ETL with Spark SQL 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 ETL with Spark SQL flashcards as text
How does ETL with Spark SQL relate to risk management?
Answer: It identifies, assesses, and mitigates risks specific to this domain
ETL with Spark SQL helps identify, assess, and mitigate domain-specific risks as part of risk management.
What reporting is needed for ETL with Spark SQL?
Answer: Regular reports to relevant stakeholders with actionable insights and metrics
Reporting on ETL with Spark SQL should be regular with actionable insights and meaningful metrics.
How does ETL with Spark SQL support audit requirements?
Answer: Through documented processes, evidence collection, and traceability
ETL with Spark SQL supports audits through documented processes, evidence, and clear traceability.
What vendor considerations apply to ETL with Spark SQL?
Answer: Evaluating vendors, managing SLAs, and monitoring ongoing performance
Vendor considerations for ETL with Spark SQL include evaluation, SLA management, and performance monitoring.
How should ETL with Spark SQL be budgeted?
Answer: Based on risk assessment, expected ROI, and organizational priorities
Budget for ETL with Spark SQL should be based on risk assessment, expected ROI, and organizational priorities.
What exam preparation tips apply to ETL with Spark SQL?
Answer: Understand core concepts, practice with scenarios, and learn key terminology
For ETL with Spark SQL exam preparation, focus on core concepts, scenario practice, and proper terminology.