A00-405 Practice Exam Questions with Answers SAS Viya 3.5 Natural Language Processing and Computer Vision Certification

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.

Given these two addLayer action calls:

How many trainable parameters for layer fc2?

Consider the category rule:

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

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

What is the primary purpose of the Topics node?

Which feature is enabled in the default settings of the Text Parsing Node?

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

Refer to the exhibit.

Which statements are TRUE? (Choose two)

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?

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.

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

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

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?

Refer to the exhibit.

The pixel intensity values for the top left corner of a 224x224 grey scale image are provided in Exhibit A This image is provided as input to the convolutional filter (Exhibit B) with equal zero padding of size 2 on all sides

What is the first value in the feature map resulting from applying this filler (cross-correlation operation)?