SASInstitute A00-260 Q&A - in .pdf

  • A00-260 pdf
  • Exam Code: A00-260
  • Exam Name: SAS Data Integration Development
  • Updated: Aug 04, 2026
  • Q & A: 70 Questions and Answers
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  • Q & A: 70 Questions and Answers
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  • A00-260 Testing Engine
  • Exam Code: A00-260
  • Exam Name: SAS Data Integration Development
  • Updated: Aug 04, 2026
  • Q & A: 70 Questions and Answers
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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
  • Language: English
  • Passing score: 70%
  • Length of Examination: 110 minutes

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

Creating Metadata for Source and Target Data

  • Describe the New Library Wizard.
  • 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.
  • Import and Export Metadata.

Creating Metadata for Target Data and Jobs

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

Working with Transformations

  • Explain the functionality of the Data Validation transformation.
  • Discuss and use the Loop 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.
  • Discuss and use the Extract and Summary Statistics transformation.
  • Investigate where status handling is available.
  • Discuss and use the Compare Tables transformation.
  • Apply and use the Standardize with Definition transformation.

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 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.
  • Discuss various types of keys and how to define in SAS Data Integration Studio.
  • Discuss the Bulk Table Loader transformation.
  • Discuss reasons to use the Table Loader transformation.

Working with Slowly Changing Dimensions

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

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

In Database Processing

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

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

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: Job Scheduling and Automation- Monitoring and troubleshooting job execution
- Scheduling ETL jobs
Topic 4: Data Quality and Management- Data cleansing and validation
- Handling data inconsistencies and errors
Topic 5: Data Transformation and Processing- Data extraction, transformation, and loading (ETL)
- Using transformations and process flows
Topic 6: Performance and Administration- Performance tuning of ETL processes
- Security and access control in SAS environments
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