Free A00-251 - SAS Certified Professional: AI & Machine Learning Exam Questions and Answers
SAS Certified Professional: AI & Machine Learning is exam A00-251, part of SAS Global Certification from SAS Institute. Every SAS exam code takes the form A00- plus three digits, where the hundreds digit marks the era: 2xx exams cover SAS 9.4 programming, analytics and administration, and 4xx exams cover SAS Viya. Credentials are tiered Associate, Specialist and Professional.
The first 10 questions on this page are free to read, answers included — no account and no card. A plan opens the rest of the bank, the full timed practice test and your weak-topic reporting.
Last updated: September 16, 2026
- Exam code
- A00-251
- Provider
- SAS Institute
- Questions in our bank
- 1000+
- Free to read
- First 10, with answers
- Our test mode duration & pass mark
- 130 mins · 70%
- Verified answers
- Reviewed weekly
Recommended: Switch to Test Mode to start a practice test that simulates the real exam experience.
Question #1
A company wants to analyze customer purchasing behavior using clustering. Which method can be used?
Please select an optionIncorrectCorrect answer: A
K-Means Clustering groups data into clusters based on similarity.
Was this answer correct?Question #2
In a supervised learning scenario, which of the following is TRUE?
Please select an optionIncorrectCorrect answer: C
Supervised learning requires labeled data for training the model.
Was this answer correct?Question #3
Which algorithm is used for classification problems?
Please select an optionIncorrectCorrect answer: B
Support Vector Machine is commonly used for classification tasks.
Was this answer correct?Question #4
When assessing model performance, which metric is least useful for imbalanced datasets?
Please select an optionIncorrectCorrect answer: B
Accuracy can be misleading when classes are imbalanced.
Was this answer correct?Question #5
What is the primary purpose of a confusion matrix?
Please select an optionIncorrectCorrect answer: D
A confusion matrix summarizes predictions against actual outcomes.
Was this answer correct?Question #6
In SAS, which procedure is primarily used for regression analysis?
Please select an optionIncorrectCorrect answer: C
PROC REG is specifically designed for regression analysis in SAS.
Was this answer correct?Question #7
What is an ensemble method in machine learning?
Please select an optionIncorrectCorrect answer: A
Ensemble methods combine several models to improve prediction accuracy.
Was this answer correct?Question #8
Which technique would best handle missing data for a regression model?
Please select an optionIncorrectCorrect answer: A
All mentioned techniques can handle missing data depending on the context.
Was this answer correct?Question #9
In the context of deep learning, what does 'overfitting' refer to?
Please select an optionIncorrectCorrect answer: D
Overfitting occurs when a model learns the training data too well, including noise.
Was this answer correct?Question #10
What does 'cross-validation' help to achieve in model assessment?
Please select an optionIncorrectCorrect answer: A
Cross-validation evaluates model robustness by testing on different subsets of data.
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Other SAS Institute certifications
- A00-211: SAS Base Programming for SAS 9 (opens in a new tab)
- A00-240: SAS Statistical Business Analysis Using SAS 9: Regression and Modeling (opens in a new tab)
- A00-250: SAS Platform Administration for SAS 9 (opens in a new tab)
- A00-270 - SAS Certified Visual Business Analyst: Exploration and Design Using SAS Visual Analytics (opens in a new tab)
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- A00-270 - SAS Certified Visual Business Analyst: Exploration and Design Using SAS Visual (opens in a new tab)
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FAQ
- Q1: What is the A00-251 - SAS Certified Professional: AI & Machine Learning exam?
- A: A00-251 - SAS Certified Professional: AI & Machine Learning is a SAS Institute certification exam. Judging by the questions in our bank, it concentrates on learning, neural, ensemble, models and regression.
- Q2: What topics does the A00-251 - SAS Certified Professional: AI & Machine Learning exam cover?
- A: Questions in our A00-251 - SAS Certified Professional: AI & Machine Learning bank cluster around learning, neural, ensemble, models, regression, machine, linear and algorithm. Working through the full set is the quickest way to find which of these you are weakest on.
- Q3: How should I prepare for A00-251 - SAS Certified Professional: AI & Machine Learning?
- A: Work through the A00-251 - SAS Certified Professional: AI & Machine Learning practice questions here, checking your answer on each one, then sit the practice test to rehearse the exam under timed conditions before the real thing.
- Q4: Are these real A00-251 - SAS Certified Professional: AI & Machine Learning exam questions?
- A: They are drawn from officially released past questions and from community members who have sat A00-251 - SAS Certified Professional: AI & Machine Learning. Answers are verified and updated weekly.
- Q5: Where do I register for the A00-251 - SAS Certified Professional: AI & Machine Learning exam?
- A: Register through SAS Institute directly. Exampractice is not affiliated with SAS Institute and does not administer the exam.
- Q6: Is there a free A00-251 - SAS Certified Professional: AI & Machine Learning sample?
- A: Yes. Every A00-251 - SAS Certified Professional: AI & Machine Learning page shows a free sample of real questions. Upgrading opens the full bank and the practice test.
- Q7: What are SAS Institute Certification Exams?
- A: SAS Institute Certification Exams validate your expertise in using SAS software for data analytics, business intelligence, and data management. These certifications demonstrate your proficiency in applying SAS technologies to analyze data, generate insights, and support data-driven decision-making.
- Q8: Why should I pursue SAS Certification?
- A: SAS Certification enhances your professional credibility, showcasing your skills and knowledge in data analytics and SAS software. This can lead to better job opportunities, higher salaries, and career advancement in data analysis, business intelligence, and data science roles.
- Q9: What are the benefits of SAS Certification?
- A: Benefits include recognition as a certified SAS professional, improved job performance, access to exclusive resources, continuing education opportunities, and staying current with the latest SAS technologies and best practices.
- Q10: Who should take SAS Certification Exams?
- A: Data analysts, data scientists, business analysts, statisticians, and anyone involved in data management and analysis using SAS software should consider these certifications to validate their expertise and advance their careers.
- Q11: What types of SAS Certification Exams are available?
- A: SAS offers various certification paths, including:
- Q12: How do I prepare for SAS Certification Exams?
- A: Preparation can include official SAS training courses, study guides, practice exams, online tutorials, and hands-on experience with SAS products and solutions.
- Q13: Where can I take SAS Certification Exams?
- A: SAS Certification Exams can be taken online with remote proctoring or at authorized Pearson VUE testing centers worldwide, providing flexibility to fit your schedule and location.
- Q14: How do SAS Certifications impact my career?
- A: SAS Certifications significantly boost your career by demonstrating your expertise to employers, making you a more competitive candidate for advanced roles and promotions in data analysis, business intelligence, and data science.
- Q15: Are there any prerequisites for SAS Certification Exams?
- A: Some exams may have prerequisites, such as foundational knowledge or prior experience with SAS software. Check the specific requirements for each certification path on the SAS certification website.
- Q16: How often do I need to recertify for SAS Certifications?
- A: SAS Certifications typically do not require mandatory recertification. However, staying updated with the latest SAS technologies and continuing professional development is recommended to maintain your skills and relevance in the industry.