sas a00-405 practice test

Fill in the blanks in the code extracted from the source code download from a Category node.
Your goal is to categorize the documents in the my Score Tbl table which has been uploaded to the
myCasUb library The text column Comments are identified by myKey, and the scoring output tables
are to be saved in the same library as the score table

Enter your answer in the fields above.

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

• A. You must include your document collection in a parent folder
• B. You must convert your document collection to a SAS data set
• C. You must correct misspelled words in the document collection
• D. You must store the documents as txt files in a folder

Given the code to score images:

What is the actual batch size?

• A. 20
• B. 2
• C. 40
• D. 10

Given the code:

How many trainable parameters do these lines add to the model

• A. 25
• B. 520
• C. 250
• D. 500

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

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

Which activation function should be used to obtain a single scalar with value in (-1,1)9

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

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'?

• A. 30
• B. 60
• C. 15
• D. 45

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.

Which statement is TRUE concerning the "dropout" option?

• A. It specifies the number of neurons to drop from each layer of the network
• B. It specifies the percentage of neurons to drop from a given layer of the network
• C. It specifies the percentage of neurons to drop from the entire network
• D. It specifies the number of layers to drop from the entire network

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?

• A. 100'100'13
• B. 300'300'5
• C. 100'100'18
• D. 300'300'13