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Exam Review

Key Facts: SAS Applied Statistics for ML Exam

60

Exam Questions

SAS official credential page

105 min

Exam Duration

SAS official credential page

68%

Passing Score

SAS official credential page

$120

Exam Fee (USD)

SAS global exam pricing

A00-480

Exam Code

SAS certification registry

5 years

Credential Validity

SAS certification policy

The A00-480 exam has 60 multiple-choice and short-answer questions in 105 minutes at $120 USD with a 68% passing score. Five domains: Statistics and ML (9-12%), Fundamental Statistical Concepts (17-21%), Linear Regression (18-24%), Logistic Regression (25-31%), and Statistical Foundations of ML (18-24%). Based on SAS Viya 2022.09LTS.

Sample SAS Applied Statistics for ML Practice Questions

Try these sample questions to review concepts for the SAS Applied Statistics for ML exam. Each question includes a detailed explanation. Start the interactive quiz above for the full 100+ question experience with AI tutoring.

1Which SAS procedure is most commonly used to compute basic descriptive statistics such as mean, standard deviation, minimum, and maximum on numeric variables?
A.PROC FREQ
B.PROC MEANS
C.PROC SQL
D.PROC CONTENTS
Explanation: PROC MEANS is the standard SAS procedure for computing summary statistics (N, MEAN, STD, MIN, MAX) on numeric variables. By default it produces N, Mean, Std Dev, Minimum, and Maximum.
2Which measure of central tendency is least affected by extreme outliers?
A.Mean
B.Median
C.Mode
D.Range
Explanation: The median is the middle value of an ordered dataset and is robust to outliers because moving an extreme value further away does not change the middle position.
3In PROC UNIVARIATE output, which value would indicate a right-skewed (positively skewed) distribution?
A.Skewness near 0
B.Skewness clearly greater than 0
C.Skewness clearly less than 0
D.Kurtosis less than 0
Explanation: Positive skewness (greater than 0) indicates a long right tail. PROC UNIVARIATE reports both skewness and kurtosis; positive values for skewness mean the distribution is right-skewed.
4Which statistic measures the spread of the middle 50% of an ordered dataset?
A.Standard deviation
B.Variance
C.Interquartile range (IQR)
D.Coefficient of variation
Explanation: The interquartile range (IQR) equals Q3 minus Q1 and measures the spread of the middle 50% of the data. It is robust to outliers and used in boxplot construction.
5In PROC FREQ, which option produces a chi-square test of independence for a two-way table?
A.TABLES var1*var2 / NOPRINT
B.TABLES var1*var2 / CHISQ
C.TABLES var1 var2 / OUT=freqs
D.PROC FREQ / TEST=CHI
Explanation: Adding the CHISQ option to a TABLES statement (e.g., TABLES var1*var2 / CHISQ;) requests Pearson chi-square, likelihood-ratio chi-square, and related tests for the cross-tabulation.
6A standard normal distribution has which mean and standard deviation?
A.Mean 0, standard deviation 1
B.Mean 1, standard deviation 0
C.Mean 100, standard deviation 15
D.Mean depends on the sample
Explanation: The standard normal distribution Z has mean 0 and standard deviation 1. Z-scores rescale any normal variable to this distribution via Z = (X - mu) / sigma.
7An analyst computes a Z-score of 2.0 for a value. Roughly what proportion of standard normal values are above this?
A.About 50%
B.About 16%
C.About 2.5%
D.About 0.1%
Explanation: For the standard normal, about 95% of values lie within +/- 1.96 standard deviations of the mean, so roughly 2.5% lie above Z = 2.0 and 2.5% below Z = -2.0.
8Which SAS plot in PROC UNIVARIATE is most directly used to assess whether a variable is approximately normally distributed?
A.Histogram only
B.Q-Q plot (normal probability plot)
C.Bar chart
D.Scatter plot
Explanation: A Q-Q (quantile-quantile) plot compares sample quantiles to theoretical normal quantiles. Approximate linearity supports normality. PROC UNIVARIATE produces this with the QQPLOT statement.
9Which probability distribution is appropriate for modeling the count of independent rare events occurring in a fixed time interval?
A.Normal
B.Binomial
C.Poisson
D.Uniform
Explanation: The Poisson distribution models the count of independent events occurring in a fixed interval at a constant average rate (lambda). Mean and variance both equal lambda.
10A coin is flipped 10 times. The number of heads follows which distribution?
A.Poisson with lambda = 10
B.Binomial with n = 10, p = 0.5
C.Normal with mean 10
D.Exponential with rate 10
Explanation: A binomial distribution counts successes in n independent Bernoulli trials with constant probability p. For 10 flips of a fair coin, n = 10 and p = 0.5.

About the SAS Applied Statistics for ML Exam

The SAS Certified Associate: Applied Statistics for Machine Learning credential validates the ability to apply statistics to machine learning problems using SAS Viya. It covers descriptive statistics, distributions, sampling, hypothesis testing, ANOVA, correlation, linear regression, logistic regression, and the statistical foundations of machine learning.

Exam sponsor: SAS / Pearson VUE. The requirements and fees below concern the certification or admission exam, separate from our free practice resources.

Questions

60 questions

Time Limit

105 minutes

Passing Score

68%

Exam / Certification Fees

$120 USD

Exam sponsor website

Reported exam pass rate: Not published. Exam sponsor website

Fees, eligibility, and exam policies can change. Confirm them with the exam sponsor before applying or paying.

Our practice resources: topics covered

We aim to reflect publicly available exam outlines and topic information in our study resources. Coverage, format, and difficulty may differ from the actual exam, and we cannot guarantee that every detail is accurate or current. Confirm exam requirements, fees, and policies with the official exam sponsor.

9-12%

Statistics and Machine Learning

Distinguish supervised vs unsupervised learning, explanatory vs predictive modeling, and statistics-to-ML mapping in SAS Viya

17-21%

Fundamental Statistical Concepts

Descriptive statistics (PROC MEANS, UNIVARIATE, FREQ), distributions, sampling, CLT, hypothesis testing, t-tests, chi-square, ANOVA, correlation

18-24%

Explanatory Modeling Using Linear Regression

Simple and multiple linear regression with PROC REG and PROC GLMSELECT, R-squared, residual diagnostics, transformations, multicollinearity

25-31%

Predictive Modeling Using Logistic Regression

Binary logistic regression with PROC LOGISTIC, odds ratios, AUC/c-statistic, classification thresholds, model assessment

18-24%

Statistical Foundations of Machine Learning

Bias-variance tradeoff, train/validation/test partitions, overfitting, cross-validation, model selection, evaluation metrics

Preparing for the SAS Applied Statistics for ML Exam

What You Need to Know

  • Passing score: 68%
  • Exam length: 60 questions
  • Time limit: 105 minutes
  • Exam / certification fees: $120 USD Official sources

Using Our Practice Resources

  • Work through all 100 available questions
  • Review every answer and explanation
  • Track weak areas and revisit them
  • Use our AI tutor for tough concepts

SAS Applied Statistics for ML: Suggested Study Strategy

1Spend the most time on Logistic Regression (25-31%) and Linear Regression (18-24%) — together they are nearly half the exam
2Practice PROC TTEST for one-sample, paired, and two-sample tests, including pooled vs Satterthwaite
3Master PROC FREQ chi-square, Fisher's exact, and CMH for stratified categorical analysis
4Know how to read PROC REG residual vs predicted plots and Q-Q plots for regression assumptions
5Be fluent with PROC LOGISTIC odds-ratio output and the c-statistic (AUC) for predictive evaluation
6Drill the bias-variance tradeoff and train/validation/test logic — frequent applied-scenario questions

Frequently Asked Questions

How many questions are on the SAS A00-480 exam?

The exam has 60 multiple-choice and short-answer questions, completed in 105 minutes.

What is the passing score?

The passing score is 68%.

How much does the exam cost?

The exam fee is $120 USD worldwide.

How long is the certification valid?

The credential is valid for 5 years from the date earned.

What software is the exam based on?

The exam is based on SAS Viya 2022.09LTS and uses PROC MEANS, UNIVARIATE, FREQ, TTEST, GLM, REG, and LOGISTIC among others.