[Q17-Q42] Tested Material Used To A00-405 Test Engine Exam Questions in here [Dec-2021]

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Tested Material Used To A00-405 Test Engine Exam Questions in here [Dec-2021]

Penetration testers simulate A00-405 exam PDF

NEW QUESTION 17
Given the code to add a concatenation layer:

Assume the output dimensions (width*depth):
* source layer A 100*100*5
* source layer B 100*100*5
* source layer C 100*100*3
What is the correct dimension of the output of this concatenation layer?

  • A. 100'100'18
  • B. 100'100'13
  • C. 300'300'5
  • D. 300'300'13

Answer: A

 

NEW QUESTION 18
Which statement describes a situation in which a bi-directional recurrent neural network is a better option than a unidirectional network?

  • A. The data at any given point in time depends only on the previous elements of the sequence
  • B. The data at any given point in time depends on both the previous and subsequent elements of the sequence
  • C. The data at any given point in time depends only on the subsequent elements of the sequence
  • D. The data at any given point in time is independent of both the previous and subsequent elements of the sequence

Answer: B

 

NEW QUESTION 19
Given an equivalent number of neurons why would you use an LSTM-based recurrent neural network over a conventional recurrent neural network?

  • A. Efficiency-requires fewer computations
  • B. Sequence memory - learns data dependencies spanning more sequence elements
  • C. Implementation advantages - easier lo parallelize
  • D. Size - uses (ewer parameters

Answer: D

 

NEW QUESTION 20
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 "show similarity scores" feature for the term price in the Kept Terms pane of the Text Parsing node
  • C. The "matched documents" feature for a custom PRICE concept in the Concepts node
  • D. The term table for a derived PRICE topic in the Topics node

Answer: D

 

NEW QUESTION 21
What are two reasons to use a pooling layer in a Convolution Neural Network (CNN)? (Choose two)

  • A. to extract a summarized value from an area of the image
  • B. to increase granularity of information
  • C. to extract features of different spatial scale
  • D. to make the feature map invariant to transformation

Answer: B,C

 

NEW QUESTION 22
Refer to the exhibit.

Which statement is TRUE?

  • A. Five documents contain 'baseball'
  • B. Five documents contain 'basketball' or 'baseball'
  • C. Three documents contain both 'basketball' and "baseball'
  • D. The word 'baseball' occurs three times in five document

Answer: A

 

NEW QUESTION 23
What is the primary purpose of the Topics node?

  • A. Unsupervised categorization
  • B. Information retrieval
  • C. Document clustering
  • D. Supervised categorization

Answer: A

 

NEW QUESTION 24
What computation is performed when applying a neural network with Batch Normalization to test data?

  • A. Normalizations are applied using parameters learned during training
  • B. µ and o^2 are estimated using an exponentially weighted average across test set
  • C. Normalizations are applied using parameters learned during testing
  • D. µ and o^2 are estimated using an exponentially weighted average across tram and test sets

Answer: D

 

NEW QUESTION 25
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.

Answer:

Explanation:
mycas; name_of_input_data_set; perform; Name of the column to process in the input data set

 

NEW QUESTION 26
Given the code specifying the three initial layers of a convolutional network:

What is the size of me output tensor (image) ot pool?

  • A. 10*10
  • B. 5*5
  • C. 4*4
  • D. 8*8

Answer: A

 

NEW QUESTION 27
How many channels does a BGR image contain?

Enter your numeric answer in the space above

Answer:

Explanation:
3

 

NEW QUESTION 28
Which statement is TRUE regarding topic creation in the Topics node1?

  • A. Topics Map can be used to explore the topic and terms associations
  • B. Term density can be adjusted using a sliding bar in the Term Cloud panel
  • C. Exact document density threshold value can be supplied in the Edit Topics Properties window
  • D. Custom topics can be generated using user-specified terms

Answer: A

 

NEW QUESTION 29
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. 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
  • B. Save the output data from the Topics results window and use the Explore and Visualize Data component of SAS Viya
  • C. 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.
  • D. 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

Answer: B

 

NEW QUESTION 30
Regularization in neural networks represents a set of techniques devised to accomplish what?

  • A. Calculate a softmax
  • B. Minimize the toss function
  • C. Reduce overfitting
  • D. Downsample a feature map

Answer: B

 

NEW QUESTION 31
Given the code:

How many trainable parameters do these lines add to the model

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: A

 

NEW QUESTION 32
Which option of the loadlmage action can be used to load images in the subdirectory tree of a directory?

  • A. subdirs
  • B. repeat
  • C. reload
  • D. recurse

Answer: B

 

NEW QUESTION 33
Which node does not produce score code?

  • A. Topics
  • B. Concepts
  • C. Sentiment
  • D. Text Parsing

Answer: A

 

NEW QUESTION 34
Which statement is TRUE about the QN modifier as it is used in the LITI language?

  • A. The @N modifier specifies the starting byte location N where a word should be found
  • B. The @N modifier is a NOT (negation) modifier
  • C. The @N modifier is available in all concept rules
  • D. The @N modifier expands a noun term to include all noun stemmed variants of the term

Answer: B

 

NEW QUESTION 35
Which statement is TRUE regarding the impact of node placement"?

  • A. 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
  • B. 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
  • C. 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
  • D. 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

Answer: D

 

NEW QUESTION 36
Which statement is TRUE about importing documents into SAS Visual Text Analytics using the Explore and Visualize Data menu?

  • A. You must store the documents as txt files in a folder
  • B. You must correct misspelled words in the document collection
  • C. You must convert your document collection to a SAS data set
  • D. You must include your document collection in a parent folder

Answer: D

 

NEW QUESTION 37
The following text siring "Wonder, Wondering, Wonderful, Wonderment, Wonders" is tested using the Category Rule (OR, "wonder0"> Which terms are highlighted in the text string?

  • A. Wonder Wondering
  • B. Wonderful, Wonderment, Wonders
  • C. Wonder Wonders
  • D. Wonder Wondering, Wonders
  • E. Wonders

Answer: A

 

NEW QUESTION 38
Which statement is TRUE concerning the "dropout" option?

  • A. It specifies the percentage of neurons to drop from the entire network
  • B. It specifies the number of neurons to drop from each layer of the network
  • C. It specifies the number of layers to drop from the entire network
  • D. It specifies the percentage of neurons to drop from a given layer of the network

Answer: D

 

NEW QUESTION 39
Which document structures are NOT identifiable using LITI rules'?

  • A. sentences
  • B. paragraphs
  • C. words
  • D. pages

Answer: D

 

NEW QUESTION 40
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)

  • A. Keep all the character variables in addition to the Text variable
  • B. Have enough number of documents for each category label
  • C. Sample the data first for subsequent interactive model development
  • D. Use CHAR data type tor the Text variable with a long length

Answer: C,D

 

NEW QUESTION 41
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