Exam Name: Data Quality 10: Developer Specialist Exam
Certification Provider: Informatica
Corresponding Certification: Informatica Data Quality
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Mapping Development and Execution | 12% | - Debugging and performance tuning - Building and testing IDQ mappings - Parameters, variables, and workflow integration |
| Customization and Advanced Features | 8% | - Custom transformations and rules - DQ for Excel and other extensions |
| Matching and Consolidation | 25% | - Comparison and Match transformations - Grouping and match strategies - Survivorship and consolidation rules - Duplicate resolution and golden record creation |
| Standardization and Cleansing | 20% | - Parser, Standardizer, and Case Converter transformations - Reference tables and dictionary management - Address validation and cleansing |
| Data Profiling | 20% | - Analyzing profile results and quality metrics - Column and rule-based profiling - Pattern discovery and data domain identification |
| Data Quality Concepts and Architecture | 15% | - Integration with PowerCenter and Analyst tool - Core data quality principles - Informatica Data Quality (IDQ) architecture and components |
Informatica Data Quality 10: Developer Specialist Exam FAQ — Worry-Free Answers
The Informatica Data Quality 10: Developer Specialist is Informatica's certification exam for Informatica Data Quality 10: Developer Specialist, at the Specialist level. It's demanding enough to intimidate — timed practice is the cure. Related credentials include Informatica Data Quality 10: Administrator Specialist, Informatica PowerCenter 10.x Developer Specialist.
Yes:
- Informatica Data Quality: Data Quality Management for Developers
- Informatica Data Quality: Advanced Techniques
After any course, build confidence with the 70 practice questions for the Informatica Data Quality 10: Developer Specialist — every answer expert-verified.
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The Informatica Data Quality 10: Developer Specialist blueprint spans 6 domains — including Mapping Development and Execution (12%), Matching and Consolidation (25%), Data Profiling (20%). The complete outline above lists every subtopic; our IT staff keep the material aligned daily.
No mandatory prerequisites; recommended: basic knowledge of data quality concepts, familiarity with Informatica PowerCenter, 6-12 months hands-on experience with IDQ 10 Eligibility rules change over time, so verify the current requirements on the official page (official Data-Quality-10-Developer-Specialist exam page) before registering.
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Informatica Data Quality 10: Developer Specialist Sample Questions:
How is Accelerator content installed?
Options are :
- A. It is imported through Developer.
- B. It is installed using the importer available in the Content Management service
- C. The file extracted onto the server and it is automatically picked up after restarting the services
- D. Using the IDQ content installer.
Correct Answer: C 🗳️
When is sampling for Profiling a good idea? Select the best answer.
- A. When the client provides assurances the quality of the data is good.
- B. When the data set contains sensitive information like credit card numbers.
- C. When the volume of data is large and there are storage and/or time constraints.
- D. When the probability of data quality issues is small.
Correct Answer: C 🗳️
Users would export DQ mappings to PowerCenter for which of the following reasons? (Choose 4 answers)
- A. DQ as part of ETL process
- B. Scalability
- C. Performance
- D. Batch access
Correct Answer: A,B,C,D 🗳️
Explanation: Only visible for PremiumVCEDump members. You can sign-up / login (it's free).
Which are correct statements for IDQ grouping and matching? (Choose 2 answers)
- A. IDQ field level matching does not utilize grouping
- B. When field level matching is performed, the records within each group will be compared against each other
- C. When field level matching is performed, matching will be performed across multiple groups in a single match transformation.
- D. When field level matching is performed, matching will not be performed across groups, therefore it is imperative grouping is performed on a complete and accurate field(s)
Correct Answer: A,D 🗳️
What transformation would you use to standardize data using a reference table?
- A. Decision
- B. Standardizer
- C. Parser
- D. Labeler
Correct Answer: B 🗳️
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