Databricks Certified Data Engineer Associate Data Pipelines and Workflows 2 — Questions and Answers
Question 1: Which metric best measures Data Pipelines and Workflows 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 Pipelines and Workflows is best measured through KPIs that align with defined objectives.
Question 2: How does Data Pipelines and Workflows 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 Pipelines and Workflows should follow controlled processes with proper impact assessment.
Question 3: What documentation is essential for Data Pipelines and Workflows?
- 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 Pipelines and Workflows documentation includes policies, procedures, guidelines, and decision records.
Question 4: How does Data Pipelines and Workflows 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 Pipelines and Workflows comes from regular assessment and iterative enhancement cycles.
Question 5: What is the relationship between Data Pipelines and Workflows and security?
- Data Pipelines and Workflows includes security considerations as an integral component (Correct answer)
- Security is completely unrelated to this topic
- Data Pipelines and Workflows replaces all other security measures
- Security only applies to network-related topics
Correct answer: Data Pipelines and Workflows includes security considerations as an integral component
Security is an integral part of Data Pipelines and Workflows, ensuring that implementations are protected and compliant.
Question 6: How should Data Pipelines and Workflows 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 Pipelines and Workflows should be based on risk assessment and business impact.
Databricks Certified Data Engineer Associate Data Pipelines and Workflows 2
Which metric best measures Data Pipelines and Workflows effectiveness?