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 14, 2026   Q&As: 70 Questions and Answers

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

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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 DumpsTests exam dumps to increase retention and improve preparation.

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For more info read reference:

Informatica Website

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.

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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
  • Using Profiles and reference tables to share information with Analysts
  • Project Collaboration techniques such as Tags and Comments
  • Using mappings and mapplets to cleanse and standardize data
  • Executing mappings in PowerCenter
  • Identifying duplicate records
  • Automate and manual consolidation of duplicate records into a master record
  • Deploying Data Quality Mappings in an Excel spreadsheet (connect to Web Services)
  • Converting a profile into a mapping
  • Navigation through the Developer Tool
  • 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
  • Business Analysts
  • Data Explorers
  • Mainframe Developers and Architects
  • Analytics Professionals
  • Business Developers
Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
SectionWeightObjectives
Topic 1: Consolidation and Data Quality Applications (DQA)10%- Data Consolidation
  • 1. Duplicate record handling
    • 2. Master record creation
      Topic 2: Analyst Collaboration10%- Analyst Tool Usage
      • 1. Collaboration between Analyst and Developer
        • 2. Scorecards, profiling, filters, tags
          Topic 3: Data Profiling15%- Profiling Methods
          • 1. Comparative profiling
            • 2. Rule-based profiling
              • 3. Column profiling
                Topic 4: Parameters5%- Runtime Configuration
                • 1. Parameter files and runtime variables
                  Topic 5: Address Validation5%- Address Validation Transformation
                  • 1. Validation modes and configuration
                    • 2. Output interpretation
                      Topic 6: Content10%- Prebuilt Content Usage
                      • 1. Accelerators and reference data
                        Topic 7: DQ for Excel5%- Excel-based Data Quality
                        • 1. Web service integration with Excel
                          Topic 8: Standardization and Mapplets10%- Data Standardization
                          • 1. Parsing techniques
                            • 2. Reference tables in standardization
                              • 3. Standardizer transformation usage
                                Topic 9: Informatica Platform Overview10%- Architecture and Components
                                • 1. Informatica Data Quality architecture concepts
                                  • 2. Repository and services setup
                                    Topic 10: Object Import and Export5%- Metadata Management
                                    • 1. Import/export of mappings and objects
                                      Topic 11: Integration with PowerCenter5%- Execution and Deployment
                                      • 1. Integration workflows
                                        • 2. Running mappings in PowerCenter
                                          Topic 12: Matching10%- Match Logic
                                          • 1. Identity matching concepts
                                            • 2. Match rules and strategies

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