Exam Name: Data Quality 10: Developer Specialist Exam
Certification Provider: Informatica
Corresponding Certification: Informatica Data Quality
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- Total Questions: 70
- Updated on: Oct 17, 2026
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Profiling | 15% | - Profiling Methods
|
| Consolidation and Data Quality Applications (DQA) | 10% | - Data Consolidation
|
| Analyst Collaboration | 10% | - Analyst Tool Usage
|
| Content | 10% | - Prebuilt Content Usage
|
| DQ for Excel | 5% | - Excel-based Data Quality
|
| Address Validation | 5% | - Address Validation Transformation
|
| Matching | 10% | - Match Logic
|
| Standardization and Mapplets | 10% | - Data Standardization
|
| Integration with PowerCenter | 5% | - Execution and Deployment
|
| Object Import and Export | 5% | - Metadata Management
|
| Parameters | 5% | - Runtime Configuration
|
| Informatica Platform Overview | 10% | - Architecture and Components
|
The Data-Quality-10-Developer-Specialist Details Every Candidate Should Check
As of the latest information, the Data-Quality-10-Developer-Specialist exam requires a passing score of 70% and a registration fee of Varies by region (typically around USD 100–150). Informatica may revise either figure, so confirm both on the official site before scheduling.
Informatica lists these prerequisites for the Informatica Data Quality 10: Developer Specialist: Recommended: experience with Informatica Data Quality Developer tool and completion of Informatica Data Quality training courses.
Check the current requirements on the official certification page before booking.
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Per current exam information, the Data-Quality-10-Developer-Specialist exam contains 70 questions within a 90 minutes-minute limit. Practicing under those exact conditions removes the format shock on exam day.
The Informatica Data Quality 10: Developer Specialist blueprint centers on these main domains:
- Integration with PowerCenter (5%)
- Parameters (5%)
- Object Import and Export (5%)
The full official outline continues with further domains; the question bank covers them all.
Informatica points candidates to these official training resources:
- Data Quality: Data Quality Management for Developers
- Data Quality: Advanced Techniques
- Informatica Analyst Training
For office workers short on class time, disciplined spare-time practice with a current bank covers the same syllabus at a fraction of the cost.
Use the official registration channels below:
Pick your test center or online session and book ahead — a fixed date focuses preparation like nothing else.
Informatica Data Quality 10: Developer Specialist Sample Questions:
Should data be standardized before it reaches the Address Validator?
- A. No, any change may cause problems to the AV transformation.
- B. Yes, street and directional abbreviations should always be expanded to their unabbreviated form.
- C. Yes, if after review, specific problems have been identified that are causing address to not validate that otherwise would.
- D. Yes, they should all be upper case.
Correct Answer: B 🗳️
Which transformations can be used in DQ for Excel?
- A. All DQ transformations, including Matching and Consolidation can be used in DQ for Excel.
- B. All DQ and Core Transformations can be used in DQ for Excel, there is no limitation.
- C. Only mappings using non active transformations can be used in DQ for Excel.
- D. Only mappings using a Case Converter and a Standardizer can be used on data in Excel.
Correct Answer: B 🗳️
Which two IDQ transformations can use parameters? Choose 2 answers
Options are :
- A. Comparison
- B. Labeller
- C. Address Validation
- D. Decision
- E. Case converter
Correct Answer: C,D 🗳️
Which DQ Transformations can be used to automatically consolidate matched records?
- A. Key Gen, Association and Consolidation
- B. Match and Association
- C. Consolidation
- D. Key Gen and Consolidation
Correct Answer: B 🗳️
When using field matching which is the best approach if using First Name as a match field?
- A. No standardization of First Name field is necessary
- B. Use the Edit Distance strategy
- C. Never use First Name as it is not necessary
- D. Create Soundex or NYSIIS value for the First Name and use it in match
Correct Answer: D 🗳️
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