Research & Evidence-Based Practice Flashcards

A cloud engineering team wants to evaluate whether migrating from VMs to containers will reduce infrastructure costs. Which methodology best supports this evidence-based decision?

Answer: Conduct a proof-of-concept with representative workloads and measure actual resource utilization

A PoC with real workloads produces organization-specific data that reflects actual usage patterns rather than generalized benchmarks.

When reviewing cloud vendor whitepapers to inform architectural decisions, what is the most important critical evaluation step?

Answer: Identify potential conflicts of interest in the sponsoring organization

Vendor-sponsored research may have inherent bias toward their own products, so evaluating conflicts of interest is the primary critical lens.

A team is selecting a cloud database service and finds two contradictory performance studies. What is the best next step?

Answer: Examine the testing methodology, workload type, and conditions of each study

Contradictory results often stem from differences in methodology or workload characteristics, so comparing study conditions reveals which is more applicable.

Which metric is most appropriate for measuring the business impact of a cloud cost-optimization initiative?

Answer: Reduction in cloud spend as a percentage of revenue or equivalent business output

Normalizing cost savings against a business output metric provides a meaningful, comparable measure of impact rather than an absolute dollar figure in isolation.

A cloud architect wants to apply chaos engineering principles based on published research. Which source provides the most rigorous, peer-reviewed foundation?

Answer: Peer-reviewed ACM or IEEE conference papers on fault injection testing

ACM and IEEE peer-reviewed papers undergo independent review for methodology rigor, making them the most credible academic sources.

When establishing SLOs (Service Level Objectives) for a new cloud service, what evidence-based approach is most effective?

Answer: Analyze historical performance data of similar services and align with documented user tolerance thresholds

Historical data and user research provide empirical grounding for SLOs that are both achievable and meaningful to end users.

A team implements a new auto-scaling policy and wants to validate its effectiveness. Which approach best demonstrates evidence-based practice?

Answer: Define measurable success criteria before deployment, then compare pre- and post-deployment metrics against those criteria

Pre-defining success criteria prevents confirmation bias and ensures evaluation is objective and tied to quantifiable outcomes.