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100+ Free SAS Statistics for Machine Learning Practice Questions

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An ROC curve plots which two quantities against each other?

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2026 Statistics

Key Facts: SAS Statistics for Machine Learning Exam

60

A00-480 Questions

SAS official credential page

55-60

A00-485 Questions

SAS official credential page

68%

Passing Score

SAS official credential page

$120

Per Associate Exam

SAS / Pearson VUE pricing

5 years

Credential Validity

SAS Viya credential policy

2

Prerequisite Associate Exams

SAS Statistics for ML credential page

The Statistics for Machine Learning Specialist is awarded after passing two associate exams: A00-480 Applied Statistics for ML (60 questions, 105 minutes) and A00-485 Modeling Using SAS Visual Statistics (55-60 questions, 110 minutes). Each requires 68% to pass and is delivered via Pearson VUE for $120 USD per attempt. Topics span descriptive statistics, hypothesis testing, ANOVA, linear and logistic regression, regularization (LASSO/ridge/elastic net), decision trees, cross-validation, and SAS Visual Statistics interactive model building on Viya. Credential validity is 5 years.

Sample SAS Statistics for Machine Learning Practice Questions

Try these sample questions to test your SAS Statistics for Machine Learning exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 100+ question experience with AI tutoring.

1Which SAS PROC produces basic descriptive statistics such as mean, standard deviation, minimum, and maximum for numeric variables?
A.PROC FREQ
B.PROC MEANS
C.PROC TTEST
D.PROC REG
Explanation: PROC MEANS is the standard procedure for descriptive statistics on numeric variables. By default it returns N, mean, standard deviation, minimum, and maximum, and additional statistics can be requested on the PROC MEANS statement (e.g., MEDIAN, Q1, Q3, KURTOSIS, SKEWNESS).
2Which PROC is best suited for inspecting the distribution of a continuous variable, including QQ plots, percentiles, and tests for normality?
A.PROC UNIVARIATE
B.PROC PRINT
C.PROC SQL
D.PROC TABULATE
Explanation: PROC UNIVARIATE provides detailed distributional analysis including extreme values, percentiles, moments (skewness, kurtosis), and tests for normality (Shapiro-Wilk, Kolmogorov-Smirnov, Cramer-von Mises, Anderson-Darling). The QQPLOT and HISTOGRAM statements add diagnostic graphs.
3Skewness for a perfectly symmetric distribution equals which value?
A.1
B.-1
C.0
D.3
Explanation: Skewness measures asymmetry of a distribution. A perfectly symmetric distribution (such as the normal) has skewness equal to 0. Positive skewness indicates a longer right tail, negative skewness indicates a longer left tail.
4Excess kurtosis as reported by PROC UNIVARIATE for a normal distribution equals what value?
A.0
B.1
C.3
D.-1
Explanation: PROC UNIVARIATE reports excess kurtosis (kurtosis minus 3). For a normal distribution, raw kurtosis equals 3, so excess kurtosis is 0. Positive excess kurtosis indicates heavier tails than the normal (leptokurtic); negative indicates lighter tails (platykurtic).
5According to the Central Limit Theorem, the sampling distribution of the sample mean approaches which distribution as the sample size grows large?
A.Uniform
B.Normal
C.Chi-square
D.Exponential
Explanation: The Central Limit Theorem (CLT) states that, for independent samples drawn from any distribution with finite variance, the distribution of the sample mean approaches a normal distribution as n grows large. This justifies using normal-based inference for many estimators.
6A 95% confidence interval for a population mean means which of the following?
A.There is a 95% probability the true mean falls in this specific interval
B.If the procedure is repeated many times, about 95% of such intervals will contain the true mean
C.95% of sample observations lie within the interval
D.The sample mean is correct with 95% certainty
Explanation: A 95% confidence interval reflects the long-run frequency property of the construction procedure: under repeated sampling, about 95% of constructed intervals will contain the true parameter. Once computed, a specific interval either contains the true mean or does not.
7Which PROC is used to perform a two-sample t-test comparing the means of a continuous variable across two groups?
A.PROC MEANS
B.PROC TTEST
C.PROC FREQ
D.PROC LOGISTIC
Explanation: PROC TTEST conducts one-sample, paired, and independent two-sample t-tests. With a CLASS variable that has two levels, it produces both pooled (equal variance) and Satterthwaite (unequal variance) tests, plus the F test for equal variances.
8In PROC TTEST output for a two-sample comparison, when the Folded F test for equality of variances is rejected at alpha = 0.05, which p-value should you report?
A.Pooled t-test p-value
B.Satterthwaite t-test p-value
C.F test p-value
D.Chi-square p-value
Explanation: When the equal-variance assumption is rejected by the Folded F test, the Satterthwaite (Welch) t-test is appropriate because it uses a degrees-of-freedom approximation that does not assume equal variances. PROC TTEST prints both pooled and Satterthwaite results so you can choose based on the variance test or theory.
9Which of the following is the correct null hypothesis for a one-way ANOVA across k groups?
A.All group means are equal
B.All group variances are equal
C.Each group mean differs from every other
D.At least one mean is greater than zero
Explanation: One-way ANOVA tests H0: mu1 = mu2 = ... = muk. The alternative is that at least one group mean differs from the others. ANOVA assumes independent observations, normality within groups, and equal variances across groups.
10In PROC GLM, what does Type III sum of squares represent?
A.Sequential SS in the order effects are listed
B.Partial SS adjusted for all other effects in the model
C.Total SS for the dependent variable
D.Error SS only
Explanation: Type III SS measures the contribution of each effect after adjusting for every other effect in the model. It is the standard choice for testing main effects in unbalanced designs and is invariant to the order of CLASS variables on the MODEL statement.

About the SAS Statistics for Machine Learning Exam

The SAS Certified Specialist: Statistics for Machine Learning credential validates competency in statistical foundations for machine learning, exploratory and predictive modeling, regression and logistic regression, regularization, and model assessment using SAS PROCs and SAS Visual Statistics on Viya. Candidates earn the specialist designation by passing two prerequisite associate exams: Applied Statistics for Machine Learning (A00-480) and Modeling Using SAS Visual Statistics (A00-485).

Assessment

Two associate exams: A00-480 (60 questions) and A00-485 (55-60 questions)

Time Limit

105 minutes (A00-480) and 110 minutes (A00-485)

Passing Score

68% per associate exam

Exam Fee

$180 USD (SAS / Pearson VUE)

SAS Statistics for Machine Learning Exam Content Outline

9-12%

Statistics and Machine Learning

Foundational concepts that distinguish statistical inference from machine-learning prediction, supervised vs. unsupervised learning, and sampling and partitioning strategies.

17-21%

Fundamental Statistical Concepts

Descriptive statistics with PROC MEANS / UNIVARIATE / FREQ, probability distributions, hypothesis tests in PROC TTEST and PROC NPAR1WAY, one-way and factorial ANOVA via PROC GLM with Type I/II/III SS and Tukey HSD, plus Pearson and Spearman correlation in PROC CORR.

18-24%

Explanatory Modeling Using Linear Regression

PROC REG and PROC GLM, residual and influence diagnostics (Cook's D, leverage, DFBETAS, studentized residuals), multicollinearity (VIF, condition index), categorical predictors and interactions, and stepwise / LASSO / elastic-net selection in PROC GLMSELECT.

25-31%

Predictive Modeling Using Logistic Regression

PROC LOGISTIC for binary, ordinal proportional-odds, and nominal multinomial models; odds ratios, ROC curves, c-statistic, Hosmer-Lemeshow, deviance residuals, FIRTH for separation, and rare-event handling.

18-24%

Statistical Foundations of Machine Learning

Bias-variance tradeoff, K-fold and stratified cross-validation, regularization (LASSO, ridge, elastic net) via PROC GLMSELECT and PROC HPGENSELECT, decision trees in PROC HPSPLIT, PCA via PROC PRINCOMP, and clustering with PROC FASTCLUS.

How to Pass the SAS Statistics for Machine Learning Exam

What You Need to Know

  • Passing score: 68% per associate exam
  • Assessment: Two associate exams: A00-480 (60 questions) and A00-485 (55-60 questions)
  • Time limit: 105 minutes (A00-480) and 110 minutes (A00-485)
  • Exam fee: $180 USD

Keys to Passing

  • Complete 500+ practice questions
  • Score 80%+ consistently before scheduling
  • Focus on highest-weighted sections
  • Use our AI tutor for tough concepts

SAS Statistics for Machine Learning Study Tips from Top Performers

1Treat the credential as two exams: schedule A00-480 first to lock in the regression and logistic foundations.
2Practice PROC LOGISTIC with the EVENT= option so you always model the outcome you intend (default is the lowest level).
3For linear regression, master VIF (>10), Cook's D (>4/n), and standardized residuals (>|2|) as your diagnostic triad.
4In PROC GLMSELECT, know the difference between SELECT= (criterion to add) and STOP= (criterion to halt), and try LASSO, elastic net, and stepwise selections on the same data.
5For Visual Statistics on Viya, define a validation partition before fitting; assessment metrics will then default to validation.
6Memorize sensitivity, specificity, precision, F1, and ROC AUC formulas - they appear in both exams and most explanations.

Frequently Asked Questions

What exams do I need to pass for the Statistics for Machine Learning Specialist?

Two associate exams: SAS Certified Associate: Applied Statistics for Machine Learning (A00-480) and SAS Certified Associate: Modeling Using SAS Visual Statistics (A00-485). Holders of the older Visual Modeling using SAS Visual Statistics 8.4 on Viya credential may skip A00-485.

How many questions are on each prerequisite exam?

A00-480 has 60 multiple-choice and short-answer questions in 105 minutes. A00-485 has 55-60 multiple-choice and short-answer questions in 110 minutes.

What is the passing score?

Each prerequisite associate exam requires 68% to pass.

How much does the credential cost?

Each associate exam is $120 USD through Pearson VUE; full path cost is $240 USD across both exams. Combined credential pricing of $180 USD applies in some regions.

How long is the credential valid?

5 years, consistent with SAS Viya-based credential policy.

Which SAS procedures should I focus on?

Core procedures include PROC MEANS, UNIVARIATE, FREQ, TTEST, NPAR1WAY, CORR, GLM, REG, GLMSELECT, LOGISTIC, HPGENSELECT, HPSPLIT, PRINCOMP, and FASTCLUS, plus the SAS Visual Statistics Linear Regression, Logistic Regression, Decision Tree, GAM, and Cluster model objects.