Cloud Engineer Research & Evidence-Based Practice 4

Question 1

A cloud team wants to evaluate the security posture of their infrastructure. Which evidence source provides the most objective, standardized baseline?

Accepted Answer

CIS Benchmarks or NIST frameworks applied via automated compliance scanning tools

Answer

CIS Benchmarks and NIST frameworks are independently developed standards, and automated scanning provides objective, repeatable measurement against them.

Question 2

What is the primary purpose of an A/B test in a cloud platform engineering context?

Accepted Answer

To isolate the causal effect of a single change by exposing different populations to each variant simultaneously

Answer

A/B testing isolates causality by holding all variables constant except the one being tested, enabling confident attribution of observed differences to that change.

Question 3

A cloud engineer references a 2019 study on Kubernetes networking performance to justify a current architectural decision. What concern should be raised?

Accepted Answer

Kubernetes networking has evolved significantly since 2019 and the findings may no longer reflect current behavior

Answer

Cloud and container technologies evolve rapidly, so older studies may reflect deprecated behavior, outdated defaults, or features that have since changed substantially.

Question 4

Which statistical concept is most important to understand when evaluating cloud cost-saving reports that claim a specific percentage reduction?

Accepted Answer

Whether the reported change is statistically significant and not within normal variability

Answer

Without statistical significance testing, a reported percentage reduction could simply reflect normal cost variance rather than a genuine improvement.

Question 5

A team uses the DORA metrics (deployment frequency, lead time, MTTR, change failure rate) to benchmark their engineering performance. What is a key limitation of comparing your DORA scores to published industry averages?

Accepted Answer

Industry averages aggregate diverse contexts and may not reflect organizations with similar tech stacks, team sizes, or domains

Answer

Aggregated industry benchmarks mask significant contextual variation, making direct comparison without accounting for organizational similarity potentially misleading.

Cloud Engineer Practice Test

Cloud Engineer Practice Test

Cloud Engineer Research & Evidence-Based Practice 4