A00-405 Online Practice Questions and Answers

Which option is the correct activation (unction for the output layer in a CNN model trained to classify an image belonging to one of the n classes (CI. C2, C3, , Cn)?

A. Sigmoid

B. ReLU

C. TanH

D. Softmax

Given the category rule:

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

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?

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

Which action set is needed to upload a picture into memory using SAS?

A. LoadActionSet

B. Image

C. DeepLearn

D. Table

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

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

Consider the category rule:

Which statement is TRUE about a document that satisfies this rule?

A. It exhibits the topic named INCURSION

B. It exhibits one or more of the items used to define the INCURSION concept

C. It contains the term "incursion" or any of the stemmed versions of "incursion '

D. It satisfies a previously defined INCURSION category rule but overrides the primary Boolean operator in the original rule with the OR operator

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

Refer to the exhibit.

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

Enter your numeric answer in the space above.

A. 12

Refer to the exhibit.

Which pooling summary operation and minimum square filter size (with stride of four) would generate the output feature map1?

A. 1, 1

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

Enter your answer in the field above

A. 50

Refer to the exhibit.

Which statement is TRUE?

A. Five documents contain 'basketball' or 'baseball'

B. Three documents contain both 'basketball' and "baseball'

C. The word 'baseball' occurs three times in five document

D. Five documents contain 'baseball'

Which is the correct syntax for using a previously defined LITI concept rule, `'Date_of_Diagnosis'' in a category rule?

A. (_tmac, " [Date_Of_Diagnosis} ")

B. (AND, "{Date_Of_Diagnosis)"} ")

C. (AND, "[Data_Off_Diagnosis]'} ")

D. (_tmac, "{Date_Of_Diagnosis} ")

Fill in the blanks in the code extracted from the source code download from a Category node.

Your goal is to categorize the documents in the my Score Tbl table which has been uploaded to the myCasUb library The text column Comments are identified by myKey, and the scoring output tables are to be saved in the same library as the score table

Enter your answer in the fields above.

A. mycas; name_of_input_data_set; perform; Name of the column to process in the input data set

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

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

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