2022 A00-405 Premium Files Test pdf - Free Dumps Collection [Q27-Q46]

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2022 A00-405 Premium Files Test pdf - Free Dumps Collection

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NEW QUESTION 27
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 28
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 29
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 30
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 31
Which activation function should be used to obtain a single scalar with value in (-1,1)9

  • A. ReLU
  • B. Softmax
  • C. TanH
  • D. Logistic

Answer: C

 

NEW QUESTION 32
What sampling method does the DLTUNE action use to sample the hyper parameter values?

  • A. Latin Hypercube Sampling
  • B. Systematic Sampling
  • C. Simple Random Sampling
  • D. Stratified Random Sampling

Answer: B

 

NEW QUESTION 33
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 34
Given the code to score images:

What is the actual batch size?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: A

 

NEW QUESTION 35
What is the minimum information required in an input data set prior to creating a SAS Visual Text Analytics project?

  • A. A column of text and a document ID
  • 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

Answer: A

 

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
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 38
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 39
Complete the concept rule by adding the Boolean Operator that should be used to find concepts where the term
"best" appears within five tokens of the term "picture"

Enter your answer in the field above.

Answer:

Explanation:
DIST_5

 

NEW QUESTION 40
Which node does not produce score code?

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

Answer: A

 

NEW QUESTION 41
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 42
Assume no padding is used for the input.
What is the output feature map size created by the cross-correlation between a three color channel, 10*10 input and a 4"4 filter that has a stride of two?

Enter your numeric answers in the spaces above

Answer:

Explanation:
3*3

 

NEW QUESTION 43
Consider the CONCEPT rule:
CONCEPT:red@A
Which choice represents a possible result from this CONCEPT rule?

  • A. Reds, a plural variant of the noun red
  • B. Redder, a variant of the adjective red
  • C. Redraw begins with the word red and then matches any set of alpha characters
  • D. Redness a noun having red as a root word

Answer: B

 

NEW QUESTION 44
Consider a 224x224 image provided as input for training a CNN for image classification A 5x5 filter is to be used with a stride of 1 for the first convolutional layer What size padding should be applied in order to maintain the original resolution to provide as input to the next layer?

Enter your numeric answer in the space above.

Answer:

Explanation:
3

 

NEW QUESTION 45
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 46
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