Data-Quality-10-Developer-Specialist Training Materials & Data-Quality-10-Developer-Specialist Certification Training & Data-Quality-10-Developer-Specialist Exam Questions

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 17, 2026

Q & A: 70 Questions and Answers

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Total Price: $59.99  

About Informatica Data-Quality-10-Developer-Specialist exam dumps materials

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Who should take the Data Quality 10 Developer, Professional Certification

People who are familiar with:

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

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:

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

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Topics of Data Quality 10 Developer, Professional Certification

INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps pdf will include the following topics:

  • Analyst Collaboration
  • Matching
  • Profiling
  • Object Import and Export
  • Integration with PowerCenter
  • Informatica Overview
  • Address Validation
  • Consolidation and the DQA
  • Standardization/Mapplets
  • Content
  • Parameters
  • DQ for Excel

How much Data Quality 10 Developer, Professional Certification Cost

The cost of the Data Quality 10 Developer, Professional Certification is $200. For more information related to exam price, please visit the official website Google Website as the cost of exams may be subjected to vary county-wise.

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:

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

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

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

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