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SAS Institute Data Quality Steward A00-262

Product Description

Exam Code:A00-262

Exam Name:SAS Data Quality using DataFlux Data Management Studio

Q&A:80 Q&As

Updated: 05-04-2024

Number:

ExamGood A00-262 certification training exam material including the examination question and the answer, complete by our senior IT lecturers and the Data Quality Steward product experts, included the current newest A00-262 examination questions.

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ExamGood A00-262 Exam Features

A00-262: SAS Data Quality using DataFlux Data Management Studio

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

Successful candidates should be able to:

Create and review data explorations and data profiles.

Create data jobs for data improvement.

Parameterize jobs and business rules within DataFlux Data Management Studio.

Create, maintain and apply business rules and tasks.

Understand the QKB components and various definition types.

Apply QKB components to address data quality issues.

Expand basic functionalities using Expression Engine Language (EEL).

Use macro variables.

Create process jobs.

Configure the DataFlux Data Management Server to run jobs.

Exam Content & Pricing

Candidates who earn this credential will have earned a passing score on the SAS Data Quality Using DataFlux Data Management Studio exam.

This exam is administered by SAS and Pearson VUE.

75 multiple-choice and short-answer questions (must achieve score of 68 percent correct to pass).

110 minutes to complete exam.

Use exam ID A00-262; required when registering with Pearson VUE.

This exam is based on SAS 9.4.

SAS® Data Management - centralized console screenshot on monitor

Exam fee: $180 USD in the U.S.

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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