To prepare for the A00-408 SAS Viya Natural Language Processing and Computer Vision exam, you’ll want to focus on understanding the key concepts and techniques outlined in the objectives.

Understand SAS Viya 4.0: Familiarize yourself with the SAS Viya platform, its features, and capabilities. Understand how it supports natural language processing (NLP) and computer vision tasks.
Loading and Exploring Data: Focus on techniques for loading and exploring data within SAS Viya. This could include data ingestion, data manipulation, data cleaning, and data visualization techniques.
Natural Language Processing Techniques: Spend a significant amount of time studying NLP techniques. This includes understanding how to preprocess text data, extract features, perform sentiment analysis, topic modeling, named entity recognition, text classification, and other NLP tasks.
Computer Vision Techniques: Similarly, dedicate time to studying computer vision techniques supported by SAS Viya. This may involve image preprocessing, feature extraction, object detection, image classification, image segmentation, and other computer vision tasks.
Practice with SAS Viya Tools: Get hands-on experience with SAS Viya tools and functionalities related to NLP and computer vision. Practice loading datasets, performing NLP and computer vision tasks, and interpreting results using SAS Viya.
Review Exam Content Guide: Download and thoroughly review the complete exam content guide provided by SAS. This will give you a detailed overview of the topics covered in the exam and help you prioritize your study efforts.
Take Practice Exams: Study online A00-408 practice questions related to SAS Viya NLP and computer vision. This will help you familiarize yourself with the exam format and identify any areas where you may need additional study.
Time Management: Since the exam has a time limit of 110 minutes for 60 questions, practice time management during your preparation. Aim to answer questions efficiently without spending too much time on any single question.