SASInstitute A00-260 - SAS Data Integration Development

SASInstitute A00-260 Actual PDF
  • Exam Code: A00-260
  • Exam Name: SAS Data Integration Development
  • Updated: Sep 18, 2026
  • Q & A: 70 Questions and Answers
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SASInstitute A00-260 Exam Overview:

Certification Vendor:SAS Institute
Exam Name:SAS Data Integration Development for SAS 9
Exam Number:A00-260
Related Certifications:SAS Certified Base Programmer for SAS 9
Certificate Validity Period:5 years
Exam Format:Multiple choice
Available Languages:English
Exam Duration:110 minutes
Exam Price:$180 USD
Recommended Training:SAS Training Courses
Exam Registration:SAS Certification Registration
Sample Questions:Free Download A00-260 Test PDF
Exam Way:Online proctored or test center-based exam delivery
Pre Condition:Recommended knowledge of SAS programming and data management fundamentals (SAS Base Programming certification or equivalent experience).
Official Syllabus URL:https://www.sas.com/en_us/certification.html

SASInstitute A00-260 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Quality and Data Management- Data cleansing techniques
- Data validation and standardization
Topic 2: Building and Managing Jobs- Creating and scheduling ETL jobs
- Transformations and job components
Topic 3: Data Integration Fundamentals- ETL processes and data flows
- Metadata concepts and management
- SAS Data Integration Studio overview
Topic 4: Performance and Troubleshooting- Optimizing ETL processes
- Error handling and debugging jobs

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The SASInstitute SAS Data Integration Development blueprint covers these principal domains:

  • Building and Managing Jobs
  • Data Integration Fundamentals
  • Data Quality and Data Management

The remaining domains appear in the full official outline, all of which our bank addresses.

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SASInstitute lists the following prerequisites for the SASInstitute SAS Data Integration Development: Recommended knowledge of SAS programming and data management fundamentals (SAS Base Programming certification or equivalent experience)..

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SASInstitute SAS Data Integration Development Sample Questions:

Question #1

In order to use the SAS Data Integration Studio's Apply Lookup Standardization transformation, Data Quality options must be setup. Select the valid Scheme Repository Types. (Choose two.)

  • A. A comma delimited flat file that contains the field names in the first row.
  • B. A SAS table scheme that is generated by SAS.
  • C. A third party RDBMS table that has been generated by the SAS system.
  • D. Power scheme that is generated by Data Flux.
Reveal Solution  Discussion  0

Correct Answer: A,B  🗳️

Question #2

Consider the job flow diagram in the display. Assume the inner job has a parameter defined specifying a table name. Which statement is FALSE?

  • A. The Control Table column is mapped to the parameter defined for the Inner Job using the Loop transformation properties window.
  • B. The Inner Job can be successfully executed by itself, but only if the defined parameter has been assigned a valid default value.
  • C. The Inner Job cannot be successfully executed by itself unless it is disassociated from the loop job.
  • D. If the server that executes the job has multiple CPUs, parallel processing can be enabled in the Loop transformation properties window.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #3

Which of the following is NOT defined as part of the New Library Wizard?

  • A. the type of library
  • B. the location of the library
  • C. the metadata name for the library
  • D. the metadata for the library tables
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #4

When using the Table Loader transformation in SAS Data Integration Studio to update an existing table containing indexes or constraints, which statement is true?

  • A. You can control the removal and/or creation of indexes and constraints in the target table only if you are using a Load style other than Replace.
  • B. You can control the removal and/or creation of indexes and constraints in the target table for all Load Styles.
  • C. For the Update/Insert load style it is possible to remove indexes not required for the Update/Insert processing, but no indexes can be added.
  • D. If using the Append to Existing load style, indexes and constraints can be added but not removed.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #5

Select the valid reasons for using SAS Data Integration Studio's Table Loader transformation. (Choose two.)

  • A. Maintain access privileges to permanent tables.
  • B. Apply and maintain constraints on permanent tables.
  • C. Create and replace permanent tables.
  • D. Delete and remove permanent tables.
Reveal Solution  Discussion  0

Correct Answer: B,D  🗳️

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