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

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Total 60 questions

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

Question 1

Given the category rule:

Question # 1

Which document would be identified based on the text strings in the answer options?

Options:

A.

The patient was diagnosed with Alzheimer's disease Side effects include decreased cognitive ability and memory issues

B.

Side effects include decreased cognitive ability and memory issue

C.

The patient was diagnosed with Alzheimers disease Side effects include decreased cognitive ability and memory issues

D.

Alzheimer s side effects include decreased cognitive ability and memory issues

Question 2

Given the code to score images:

Question # 2

What is the actual batch size?

Options:

A.

20

B.

2

C.

40

D.

10

Question 3

What are two reasons to use a pooling layer in a Convolution Neural Network (CNN)? (Choose two)

Options:

A.

to increase granularity of information

B.

to make the feature map invariant to transformation

C.

to extract features of different spatial scale

D.

to extract a summarized value from an area of the image

Question 4

Given an equivalent number of neurons why would you use an LSTM-based recurrent neural network over a conventional recurrent neural network?

Options:

A.

Implementation advantages - easier lo parallelize

B.

Size - uses (ewer parameters

C.

Efficiency-requires fewer computations

D.

Sequence memory - learns data dependencies spanning more sequence elements

Question 5

Which statement is TRUE regarding the impact of node placement"?

Options:

A.

When a Concept node appears after a Text Parsing node, only kept terms derived by the Text Parsing node can be used in concept creation

B.

When a Concept node is placed after a Text Parsing node: the term table is affected by the concepts defined in the Concept node and the concepts impact every node that follows the Concept node

C.

When the Concept node appears before the Text Parsing node in the pipeline, the spell-checking features of the Concept node produce parent and child terms that show up as synonyms in the term table created by the Text Parsing node

D.

When a Concept node is placed before a Text Parsing node the term table is affected by the concepts defined in the Concept node and the concepts impact every node that follows the Text Parsing node

Question 6

What sampling method does the DLTUNE action use to sample the hyper parameter values?

Options:

A.

Simple Random Sampling

B.

Systematic Sampling

C.

Stratified Random Sampling

D.

Latin Hypercube Sampling

Question 7

Which statement is TRUE regarding the document relevancy scores generated in the Topics Node?

Options:

A.

Relevancy scores enable you to emphasize certain user-specified documents

B.

Relevancy scores can be adjusted to increase the relevance of a document

C.

Relevancy scores are values between -1 and 1 where values that are closer to absolute 1 imply greater relevance

D.

Relevancy scores are normalized values to account for document length

Question 8

Assume no padding is used for the input.

What is the output feature map size created by the cross-correlation between a three color channel, 10*10 input and a 4"4 filter that has a stride of two?

Question # 8

Enter your numeric answers in the spaces above

Options:

Question 9

Refer to the Exhibit Tab:

Question # 9

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

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Total 60 questions