Prepare with Informatica Data-Quality-10-Developer-Specialist exam practice material, pass for sure

Updated: Oct 17, 2026

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How to book the Data Quality 10 Developer, Professional Certification

To apply for the Data Quality 10 Developer, Professional Certification , You have to follow these steps:

  • Now you can simply Launch and take your test Anytime/Anywhere prior to your test's expiry date
  • Once you have registered go to My Training and View Your Transcript
  • Click Enroll and log in to your Informatica account
  • Click Add to Cart and complete your registration/purchase

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:

  • Remove duplicates using DQA
  • Provide information on the Data Quality process and dimensions of data quality
  • Generate a survivor record in the DQA
  • Use and describe the functionality of the Analyst Tool including Scorecarding, Reference Table Management, Tags, Filters, Profiles and Comments
  • Explain how to integrate IDQ mappings and mapplets into PowerCenter Workflows including how content is handled
  • Troubleshoot any problems that may occur
  • Explain Automatic and Manual consolidation techniques and configure the Transformations used for automatic consolidation
  • Describe the benefits of project collaboration to a team
  • Describe the Informatica 10 architecture and set up including the repositories required for installation
  • Use the Exception Transformation to generate and populate the Bad Records and Duplicate Records tables
  • Describe how Analysts and Developers can collaborate on projects

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 an explanation on how to use the Informatica ribbon in Excel
  • Differentiate between the various parsing techniques available
  • Describe how to Export a Project
  • Perform and interpret column, rule, comparative and mid-stream profiling
  • Recognize how reference tables are used in the standardization process
  • Apply, configure and troubleshoot data standardization transformations
  • Explain Dependency conflict resolution and how it is handled
  • Explain the Web service capabilities required for DQ for Excel
  • Describe the requirements for integration for Excel
  • Define the difference between the Basic and Advanced Import options available
  • Define the techniques for creating mappings for DQ for Excel
  • Be aware of where data standardization fits in the DQ process

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:

  • Configure Identity Matching option for the match transformation
  • Interpret the AV outputs generated
  • Develop and build match plans to identify duplicate or related data
  • Identify which Transformations can use parameters
  • Describe the process of exporting mappings with parameters built in
  • Verify the importance of Address Validation
  • 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
  • Explain what parameters are and why they are used including what parameter functions are supported
  • 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

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

Certification Vendor:Informatica
Exam Name:Informatica Data Quality 10: Developer Specialist Exam
Exam Number:DQ10:03S (commonly referenced) / Data-Quality-10-Developer-Specialist
Real Exam Qty:70
Exam Format:Multiple Response, True/False, Multiple Choice
Passing Score:70%
Related Certifications:Informatica Data Quality 10 Administrator Professional
Informatica Data Quality 10 Developer Professional
Available Languages:Korean, English, Japanese
Exam Duration:90 minutes
Certificate Validity Period:Not explicitly fixed / typically does not expire as per Informatica certification policy
Exam Price:Varies by region (typically around USD 100–150)
Recommended Training:Informatica Analyst Training
Data Quality: Advanced Techniques
Data Quality: Data Quality Management for Developers
Exam Registration:Informatica Certification Portal
Sample Questions:Informatica Data-Quality-10-Developer-Specialist Sample Questions
Exam Way:Online proctored exam (scheduled via Informatica certification portal)
Pre Condition:Recommended: experience with Informatica Data Quality Developer tool and completion of Informatica Data Quality training courses
Official Syllabus URL:https://now.informatica.com/

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

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

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