300-910 · Question #34
300-910 Question #34: Real Exam Question with Answer & Explanation
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Question
A DevOps engineer is supporting a containerized application with multiple components running across the Kubernetes cluster. Metrics from the containers (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?
Options
- AGrafana has lost connectivity to Prometheus, which causes graphs to display only the cached data.
- BCPU and memory metrics from Kubernetes nodes are not accurate due to the way that containers share resources.
- CSome containers are crashing regularly and being restarted automatically by Kubernetes.
- DThe metricbeat agent has crashed and is no longer sending new data to Prometheus, so the metrics are not updating.
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