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Exam Details:
The SAS Viya 3.5 Natural Language Processing and Computer Vision exam, with the exam code A00-405, is a certification exam offered by SAS Institute. The exam costs $180 USD and can be taken online or at a SAS testing center. The exam is a multiple-choice format and consists of 70 questions, which must be completed in 110 minutes. To pass the exam, candidates must achieve a score of at least 68%.
Exam Objectives:
The A00-405 exam is designed to test candidates on their understanding and knowledge of the following topics:
- Natural language processing (NLP) basics and concepts
- NLP techniques and algorithms
- Computer vision concepts and techniques
- Using SAS Viya to develop NLP and computer vision solutions
- Managing and deploying NLP and computer vision solutions with SAS Viya
- Optimizing NLP and computer vision solutions with SAS Viya
Who Should Take the Exam?
The A00-405 exam is ideal for data analysts, data scientists, software developers, and other professionals who work with NLP and computer vision solutions and want to demonstrate their proficiency in SAS Viya. Candidates should have a strong understanding of programming concepts, data analysis, and data manipulation with SAS Viya.
Related Books:
The following books can help candidates prepare for the A00-405 exam:
- "Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for NLP" by Taweh Beysolow II and Balaaji Nagarajan
- "Computer Vision: Algorithms and Applications" by Richard Szeliski
- "Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit" by Steven Bird, Ewan Klein, and Edward Loper
- "SAS Viya: The Python Perspective" by Kevin D. Smith and Xiangxiang Meng
- "SAS Viya: The R Perspective" by Kevin D. Smith and Xiangxiang Meng
In conclusion, passing the A00-405 SAS Viya 3.5 Natural Language Processing and Computer Vision exam requires a strong understanding of NLP and computer vision concepts and techniques, as well as experience using SAS Viya to develop and deploy solutions. Candidates can use study materials such as books and online resources to prepare for the exam and should take advantage of practice exams to improve their chances of success.
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