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

Pass Data-Quality-10-Developer-Specialist Exam Cram

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

Exam Name: Data Quality 10: Developer Specialist Exam

Updated: Jul 30, 2026

Q & A: 70 Questions and Answers

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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:

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

  • Matching
  • Parameters
  • Standardization/Mapplets
  • Analyst Collaboration
  • DQ for Excel
  • Content
  • Address Validation
  • Profiling
  • Object Import and Export
  • Consolidation and the DQA
  • Integration with PowerCenter
  • Informatica Overview
Who should take the Data Quality 10 Developer, Professional Certification

People who are familiar with:

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

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:

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