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

Data-Quality-10-Developer-Specialist real exams

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

Exam Name: Data Quality 10: Developer Specialist Exam

Updated: Aug 15, 2026

Q & A: 70 Questions and Answers

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

How to Prepare For Data Quality 10 Developer, Professional Certification

Preparation Guide for Data Quality 10 Developer, Professional Certification

Introduction for Data Quality 10 Developer, Professional Certification

This test measures your competency as a member of a project implementation team. This involves an in-depth knowledge of Data Quality processes such as Profiling, Standardization, Matching, and Consolidation. You must select and configure the appropriate Data Quality transformations and build, debug and execute Data Quality mappings including integrating those mappings into Power Center if needed.

The skills and knowledge areas measured by this test are focused on product core functionality inside the realm of a standard project implementation. Training materials, supporting documentation and practical experience may become sources of question development.

This is recommended for students seeking certification as a Data Quality Developer Certified Professional.

The suggested training prerequisites for this certification level are the completion of the following Informatica course(s):

  • Data Quality: Advanced Techniques
  • Data Quality: Data Quality Management for Developers
  • Informatica Analyst

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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:

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

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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:

  • Explain populations, the identity match strategies that are available and how they are used in Identity Matching
  • Differentiate between the matching algorithms available and explain how matching scores are
  • Explain what Content is, what is contained in the Core Accelerator and why it is used in the Core Accelerator and why it is used
  • Identify which Transformations can use parameters
  • Describe the process of exporting mappings with parameters built in
  • Configure Identity Matching option for the match transformation
  • Develop and build match plans to identify duplicate or related data
  • Interpret the AV outputs generated
  • Explain what parameters are and why they are used including what parameter functions are supported
  • Configure the Address Validation transformation including explaining each mode that is available and what custom templates can be used for
  • Verify the importance of Address Validation

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With the increased digitization of the economy, a humongous amount of semi-structured and unstructured data is emanating from various sources. Due to this unmatched format of data, the need for data integration to process the data becomes a necessity. Informatica is widely known for its data integration abilities across the globe.

Informatica PowerCenter allows migrating, integrating, and governing the enterprise-wide data, and hence it has attracted many aspirants to build careers in this lucrative domain. Merely getting the training does not lead people to success; a certification has become the need of the hour. Before taking up this test, an applicant must make sure that he/she has the skills in Informatica architecture, service maintenance, security, deployment, license keys, repository management, web services, command-line interfaces, metadata reporting, and administrator tool. You can use DumpsReview exam dumps to increase retention and improve preparation.

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

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

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