SASInstitute A00-260 : SAS Data Integration Development

A00-260 real exams

Exam Code: A00-260

Exam Name: SAS Data Integration Development

Updated: Jun 03, 2026

Q & A: 70 Questions and Answers

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About SASInstitute A00-260 Exam

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

Format: Multiple choices, multiple answers

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

SASInstitute A00-260 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Discuss and use transformations in the SQL grouping of transformations
  • Use Register Tables wizard to register source data
Topic 2
  • Discuss the types of job deployment available for SAS Data Integration Studio Jobs
  • Creating Metadata for Target Data and Jobs
Topic 3
  • Define Impact and Reverse Impact Analysis
  • Generate reports on metadata for tables and jobs
Topic 4
  • Discuss components of Join's Designer window
  • Describe the available interfaces
Topic 5
  • Define administrative tasks to be performed for SAS Data Integration Studio
  • Define the architecture of the platform for SAS Business Analytics
Topic 6
  • Discuss and use the Apply Lookup Standardization transformation
  • Discuss the DataFlux Data Management Server

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

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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

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

Creating Metadata for Source and Target Data

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

Creating Metadata for Target Data and Jobs

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

Working with Transformations

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

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 Table Loader options for keys and indexes.
  • Discuss various load styles provided by the Table Loader transformation.
  • Discuss reasons to use the Table Loader transformation.
  • Discuss indexes and how to define in SAS Data Integration Studio.
  • Discuss the Bulk Table Loader transformation.
  • Discuss various types of keys and how to define in SAS Data Integration Studio.

Working with Slowly Changing Dimensions

  • List the functions of the SCD Type 2 transformation.
  • Define business keys.
  • Discuss the Lookup 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

  • Discuss the types of job deployment available for SAS Data Integration Studio Jobs.
  • Discuss the types of scheduling servers.
  • 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.

In Database Processing

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

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.

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