SAS A00-405 Exam Practice Test Instant Access

Question 1

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.

See Below Explanation:

Answer : A

Question 2

Which statements are TRUE regarding SAS Visual Text Analytics projects? (Choose two)

AUsers can include nodes from other Model Studio projects, including SAS Visual Forecasting and SAS Visual Data Mining and Machine B. Learning projects, in a SAS Visual Text Analytics pipeline

CAfter creating a project in SAS Visual Text Analytics users can run the project with a different data source

DUsers can promote a SAS Visual Text Analytics 8 2 project to SAS Visual Text Analytics 8 3 project

EA SAS Visual Text Analytics project created by one user cannot be accessed by another user

Answer : D

Question 3

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?

AThe RNN assigns a classification to each element in the sequence

BThe RNN predicts the next value in a sequence

CThe RNN assigns a classification to the entire sequence

DThe RNN predicts the previous value in a sequence

Answer : A

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

Refer to the exhibit (width'height'stride, d=depth):

What is the cardinality within this block*?

B32

Answer : D

Question 6

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 7

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

ASimple Random Sampling

BSystematic Sampling

CStratified Random Sampling

DLatin Hypercube Sampling

Answer : B

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