Practice A00-405 Exam Online

Question 1

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

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

Answer: A

Question 2

Which statement is TRUE about the QN modifier as it is used in the LITI language?

A : The @N modifier is a NOT (negation) modifier

B : The @N modifier is available in all concept rules

C : The @N modifier expands a noun term to include all noun stemmed variants of the term

D : The @N modifier specifies the starting byte location N where a word should be found

Answer: A

Question 3

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

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

Answer: C

Question 4

An analyst wants to identify terms that might be used as keywords to search a document collection looking for consumer comments related to price Using which SAS Visual Text Analytics node and feature would be most efficient for this business need?

A : The "create rule from selected elements" feature for the term price in the Textual Elements pane of the Categories node

B : The "matched documents" feature for a custom PRICE concept in the Concepts node

C : The term table for a derived PRICE topic in the Topics node

D : The "show similarity scores" feature for the term price in the Kept Terms pane of the Text Parsing node

Answer: C

Question 5

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

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

Answer: C

Name:	SAS Viya 3.5 Natural Language Processing and Computer Vision
Exam Code:	A00-405
Certification:	Natural Language and Computer Vision Specialist
Vendor:	SAS Institute
Total Questions:	60
Last Updated:	Apr 25, 2024

SAS Institute A00-405