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100+ Free SAS Machine Learning Viya Practice Questions

Pass your SAS Certified Specialist: Machine Learning Using SAS Viya (A00-406) exam on the first try — instant access, no signup required.

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What does Kolmogorov-Smirnov (KS) measure for a binary classifier?

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2026 Statistics

Key Facts: SAS Machine Learning Viya Exam

50-55

Exam Questions

SAS official credential page

90 min

Exam Duration

SAS official credential page

62%

Passing Score

SAS official credential page

$180

Exam Fee (USD)

SAS global exam pricing

A00-406

Exam Code

SAS certification registry

5 years

Credential Validity

SAS certification policy

A00-406 has 50-55 multiple-choice and short-answer questions in 90 minutes at $180 USD. Passing requires 62%. Three domains: Data Sources (30-36%), Building Models (40-46%), and Model Assessment and Deployment (24-30%). Focus on Model Studio pipeline templates, CAS PROCs (FOREST, GRADBOOST, NNET, SVMACHINE, LOGSELECT, REGSELECT), AUTOTUNE, PROC ASSESS, score code/.astore export, and SAS Model Manager.

Sample SAS Machine Learning Viya Practice Questions

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

1Which SAS Viya environment provides a visual, drag-and-drop pipeline interface for building and comparing supervised machine learning models?
A.SAS Studio
B.SAS Enterprise Guide
C.Model Studio
D.SAS Visual Analytics
Explanation: Model Studio is the visual pipeline interface inside SAS Viya for Data Mining and Machine Learning. It hosts pipeline templates (classification, regression, segmentation) where you chain data preparation, supervised learning, and assessment nodes.
2In SAS Viya, what is the purpose of CAS (Cloud Analytic Services)?
A.An on-disk index for SAS 9 datasets
B.A distributed in-memory analytics engine that executes CAS actions on tables
C.A REST API gateway for Pearson VUE scheduling
D.A graphical model interpretability tool
Explanation: CAS is the distributed in-memory analytics runtime at the core of SAS Viya. It loads tables into memory across worker nodes and executes CAS actions in parallel, which is what makes Viya ML procedures scale.
3Which CAS-enabled procedure imputes missing values for numeric and class variables in a CAS table?
A.PROC IMPUTE
B.PROC STDIZE
C.PROC VARREDUCE
D.PROC BINNING
Explanation: PROC IMPUTE replaces missing values in CAS tables. It supports mean, median, and mode imputation for interval and class inputs and writes an output table with the imputed columns.
4Which technique in PROC BINNING converts an interval variable into bins whose width grows or shrinks with target rate, supporting WOE encoding?
A.Bucket binning
B.Quantile binning
C.Winsorized binning
D.Pseudo-quantile binning
Explanation: Quantile binning produces bins of approximately equal frequency by sorting on the input and cutting at quantile boundaries. The resulting bins pair naturally with weight-of-evidence (WOE) encoding for credit-style scoring.
5Which PROC performs unsupervised variable reduction by computing variable clusters and selecting representative inputs?
A.PROC VARREDUCE
B.PROC VARCLUS
C.PROC PCA
D.PROC FACTOR
Explanation: PROC VARCLUS divides numeric variables into disjoint clusters using oblique principal components and selects a representative variable from each cluster, reducing redundancy without supervision.
6Which CAS PROC supervised variable selection technique scores variables by their unbiased contribution to a target?
A.PROC VARREDUCE with TECHNIQUE=PC
B.PROC VARREDUCE with TECHNIQUE=VARSUPERVISED
C.PROC VARCLUS with HIERARCHY
D.PROC PCA with NFACTORS=AUTO
Explanation: PROC VARREDUCE with TECHNIQUE=VARSUPERVISED performs target-aware variable reduction by greedily adding variables that explain the most target variance, controlling for already-selected predictors.
7What is a primary reason to use PROC PARTITION on a CAS table before training in Model Studio?
A.To compress the table for storage
B.To assign each observation to training, validation, or test roles
C.To impute missing values
D.To generate WOE bins
Explanation: PROC PARTITION creates a partition indicator variable that assigns each row to training, validation, or test based on a sampling scheme. Honest partitioning is the foundation for fair model assessment and tuning.
8When you partition data for a binary classification problem with rare events, which partitioning option preserves the event rate across roles?
A.Random sampling without replacement
B.Stratified sampling on the target
C.Systematic every-Nth sampling
D.Cluster sampling on the ID variable
Explanation: Stratified sampling on the target preserves the event rate in each partition. For rare events this is essential because simple random sampling can yield validation or test sets with very few or zero events.
9In Model Studio, which template should you select when the target is a numeric continuous variable like home price?
A.Classification template
B.Regression template
C.Segmentation template
D.Forecasting template
Explanation: The Regression template is preconfigured with regression-friendly nodes and assessment statistics like ASE and average error. Pick it whenever the target is interval and continuous.
10Which Model Studio template uses unsupervised techniques such as k-means or self-organizing maps to group similar observations?
A.Classification template
B.Regression template
C.Segmentation template
D.Anomaly Detection template
Explanation: The Segmentation template runs unsupervised clustering, typically k-means, and produces cluster IDs and profiling statistics. There is no target variable.

About the SAS Machine Learning Viya Exam

The SAS Certified Specialist: Machine Learning Using SAS Viya (A00-406) exam validates the ability to build, tune, assess, and deploy supervised machine learning models on SAS Viya 4 using Model Studio pipelines and CAS-resident PROCs. It covers data preparation, decision trees, forests, gradient boosting, neural networks, support vector machines, AUTOTUNE hyperparameter search, model comparison, interpretability, and deployment via score code or analytic stores.

Assessment

50-55 multiple-choice and short-answer questions

Time Limit

90 minutes

Passing Score

62%

Exam Fee

$180 USD (SAS / Pearson VUE)

SAS Machine Learning Viya Exam Content Outline

30-36%

Data Sources

Loading CAS tables, caslibs, PROC PARTITION, PROC IMPUTE, PROC BINNING (WOE), PROC STDIZE, PROC VARREDUCE, PROC VARCLUS, and Model Studio data preparation nodes (Manage Variables, Replacement, Imputation).

40-46%

Building Models

PROC TREESPLIT (CART, CHAID, pruning), PROC FOREST (NTREES, VARSAMPLE, OOB), PROC GRADBOOST (LEARNINGRATE, SUBSAMPLERATE, LASSO/RIDGE), PROC NNET (layers, ADAM/SGD, L1/L2, early stopping), PROC SVMACHINE (kernel, C), PROC LOGSELECT, PROC REGSELECT, AUTOTUNE search methods and objectives.

24-30%

Model Assessment and Deployment

PROC ASSESS (KS, ROC, lift, gains), Model Comparison and Ensemble nodes, interpretability (PDP, ICE, LIME, Shapley, variable importance), score code export (DS2, DATA step, Python, .astore via PROC ASTORE), champion/challenger, and monitoring with SAS Model Manager (PSI drift, retraining).

How to Pass the SAS Machine Learning Viya Exam

What You Need to Know

  • Passing score: 62%
  • Assessment: 50-55 multiple-choice and short-answer questions
  • Time limit: 90 minutes
  • 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 Machine Learning Viya Study Tips from Top Performers

1Focus the most time on Building Models (40-46%) since PROC FOREST, PROC GRADBOOST, PROC NNET, and PROC SVMACHINE dominate the question pool.
2Memorize the option names that map directly to bias/variance trade-offs: NTREES, VARSAMPLE, LEARNINGRATE, SUBSAMPLERATE, LASSO, RIDGE, MAXDEPTH.
3Practice Model Studio pipelines end to end (Data, Manage Variables, Imputation, Replacement, Model, Ensemble, Model Comparison, Score Code Export).
4Know when to choose AUC, KS, ASE, MCE, MAE for AUTOTUNE objectives and Model Comparison rankings.
5Understand interpretability differences: PDP vs ICE vs LIME vs Shapley vs variable importance, especially for regulated use cases.
6Practice exporting DS2, DATA step, Python score code, and .astore artifacts and recognize when each fits the deployment target.

Frequently Asked Questions

How many questions are on the SAS A00-406 Machine Learning Using SAS Viya exam?

SAS lists 50-55 multiple-choice and short-answer questions to be completed in a 90-minute exam window.

What score do I need to pass A00-406?

SAS lists a 62% passing score for the Machine Learning Using SAS Viya Specialist exam.

How much does the SAS A00-406 exam cost?

The standard SAS A00-406 exam fee is $180 USD; pricing varies by country.

Which SAS Viya version is the exam based on?

The exam is based on SAS Viya 4 with Model Studio pipelines and CAS-resident PROCs such as FOREST, GRADBOOST, NNET, and SVMACHINE.

How long does the certification last?

SAS lists the credential as valid for five years from the pass date.

Where do I take the exam?

A00-406 is delivered through Pearson VUE, including online-proctored options where supported.