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SAS Institute A00-405 Exam With Confidence Using Practice Dumps

Exam Code:
A00-405
Exam Name:
SAS Viya 3.5 Natural Language Processing and Computer Vision
Certification:
Natural Language and Computer Vision Specialist
Vendor:
SAS Institute
Questions:
60
Last Updated:
Apr 30, 2025
Exam Status:
Stable
SAS Institute A00-405

A00-405: Natural Language and Computer Vision Specialist Exam 2025 Study Guide Pdf and Test Engine

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

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Question 1

Which feature is enabled in the default settings of the Text Parsing Node?

Options:

A.

misspelling detection

B.

synonym list

C.

minimum number of documents

D.

start list

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Question 2

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

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

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