A DevOps engineer is supporting a containerized application with multiple components running across the Kubernetes cluster. Metrics from the container (CPU and memory) and application (requests per second and heap size) are being collected by Prometheus and displayed with Grafana. Users report transaction timeout problems with the application, but the metric graphs all look within normal levels. Which type of failure would prevent the engineer from seeing the problem using the captured metrics? A. Grafana has lost connectivity to Prometheus, which causes graphs to display only the cached data. B. CPU and memory metrics from Kubernetes nodes are not accurate due to the way that containers share resources. C. Some containers are crashing regularly and being restarted automatically by Kubernetes. D. The metricbeat agent has crashed and is no longer sending new data to Prometheus, so the metrics are not updating. Â Suggested Answer: D This question is in 300-910 Implementing DevOps Solutions and Practices Using Cisco Platforms (DEVOPS) Exam For getting Cisco Certified DevNet Professional Certificate Disclaimers: The website is not related to, affiliated with, endorsed or authorized by Cisco. Trademarks, certification & product names are used for reference only and belong to Cisco. The website does not contain actual questions and answers from Cisco's Certification Exam.
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