Cassandra Operations in Kubernetes Associate Exam Datastax

Master Apache Cassandra on Kubernetes: Exam Prep & Hands-on Practice

Become a confident Apache Cassandra® on Kubernetes expert with our exam-focused practice tests. This comprehensive course equips DevOps engineers, SREs, DBAs, and platform teams with the skills to deploy, manage, and troubleshoot Cassandra in a Kubernetes environment.

Why Learn Cassandra on Kubernetes?

Kubernetes has become the preferred platform for modern, scalable applications. This course focuses on the practical aspects of running Apache Cassandra® on Kubernetes, providing you with the knowledge and skills to excel in your role.

Here's what you'll gain:

• Job-Ready Skills: Prepare for real-world scenarios and certification exams with timed practice tests mirroring exam difficulty and production incidents.
• Production Realism: Learn through practical examples using YAML/Helm values, kubectl output, Custom Resource Definitions (CRDs), and common failure modes.
• Actionable Insights: Each explanation provides clear steps to take on your Cassandra cluster and the reasoning behind them.
• Targeted Training: Utilize timed/untimed modes and per-domain analytics to identify and address knowledge gaps.

Key Topics Covered:

• Deployment & Scaling: Master StatefulSets, PVC/StorageClass selection, liveness/readiness probes, and headless Services for robust Cassandra deployments.
• cass-operator: Learn to automate cluster creation, scaling, rack/zone topology management, rolling upgrades, and safe node replacement.
• K8ssandra: Gain proficiency in opinionated provisioning, day-2 operations, and component wiring for Reaper, Medusa, Prometheus, Grafana, and Stargate.
• Data Protection: Implement full/incremental backups with Medusa to S3/GCS/MinIO, including PITR, restore validation, and recovery drills.
• Automated Repairs: Utilize Reaper for effective repair strategies, intensity/parallelism tuning, scheduling, and error handling.
• Observability & Monitoring: Set up Prometheus metrics, Grafana dashboards, and actionable alerts to ensure optimal latency and availability.
• Security: Implement TLS (node-node, client-node), Secrets management, RBAC, and ingress/port-forwarding for secure access.
• Stargate APIs: Understand REST/GraphQL/Document access patterns, authentication, and troubleshooting techniques.
• Performance & Reliability: Optimize compaction, JVM/GC settings, resource requests/limits, and avoid common performance anti-patterns.

How the Practice Tests Work:

• Concise Explanations: Each question features the best answer with a 60-120 word explanation of why other options are incorrect.
• Mini-Labs: Interactive mini-labs within explanations allow you to copy-paste commands and Helm values for hands-on practice.
• Focus Mode: Target weak areas with re-quizzes to ensure mastery of backups, repairs, observability, and security.
• Score Goals: Iterate until your average score is 10-15% above your target pass mark.

Real-World Scenarios You'll Solve:

• Rolling Upgrade Failures: Learn to drain, decommission, and replace nodes with the correct topology.
• Restore Failures: Diagnose Medusa storage paths, credentials, snapshot metadata, and PITR windows.
• Latency Spikes: Identify compaction backlog, heap pressure, pod CPU throttling, and mis-sized requests/limits.
• Repair Overload: Tune Reaper intensity/parallelism and schedule repairs during off-peak hours.
• TLS Connectivity Issues: Verify keystores, truststores, SANs, and rotate certificates without downtime.
• Missing Metrics: Fix scrape configs, relabeling, namespaces, and ServiceMonitors.
• Ingress vs. Port-Forwarding: Choose the appropriate exposure pattern and secure it with RBAC.

Who is This Course For?

This course is ideal for:

• DevOps Engineers
• SREs (Site Reliability Engineers)
• DBAs (Database Administrators)
• Platform/Infrastructure Teams
• Backend Developers integrating via Stargate
• Architects building high-availability, low-latency NoSQL solutions on Kubernetes

Perfect for: VM→K8s migrations and K8ssandra/Cassandra operations certification preparation.

Prerequisites:

• No strict prerequisites.
• Basic command-line interface (CLI) knowledge is helpful.
• Optional: Docker Desktop or a local Kubernetes cluster for mini-labs.

What You'll Achieve: