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SAS A00-405 Exam

Certification Provider: SAS
Exam Name: SAS Viya 3.5 Natural Language Processing and Computer Vision
Number of questions in our database: 60
Exam Version: Jun. 23, 2022
A00-405 Exam Official Topics:
  • Topic 1: Create and explore a project in SAS? Visual Text Analytics/ Use convolutional layers in a Convolutional Neural Network (CNN)
  • Topic 2: Tune the Hyperparameters of a Convolutional Neural Network (CNN)/ Use the Concepts and Text Parsing Nodes to extract Terms and Concepts
  • Topic 3: Use rules to identify documents belonging to specific categories/ Use output layers in a Convolutional Neural Network (CNN)
  • Topic 4: Identifying Text Patterns Using Natural Language Processing Techniques/ Use the Topics Node to extract machine-generated topics
  • Topic 5: Explain the impact of various architectural designs/ Use a Recurrent Neural Network (RNN) to recognize patterns
  • Topic 6: Use fully connected layers in a Convolutional Neural Network (CNN)/ Identifying Image Patterns Using Computer Vision Techniques
  • Topic 7: Use regularization techniques/ Loading and Exploring Data
  • Topic 8: Use padding in a Convolutional Neural Network (CNN)/ Import documents for analysis
  • Topic 9: Load and prepare image data/ Score new image data

Free SAS A00-405 Exam Actual Questions

The questions for A00-405 were last updated On Jun. 23, 2022

Question #1

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

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

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Correct Answer: A

Question #2

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

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Correct Answer: A

Question #3

Which option is incorporated in the dlTune action?

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Correct Answer: C

Question #4

Given these two addLayer action calls:

How many trainable parameters for layer fc2?

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Correct Answer: D

Question #5

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.

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Correct Answer: A


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