Databricks Certified Data Engineer Associate Data Quality and Testing 2

Question 1

Which metric best measures Data Quality and Testing effectiveness?

Accepted Answer

Domain-specific KPIs aligned with defined objectives

Answer

Effectiveness of Data Quality and Testing is best measured through KPIs that align with defined objectives.

Question 2

How does Data Quality and Testing handle change management?

Accepted Answer

Through controlled processes that assess impact before changes

Answer

Changes to Data Quality and Testing should follow controlled processes with proper impact assessment.

Question 3

What documentation is essential for Data Quality and Testing?

Accepted Answer

Policies, procedures, guidelines, and records of decisions

Answer

Essential Data Quality and Testing documentation includes policies, procedures, guidelines, and decision records.

Question 4

How does Data Quality and Testing contribute to continuous improvement?

Accepted Answer

Through regular assessment, feedback loops, and iterative enhancement

Answer

Continuous improvement in Data Quality and Testing comes from regular assessment and iterative enhancement cycles.

Question 5

What is the relationship between Data Quality and Testing and security?

Accepted Answer

Data Quality and Testing includes security considerations as an integral component

Answer

Security is an integral part of Data Quality and Testing, ensuring that implementations are protected and compliant.

Databricks Data Engineer Practice Test