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A00-405 Exam Dumps : SAS Viya 3.5 Natural Language Processing and Computer Vision

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

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Question 1

Refer to the Exhibit tabs.

The Aviation Safely Reporting System document collection contains safety reports related to aviation A term map is created fortIhe term "incursion"

The term "taxiway" is directly connected to the term "incursion" Which statement is consistent with the exhibit?

Options:

A.

The document collection contains 1,888 documents, and the terms "taxiway" and "incursion" appear together in 80 documents

B.

The document collection contains 1,888 documents, and the term "taxiway" appears in 80 documents

C.

The term "incursion" appears in 1,888 documents and the term "taxrway" appears in 80 of those 1.888 documents

D.

The term "taxiway" appears in 1 888 documents, and the term "incursion" appears in 80 of those 1.888 documents

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Question 2

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 3

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

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