Data Quality 10: Developer Specialist Exam: Data-Quality-10-Developer-Specialist Exam
"Data Quality 10: Developer Specialist Exam", also known as Data-Quality-10-Developer-Specialist exam, is a Informatica Certification. With the complete collection of questions and answers, iPassleader has assembled to take you through 70 Q&As to your Data-Quality-10-Developer-Specialist Exam preparation. In the Data-Quality-10-Developer-Specialist exam resources, you will cover every field and category in Informatica Data Quality Certification helping to ready you for your successful Informatica Certification.
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- Updated on: Aug 23, 2026
- No. of Questions: 70 Questions & Answers
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- Updated on: Aug 23, 2026
- No. of Questions: 70 Questions & Answers
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What is the duration, language, and format of Data Quality 10 Developer, Professional Certification
- Language of Exam: English, Japanese, Korean
- Number of questions: 70
- Passing grade: 70%
- Type of Questions: Multiple choice (MCQs), multiple answers
- No negative marking for wrong answers
- Duration of Exam: 90 minutes
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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
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- Click Enroll and log in to your Informatica account
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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:
- Configure Identity Matching option for the match transformation
- Interpret the AV outputs generated
- Describe the process of exporting mappings with parameters built in
- Verify the importance of Address Validation
- Differentiate between the matching algorithms available and explain how matching scores are
- Identify which Transformations can use parameters
- Develop and build match plans to identify duplicate or related data
- Configure the Address Validation transformation including explaining each mode that is available and what custom templates can be used for
- Explain populations, the identity match strategies that are available and how they are used in Identity Matching
- 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
- Explain what parameters are and why they are used including what parameter functions are supported
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Quality Concepts and Architecture | 15% | - Core data quality principles - Informatica Data Quality (IDQ) architecture and components - Integration with PowerCenter and Analyst tool |
| Topic 2: Matching and Consolidation | 25% | - Duplicate resolution and golden record creation - Survivorship and consolidation rules - Grouping and match strategies - Comparison and Match transformations |
| Topic 3: Data Profiling | 20% | - Analyzing profile results and quality metrics - Pattern discovery and data domain identification - Column and rule-based profiling |
| Topic 4: Customization and Advanced Features | 8% | - DQ for Excel and other extensions - Custom transformations and rules |
| Topic 5: Standardization and Cleansing | 20% | - Reference tables and dictionary management - Address validation and cleansing - Parser, Standardizer, and Case Converter transformations |
| Topic 6: Mapping Development and Execution | 12% | - Debugging and performance tuning - Building and testing IDQ mappings - Parameters, variables, and workflow integration |
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