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The A00-420 exam covers a wide range of topics related to SAS Viya programming, including data manipulation, data analysis, and reporting. Participants will be tested on their knowledge of SAS Viya programming concepts, as well as their ability to apply these concepts in real-world scenarios. A00-420 exam includes multiple-choice questions and practical exercises that require participants to write SAS Viya programs to solve specific problems.
Reference: https://www.sas.com/en_us/certification/credentials/foundation-tools/viya-programming-specialist.html#exam-details
The SAS Viya Intermediate Programming exam is divided into two parts. The first part of the exam focuses on writing SAS programs using the SAS Viya programming environment. This section includes topics such as data access, data manipulation, and data transformation. The second part of the exam focuses on debugging SAS programs and troubleshooting common programming errors.
SASInstitute A00-420 Exam Syllabus Topics:
| Section | Objectives |
| Topic 1: Data Manipulation and Preparation | - Combining datasets
- 1. Joins and merges in CAS
- 2. Appending datasets
- Data transformation techniques
- 1. Filtering and subsetting data
- 2. Creating and modifying variables
|
| Topic 2: SAS Programming in Viya Environment | - PROC CAS and CASL usage
- 1. Using CASL for distributed processing
- 2. Executing CAS actions
- SAS procedures in Viya
- 1. PROC SQL in Viya
- 2. Common analytical procedures
|
| Topic 3: Programming Efficiency and Optimization | - Performance optimization
- 1. Efficient CAS processing
- 2. Resource management in distributed environments
- Macro usage in SAS Viya
- 1. Reusable code structures
- 2. Macro variables and automation
|
| Topic 4: Data Access and Management in SAS Viya | - Connecting to CAS (Cloud Analytic Services)
- 1. Session initialization and management
- 2. Loading data into CAS tables
- Data Import and Export
- 1. Exporting CAS tables
- 2. Reading external datasets (CSV, Excel, databases)
|
| Topic 5: Data Analysis and Reporting | - Descriptive statistics
- 1. Frequency analysis
- 2. Summary statistics and aggregations
- Data visualization basics
- 1. Creating plots and charts
- 2. Using SAS Visual Analytics concepts
|