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How can you ready for SAS Certified Data Integration Developer (A00-260) Certification Exam
For Salesforce SAS Certified Data Integration Developer (A00-260) Certification Exam, there is a study guide
Salesforce SAS Certified Data Integration Developer (A00-260): Get our quick guide if you don't have time to read all the page
SAS Data Management certification is considered the point of reference for knowledge, skills and proven ability to create metadata for source and target data, create metadata for target data and jobs and use transformations. SAS® Certified Data Integration Developer certification is a very important Certification in the SAS Institute certification hierarchy. SAS Institute A00-260 SAS Certified Integration Developer for SAS exam scores confirm that you have a solid knowledge base in data management and SAS data management support. To do this, you must pass the SAS Institute A00260 Data Integration Developer Institute Certificate for the SAS exam. A00-260 (SAS Certified Data Integration Developer for SAS) is one of the data management exams you must pass to obtain the SAS Data Management certification.
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.
Reference: https://www.sas.com/en_us/certification/credentials/data-management/data-integration-developer.html
Following is the SAS Certified Data Integration Developer (A00-260) Exam Format
Format: Multiple choices, multiple answers
- Language: English
- Number of Questions: 70
- Passing score: 70%
- Length of Examination: 110 minutes
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SASInstitute A00-260 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Working with Tables and Table Loader Transformation | 17-18% | - Performance and load optimization - Table Loader configuration and execution - Table creation and management |
| Topic 2: Working with Slowly Changing Dimensions | 6-7% | - SCD types and implementation - Change detection and tracking |
| Topic 3: In-Database Processing | 5-6% | - Enabling and using in-database processing - DBMS function integration - ELT vs ETL concepts |
| Topic 4: Generated Transformations and Job Deployment | 5-6% | - Generated transformation functionality - Stored processes and change management - Job deployment and scheduling |
| Topic 5: Creating Metadata for Target Data and Jobs | 17-18% | - New Table wizard and table metadata - Mapping, propagation and job metadata - Impact and reverse impact analysis |
| Topic 6: Creating Metadata for Source and Target Data | 19-20% | - Registering tables and libraries - Importing and exporting metadata - Metadata management and wizards |
| Topic 7: Overview | 5-6% | - SAS Data Integration Studio environment and administration - SAS Business Analytics platform architecture |
| Topic 8: Working with Transformations | 21-22% | - SQL and loop transformations - Data manipulation transformations - Lookup, validation and standardization |
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