Candidates around the world prepare for the A00-405 exam with Prep4SureReview for a simple reason: the 62 practice questions are built by a large bench of professionals who keep the material in step with the times, and the service behind them treats customer needs as a development input.
SASInstitute A00-405 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identifying Text Patterns Using Natural Language Processing Techniques | 42% | - Write concept rules - Extract terms and concepts using Concepts and Text Parsing nodes - Extract topics using the Topics node - Build and apply Recurrent Neural Networks (RNN) - Identify documents via category rules |
| Topic 2: Loading and Exploring Data | 20% | - Create and explore a project in SAS Visual Text Analytics - Load and prepare image data - Import documents for analysis |
| Topic 3: Identifying Image Patterns Using Computer Vision Techniques | 38% | - Apply regularization and interpret architecture impact - Use convolutional layers in CNN - Configure fully connected and output layers - Tune CNN hyperparameters - Apply padding and pooling techniques - Score new image data |
A00-405 Exam Questions — Answered
Three full versions of the 62 practice questions for the SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision exam, all in one moderately priced package: a printable, expert-prepared PDF with instant download; a Desktop Test Engine for Windows that simulates the real exam with two practice modes and works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. You also receive a free demo, 365 days of free updates, a 50% renewal discount afterward, and unlimited computer installations.
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SASInstitute recommends these training resources for the SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision exam:
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The SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision exam gives you 90 minutes to answer 60. Time management is part of the test — rehearse with the timed mode in the Prep4SureReview Desktop Test Engine until pacing becomes automatic.
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The A00-405 exam is an official SASInstitute certification exam covering the SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision syllabus detailed above. As the certification grows more important in its field, the exam stays demanding — which is exactly why structured practice matters. Prep4SureReview prepares you with 62 practice questions in PDF, Desktop Test Engine, and Online Test Engine formats.
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No official prerequisites; basic SAS Viya and analytics knowledge recommended Since policies evolve, confirm the current requirements on the official SASInstitute exam page before scheduling.
The official SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision outline defines 3 content domains. The three heaviest are Loading and Exploring Data (20%), Identifying Text Patterns Using Natural Language Processing Techniques (42%), and Identifying Image Patterns Using Computer Vision Techniques (38%). The full list is in the topics section above, and the 62 practice questions at Prep4SureReview cover each domain.
SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision Sample Questions:
Which statement is TRUE regarding the Topics node in SAS Visual Text Analytics''
- A. You can split or merge topics
- B. A custom topic assigns a term relevancy score of 1 to each document containing the term.
- C. The term relevancy score ranges front 0 to 1.
- D. A single document contains only one topic
Correct Answer: D 🗳️
What is the primary purpose of the Topics node?
- A. Unsupervised categorization
- B. Information retrieval
- C. Document clustering
- D. Supervised categorization
Correct Answer: A 🗳️
Which option of the loadlmage action can be used to load images in the subdirectory tree of a directory?
- A. repeat
- B. recurse
- C. reload
- D. subdirs
Correct Answer: A 🗳️
Complete the concept rule by adding the Boolean Operator that should be used to find concepts where the term
"best" appears within five tokens of the term "picture"
Enter your answer in the field above.
Correct Answer:
DIST_5
Refer to the Exhibit Tab:
An analyst is trying to find Aviation Safety Reports (ASR) related to taxiway and runway incursions
* She does not know the LITI language
* She finds that 3 of the 14 derived topics have keywords related to incursion incidents.
* She would like to examine documents that discuss incursions from the current ASR document collection Which strategy will best support the analyst's goals?
- A. Add each of the 3 individual topics as categories then create a category rule in the Categories node that combines the three topic categories using a Boolean OR operation Examine the matched documents fix the incursion category rule
- B. Save the output data from the Topics results window and use the Explore and Visualize Data component of SAS Viya
- C. Use the Concepts node to define an INCURSION concept then include this concept in a category rule in the Categories node to identify documents having the INCURSION concept
- D. Use the Merge topics feature of the Topics node to combine the 3 topics, add the merged topic as a category, and then use the Categories node to categorize documents with respect to the category rules derived using the merged topic Examine the matched documents for the incursion category rule.
Correct Answer: B 🗳️
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