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SASInstitute A00-420 exam covers a wide range of topics, including SAS Viya programming concepts, data access, data transformation, data analysis, and reporting. A00-420 exam consists of 70 multiple-choice questions that need to be completed within 110 minutes. The passing score for A00-420 exam is 68%, and the exam is available in English.
Reference: https://www.sas.com/en_us/certification/credentials/foundation-tools/viya-programming-specialist.html#exam-details
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SASInstitute A00-420 (SAS Viya Intermediate Programming) Certification Exam is designed to assess an individual’s ability to use SAS Viya to perform advanced programming tasks. A00-420 exam is aimed at programmers who are already familiar with SAS programming and want to expand their knowledge to include SAS Viya. They should have experience with programming data sets, producing reports, and manipulating data using SAS.
SASInstitute A00-420 Exam Syllabus Topics:
| Section | Objectives |
| Topic 1: SAS Programming in Viya Environment | - SAS procedures in Viya
- 1. PROC SQL in Viya
- 2. Common analytical procedures
- PROC CAS and CASL usage
- 1. Using CASL for distributed processing
- 2. Executing CAS actions
|
| Topic 2: Data Analysis and Reporting | - Data visualization basics
- 1. Creating plots and charts
- 2. Using SAS Visual Analytics concepts
- Descriptive statistics
- 1. Frequency analysis
- 2. Summary statistics and aggregations
|
| Topic 3: Data Access and Management in SAS Viya | - Data Import and Export
- 1. Exporting CAS tables
- 2. Reading external datasets (CSV, Excel, databases)
- Connecting to CAS (Cloud Analytic Services)
- 1. Session initialization and management
- 2. Loading data into CAS tables
|
| Topic 4: Programming Efficiency and Optimization | - Performance optimization
- 1. Resource management in distributed environments
- 2. Efficient CAS processing
- Macro usage in SAS Viya
- 1. Reusable code structures
- 2. Macro variables and automation
|
| Topic 5: Data Manipulation and Preparation | - Combining datasets
- 1. Appending datasets
- 2. Joins and merges in CAS
- Data transformation techniques
- 1. Filtering and subsetting data
- 2. Creating and modifying variables
|