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Informatica Data-Quality-10-Developer-Specialist : Data Quality 10: Developer Specialist Exam

Exam Code: Data-Quality-10-Developer-Specialist

Exam Name: Data Quality 10: Developer Specialist Exam

Updated: Aug 20, 2026

Q & A: 70 Questions and Answers

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Data Quality 10 Developer, Professional Certification Path

This is a fundamental exam and gives credential of Data Quality Developer Certified Professional.

How can you stand out from thousands of candidates? How can you make your employer think highly of you? How can you qualify for the promotion? Passing Data-Quality-10-Developer-Specialist test exam will make these dreams come true. As an important test of Informatica, Data-Quality-10-Developer-Specialist test exam become popular among people. The considerable salary and decent work and different kind benefits, the chance of training, all these stuff attract to you. Passing Data-Quality-10-Developer-Specialist braindump actual test is a new start for you. But it is a tough task. You have to sacrifice your rest time to practice the Data-Quality-10-Developer-Specialist test questions and learn Data-Quality-10-Developer-Specialist braindump study materials. And the worst result is that you maybe fail the exam, it will be a great loss of time and money for you. In case this terrible thing happens, TestBraindump will be your best partner to help you pass Data-Quality-10-Developer-Specialist test exam.

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Who should take the Data Quality 10 Developer, Professional Certification

People who are familiar with:

  • Executing mappings in PowerCenter
  • Profiling methods to identify data irregularities and inaccuracies
  • Using Profiles and reference tables to share information with Analysts
  • Performing Address Validation
  • Deploying Data Quality Mappings in an Excel spreadsheet (connect to Web Services)
  • Converting a profile into a mapping
  • Project Collaboration techniques such as Tags and Comments
  • Using mappings and mapplets to cleanse and standardize data
  • Navigation through the Developer Tool
  • Identifying duplicate records
  • Automate and manual consolidation of duplicate records into a master record

Peoplw who want to learn how to run data quality mapping on Excel spread sheets in this module (Power Center Integration, Performing Consolidation, grouping data and DQ Matching Cluster Analysis, GUI, Mappings Mapplets and Reusable AV Transformation.etc) and identify, resolve, and prevent costly data problems can consult INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exam and INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exams.

With a number of opportunities in the field, the following job roles will get benefited from this exam:

  • Mainframe Developers and Architects
  • Data Explorers
  • Analytics Professionals
  • Business Developers
  • Candidates interested in taking up career under Informatica
  • Business Analysts

Understanding functional and technical aspects of Data Quality 10 Developer, Professional Certification

The following will be discussed in INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps:

  • Recognize how reference tables are used in the standardization process
  • Apply, configure and troubleshoot data standardization transformations
  • Perform and interpret column, rule, comparative and mid-stream profiling
  • Describe how to Export a Project
  • Define the difference between the Basic and Advanced Import options available
  • Describe the requirements for integration for Excel
  • Differentiate between the various parsing techniques available
  • Explain Dependency conflict resolution and how it is handled
  • Be aware of where data standardization fits in the DQ process
  • Explain the Web service capabilities required for DQ for Excel
  • Define the techniques for creating mappings for DQ for Excel
  • Provide an explanation on how to use the Informatica ribbon in Excel

Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Informatica Overview10%
Topic 2: Address Validation5%
Topic 3: Standardization/Mapplets10%
Topic 4: Parameters5%
Topic 5: DQ for Excel5%
Topic 6: Analyst Collaboration10%
Topic 7: Object Import and Export5%
Topic 8: Content10%
Topic 9: Matching10%
Topic 10: Profiling15%
Topic 11: Consolidation and the DQA10%
Topic 12: Integration with PowerCenter5%

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