Study with Data-Quality-10-Developer-Specialist Actual Test Questions
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Updated: Oct 07, 2026
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Informatica Data-Quality-10-Developer-Specialist Exam Overview:
| Certification Vendor: | Informatica |
|---|---|
| Exam Name: | Informatica Data Quality 10: Developer Specialist Exam |
| Exam Number: | DATA-QUALITY-10-DEVELOPER-SPECIALIST |
| Real Exam Qty: | 60-70 |
| Exam Price: | $200-$250 USD (varies by region) |
| Available Languages: | Japanese, Korean, English |
| Certificate Validity Period: | 2 years |
| Related Certifications: | Informatica PowerCenter 10.x Developer Specialist Informatica Data Quality 10: Administrator Specialist |
| Exam Duration: | 90 minutes |
| Exam Format: | Multiple Choice, Drag and Drop, True/False, Multiple Response |
| Passing Score: | 70% |
| Recommended Training: | Informatica Data Quality: Advanced Techniques Informatica Data Quality: Data Quality Management for Developers |
| Exam Registration: | Informatica Certification Portal Pearson VUE Registration |
| Sample Questions: | Informatica Data-Quality-10-Developer-Specialist Sample Questions |
| Exam Way: | Computer-based testing; Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended: basic knowledge of data quality concepts, familiarity with Informatica PowerCenter, 6-12 months hands-on experience with IDQ 10 |
| Official Syllabus URL: | https://www.informatica.com/services-and-training/certification/data-quality-certification.html |
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
- Verify the importance of Address Validation
- Describe the process of exporting mappings with parameters built in
- Explain what parameters are and why they are used including what parameter functions are supported
- 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 Identity Matching option for the match transformation
- Identify which Transformations can use parameters
- 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
- Interpret the AV outputs generated
- Develop and build match plans to identify duplicate or related data
How to Prepare For Data Quality 10 Developer, Professional Certification
Preparation Guide for Data Quality 10 Developer, Professional Certification
Introduction for Data Quality 10 Developer, Professional Certification
This test measures your competency as a member of a project implementation team. This involves an in-depth knowledge of Data Quality processes such as Profiling, Standardization, Matching, and Consolidation. You must select and configure the appropriate Data Quality transformations and build, debug and execute Data Quality mappings including integrating those mappings into Power Center if needed.
The skills and knowledge areas measured by this test are focused on product core functionality inside the realm of a standard project implementation. Training materials, supporting documentation and practical experience may become sources of question development.
This is recommended for students seeking certification as a Data Quality Developer Certified Professional.
The suggested training prerequisites for this certification level are the completion of the following Informatica course(s):
- Data Quality: Data Quality Management for Developers
- Data Quality: Advanced Techniques
- Informatica Analyst
We prepare INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exams and INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exams to prepare you for all these requirements.
Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Mapping Development and Execution | 12% | - Debugging and performance tuning - Parameters, variables, and workflow integration - Building and testing IDQ mappings |
| 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% | - Address validation and cleansing - Parser, Standardizer, and Case Converter transformations - Reference tables and dictionary management |
| Data Profiling | 20% | - Column and rule-based profiling - Pattern discovery and data domain identification - Analyzing profile results and quality metrics |
| Customization and Advanced Features | 8% | - Custom transformations and rules - DQ for Excel and other extensions |
| Data Quality Concepts and Architecture | 15% | - Core data quality principles - Informatica Data Quality (IDQ) architecture and components - Integration with PowerCenter and Analyst tool |
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