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SAS Institute A00-405 SAS Viya 3.5 Natural Language Processing and Computer Vision Exam Practice Test

Demo: 9 questions
Total 60 questions

SAS Viya 3.5 Natural Language Processing and Computer Vision Questions and Answers

Question 1

Given the code specifying the three initial layers of a convolutional network:

What is the size of me output tensor (image) ot pool?

Options:

A.

10*10

B.

5*5

C.

8*8

D.

4*4

Question 2

Which statement is TRUE regarding the Topics node in SAS Visual Text Analytics''

Options:

A.

The term relevancy score ranges front 0 to 1.

B.

A custom topic assigns a term relevancy score of 1 to each document containing the term.

C.

You can split or merge topics

D.

A single document contains only one topic

Question 3

CASL

Python

Review the code in the CASL and Python tabs The code sets are the same but in different languages Given this code which statement correctly describes this recurrent neural network built by the code set1?

Options:

A.

The RNN assigns a classification to each element in the sequence

B.

The RNN predicts the next value in a sequence

C.

The RNN assigns a classification to the entire sequence

D.

The RNN predicts the previous value in a sequence

Question 4

Consider the category rule:

Which statement is TRUE about a document that satisfies this rule?

Options:

A.

It exhibits the topic named INCURSION

B.

It exhibits one or more of the items used to define the INCURSION concept

C.

It contains the term "incursion" or any of the stemmed versions of "incursion '

D.

It satisfies a previously defined INCURSION category rule but overrides the primary Boolean operator in the original rule with the OR operator

Question 5

Refer to the exhibit.

How many output feature maps would be created by a convolutional layer with four filters applied to a three channel input?

Enter your numeric answer in the space above.

Options:

Question 6

What computation is performed when applying a neural network with Batch Normalization to test data?

Options:

A.

µ and o^2 are estimated using an exponentially weighted average across tram and test sets

B.

Normalizations are applied using parameters learned during testing

C.

Normalizations are applied using parameters learned during training

D.

µ and o^2 are estimated using an exponentially weighted average across test set

Question 7

Which is the correct syntax for using a previously defined LITI concept rule, ‘’Date_of_Diagnosis’’ in a category rule?

Options:

A.

(_tmac, " [Date_Of_Diagnosis} ")

B.

(AND, "{Date_Of_Diagnosis)"} ")

C.

(AND, "[Data_Off_Diagnosis]'} ")

D.

(_tmac, "{Date_Of_Diagnosis} ")

Question 8

Refer to the exhibit.

Which pooling summary operation and minimum square filter size (with stride of four) would generate the output feature map1?

Options:

Question 9

Refer to the Exhibit Tab:

An analyst is trying to find Aviation Safety Reports (ASR) related to taxiway and runway incursions

• She does not know the LITI language

• She finds that 3 of the 14 derived topics have keywords related to incursion incidents.

• She would like to examine documents that discuss incursions from the current ASR document collection

Which strategy will best support the analyst's goals?

Options:

A.

Use the Concepts node to define an INCURSION concept then include this concept in a category rule in the Categories node to identify documents having the INCURSION concept

B.

Use the Merge topics feature of the Topics node to combine the 3 topics, add the merged topic as a category, and then use the Categories node to categorize documents with respect to the category rules derived using the merged topic Examine the matched documents for the incursion category rule.

C.

Save the output data from the Topics results window and use the Explore and Visualize Data component of SAS Viya

D.

Add each of the 3 individual topics as categories then create a category rule in the Categories node that combines the three topic categories using a Boolean OR operation Examine the matched documents fix the incursion category rule

Demo: 9 questions
Total 60 questions