SAS A00-405 Exam Practice Test Instant Access

Question 1

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

AThe term relevancy score ranges front 0 to 1.

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

CYou can split or merge topics

DA single document contains only one topic

Answer : D

Question 2

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

Ato increase granularity of information

Bto make the feature map invariant to transformation

Cto extract features of different spatial scale

Dto extract a summarized value from an area of the image

Answer : A, C

Question 3

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

AReduce overfitting

BDownsample a feature map

CMinimize the toss function

DCalculate a softmax

Answer : C

Question 4

What computation is performed when applying a neural network with Batch Normalization to test data?

A and o^2 are estimated using an exponentially weighted average across tram and test sets

BNormalizations are applied using parameters learned during testing

CNormalizations are applied using parameters learned during training

D and o^2 are estimated using an exponentially weighted average across test set

Answer : A

Question 5

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?

AThe values from halt of the output neurons of the pooling layer ate randomly set to zero

BThe output feature map size is increased 2 times on width and height.

CThe values from half of the input neurons to the pooling layer are randomly set to zero

DThe output feature map size is reduced by half on width and height

Answer : A

Question 6

Which statement is TRUE concerning the "dropout" option?

AIt specifies the number of neurons to drop from each layer of the network

BIt specifies the percentage of neurons to drop from a given layer of the network

CIt specifies the percentage of neurons to drop from the entire network

DIt specifies the number of layers to drop from the entire network

Answer : B

Question 7

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.

See Below Explanation:

Answer : A

SAS A00-405 SAS Viya 3.5 Natural Language Processing and Computer Vision Exam Practice Test