DP-600 Lakehouses and Data Engineering 6

Question 1

How does Lakehouses and Data Engineering relate to risk management?

Accepted Answer

It identifies, assesses, and mitigates risks specific to this domain

Answer

Lakehouses and Data Engineering helps identify, assess, and mitigate domain-specific risks as part of risk management.

Question 2

What reporting is needed for Lakehouses and Data Engineering?

Accepted Answer

Regular reports to relevant stakeholders with actionable insights and metrics

Answer

Reporting on Lakehouses and Data Engineering should be regular with actionable insights and meaningful metrics.

Question 3

How does Lakehouses and Data Engineering support audit requirements?

Accepted Answer

Through documented processes, evidence collection, and traceability

Answer

Lakehouses and Data Engineering supports audits through documented processes, evidence, and clear traceability.

Question 4

What vendor considerations apply to Lakehouses and Data Engineering?

Accepted Answer

Evaluating vendors, managing SLAs, and monitoring ongoing performance

Answer

Vendor considerations for Lakehouses and Data Engineering include evaluation, SLA management, and performance monitoring.

Question 5

How should Lakehouses and Data Engineering be budgeted?

Accepted Answer

Based on risk assessment, expected ROI, and organizational priorities

Answer

Budget for Lakehouses and Data Engineering should be based on risk assessment, expected ROI, and organizational priorities.

DP-600 Fabric Practice Test