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Most Recent SAS A00-405 Exam Dumps

 

Prepare for the SAS Viya 3.5 Natural Language Processing and Computer Vision exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the SAS A00-405 exam and achieve success.

The questions for A00-405 were last updated on Apr 22, 2026.
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Question No. 1

Which statement describes a situation in which a bi-directional recurrent neural network is a better option than a unidirectional network?

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Correct Answer: A

Question No. 2

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?

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Correct Answer: C

Question No. 3

You have a very large set of documents you are preparing for SAS Visual Text Analytics Which two actions should you perform during data preparation? (Choose two)

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Correct Answer: A, C

Question No. 4

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)?

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Correct Answer: A

Question No. 5

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?

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Correct Answer: C

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