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Following are the requirements of SAS Certified Data Integration Developer (A00-260) Exam
There is no prerequisite for SAS Certified Data Integration Developer (A00-260) certification.
There are some steps to apply for SAS Certified Data Integration Developer (A00-260) Exam
In order to apply for the SAS Certified Data Integration Developer (A00-260), You have to follow these steps
- Step 1: Visit to Pearson Exam Registration
- Step 2: Signup/Login to Pearson VUE account
- Step 3: Search for SAS Certified Data Integration Developer (A00-260) Exam Certifications Exam
- Step 4: Select Date, time and confirm with payment method
Reference: https://www.sas.com/en_us/certification/credentials/data-management/data-integration-developer.html
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SASInstitute A00-260 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Creating Metadata for Target Data and Jobs | 17-18% | - Mapping, propagation and job metadata - New Table wizard and table metadata - Impact and reverse impact analysis |
| Topic 2: Working with Transformations | 21-22% | - Lookup, validation and standardization - SQL and loop transformations - Data manipulation transformations |
| Topic 3: Generated Transformations and Job Deployment | 5-6% | - Stored processes and change management - Generated transformation functionality - Job deployment and scheduling |
| Topic 4: In-Database Processing | 5-6% | - Enabling and using in-database processing - DBMS function integration - ELT vs ETL concepts |
| Topic 5: Working with Slowly Changing Dimensions | 6-7% | - SCD types and implementation - Change detection and tracking |
| Topic 6: Working with Tables and Table Loader Transformation | 17-18% | - Performance and load optimization - Table Loader configuration and execution - Table creation and management |
| Topic 7: Creating Metadata for Source and Target Data | 19-20% | - Importing and exporting metadata - Registering tables and libraries - Metadata management and wizards |
| Topic 8: Overview | 5-6% | - SAS Data Integration Studio environment and administration - SAS Business Analytics platform architecture |
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