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SAS Data Quality Using DataFlux Data Management Studio

Exam Content Guide

Below we provide a list of the objectives that will be tested on the exam.
For more specific details about each objective download the complete exam content guide.

Navigating the DataFlux Data Management Studio Interface

  • Navigate within the Data Management Studio Interface

Exploring and Profiling data

  • Create and explore a data profile
  • Design data standardization schemes

Data Jobs

  • 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

Business Rules Monitoring

  • Define and create business rules
  • Create new tasks

Data Management Server

  • Interact with the Data Management Server

Expression Engine Language (EEL)

  • Explain the basic structure of EEL (components and syntax)

Process Jobs

  • Work with and create process jobs

Macro Variables and Advanced Properties and Settings

  • Work with and use macro variables in data profiles, data jobs and data monitoring
  • Determine uses for advanced properties

Quality Knowledge Base (QKB)

  • 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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