Databricks Certified Data Engineer Associate Data Quality and Testing 2 — Questions and Answers
Question 1: Which metric best measures Data Quality and Testing effectiveness?
- Domain-specific KPIs aligned with defined objectives (Correct answer)
- Number of meetings held about the topic
- Amount of documentation produced
- Budget spent on related tools
Correct answer: Domain-specific KPIs aligned with defined objectives
Effectiveness of Data Quality and Testing is best measured through KPIs that align with defined objectives.
Question 2: How does Data Quality and Testing handle change management?
- Through controlled processes that assess impact before changes (Correct answer)
- Changes are not allowed once implemented
- All changes happen immediately without review
- Change management is handled separately
Correct answer: Through controlled processes that assess impact before changes
Changes to Data Quality and Testing should follow controlled processes with proper impact assessment.
Question 3: What documentation is essential for Data Quality and Testing?
- Policies, procedures, guidelines, and records of decisions (Correct answer)
- No documentation is needed
- Only a one-page summary document
- Only informal email notes
Correct answer: Policies, procedures, guidelines, and records of decisions
Essential Data Quality and Testing documentation includes policies, procedures, guidelines, and decision records.
Question 4: How does Data Quality and Testing contribute to continuous improvement?
- Through regular assessment, feedback loops, and iterative enhancement (Correct answer)
- By maintaining the status quo indefinitely
- By preventing any changes to existing processes
- Through one-time implementation only
Correct answer: Through regular assessment, feedback loops, and iterative enhancement
Continuous improvement in Data Quality and Testing comes from regular assessment and iterative enhancement cycles.
Question 5: What is the relationship between Data Quality and Testing and security?
- Data Quality and Testing includes security considerations as an integral component (Correct answer)
- Security is completely unrelated to this topic
- Data Quality and Testing replaces all other security measures
- Security only applies to network-related topics
Correct answer: Data Quality and Testing includes security considerations as an integral component
Security is an integral part of Data Quality and Testing, ensuring that implementations are protected and compliant.
Question 6: How should Data Quality and Testing be prioritized against competing organizational needs?
- Based on risk assessment and business impact analysis (Correct answer)
- Always given highest priority over everything else
- Always given lowest priority
- Prioritized randomly without analysis
Correct answer: Based on risk assessment and business impact analysis
Prioritization of Data Quality and Testing should be based on risk assessment and business impact.
Databricks Certified Data Engineer Associate Data Quality and Testing 2
Which metric best measures Data Quality and Testing effectiveness?