Performance Optimization & Monitoring Flashcards

Which metric is most commonly used to measure the overall health and responsiveness of a newly implemented system during the post-go-live period?

Answer: Mean Time to Respond (MTTR) and system uptime percentage

MTTR and uptime percentage directly reflect how quickly issues are resolved and how reliably the system is available, making them key health indicators post-go-live.

A CIS professional notices that database query response times have increased significantly after a large data import. What is the BEST first step to address this?

Answer: Analyze query execution plans and check for missing indexes

Reviewing query execution plans and identifying missing indexes addresses the root cause of slow queries without disrupting system availability.

Which approach best describes 'baseline performance benchmarking' in a system implementation context?

Answer: Documenting expected system performance metrics before go-live to compare against post-implementation results

Baseline benchmarking establishes pre-go-live performance standards so that post-implementation deviations can be detected and addressed proactively.

Which tool category is most appropriate for monitoring real-time application performance in an enterprise implementation?

Answer: Application Performance Management (APM) tools

APM tools provide real-time visibility into application behavior, response times, error rates, and resource utilization critical for ongoing performance management.

When implementing a Service Level Agreement (SLA) for system performance, which element is essential to include?

Answer: Defined performance thresholds, measurement methods, and consequences for non-compliance

An SLA must specify measurable thresholds, how performance will be monitored, and what remedies apply when targets are missed to be enforceable and useful.

A CIS specialist is asked to reduce the load on a production server that handles high concurrent user traffic. Which strategy is MOST effective?

Answer: Implementing load balancing across multiple servers

Load balancing distributes incoming traffic across multiple servers, preventing any single server from becoming a bottleneck under high concurrent usage.

What is the primary purpose of conducting a post-implementation performance review at 30, 60, and 90 days after go-live?

Answer: To identify performance trends, resolve lingering issues, and confirm the system meets business requirements over time

Staged post-implementation reviews capture whether performance stabilizes or degrades over time and ensure the system continues to meet business needs as usage grows.