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Updated: Aug 29, 2026
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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:
- Provide an explanation on how to use the Informatica ribbon in Excel
- Explain Dependency conflict resolution and how it is handled
- Perform and interpret column, rule, comparative and mid-stream profiling
- Explain the Web service capabilities required for DQ for Excel
- Differentiate between the various parsing techniques available
- Apply, configure and troubleshoot data standardization transformations
- Describe how to Export a Project
- Define the techniques for creating mappings for DQ for Excel
- Define the difference between the Basic and Advanced Import options available
- Be aware of where data standardization fits in the DQ process
- Recognize how reference tables are used in the standardization process
- Describe the requirements for integration for Excel
How to study the Data Quality 10 Developer, Professional Certification
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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
- Click Enroll and log in to your Informatica account
- Click Add to Cart and complete your registration/purchase
- Once you have registered go to My Training and View Your Transcript
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 |
| Available Languages: | English, Korean, Japanese |
| Passing Score: | 70% |
| Exam Format: | Multiple Choice, Multiple Response, True/False, Drag and Drop |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 90 minutes |
| Exam Price: | $200-$250 USD (varies by region) |
| Related Certifications: | Informatica Data Quality 10: Administrator Specialist Informatica PowerCenter 10.x Developer Specialist |
| Recommended Training: | Informatica Data Quality: Data Quality Management for Developers Informatica Data Quality: Advanced Techniques |
| 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 |
Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Mapping Development and Execution | 12% | - Debugging and performance tuning - Parameters, variables, and workflow integration - Building and testing IDQ mappings |
| Topic 2: Data Quality Concepts and Architecture | 15% | - Core data quality principles - Integration with PowerCenter and Analyst tool - Informatica Data Quality (IDQ) architecture and components |
| Topic 3: Data Profiling | 20% | - Pattern discovery and data domain identification - Analyzing profile results and quality metrics - Column and rule-based profiling |
| Topic 4: Customization and Advanced Features | 8% | - Custom transformations and rules - DQ for Excel and other extensions |
| Topic 5: Matching and Consolidation | 25% | - Comparison and Match transformations - Survivorship and consolidation rules - Grouping and match strategies - Duplicate resolution and golden record creation |
| Topic 6: Standardization and Cleansing | 20% | - Address validation and cleansing - Parser, Standardizer, and Case Converter transformations - Reference tables and dictionary management |
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