SCP-500 Research & Evidence-Based Practice 2 ā Questions and Answers
Question 1: When using SolarWinds to establish a performance baseline, which time window is generally recommended to capture meaningful seasonal variation?
- 24 hours of peak traffic
- At least 7ā14 days covering weekday and weekend cycles (Correct answer)
- A single business-hours snapshot
- One hour during the busiest period
Correct answer: At least 7ā14 days covering weekday and weekend cycles
A 7ā14 day window captures both weekday and weekend traffic patterns, providing a statistically representative baseline.
Question 2: In evidence-based network troubleshooting with SolarWinds NPM, which data source provides the strongest evidence for identifying the root cause of intermittent packet loss?
- SNMP trap logs only
- Correlated interface error counters, latency trends, and packet-loss statistics over time (Correct answer)
- A single ping test from the poller
- DNS resolution logs
Correct answer: Correlated interface error counters, latency trends, and packet-loss statistics over time
Correlating multiple data streamsāerror counters, latency, and packet-loss statisticsāprovides multi-dimensional evidence that isolates root cause more reliably than any single metric.
Question 3: A SolarWinds administrator notices CPU alerts firing nightly at 2 AM. What evidence-based first step should be taken before making configuration changes?
- Immediately upgrade hardware
- Disable the alert to stop noise
- Review scheduled jobs and task schedules to correlate the CPU spike with a known process (Correct answer)
- Reboot the server at 1:59 AM daily
Correct answer: Review scheduled jobs and task schedules to correlate the CPU spike with a known process
Correlating the alert time with scheduled tasks (backups, scans, maintenance jobs) identifies the likely cause before any change is made.
Question 4: Which SolarWinds feature allows administrators to annotate charts with events such as patch deployments, helping correlate changes with performance shifts?
- NetPath
- Event Annotations / Change Events overlay on performance charts (Correct answer)
- IPAM Audit Trail
- Flow Navigator
Correct answer: Event Annotations / Change Events overlay on performance charts
Change event overlays let teams visually correlate configuration or deployment events with metric changes on the same timeline.
Question 5: When researching capacity needs using SolarWinds SAM, which report type projects when a monitored resource will reach a critical threshold based on historical growth trends?
- Availability Summary Report
- Capacity Forecasting / Trend Report (Correct answer)
- Alert History Report
- License Inventory Report
Correct answer: Capacity Forecasting / Trend Report
Capacity Forecasting reports use historical trend data to extrapolate when a resource (disk, CPU, memory) will hit a defined threshold.
Question 6: A team wants to validate whether a network change improved WAN performance. Which SolarWinds practice supports this evidence-based validation?
- Delete pre-change data to avoid confusion
- Compare pre-change and post-change baseline reports for latency and throughput on the affected link (Correct answer)
- Rely on end-user complaints to measure improvement
- Check only the current-day dashboard
Correct answer: Compare pre-change and post-change baseline reports for latency and throughput on the affected link
Comparing documented pre- and post-change metrics provides objective evidence of whether the change achieved its intended outcome.
Question 7: In SolarWinds Orion, what is the purpose of Custom Properties when used in an evidence-based practice workflow?
- They replace SNMP polling entirely
- They allow tagging of nodes with contextual metadata (e.g., location, owner, criticality) to filter and segment research data (Correct answer)
- They disable default alert thresholds
- They control polling frequency for all nodes
Correct answer: They allow tagging of nodes with contextual metadata (e.g., location, owner, criticality) to filter and segment research data
Custom Properties enrich node records with business context, enabling researchers to segment performance data by department, site, or service tier.
When using SolarWinds to establish a performance baseline, which time window is generally recommended to capture meaningful seasonal variation?