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SAS Certified Associate: Applied Statistics for Machine Learning — Requirements & Free Practice

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SAS Certified Associate: Applied Statistics for Machine Learning

SAS associate certification validating applied statistics for machine learning; earned through the A00-480 examination. The credential expires five years after award.

Licensing authority: SAS Institute Inc. · Application information

Initial by examination
SAS Certified Associate: Applied Statistics for Machine Learning
Applicability
The current SAS credential page identifies A00-480 and the 2022.09LTS software basis and directly links the indexed content guide. No official calendar start or end date is stated for this examination version or route, so date boundaries remain null.
Attempt Policy
For candidates needing another initial attempt: at most five attempts in a 12-month period, at least 14 days between attempts, and a charge for each attempt; further initial attempts are not allowed after passing.
Candidate Agreement
The candidate must accept the currently presented SAS Certification Candidate Agreement, comply with its conduct and certification conditions, and receive certification confirmation from SAS. Agreement 26.03 sections 4-5 preserve SAS's certification discretion and applicable trademark-guideline conditions.
Credential Lifetime
Certification expires after five years; this is an award-relative credential lifetime, not an official examination-version cutoff or a calendar validThrough date.
Qualification
Receive a passing score on the Applied Statistics for Machine Learning examination A00-480; the current credential page states a 68% passing score.
Registration
Create or use a Certification Portal account and schedule an exam appointment through SAS's Pearson VUE partnership; payment is made directly to Pearson at registration.
Scheduling
Appointments may be scheduled or modified through the portal. Cancel or reschedule at least 24 hours in advance; otherwise the fee is forfeited. A fixed enrollment window is not imposed in the cited appointment instructions.
Training
The SAS pathway presents courses, practice exams and sample questions as preparation resources; these are not additional examination leaves in the published credential earning criteria.

SAS Certified Associate: Applied Statistics for Machine Learning

Provider
SAS and Pearson VUE
Format
Computer-based multiple choice and short-answer examination
Exam questions
Total questions: 60.
Time limit
105 minutes
Passing score
68%
Exam fee
USD 120 standard examination fee
Examination outline

The authority publishes percentage ranges for each content area. The practice percentages below use the midpoint of each range, normalized to 100%; they are not exact percentages published by the authority. Practice question counts may differ slightly because of rounding.

  • Statistics and Machine Learning — Official range: 9–12% (Practice allocation: 10.55%)
    • Relevance of Statistics in Big Data and Machine Learning
    • Terminology and Vocabulary
  • Fundamental Statistical Concepts — Official range: 17–21% (Practice allocation: 19.1%)
    • Basics of Statistical Analysis
    • Descriptive Statistics
    • Inferential Statistics
  • Explanatory Modeling Using Linear Regression — Official range: 18–24% (Practice allocation: 21.11%)
    • Correlation and Simple Linear Regression
    • Multiple Regression and Model Selection
    • Model Diagnostics
  • Predictive Modeling Using Logistic Regression — Official range: 25–31% (Practice allocation: 28.14%)
    • Introduction to Predictive Modeling
    • Categorical Associations
    • Logistic Regression Model
    • Model Deployment
  • Statistical Foundations of Machine Learning — Official range: 18–24% (Practice allocation: 21.11%)
    • Overview of Machine Learning
    • Data Pre-processing for Machine Learning Models
    • Model Evaluation, Estimation, and Post-training Tasks
Examination sources