Exam Name: Data Quality 10: Developer Specialist Exam
Certification Provider: Informatica
Corresponding Certification: Informatica Data Quality
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Informatica Data-Quality-10-Developer-Specialist certification exam is an essential certification for professionals interested in data quality management. It provides a standardized way of evaluating a candidate's skills and knowledge in using Informatica Data Quality 10 tools and features. Data Quality 10: Developer Specialist Exam certification is valid for two years and can be recertified to maintain certification status. Passing the exam can open up new career opportunities and demonstrate a candidate's expertise in data quality management.
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The Informatica Data-Quality-10-Developer-Specialist exam covers a range of topics related to Informatica Data Quality 10 development, including data profiling, data quality assessment, data standardization, and data cleansing. It also covers advanced topics such as metadata management, reference data management, and data quality scorecards. Data-Quality-10-Developer-Specialist exam is designed to be challenging, and passing it requires a thorough understanding of these topics and their practical application in a development environment.
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The Informatica Data-Quality-10-Developer-Specialist exam consists of multiple-choice questions and is timed for two hours. Data-Quality-10-Developer-Specialist exam questions are designed to assess the candidate's knowledge of data quality concepts, as well as their ability to apply these concepts in real-world scenarios. Data-Quality-10-Developer-Specialist exam is available in English, Japanese, and Chinese.
To prepare for the exam, developers are advised to have a solid understanding of data quality concepts, as well as experience working with Informatica's data quality tools. They should also have experience with data integration, data warehousing, and data governance.
Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: DQ for Excel | 5% | - Excel-based Data Quality
|
| Topic 2: Analyst Collaboration | 10% | - Analyst Tool Usage
|
| Topic 3: Standardization and Mapplets | 10% | - Data Standardization
|
| Topic 4: Integration with PowerCenter | 5% | - Execution and Deployment
|
| Topic 5: Parameters | 5% | - Runtime Configuration
|
| Topic 6: Content | 10% | - Prebuilt Content Usage
|
| Topic 7: Matching | 10% | - Match Logic
|
| Topic 8: Data Profiling | 15% | - Profiling Methods
|
| Topic 9: Consolidation and Data Quality Applications (DQA) | 10% | - Data Consolidation
|
| Topic 10: Address Validation | 5% | - Address Validation Transformation
|
| Topic 11: Object Import and Export | 5% | - Metadata Management
|
| Topic 12: Informatica Platform Overview | 10% | - Architecture and Components
|
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