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A00-405 SAS Institute SAS Viya 3.5 Natural Language Processing and Computer Vision Free Practice Exam Questions (2025 Updated)

Prepare effectively for your SAS Institute A00-405 SAS Viya 3.5 Natural Language Processing and Computer Vision certification with our extensive collection of free, high-quality practice questions. Each question is designed to mirror the actual exam format and objectives, complete with comprehensive answers and detailed explanations. Our materials are regularly updated for 2025, ensuring you have the most current resources to build confidence and succeed on your first attempt.

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Total 60 questions

The following text siring "Wonder, Wondering, Wonderful, Wonderment, Wonders" is tested using the Category Rule

(OR, "wonder0">

Which terms are highlighted in the text string?

A.

Wonders

B.

Wonder Wondering, Wonders

C.

Wonder Wonders

D.

Wonder Wondering

E.

Wonderful, Wonderment, Wonders

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 about the QN modifier as it is used in the LITI language?

A.

The @N modifier is a NOT (negation) modifier

B.

The @N modifier is available in all concept rules

C.

The @N modifier expands a noun term to include all noun stemmed variants of the term

D.

The @N modifier specifies the starting byte location N where a word should be found

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

A.

Users 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

B.

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

C.

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

D.

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

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

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

A.

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

B.

Normalizations are applied using parameters learned during testing

C.

Normalizations are applied using parameters learned during training

D.

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

("Not*: This is an interactive item Follow the instructions to answer the question Scroll bars may appear if the windows are too small Each window can be re-sized by dragging on the 5 circles located between windows)

Complete the statement on the right with the options on the left.

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

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.

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

Given an equivalent number of neurons why would you use an LSTM-based recurrent neural network over a conventional recurrent neural network?

A.

Implementation advantages - easier lo parallelize

B.

Size - uses (ewer parameters

C.

Efficiency-requires fewer computations

D.

Sequence memory - learns data dependencies spanning more sequence elements

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?

A.

The "create rule from selected elements" feature for the term price in the Textual Elements pane of the Categories node

B.

The "matched documents" feature for a custom PRICE concept in the Concepts node

C.

The term table for a derived PRICE topic in the Topics node

D.

The "show similarity scores" feature for the term price in the Kept Terms pane of the Text Parsing node

Which option is incorporated in the dlTune action?

A.

Bayesian Optimization

B.

Hyperband Method

C.

Genetic Algorithm

D.

Simple Random Sampling

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

A.

The term relevancy score ranges front 0 to 1.

B.

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

C.

You can split or merge topics

D.

A single document contains only one topic

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

A.

When a Concept node appears after a Text Parsing node, only kept terms derived by the Text Parsing node can be used in concept creation

B.

When a Concept node is placed after a Text Parsing node: the term table is affected by the concepts defined in the Concept node and the concepts impact every node that follows the Concept node

C.

When the Concept node appears before the Text Parsing node in the pipeline, the spell-checking features of the Concept node produce parent and child terms that show up as synonyms in the term table created by the Text Parsing node

D.

When a Concept node is placed before a Text Parsing node the term table is affected by the concepts defined in the Concept node and the concepts impact every node that follows the Text Parsing node

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

A.

LoadActionSet

B.

Image

C.

DeepLearn

D.

Table

Given the code to score images:

What is the actual batch size?

A.

20

B.

2

C.

40

D.

10

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