Mixed Deck — All Databricks Certified Data Engineer Associate Topics Flashcards
100 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 20 Mixed Deck — All Databricks Certified Data Engineer Associate Topics flashcards as text
What training is recommended for Data Quality and Testing?
Answer: Structured training combining theory and practical application
Effective Data Quality and Testing training combines theoretical knowledge with hands-on practical application.
What is the governance framework for Databricks Jobs and Orchestration?
Answer: Defined roles, responsibilities, policies, and accountability structures
Governance for Databricks Jobs and Orchestration includes defined roles, responsibilities, policies, and accountability.
How should Structured Streaming be prioritized against competing organizational needs?
Answer: Based on risk assessment and business impact analysis
Prioritization of Structured Streaming should be based on risk assessment and business impact.
How does Data Quality and Testing contribute to continuous improvement?
Answer: Through regular assessment, feedback loops, and iterative enhancement
Continuous improvement in Data Quality and Testing comes from regular assessment and iterative enhancement cycles.
Which statement best describes Data Quality and Testing?
Answer: A core component of the Databricks Certified Data Engineer Associate certification body of knowledge
Data Quality and Testing is a fundamental topic within the Databricks Certified Data Engineer Associate certification covering essential knowledge and skills.
What is the difference between strategic and tactical approaches to Medallion Architecture?
Answer: Strategic focuses on long-term goals; tactical on immediate implementation
Strategic Medallion Architecture addresses long-term objectives while tactical focuses on immediate implementation.
What prerequisite knowledge is needed for Medallion Architecture?
Answer: Understanding of foundational concepts and organizational context
Effective work with Medallion Architecture requires understanding foundational concepts and organizational context.
Which statement best describes Performance Optimization?
Answer: A core component of the Databricks Certified Data Engineer Associate certification body of knowledge
Performance Optimization is a fundamental topic within the Databricks Certified Data Engineer Associate certification covering essential knowledge and skills.
How should Databricks SQL be prioritized against competing organizational needs?
Answer: Based on risk assessment and business impact analysis
Prioritization of Databricks SQL should be based on risk assessment and business impact.
How does Databricks Jobs and Orchestration support audit requirements?
Answer: Through documented processes, evidence collection, and traceability
Databricks Jobs and Orchestration supports audits through documented processes, evidence, and clear traceability.
What is the difference between strategic and tactical approaches to Data Pipelines and Workflows?
Answer: Strategic focuses on long-term goals; tactical on immediate implementation
Strategic Data Pipelines and Workflows addresses long-term objectives while tactical focuses on immediate implementation.
What reporting is needed for Data Quality and Testing?
Answer: Regular reports to relevant stakeholders with actionable insights and metrics
Reporting on Data Quality and Testing should be regular with actionable insights and meaningful metrics.
How is Apache Spark Fundamentals tested or validated in practice?
Answer: Through regular testing, audits, and structured validation exercises
Apache Spark Fundamentals should be regularly tested and validated through appropriate exercises and audits.
What is a best practice for Structured Streaming?
Answer: Following established standards and documenting all decisions
Best practices for Structured Streaming include following established standards and maintaining documentation.
How should Apache Spark Fundamentals be communicated to stakeholders?
Answer: Regular updates with clear, actionable information and metrics
Stakeholder communication about Apache Spark Fundamentals should be regular with clear, actionable information.
How does Databricks Jobs and Orchestration relate to risk management?
Answer: It identifies, assesses, and mitigates risks specific to this domain
Databricks Jobs and Orchestration helps identify, assess, and mitigate domain-specific risks as part of risk management.
What vendor considerations apply to Medallion Architecture?
Answer: Evaluating vendors, managing SLAs, and monitoring ongoing performance
Vendor considerations for Medallion Architecture include evaluation, SLA management, and performance monitoring.
What reporting is needed for Performance Optimization?
Answer: Regular reports to relevant stakeholders with actionable insights and metrics
Reporting on Performance Optimization should be regular with actionable insights and meaningful metrics.
How should Performance Optimization be prioritized against competing organizational needs?
Answer: Based on risk assessment and business impact analysis
Prioritization of Performance Optimization should be based on risk assessment and business impact.
How is Data Governance and Unity Catalog tested or validated in practice?
Answer: Through regular testing, audits, and structured validation exercises
Data Governance and Unity Catalog should be regularly tested and validated through appropriate exercises and audits.