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[100% OFF] Coupon Code Kubernetes CKA DevOps Monitoring: 1500 Certified Questions

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:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.


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