Last Updated: Sep 04, 2026
No. of Questions: 70 Questions & Answers with Testing Engine
Download Limit: Unlimited
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| Certification Vendor: | Informatica |
|---|---|
| Exam Name: | Informatica Data Quality 10: Developer Specialist Exam |
| Exam Number: | DATA-QUALITY-10-DEVELOPER-SPECIALIST |
| Available Languages: | English, Korean, Japanese |
| Related Certifications: | Informatica Data Quality 10: Administrator Specialist Informatica PowerCenter 10.x Developer Specialist |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple Choice, Multiple Response, Drag and Drop, True/False |
| Exam Duration: | 90 minutes |
| Passing Score: | 70% |
| Real Exam Qty: | 60-70 |
| Exam Price: | $200-$250 USD (varies by region) |
| Recommended Training: | Informatica Data Quality: Data Quality Management for Developers Informatica Data Quality: Advanced Techniques |
| Exam Registration: | Pearson VUE Registration Informatica Certification Portal |
| 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 |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Quality Concepts and Architecture | 15% | - Integration with PowerCenter and Analyst tool - Informatica Data Quality (IDQ) architecture and components - Core data quality principles |
| Topic 2: Customization and Advanced Features | 8% | - DQ for Excel and other extensions - Custom transformations and rules |
| Topic 3: Standardization and Cleansing | 20% | - Parser, Standardizer, and Case Converter transformations - Address validation and cleansing - Reference tables and dictionary management |
| Topic 4: Data Profiling | 20% | - Analyzing profile results and quality metrics - Column and rule-based profiling - Pattern discovery and data domain identification |
| Topic 5: Mapping Development and Execution | 12% | - Building and testing IDQ mappings - Debugging and performance tuning - Parameters, variables, and workflow integration |
| Topic 6: Matching and Consolidation | 25% | - Comparison and Match transformations - Survivorship and consolidation rules - Grouping and match strategies - Duplicate resolution and golden record creation |
The Data-Quality-10-Developer-Specialist exam is the official Informatica exam behind Informatica Data Quality 10: Developer Specialist — passing it earns you the Informatica Data Quality 10: Developer Specialist certification, a credential positioned at the Specialist level. It is built for candidates who want to validate the skills measured by Informatica Data Quality 10: Developer Specialist. Depending on your track, the exam is also linked to the Informatica Data Quality 10: Administrator Specialist and Informatica PowerCenter 10.x Developer Specialist certifications, so one pass can move you toward more than one Informatica credential.
The Data-Quality-10-Developer-Specialist exam presents 60-70 questions to be completed within 90 minutes. That pace leaves little room for second-guessing: read each question carefully on the first pass, flag the ones you want to revisit, and keep moving instead of stalling on a single item. Before exam day, run at least one full timed session in the TestSimulate desktop or online test engine with a comparable question load — a steady rhythm under the clock is a trainable skill, and it is often what separates a pass from a near miss.
To pass the Data-Quality-10-Developer-Specialist exam you need 70%, and the official registration fee is $200-$250 USD (varies by region). Keep in mind that a failed attempt means paying that fee again in full — retakes are not discounted. Given the cost, self-test before you book: if you can score comfortably above the passing mark on two or three consecutive timed TestSimulate practice tests, your budget is far better spent on the exam itself than on a retake.
No mandatory prerequisites; recommended: basic knowledge of data quality concepts, familiarity with Informatica PowerCenter, 6-12 months hands-on experience with IDQ 10 Because Informatica revises its certification programs from time to time, treat this as a starting point rather than the final word. Confirm the current eligibility requirements on the official Informatica exam page before you register.
Registration for the Data-Quality-10-Developer-Specialist exam is handled through the official channels below:
Delivery method: Computer-based testing; Online proctored or onsite at Pearson VUE test centers — pick the option that suits you best when booking your slot.
Informatica points Informatica Data Quality 10: Developer Specialist candidates toward the following official courses:
Official courses build the foundation; pairing them with the 70 Data-Quality-10-Developer-Specialist practice questions from TestSimulate turns that knowledge into exam-day readiness.
Yes. A free PDF demo of the Data-Quality-10-Developer-Specialist practice questions is available, so you can check the question style and answer quality before spending anything. Every purchase also includes 365 days of free updates — whenever Informatica adjusts the Informatica Data Quality 10: Developer Specialist blueprint, your material is refreshed at no cost during that period. After the first year, you can extend the update service at a 50% discount from your member zone.
TestSimulate backs your purchase with a 100% Money Back Guarantee. If you take the corresponding exam within 60 days of purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip together with the official Score Report PDF within 2 days of your exam date; approved claims are processed within 7 days. The guarantee applies only to the exam matching your purchase, the candidate name must match the payer name, and it does not cover attempts taken within 3 days of purchase, candidates who downloaded the material but never sat the exam, expired orders, or free materials. If you would rather keep preparing, you can exchange the product for two free exam preparation packages of equal value and keep the update service on your original purchase.
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The Informatica Data Quality 10: Developer Specialist syllabus is organized into 6 domains. Among the headline areas are Matching and Consolidation (25%), Standardization and Cleansing (20%), Data Quality Concepts and Architecture (15%). Rather than copying every subtopic here, we keep the complete, current outline in the Exam Topics section above — work through it domain by domain with the TestSimulate Data-Quality-10-Developer-Specialist practice questions so nothing on the blueprint catches you off guard.
Question 1
Should data be standardized before it reaches the Address Validator?
A. Yes, street and directional abbreviations should always be expanded to their unabbreviated form.
B. Yes, they should all be upper case.
C. No, any change may cause problems to the AV transformation.
D. Yes, if after review, specific problems have been identified that are causing address to not validate that otherwise would.
Question 2
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. Batch access
D. Performance
Question 3
Which DQ Transformations can be used to automatically consolidate matched records?
A. Key Gen, Association and Consolidation
B. Match and Association
C. Key Gen and Consolidation
D. Consolidation
Question 4
What types of profiling can be performed in the Developer Tool in Data Quality?
Options are :
A. Column Profiling, Primary Key Inference, Dependency Inference
B. Column and Join Profiling only
C. Column, Join Analysis, Mid Stream and Comparative Profiling
D. Column, Join Analysis, Mid Stream, Comparative, Primary and Foreign Key and Overlap Profiling
Question 5
What Data Quality Transformation utilizes Identity populations?
A. Match Transformation
B. Edit Distance Transformation
C. Comparison Transformation
D. Key Generator Transformation
Solutions:
| Question 1 Answer: A | Question 2 Answer: A,B,C,D | Question 3 Answer: B | Question 4 Answer: C | Question 5 Answer: C |
Doris
Gwendolyn
Katherine
Meroy
Phyllis
Sylvia
Abel
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