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Cloud Capacity Management Practice Exam

Cloud Capacity Management Practice Exam


About Cloud Capacity Management Exam 

The Cloud Capacity Management Practice Exam is designed to test your knowledge of planning, monitoring, and optimizing cloud resources. It checks your understanding of how to balance cost, performance, and usage in cloud environments. This exam is useful for cloud engineers, IT professionals, and students preparing for roles in cloud operations or cloud infrastructure management.


Who should take the Exam?

This exam is suitable for:

  • Cloud administrators and infrastructure engineers
  • DevOps and system operations teams
  • IT professionals managing cloud platforms
  • Students learning cloud computing or IT infrastructure
  • Professionals preparing for cloud certification exams
  • Educators teaching cloud architecture or operations


Skills Required

  • Basic knowledge of cloud platforms (AWS, Azure, GCP, etc.)
  • Understanding of virtual machines, containers, and cloud storage
  • Familiarity with resource monitoring and autoscaling
  • Interest in cloud performance, planning, and cost control
  • Ability to work with dashboards, metrics, and alerts


Knowledge Gained

  • Clear understanding of capacity planning in cloud environments
  • Ability to monitor and analyze usage and performance trends
  • Familiarity with scaling strategies and provisioning methods
  • Skills to reduce costs without impacting service quality
  • Readiness for operational roles and certification preparation


Course Outline

The Cloud Capacity Management Practice Exam covers the following topics:

Domain 1 – Introduction to Cloud Capacity Management

  • What is capacity management and why it matters in the cloud
  • Key goals: efficiency, cost control, and performance


Domain 2 – Cloud Infrastructure Components

  • Compute, storage, networking, and database resources
  • Differences in resource types across providers


Domain 3 – Monitoring and Metrics

  • Tools and dashboards used in cloud monitoring
  • Key performance indicators (CPU, memory, network, disk I/O)
  • Alerting systems and health checks


Domain 4 – Autoscaling and Load Management

  • Horizontal and vertical scaling
  • Load balancing techniques and configuration
  • Scaling policies and thresholds


Domain 5 – Capacity Planning Strategies

  • Forecasting usage based on trends and workloads
  • Using historical data and predictive models
  • Planning for seasonal spikes and future demand


Domain 6 – Cost Optimization and Rightsizing

  • Identifying underused or oversized resources
  • Using pricing calculators and cost management tools
  • Reserved instances vs. on-demand vs. spot instances


Domain 7 – Multi-Cloud and Hybrid Environments

  • Managing capacity across different platforms
  • Integration challenges and strategies
  • Data portability and compliance


Domain 8 – Best Practices and Real-World Scenarios

  • Case studies of cloud capacity planning
  • Common mistakes and how to avoid them
  • Security, compliance, and business continuity

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