Data-Quality-10-Developer-Specialist Study Guide PDF and Practice Questions
Informatica Data-Quality-10-Developer-Specialist Exam Specifications
- Exam Code:
- Data-Quality-10-Developer-Specialist
- Exam Name:
- Data Quality 10: Developer Specialist Exam
- Provider:
- Informatica
- Time:
- 90 min
- Passing Percentage:
- 70%
- Version:
- 6.1
Question Types
- 60 Single Select
- 10 Multi Select
70 Questions with Answers
- PDF Printable (Q & A)
- 3 Months
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Real Exam-like Questions and Answers (70 total)
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Data Quality 10: Developer Specialist Exam: Compact Topic Summary
Data Quality 10: Developer Specialist Exam focuses on applying data quality principles in practice, including profiling to assess data health, cleansing to detect and fix issues, and validation rules to enforce consistency, with enrichment checks for reliable data integration. It also covers measuring success with quality metrics and KPIs, tracing lineage for governance and traceability, implementing robust testing and exception handling, and building automated workflows with governance roles that support cross-functional data ownership and continuous improvement.
Summary Topics
- Fundamentals of data quality concepts and their impact on analytics
- Data profiling techniques to assess quality indicators and data health
- Data cleansing strategies to detect, correct, and prevent quality issues
- Validation rules and rule libraries to enforce consistent data quality
- Data quality metrics and KPIs to measure improvement over time
- Data lineage and impact analysis for traceability and governance purposes
- Data enrichment considerations and quality checks for reliable source integration
- Data quality testing strategies including negative testing and exception handling
- Tooling and automation for data quality workflows and continuous improvement
- Governance policies, roles, and collaboration patterns supporting quality ownership across departments
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