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: Sep 05, 2026

Q & A: 70 Questions and Answers

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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 Prep4cram exam dumps to increase retention and improve preparation.

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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
  • Verify the importance of Address Validation
  • Identify which Transformations can use parameters
  • Configure Identity Matching option for the match transformation
  • Develop and build match plans to identify duplicate or related data
  • Describe the process of exporting mappings with parameters built in
  • 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
  • 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

The benefit of obtaining the Data Quality 10 Developer, Professional Certification Certification

  • Reduce costs for the business
  • Reduce risks by identifying, resolving, and preventing costly data problems
  • Enhance IT productivity and business self-sufficiency with powerful business-IT collaboration tools
  • Achieve better business outcomes and maximize the return on data

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

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

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