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, ExamcollectionPass 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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  • Exam Code: A00-260
  • Exam Name: SAS Data Integration Development
  • Certification Provider: SASInstitute
  • Corresponding Certification: SAS Institute Systems Certification
  • Updated: Jul 23, 2026
  • No. of Questions: 70 Questions & Answers with Testing Engine
  • Download Limit: Unlimited

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Following is the SAS Certified Data Integration Developer (A00-260) Exam Format

Format: Multiple choices, multiple answers

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

There are topics of SAS Certified Data Integration Developer (A00-260) Exam

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our SAS Certified Data Integration Developer A00-260 exam dumps will include the following topics:

Overview

  • Define the change management feature of SAS Data Integration Studio
  • Describe the available interfaces
  • Discuss the DataFlux Data Management Server
  • Define the architecture of the platform for SAS Business Analytics

Creating Metadata for Source and Target Data

  • Register metadata for a comma-delimited external file.
  • Use Register Tables wizard to register source data.
  • Define administrative tasks to be performed for SAS Data Integration Studio.
  • Describe the New Library Wizard.
  • Import and Export Metadata.

Creating Metadata for Target Data and Jobs

  • Investigate mapping and propagation.
  • Generate reports on metadata for tables and jobs.
  • Discuss components of Join's Designer window
  • Define Impact and Reverse Impact Analysis.
  • Describe features of the New Table wizard.
  • Work with performance statistics.
  • Import SAS code.

Working with Transformations

  • Discuss and use the Rank, Transpose, Append, List and Sort transformations.
  • Discuss and use transformations in the SQL grouping of transformations.
  • Discuss and use the Apply Lookup Standardization transformation.
  • Apply and use the Standardize with Definition transformation.
  • Discuss and use the Loop transformations.
  • Discuss and use the Extract and Summary Statistics transformation.
  • Discuss and use the Compare Tables transformation.
  • Explain the functionality of the Data Validation transformation.
  • Investigate where status handling is available.

Working with Tables and the Table Loader Transformation

  • Discuss various load styles provided by the Table Loader transformation.
  • Discuss the Bulk Table Loader transformation.
  • Discuss Table Loader options for keys and indexes.
  • Discuss and use the components of the Join's Designer Window related to in-database processing.
  • Discuss reasons to use the Table Loader transformation.
  • Discuss various types of keys and how to define in SAS Data Integration Studio.
  • Discuss indexes and how to define in SAS Data Integration Studio.

Working with Slowly Changing Dimensions

  • Discuss the Lookup transformation.
  • Define business keys.
  • List the functions of the SCD Type 2 transformation.
  • Detect and track changes.
  • Discuss the SCD Type 1 Loader.

Defining Generated Transformations

  • Create a custom transformation
  • Define SAS code transformation templates.

Deploying Jobs

  • Describe deployment of SAS Data Integration Studio jobs as a SAS Stored Process.
  • Discuss the Schedule Manager in SAS Management Console.
  • Discuss batch servers.
  • Provide an overview of the scheduling process.
  • Discuss the types of scheduling servers.
  • Discuss the types of job deployment available for SAS Data Integration Studio Jobs.

In Database Processing

  • Define and discuss ELT methods
  • Use a DBMS function in a SAS DI job
  • Enable in-database processing
  • Define in-database processing

Reference: https://www.sas.com/en_us/certification/credentials/data-management/data-integration-developer.html

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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.

SASInstitute A00-260 Exam Syllabus Topics:

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

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