Leads4pass > SASInstitute > Natural Language and Computer Vision Specialist > A00-405 > A00-405 Online Practice Questions and Answers

A00-405 Online Practice Questions and Answers

Questions 4

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

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Questions 5

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. Custom topics can be generated using user-specified terms

D. Exact document density threshold value can be supplied in the Edit Topics Properties window

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Questions 6

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

Enter your answer in the field above

A. 50

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Questions 7

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?

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

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Questions 8

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

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Questions 9

Which statements are TRUE regarding SAS Visual Text Analytics projects? (Choose two)

A. Users can include nodes from other Model Studio projects, including SAS Visual Forecasting and SAS Visual Data Mining and Machine B. Learning projects, in a SAS Visual Text Analytics pipeline

B. After creating a project in SAS Visual Text Analytics users can run the project with a different data source

C. Users can promote a SAS Visual Text Analytics 8 2 project to SAS Visual Text Analytics 8 3 project

D. A SAS Visual Text Analytics project created by one user cannot be accessed by another user

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Questions 10

Which statement is TRUE regarding the Topics node in SAS Visual Text Analytics''

A. The term relevancy score ranges front 0 to 1.

B. A custom topic assigns a term relevancy score of 1 to each document containing the term.

C. You can split or merge topics

D. A single document contains only one topic

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Questions 11

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.

A. 3

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Questions 12

Refer to the exhibit (width'height'stride, d=depth): What is the cardinality within this block*?

A. 4

B. 32

C. 3

D. 5

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Questions 13

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

A. Reduce overfitting

B. Downsample a feature map

C. Minimize the toss function

D. Calculate a softmax

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Exam Code: A00-405
Exam Name: SAS Viya 3.5 Natural Language Processing and Computer Vision
Last Update: Nov 15, 2024
Questions: 60
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