Cloud Cost Optimization Techniques Questions and Answers for Viva

Answer-1: Cloud cost optimization refers to strategies and techniques used to reduce cloud expenditure while maintaining performance and availability.

Answer-2: It helps organizations control spending, improve ROI, and avoid unexpected high bills.

Answer-3: Overprovisioning, unused resources, lack of monitoring, inefficient storage, and poor instance selection.

Answer-4: Right-sizing is adjusting cloud resources to match the actual workload requirements.

Answer-5: Reserved instances offer discounted pricing in exchange for committing to usage over a period.

Answer-6: Spot instances are unused cloud compute capacity offered at steep discounts but can be interrupted.

Answer-7: Autoscaling adjusts resources automatically based on demand, reducing costs during low usage.

Answer-8: It prevents paying for idle resources that do not provide any value.

Answer-9: They help detect anomalies and overuse quickly, enabling timely cost-saving actions.

Answer-10: Tagging helps track and allocate costs by department, project, or owner for better visibility.

Answer-11: Tools like AWS Cost Explorer or Azure Cost Management analyze and provide insights into cloud spending.

Answer-12: It moves data between different storage classes based on access frequency, lowering storage expenses.

Answer-13: It automates moving or deleting data to reduce costs over its lifecycle.

Answer-14: Serverless charges based on actual usage, eliminating costs for idle compute time.

Answer-15: Efficient designs reduce resource waste, optimize usage, and lower data transfer costs.

Answer-16: Different regions have varying pricing; selecting the right one can reduce latency and cost.

Answer-17: Reducing data transfer and using CDN can minimize bandwidth charges.

Answer-18: Cloud bursting allows on-premises workloads to overflow into the cloud only when needed, saving costs.

Answer-19: Containers improve resource utilization and allow efficient scaling, reducing cost.

Answer-20: It involves managing and optimizing costs across multiple cloud providers.

Answer-21: Use cloud-agnostic tools and architectures to keep flexibility and negotiate pricing.

Answer-22: Automation eliminates manual errors and optimizes resource usage with policies and scripts.

Answer-23: It helps attribute costs to business units, improving budgeting and accountability.

Answer-24: Running non-critical workloads during off-peak hours when pricing may be lower saves money.

Answer-25: Use right-sizing, reserved instances, automation, monitoring, tagging, and storage optimization.

Answer-26: Reserved instances require upfront commitment but cost less, while on-demand are pay-as-you-go.

Answer-27: Choosing the right database tier, instance size, and deleting unused data helps lower costs.

Answer-28: Forecasting predicts future expenses to plan budgets and avoid surprises.

Answer-29: Identify and delete resources no longer attached or used to save costs.

Answer-30: It prevents paying for more storage than needed and improves performance.

Answer-31: Use smaller instance types, schedule shutdowns, and limit resource allocation.

Answer-32: Cloud credits are prepaid amounts or discounts offered by providers to reduce costs.

Answer-33: Use open-source or pay-as-you-go licenses and remove unused licenses.

Answer-34: Regular review helps detect anomalies and unnecessary costs early.

Answer-35: They provide visibility and trends to make informed decisions about spending.

Answer-36: Data egress charges apply when data leaves the cloud, often incurring significant costs.

Answer-37: CDN caches content closer to users, reducing bandwidth and server load.

Answer-38: Unexpected high bills, budget overruns, and wasted resources.

Answer-39: Policies automate controls like shutting down idle resources or enforcing tagging.

Answer-40: Matching instance types to workload requirements improves cost efficiency.

Answer-41: They offer pre-built solutions that reduce development and maintenance costs.

Answer-42: Reserved instances, spot instances, autoscaling, and lifecycle policies.

Answer-43: They optimize resource usage by managing container deployments and scaling efficiently.

Answer-44: They provide integrated cost insights with resource usage data.

Answer-45: Optimizing usage reduces energy consumption and environmental impact.

Answer-46: Educating teams fosters accountability and cost-conscious development.

Answer-47: They ensure consistent tagging for accurate cost tracking and reporting.

Answer-48: It is the process of identifying unusual spikes or drops in cloud spending automatically.

Answer-49: Minimizing cross-region or cross-AZ traffic reduces bandwidth charges.

Answer-50: A structured approach involving assessment, monitoring, and continuous improvement of cloud costs.