Data Pipelines and Workflows Flashcards
6 cards from real Databricks Certified Data Engineer Associate practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 Data Pipelines and Workflows flashcards as text
Which metric best measures Data Pipelines and Workflows effectiveness?
Answer: Domain-specific KPIs aligned with defined objectives
Effectiveness of Data Pipelines and Workflows is best measured through KPIs that align with defined objectives.
How does Data Pipelines and Workflows handle change management?
Answer: Through controlled processes that assess impact before changes
Changes to Data Pipelines and Workflows should follow controlled processes with proper impact assessment.
What documentation is essential for Data Pipelines and Workflows?
Answer: Policies, procedures, guidelines, and records of decisions
Essential Data Pipelines and Workflows documentation includes policies, procedures, guidelines, and decision records.
How does Data Pipelines and Workflows contribute to continuous improvement?
Answer: Through regular assessment, feedback loops, and iterative enhancement
Continuous improvement in Data Pipelines and Workflows comes from regular assessment and iterative enhancement cycles.
What is the relationship between Data Pipelines and Workflows and security?
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.
How should Data Pipelines and Workflows be prioritized against competing organizational needs?
Answer: Based on risk assessment and business impact analysis
Prioritization of Data Pipelines and Workflows should be based on risk assessment and business impact.