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Instant Download Informatica : Data-Quality-10-Developer-Specialist Questions & Answers as PDF & Test Engine
- 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:
| Section | Weight | Objectives |
|---|---|---|
| Data Quality Concepts and Architecture | 15% | - Core data quality principles - Integration with PowerCenter and Analyst tool - Informatica Data Quality (IDQ) architecture and components |
| Standardization and Cleansing | 20% | - Parser, Standardizer, and Case Converter transformations - Reference tables and dictionary management - Address validation and cleansing |
| Mapping Development and Execution | 12% | - Debugging and performance tuning - Parameters, variables, and workflow integration - Building and testing IDQ mappings |
| Data Profiling | 20% | - Pattern discovery and data domain identification - Column and rule-based profiling - Analyzing profile results and quality metrics |
| Customization and Advanced Features | 8% | - Custom transformations and rules - DQ for Excel and other extensions |
| Matching and Consolidation | 25% | - Duplicate resolution and golden record creation - Grouping and match strategies - Comparison and Match transformations - Survivorship and consolidation rules |
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