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Pass the SAS Institute Natural Language and Computer Vision Specialist A00-405 Questions and answers with ExamsMirror

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Questions # 11:

Assume you are using an addLayer call with dcopout=o. 5 to add a pooling layer into a CNN model What is the outcome of the addLayer call?

Options:

A.

The values from halt of the output neurons of the pooling layer ate randomly set to zero

B.

The output feature map size is increased 2 times on width and height.

C.

The values from half of the input neurons to the pooling layer are randomly set to zero

D.

The output feature map size is reduced by half on width and height

Questions # 12:

You have a very large set of documents you are preparing for SAS Visual Text Analytics Which two actions should you perform during data preparation? (Choose two)

Options:

A.

Use CHAR data type tor the Text variable with a long length

B.

Have enough number of documents for each category label

C.

Sample the data first for subsequent interactive model development

D.

Keep all the character variables in addition to the Text variable

Questions # 13:

Refer to the exhibit.

Question # 13

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

Question # 13

Enter your numeric answer in the space above.

Options:

Questions # 14:

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?

Options:

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

Questions # 15:

Refer to the exhibit (width'height'stride, d=depth):

Question # 15

What is the cardinality within this block*?

Options:

A.

4

B.

32

C.

3

D.

5

Questions # 16:

What is the minimum information required in an input data set prior to creating a SAS Visual Text Analytics project?

Options:

A.

A column of text

B.

A column of text, a document ID and a categorical group variable

C.

A column of text and a categorical group variable

D.

A column of text and a document ID

Questions # 17:

Complete the concept rule below with the rule type used to extract drug dosages.

Question # 17

Enter your answer in the field above

Options:

Questions # 18:

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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