SASInstitute SAS Data Integration Development : A00-260

  • Exam Code: A00-260
  • Exam Name: SAS Data Integration Development
  • Updated: Aug 28, 2026
  • Q & A: 70 Questions and Answers

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About SASInstitute SAS Data Integration Development : A00-260 Exam

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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.

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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

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

Creating Metadata for Source and Target Data

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

Creating Metadata for Target Data and Jobs

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

Working with Transformations

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

Working with Tables and the Table Loader Transformation

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

Working with Slowly Changing Dimensions

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

Defining Generated Transformations

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

Deploying Jobs

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

In Database Processing

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

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

SASInstitute A00-260 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Creating Metadata for Source and Target Data19-20%- Metadata management and wizards
- Registering tables and libraries
- Importing and exporting metadata
Topic 2: Working with Tables and Table Loader Transformation17-18%- Table creation and management
- Performance and load optimization
- Table Loader configuration and execution
Topic 3: Overview5-6%- SAS Data Integration Studio environment and administration
- SAS Business Analytics platform architecture
Topic 4: Creating Metadata for Target Data and Jobs17-18%- New Table wizard and table metadata
- Impact and reverse impact analysis
- Mapping, propagation and job metadata
Topic 5: Working with Slowly Changing Dimensions6-7%- Change detection and tracking
- SCD types and implementation
Topic 6: Working with Transformations21-22%- Lookup, validation and standardization
- SQL and loop transformations
- Data manipulation transformations
Topic 7: Generated Transformations and Job Deployment5-6%- Job deployment and scheduling
- Stored processes and change management
- Generated transformation functionality
Topic 8: In-Database Processing5-6%- Enabling and using in-database processing
- DBMS function integration
- ELT vs ETL concepts

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