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Exam Code: A00-262
Exam Name: SAS Data Quality using DataFlux Data Management Studio
Exam Q&As: 80 Q&As
Last update: May 21, 2024

Product Description

Introduce SAS Institute A00-262 Exam

The SAS Certified Data Quality Steward for SAS 9 certification is a great SAS certified credential, which is designed for individuals who are using DataFlux Data Management Studio to perform a variety of data quality tasks, including profiling data, cleansing data, and monitoring data for usability. It indicates the ability to:

  1. Create and review data explorations and data profiles.
  2. Create data jobs for data improvement.
  3. Parameterize jobs and business rules within DataFlux Data Management Studio.
  4. Create, maintain and apply business rules and tasks.
  5. Understand the QKB components and various definition types.
  6. Apply QKB components to address data quality issues.
  7. Expand basic functionalities using Expression Engine Language (EEL).
  8. Use macro variables.
  9. Create process jobs.
  10. Configure the DataFlux Data Management Server to run jobs.

To gain this certification, a passing score is needed on the A00-262 exam, which has 75 multiple-choice and short-answer questions and takes 110 minutes to complete. Candidates must achieve a score of 68% correct to pass.

Learning A00-262 Exam Objectives Is Strongly Recommended

  • Navigate within the Data Management Studio Interface
  • Create and explore a data profile
  • Design data standardization schemes
  • Create Data Jobs
  • Apply a Standardization definition and scheme
  • Apply Parsing definitions
  • Apply Casing definitions
  • Compare and contrast the differences between identification analysis and right fielding nodes
  • Apply the Gender Analysis node to determine gender
  • Create an Entity Resolution Job
  • Use data job references within a data job
  • Understand how to use an Extraction definition
  • Explain the process of the definition of pattern analysis
  • Define and create business rules
  • Create new tasks
  • Interact with the Data Management Server
  • Explain the basic structure of EEL (components and syntax)
  • Work with and create process jobs
  • Work with and use macro variables in data profiles, data jobs and data monitoring
  • Determine uses for advanced properties
  • Describe the organization, structure and basic navigation of the QKB
  • Be able to articulate when to use the various components of the QKB
  • Define the processing steps and components used in the different definition types.

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