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: Sep 06, 2026   Q&As: 70 Questions and Answers

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What is the duration, language, and format of Data Quality 10 Developer, Professional Certification
  • Number of questions: 70
  • Language of Exam: English, Japanese, Korean
  • Type of Questions: Multiple choice (MCQs), multiple answers
  • No negative marking for wrong answers
  • Passing grade: 70%
  • Duration of Exam: 90 minutes
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:

  • Use the Exception Transformation to generate and populate the Bad Records and Duplicate Records tables
  • Troubleshoot any problems that may occur
  • Use and describe the functionality of the Analyst Tool including Scorecarding, Reference Table Management, Tags, Filters, Profiles and Comments
  • Explain how to integrate IDQ mappings and mapplets into PowerCenter Workflows including how content is handled
  • Describe how Analysts and Developers can collaborate on projects
  • Generate a survivor record in the DQA
  • Explain Automatic and Manual consolidation techniques and configure the Transformations used for automatic consolidation
  • Describe the Informatica 10 architecture and set up including the repositories required for installation
  • Remove duplicates using DQA
  • Provide information on the Data Quality process and dimensions of data quality
  • Describe the benefits of project collaboration to a team

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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:

  • Describe how to Export a Project
  • Explain the Web service capabilities required for DQ for Excel
  • Describe the requirements for integration for Excel
  • Be aware of where data standardization fits in the DQ process
  • Differentiate between the various parsing techniques available
  • Apply, configure and troubleshoot data standardization transformations
  • Provide an explanation on how to use the Informatica ribbon in Excel
  • Define the techniques for creating mappings for DQ for Excel
  • Perform and interpret column, rule, comparative and mid-stream profiling
  • Recognize how reference tables are used in the standardization process
  • Define the difference between the Basic and Advanced Import options available
  • Explain Dependency conflict resolution and how it is handled
Who should take the Data Quality 10 Developer, Professional Certification

People who are familiar with:

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

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
  • Analytics Professionals
  • Mainframe Developers and Architects
  • Business Developers
  • Business Analysts
  • Data Explorers
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
SectionWeightObjectives
Data Quality Concepts and Architecture15%- Core data quality principles
- Integration with PowerCenter and Analyst tool
- Informatica Data Quality (IDQ) architecture and components
Mapping Development and Execution12%- Parameters, variables, and workflow integration
- Building and testing IDQ mappings
- Debugging and performance tuning
Data Profiling20%- Pattern discovery and data domain identification
- Analyzing profile results and quality metrics
- Column and rule-based profiling
Matching and Consolidation25%- Survivorship and consolidation rules
- Grouping and match strategies
- Duplicate resolution and golden record creation
- Comparison and Match transformations
Customization and Advanced Features8%- Custom transformations and rules
- DQ for Excel and other extensions
Standardization and Cleansing20%- Reference tables and dictionary management
- Address validation and cleansing
- Parser, Standardizer, and Case Converter transformations

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