scaling and load balancing. Configure the network setting for the environment to launch instances across subnets in different Availability Zones. Use "Rolling with additional batch" as a deployment strategy with a batch size of 50%.

Create an AWS CodeDeploy deployment group and associate it with an Auto Scaling group configured to launch instances across subnets in different Availability Zones. Configure an in-place deployment with a custom deployment configuration with the MinimumHealthyHosts option set to type FLEET_PERCENT and a value of 50.

Create an AWS Elastic Beanstalk Java-based environment using Auto Scaling and load balancing. Configure the network options for the environment to launch instances across subnets in different Availability Zones. Use "Rolling" as a deployment strategy with a batch size of 50%.

Question 38

A company wants to implement a CI/CD pipeline for building and testing its mobile apps. A DevOps Engineer has been given the following requirements: Use AWS CodePipeline to orchestrate the workflow. Test the application on real devices. Trigger a notification. Stage the application binary on a production bucket in a different account. Make the application binary publicly accessible. Which sequence of actions should the Engineer perform in the pipeline to meet the requirements?

Options:

Use AWS CodeCommit as the code source and AWS CodeDeploy to compile and package the application. Use CodeDeploy to deploy the application binary to an AWS Lambda function for testing. Use a third-party library on AWS Lambda to simulate the device platform. Allow a Lambda role to upload to the production Amazon S3 bucket. Make the binary publicly accessible. Trigger notifications using Amazon SNS.

Use GitHub as the code source and AWS Lambda to compile and package the application. Use another Lambda function to run unit tests and deliver the application binary to a development bucket. Use the binary from the development bucket and install the application on a personal device for testing. Deliver the binary to the production bucket after approval. Trigger notifications using Amazon SNS.

Use an Amazon S3 bucket as the code source and AWS CodeBuild to compile and package the application. Use AWS CodeDeploy to deploy the application binary to a device farm for testing. Deliver the binary to the production S3 bucket. Use an S3 bucket policy to allow public read on the production S3 bucket. Trigger notifications using an Amazon CloudWatch Events rule with Amazon SNS.

Use AWS CodeCommit as the code source and AWS CodeBuild to compile and package the application. Invoke an AWS Lambda function that uploads the application binary to a device farm for testing. Deliver the binary to the production Amazon S3 bucket. Use an S3 bucket policy to allow public read on the production S3 bucket. Trigger notifications by using an Amazon CloudWatch Events rule.

Question 39

A company is migrating its public-facing software to AWS. The company plans to use Amazon EC2 to run application code and Amazon RDS to store all application data. The company wants to primarily use one Region with failover capabilities to a secondary Region and Amazon Route 53 to route traffic. The RPO is 2 hours and the RTO is 4 hours.

Which combination of steps should be used to meet these requirements while MINIMIZING cost? {Select THREE.)

Options:

Create an AWS CloudFormation template to provision the application server and database instance in a single Region.

Create an AWS CloudFormation template to provision the application tier of the application and a multi-Region database instance.

Configure Amazon CloudWatch Events rules to run every hour. Trigger AWS Lambda functions to create an RDS snapshot and copy it to the secondary Region.

Configure Amazon CloudWatch Events rules to run every 3 hours. Trigger AWS Lambda functions to create an RDS snapshot and copy it to the secondary Region.

In the event of a failure, deploy a new AWS CloudFormation stack in a secondary region to provision the application resources and a new RDS instance using the copied snapshot and a Route 53 failover routing policy.

In the event of a failure, deploy a new AWS CloudFormation stack in a secondary region to provision the application resources and a replica of the RDS database using the copied snapshot and a Route 53 latency-based routing policy.

Load More DOP-C01 Questions

Winter Special Flat 65% Limited Time Discount offer - Ends in 0d 00h 00m 00s - Coupon code: suredis

Amazon Web Services DOP-C01 AWS Certified DevOps Engineer - Professional Exam Practice Test

AWS Certified DevOps Engineer - Professional Questions and Answers

Options:

Answer:

Explanation:

Options:

Answer:

Options:

Answer:

Options:

Answer:

Options:

Answer:

Options:

Answer:

Explanation:

Options:

Answer:

Options:

Answer:

Explanation:

Options:

Answer:

Explanation:

Options:

Answer:

Options:

Answer:

Options:

Answer:

Options:

Answer:

Options:

Answer:

Options:

Answer:

Explanation:

Options:

Answer:

Options:

Answer:

Explanation:

Options:

Answer:

Options:

Answer:

Options:

Answer:

Options:

Answer:

Options:

Answer:

Explanation:

Options:

Answer:

Options:

Answer:

Options:

Answer:

Options:

Answer:

Options:

Answer:

Options:

Answer:

Options:

Answer:

Options:

Answer:

Options:

Answer:

Options:

Answer:

Explanation:

Options:

Answer:

Options:

Answer:

Options: