Data-Quality-10-Developer-Specialist Q&A - in .pdf

  • Data-Quality-10-Developer-Specialist pdf
  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Aug 18, 2026
  • Q & A: 70 Questions and Answers
  • Convenient, easy to study.
    Printable Informatica Data-Quality-10-Developer-Specialist PDF Format. It is an electronic file format regardless of the operating system platform.
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  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
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  • Updated: Aug 18, 2026
  • Q & A: 70 Questions and Answers
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Data-Quality-10-Developer-Specialist Q&A - Testing Engine

  • Data-Quality-10-Developer-Specialist Testing Engine
  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Aug 18, 2026
  • Q & A: 70 Questions and Answers
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Who should take the Data Quality 10 Developer, Professional Certification

People who are familiar with:

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

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
  • Mainframe Developers and Architects
  • Business Analysts
  • Analytics Professionals
  • Data Explorers
  • Business Developers

Topics of Data Quality 10 Developer, Professional Certification

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

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

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What is the duration, language, and format of Data Quality 10 Developer, Professional Certification

  • Number of questions: 70
  • Passing grade: 70%
  • Language of Exam: English, Japanese, Korean
  • No negative marking for wrong answers
  • Duration of Exam: 90 minutes
  • Type of Questions: Multiple choice (MCQs), multiple answers

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

SectionWeightObjectives
Topic 1: Address Validation5%- Address Validation Transformation
  • 1. Output interpretation
    • 2. Validation modes and configuration
      Topic 2: Analyst Collaboration10%- Analyst Tool Usage
      • 1. Collaboration between Analyst and Developer
        • 2. Scorecards, profiling, filters, tags
          Topic 3: Object Import and Export5%- Metadata Management
          • 1. Import/export of mappings and objects
            Topic 4: Matching10%- Match Logic
            • 1. Match rules and strategies
              • 2. Identity matching concepts
                Topic 5: Data Profiling15%- Profiling Methods
                • 1. Comparative profiling
                  • 2. Column profiling
                    • 3. Rule-based profiling
                      Topic 6: Consolidation and Data Quality Applications (DQA)10%- Data Consolidation
                      • 1. Duplicate record handling
                        • 2. Master record creation
                          Topic 7: Content10%- Prebuilt Content Usage
                          • 1. Accelerators and reference data
                            Topic 8: Standardization and Mapplets10%- Data Standardization
                            • 1. Standardizer transformation usage
                              • 2. Reference tables in standardization
                                • 3. Parsing techniques
                                  Topic 9: Parameters5%- Runtime Configuration
                                  • 1. Parameter files and runtime variables
                                    Topic 10: DQ for Excel5%- Excel-based Data Quality
                                    • 1. Web service integration with Excel
                                      Topic 11: Integration with PowerCenter5%- Execution and Deployment
                                      • 1. Running mappings in PowerCenter
                                        • 2. Integration workflows
                                          Topic 12: Informatica Platform Overview10%- Architecture and Components
                                          • 1. Informatica Data Quality architecture concepts
                                            • 2. Repository and services setup

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