SAS Data Integration Development: A00-260 Exam

"SAS Data Integration Development", also known as A00-260 exam, is a SASInstitute Certification. With the complete collection of questions and answers, iPassleader has assembled to take you through 70 Q&As to your A00-260 Exam preparation. In the A00-260 exam resources, you will cover every field and category in SAS Institute Systems Certification Certification helping to ready you for your successful SASInstitute Certification.

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  • Updated on: Sep 11, 2026
  • No. of Questions: 70 Questions & Answers

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  • Updated on: Sep 11, 2026
  • No. of Questions: 70 Questions & Answers

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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.

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.

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There is the cost of SAS Certified Data Integration Developer (A00-260) Exam

The price of SAS Certified Data Integration Developer (A00-260) exam is $180 USD.

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

  • Number of Questions: 70
  • Passing score: 70%
  • Length of Examination: 110 minutes
  • Language: English

SASInstitute A00-260 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Integration Concepts- Data integration principles and best practices
- ETL architecture and workflows
Topic 2: SAS Data Integration Studio- Project creation and job flows
- Metadata management and repositories
Topic 3: Data Transformation and Processing- Using transformations and process flows
- Data extraction, transformation, and loading (ETL)
Topic 4: Data Quality and Management- Handling data inconsistencies and errors
- Data cleansing and validation
Topic 5: Job Scheduling and Automation- Monitoring and troubleshooting job execution
- Scheduling ETL jobs
Topic 6: Performance and Administration- Security and access control in SAS environments
- Performance tuning of ETL processes

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