[100% Off] Kubernetes Monitoring (K8S-Mon-108): 1500 Questions

Covers Prometheus, Grafana, metrics-server, alerts, dashboards, ELK/EFK logging & performance tuning

Added on October 1, 2025 IT & Software 2 min read

What you’ll learn

Configure Prometheus and metrics-server to collect Kubernetes resource and custom application metrics.
Build and manage Grafana dashboards to visualize cluster
pod
and workload performance.
Set up ELK/EFK logging stacks to centralize
query
and analyze Kubernetes logs.
Implement alerting and incident response with Prometheus Alertmanager and Grafana alerts.

Requirements

Basic understanding of Kubernetes concepts such as pods
nodes
and namespaces.
Access to a Kubernetes cluster (local
cloud
or managed) for hands-on practice is helpful.
Familiarity with DevOps tools is useful
but not required — explanations are clear for all learners.
No advanced monitoring experience needed; the course is designed to guide you step by step.

Description

The Kubernetes Monitoring (K8S-MON-108): 1500 Questions practice test is designed to give you complete coverage of Kubernetes observability, logging, alerting, and performance optimization. With 1500 exam-style questions divided into six focused sections, you will practice solving real-world monitoring and troubleshooting scenarios.

Here’s what the exam includes:

Metrics Collection with Prometheus & Metrics-Server (250 questions)
Learn how to collect CPU, memory, and custom application metrics. Practice setting up Prometheus scrapers, exporters, and metrics-server integration for autoscaling and performance analysis.
Building Dashboards with Grafana (250 questions)
Explore how to design powerful dashboards, panels, and alerts in Grafana. Transform raw Kubernetes data into actionable insights for pods, nodes, and workloads.
Logging with ELK/EFK Stacks (250 questions)
Master log aggregation using Elasticsearch, Fluentd/Fluent Bit, and Kibana. Practice building log pipelines, filtering noisy data, and troubleshooting application and cluster issues.
Alerting & Incident Response (250 questions)
Configure Prometheus Alertmanager and Grafana alerts to reduce false positives and improve on-call efficiency. Learn how to integrate alerts into Slack, email, or PagerDuty.
Performance Tuning & Scalability Monitoring (250 questions)
Practice identifying bottlenecks, optimizing pod resource requests and limits, and monitoring autoscaling with HPA and VPA. Improve Kubernetes efficiency at scale.
Advanced Observability & Troubleshooting (250 questions)
Combine metrics, logs, and traces for deep observability. Learn distributed tracing with Jaeger, debug complex workloads, and integrate monitoring into CI/CD pipelines.

With clear explanations for every answer, this course ensures you not only practice but also understand the “why” behind each solution. By completing all six sections, you will be prepared to confidently handle Kubernetes monitoring, alerting, and troubleshooting in production environments.