SASInstitute A00-406 Exam Overview:
| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | SAS® Viya® Supervised Machine Learning Pipelines |
| Exam Number: | A00-406 |
| Exam Price: | USD 180 |
| Exam Format: | Scenario-based Questions, Multiple Choice |
| Related Certifications: | SAS Certified Specialist: Machine Learning Using SAS Viya |
| Exam Duration: | 110 minutes |
| Certificate Validity Period: | 3 years |
| Available Languages: | English |
| Recommended Training: | SAS Machine Learning Using SAS Viya Training |
| Exam Registration: | SAS Certification Portal Registration |
| Sample Questions: | SASInstitute A00-406 Sample Questions |
| Exam Way: | Online proctored exam via Pearson VUE or authorized testing centers |
| Pre Condition: | No strict prerequisites; recommended familiarity with basic statistics, machine learning concepts, and SAS Viya platform |
| Official Syllabus URL: | https://www.sas.com/en_us/certification.html |
SASInstitute A00-406 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Machine Learning Pipelines in SAS Viya | - Pipeline construction
|
| Data Preparation for Machine Learning | - Data cleaning and preprocessing
|
| Supervised Machine Learning Models | - Model selection techniques
|
| Model Evaluation and Deployment | - Model deployment
|
SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:
Question 1
What is the primary function of a data catalog in managing data sources?
A. Data analysis
B. Data documentation and discovery
C. Data storage
D. Data visualization
Question 2
Which data source typically provides access to real-time financial market data?
A. Online news websites
B. Stock market APIs
C. Social media platforms
D. Weather stations
Question 3
What is the primary purpose of model deployment in the context of data science and machine learning?
A. Making the model available for use in real-world applications
B. Data preprocessing
C. Model evaluation
D. Model building
Question 4
What is the purpose of hyperparameter tuning in a machine learning pipeline?
A. To optimize the model's hyperparameters for better performance
B. To train the model
C. To select the most important features
D. To evaluate the model's predictions
Question 5
Which type of data source typically stores structured data in a tabular format?
A. Text documents
B. NoSQL databases
C. Relational databases
D. APIs
Solutions:
| Question 1 Answer: B | Question 2 Answer: B | Question 3 Answer: A | Question 4 Answer: A | Question 5 Answer: C |

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