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SAS Certified Data Integration Developer (A00-260) Exam
This exam validates the candidate's ability to define the platform architecture for SAS Business Analytics, create metadata for target and source data, create metadata for target data and jobs, work with transformations, work with tables and transform loaders tables, work with slow dimensional changes, define the transformations generated and view the jobs.
Reference: https://www.sas.com/en_us/certification/credentials/data-management/data-integration-developer.html
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Following is the SAS Certified Data Integration Developer (A00-260) Exam Format
Format: Multiple choices, multiple answers
- Length of Examination: 110 minutes
- Number of Questions: 70
- Language: English
- Passing score: 70%
SASInstitute A00-260 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Creating Metadata for Target Data and Jobs | 17-18% | - New Table wizard and table metadata - Impact and reverse impact analysis - Mapping, propagation and job metadata |
| Topic 2: In-Database Processing | 5-6% | - DBMS function integration - ELT vs ETL concepts - Enabling and using in-database processing |
| Topic 3: Creating Metadata for Source and Target Data | 19-20% | - Registering tables and libraries - Importing and exporting metadata - Metadata management and wizards |
| Topic 4: Working with Slowly Changing Dimensions | 6-7% | - Change detection and tracking - SCD types and implementation |
| Topic 5: Generated Transformations and Job Deployment | 5-6% | - Generated transformation functionality - Job deployment and scheduling - Stored processes and change management |
| Topic 6: Overview | 5-6% | - SAS Data Integration Studio environment and administration - SAS Business Analytics platform architecture |
| Topic 7: Working with Tables and Table Loader Transformation | 17-18% | - Table creation and management - Performance and load optimization - Table Loader configuration and execution |
| Topic 8: Working with Transformations | 21-22% | - SQL and loop transformations - Data manipulation transformations - Lookup, validation and standardization |
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