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Instant Download Informatica : Data-Quality-10-Developer-Specialist Questions & Answers as PDF & Test Engine

Data-Quality-10-Developer-Specialist
  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Sep 03, 2026
  • No. of Questions: 70 Questions and Answers
  • Download Limit: Unlimited
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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:

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

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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:

  • Remove duplicates using DQA
  • 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
  • Provide information on the Data Quality process and dimensions of data quality
  • Explain Automatic and Manual consolidation techniques and configure the Transformations used for automatic consolidation
  • Describe the benefits of project collaboration to a team
  • Troubleshoot any problems that may occur
  • Generate a survivor record in the 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
  • Describe the Informatica 10 architecture and set up including the repositories required for installation

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

SectionWeightObjectives
Data Quality Concepts and Architecture15%- Core data quality principles
- Integration with PowerCenter and Analyst tool
- Informatica Data Quality (IDQ) architecture and components
Standardization and Cleansing20%- Parser, Standardizer, and Case Converter transformations
- Reference tables and dictionary management
- Address validation and cleansing
Mapping Development and Execution12%- Debugging and performance tuning
- Parameters, variables, and workflow integration
- Building and testing IDQ mappings
Data Profiling20%- Pattern discovery and data domain identification
- Column and rule-based profiling
- Analyzing profile results and quality metrics
Customization and Advanced Features8%- Custom transformations and rules
- DQ for Excel and other extensions
Matching and Consolidation25%- Duplicate resolution and golden record creation
- Grouping and match strategies
- Comparison and Match transformations
- Survivorship and consolidation rules

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