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
How does Data Pipelines and Workflows deliver business value?
Answer: By reducing risk, improving efficiency, and enabling informed decisions
Data Pipelines and Workflows delivers business value through risk reduction, efficiency gains, and informed decision-making.
What is the governance framework for Data Pipelines and Workflows?
Answer: Defined roles, responsibilities, policies, and accountability structures
Governance for Data Pipelines and Workflows includes defined roles, responsibilities, policies, and accountability.
How should Data Pipelines and Workflows be communicated to stakeholders?
Answer: Regular updates with clear, actionable information and metrics
Stakeholder communication about Data Pipelines and Workflows should be regular with clear, actionable information.
What emerging trends are affecting Data Pipelines and Workflows?
Answer: Technology advances, increased automation, and evolving industry practices
Technology advances and evolving practices continuously shape how Data Pipelines and Workflows is approached.
How is Data Pipelines and Workflows tested or validated in practice?
Answer: Through regular testing, audits, and structured validation exercises
Data Pipelines and Workflows should be regularly tested and validated through appropriate exercises and audits.
What scalability considerations apply to Data Pipelines and Workflows?
Answer: Maintaining quality and consistency as scope and complexity grow
Scaling Data Pipelines and Workflows requires maintaining quality and consistency across growing environments.