Splunk SPLK-2001 Splunk Certified Developer Exam Exam Practice Test

 The correct answer is B, C, and D because these are the characteristics of an add-on. An add-on is a Splunk app that provides reusable components or technology for other apps. Option B is correct because an add-on occupies a unique namespace within Splunk, which means it has its own app directory and configuration files. Option C is correct because an add-on can depend on other add-ons for correct operation, such as the Common Information Model Add-on. Option D is correct because an add-on contains technology or components that are not intended for reuse by other apps, such as data inputs, field extractions, lookups, and modular inputs. Option A is incorrect because an add-on does not require a navigation file, as it does not have any user interface elements. You can find more information about add-ons in the Splunk Developer Guide.

The correct answer is C, because the snippet should be placed in the $APP_HOME/metadata/local.meta file. This file contains the app-level permissions for the app, such as who can read and write to the app, and whether the app is visible to all users or only to the app owner. The $APP_HOME/default/app.conf file contains the app-level settings, such as the app name, description, version, and dependencies. The $APP_HOME/local/default.meta file does not exist, and the $SPLUNK_HOME/etc/system/local/server.conf file contains the server-level settings, such as the hostname, port, SSL, and clustering.

The URL that could be used to construct a REST request to search the employee KV Store collection to find records with a rating greater than or equal to 2 and less than 5 is ‘http://localhost:8089/servicesNS/nobody/search/storage/collections/data/ employees?query={%22$and%22:[{%22rating%22:{%22$gte%22:2}},{%22rating%22:{% 22$lt%22:5}}]} &output_mode=json’. This URL uses the query parameter with a valid JSON expression that specifies the rating criteria, and the output_mode parameter with a value of json to return the results in JSON format. The other URLs are either invalid or use incorrect syntax for the query parameter. For more information, see Search a KV Store collection.

 The correct answer is A, C, and D because these are the application security best practices that should be adhered to while developing an app for Splunk. Option A is correct because reviewing the OWASP Top Ten List can help you identify and avoid the most common web application security risks. Option C is correct because reviewing the OWASP Secure Coding Practices Quick Reference Guide can help you learn and apply the best practices for secure coding. Option D is correct because ensuring that third-party libraries that the app depends on have no outstanding CVE vulnerabilities can help you prevent potential exploits and attacks. Option B is incorrect because storing passwords in clear text in .conf files is a bad practice that can compromise the security and privacy of your app and your data. You can find more information about the application security best practices in the Splunk Developer Guide.

 The element in a successful Splunk REST call response contains metadata encapsulating the element. The metadata includes information such as the title, author, updated time, and links of the entry. The content element contains the fields and values of the entry, such as the name, description, and configuration. The other options are either incorrect or not part of the element. For more information, see Access Splunk data using feeds.

The valid request arguments for the REST search endpoints are latest_time=now and earliest_time=-5h@h. These arguments specify the time range for the search, using relative or absolute time modifiers. The other arguments are invalid because they use rt (real-time) modifiers, which are not supported by the REST search endpoints. For more information, see [Specify time modifiers in your search].

The correct answer is A, B, and D because these are the criteria that the search must meet in order to successfully accelerate a report. A report is a saved search that runs on a schedule and returns results in a table or a chart. A report can be accelerated to improve its performance and reduce the load on the Splunk indexers. Option A is correct because the search cannot use event sampling, which is a technique that reduces the number of events returned by the search. Event sampling can affect the accuracy and consistency of the report results. Option B is correct because the search must use a transforming command, which is a command that converts the results into a data table with rows and columns. Transforming commands are required for report acceleration, as they enable the creation of summary data. Option D is correct because the commands before the first transforming command must be streamable, which means they can process each event as it is returned by the search. Streamable commands are preferred for report acceleration, as they reduce the memory usage and improve the performance of the search. Option C is incorrect because the search does not need to use a standard Splunk visualization, which is a type of chart or graph that displays the results. The search can use any visualization that is compatible with the report acceleration. You can find more information about report acceleration and the criteria for the search in the Splunk Developer Guide.

A Splunk custom visualization is a visualization that uses the Splunk Custom Visualization API. This API lets you create your own visualizations using JavaScript, HTML, and CSS. You can also use third-party libraries or frameworks to create custom visualizations. The other options are not custom visualizations, but rather variations of the built-in visualizations in Splunk. For more information, see [Custom visualizations overview].

It uses the $row.field|n$ syntax to reference the value of the link field in each row of the table. This syntax is used to create dynamic links in Simple XML dashboards. The other options are incorrect because they either use invalid syntax or do not reference the link field correctly. You can find more information about dynamic drill-downs and link syntax in the Splunk Developer Guide.

The correct answer is A, because the correct post-process syntax for the base search shown below is var mypostproc1 = new PostProcessManager {{ id: “post1”, managerid: “base-search”, search: “| stats count by sourcetype” }}. The PostProcessManager is a JavaScript object that creates a post-process search that runs on the results of a base search. The PostProcessManager requires three parameters: id, managerid, and search. The id is a unique identifier for the post-process search. The managerid is the id of the base search that the post-process search depends on. The search is the post-process search string that runs on the base search results. The other options are incorrect because they either use the wrong managerid, the wrong object name, or the wrong search string.

The correct answer is A, because tokenn​ame∣s ensures that quotation marks surround the value referenced by the token. The |s modifier is used to escape special characters in the token value, such as quotation marks, commas, and colons. This is useful when the token value is used in a search string or a drilldown action1. The other options are incorrect because they either do not escape the special characters or add extra quotation marks.

The Simple XML elements that configure panel link buttons are and true. The title element specifies the text that appears on the link button, and the option element enables the link button to be visible. The other elements are either irrelevant or used for different options. For more information, see Drilldown to a URL.

The navigation options that will be displayed to the end user are Search, Datasets, and Dashboards. This is because the local file overrides the default file, and the local file does not include the Reports view. For more information, see Configure navigation.

The correct answer is A and B, because _audit and _internal are the indexes that contain log files related to Splunk REST calls. The _audit index stores information about user activities, such as login attempts, searches, and saved reports. The _internal index stores information about Splunk components, such as splunkd, metrics, and REST calls.

The correct answer is B, because an HTTP header field is an intended use of HTTP Event Collector tokens. An HTTP Event Collector token is a unique identifier that is used to authenticate and authorize data sent to Splunk via the HTTP Event Collector (HEC). An HEC token can be specified in the Authorization header field of the HTTP request, using the format Authorization: Splunk  2. The other options are incorrect because they are not valid ways to use an HEC token. A cookie is a small piece of data stored by the web browser, not by Splunk. A JSON field in the HTTP request is used to specify the event data or metadata, not the HEC token. A password in conjunction with login is not related to HEC, but to Splunk Web or REST API authentication.

The correct answer is A, because data can be added to a KV Store collection only in JSON format. KV Store is a feature that allows Splunk to store and manage data in collections of key-value pairs. A KV Store collection is a logical grouping of key-value pairs that can be accessed and manipulated by Splunk apps. Data can be added to a KV Store collection either by using the Splunk Web interface, the Splunk REST API, or the Splunk SDKs. In all cases, the data must be formatted as JSON objects, which are collections of name-value pairs enclosed in curly braces1. The other formats, such as XML, CSV, and TXT, are not supported by KV Store.

The correct answer is C and D because these are the valid post-processing searches. A post-processing search is a type of search that applies additional filters or transformations to the results of a base search. A post-processing search can use any SPL command that does not require access to the raw data, such as stats, search, eval, and chart. Option C is correct because it uses the stats command to aggregate the count by log level. Option D is correct because it uses the search command to filter the results by log level and then uses the stats command to aggregate the count by component. Option A is incorrect because it uses the tstats command, which is not a valid post-processing command, as it requires access to the raw data. Option B is incorrect because it uses the sourcetype field, which is not available in the results of the base search, as it only returns the component and log_level fields. You can find more information about the post-processing searches in the Splunk Developer Guide.

A KV store collection can be associated with a namespace for users in the admin, power, and splunk-system-user roles. These roles have the capability to create and manage KV store collections. The nobody user cannot access any KV store collection, and the users in the admin and power roles alone cannot access the collections in the splunk-system-user namespace. For more information, see KV Store namespaces.

The correct answer is B and C because these are the statements that describe one-shot searches. A one-shot search is a type of search that runs once and returns all the results at once. Option B is correct because a one-shot search can specify csv as an output format, which returns the results as comma-separated values. Option C is correct because a one-shot search streams all the results upon search completion, which means it does not return any partial results while the search is running. Option A is incorrect because a one-shot search can be executed either synchronously or asynchronously, depending on the method used. Option D is incorrect because a one-shot search cannot use auto_cancel to set a timeout limit, as this parameter is only applicable for normal searches. You can find more information about one-shot searches in the Splunk REST API Reference Manual.

The correct answer is A because the tstats command is a generating command. A generating command is a type of command that does not require a base search and can generate results from the summary data or the raw data. The tstats command is a generating command that can retrieve statistical information from the summary data, such as the accelerated data models or the data model summaries. The tstats command is similar to the stats command, but it is faster and more efficient, as it does not need to scan the raw data. The other options are incorrect because they are not the type of command that tstats is. Option B is incorrect because a transforming command is a type of command that converts the results into a data table with rows and columns. Option C is incorrect because a centralized streaming command is a type of command that processes the results on the search head, not on the indexers. Option D is incorrect because a distributable streaming command is a type of command that processes the results on the indexers, not on the search head. You can find more information about the tstats command and the types of commands in the Splunk Developer Guide.

The correct answer is A and D, because configuring a WMI input and using a Windows universal forwarder are the ways to collect event logs from a remote Windows machine using a standard Splunk installation and no customization. WMI input is a type of input that collects Windows Management Instrumentation (WMI) data from remote Windows machines. Windows universal forwarder is a lightweight version of Splunk that can forward data from Windows machines to Splunk indexers.