SAS Viya 3.5 Natural Language Processing and Computer Vision A00-405 Dumps Questions

1. Given these two addLayer action calls:

How many trainable parameters for layer fc2?

2. DRAG DROP

("Note: This is an interactive item Follow the instructions to answer the question Scroll bars may appear it the windows are too smart Each window can be resized by dragging on the 5 circles located between windows)

You are building a CNN for an image classification task

Drag the layers on the left to the slots on the right in the appropriate order (from top to bottom) for this task

You have the number of layers listed below

• Input Layer (1)

• Output Layer (1)

• Convolutional Layer (1)

• Fully Connected Layer (2)

• Pooling Layer (1)

3. Which option is the correct activation (unction for the output layer in a CNN model trained to classify an image belonging to one of the n classes (CI. C2, C3, , Cn)?

4. Refer to the exhibit.

Exhibit A details the structure of a convolutional model Exhibit B provides details o( each layer in the model The blue arrowed lines represent connections between layers.

What is the depth of the residual layer depicted above'?

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

6. CASL

Python

Review the code in the CASL and Python tabs The code sets are the same but in different languages Given this code which statement correctly describes this recurrent neural network built by the code set1?

7. Given the category rule:

Which document would be identified based on the text strings in the answer options?

8. Which statement is TRUE concerning the "dropout" option?

9. 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?

10. Refer to the exhibit.

Which statements are TRUE? (Choose two)

11. Which action set is needed to upload a picture into memory using SAS?

12. Which concept rule must be used for generating factual extraction within a sentence containing machine learning and text analytics?

A)

B)

C)

D)

13. What are two reasons to use a pooling layer in a Convolution Neural Network (CNN)? (Choose two)

14. 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?

15. Given the code:

How many trainable parameters do these lines add to the model

16. Consider the CONCEPT rule:

CONCEPT:red@A

Which choice represents a possible result from this CONCEPT rule?

17. CORRECT TEXT

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

18. Given the code to score images:

What is the actual batch size?

19. Consider the category rule:

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

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?