Cloud Resource Management Questions and Answers for Viva

Answer-1: Orchestration automates the arrangement, coordination, and management of cloud resources and services.

Answer-2: Elasticity is the ability of the cloud to automatically increase or decrease resources as needed.

Answer-3: Scaling up increases resource capacity of a single instance; scaling out adds more instances to handle load.

Answer-4: Resource utilization measures how effectively computing resources are being used.

Answer-5: Load balancing distributes incoming traffic across multiple servers to ensure availability and performance.

Answer-6: Capacity planning involves forecasting resource demand to ensure sufficient capacity is available without over-provisioning.

Answer-7: By using redundant infrastructure, autoscaling, load balancing, and multi-region deployments.

Answer-8: It involves managing low-cost, spare compute capacity that can be reclaimed by AWS at any time.

Answer-9: It refers to managing short-lived, cost-effective VMs that can be terminated by GCP when resources are needed elsewhere.

Answer-10: It includes provisioning, starting, stopping, updating, and decommissioning virtual machines as needed.

Answer-11: Azure Automation is a cloud-based automation and configuration service for managing resources across Azure and non-Azure environments.

Answer-12: A management service that helps you automatically apply patches, manage instances, and automate operational tasks.

Answer-13: A tool that provides centralized management of cloud resources and organizes them using folders and projects.

Answer-14: SLAs define the level of service expected and help guide resource allocation and availability.

Answer-15: Kubernetes automates deployment, scaling, and management of containerized applications and resources.

Answer-16: It involves maintaining the consistency of system settings and software configurations across environments.

Answer-17: Templates automate the creation of resources with predefined settings, saving time and reducing errors.

Answer-18: Reserved instances are a pricing option where resources are committed for a term in exchange for lower pricing.

Answer-19: Managing resources distributed across multiple cloud providers to avoid vendor lock-in and improve reliability.

Answer-20: Challenges include cost control, resource sprawl, performance optimization, and security.

Answer-21: Chargeback refers to assigning cloud costs to specific departments or teams based on resource usage.

Answer-22: Using automation, tagging, regular audits, and policies to manage resource creation and deletion.

Answer-23: Managing resources using policies that automate decisions about provisioning, security, and compliance.

Answer-24: By rightsizing resources, removing unused services, and setting usage alerts and automation.

Answer-25: Services where the provider handles infrastructure operations like backups, patching, and scaling.

Answer-26: A detailed list of all cloud resources in use, often generated by management tools for tracking and auditing.

Answer-27: It grants permissions to users based on their identity and assigned roles to control resource access.

Answer-28: Terraform is an open-source IaC tool used to define and provision cloud resources using code.

Answer-29: Ansible automates software provisioning, configuration management, and application deployment.

Answer-30: A service that helps you model and set up AWS resources using JSON or YAML templates.

Answer-31: A domain-specific language (DSL) for deploying Azure resources in a concise and readable format.

Answer-32: Right-sizing means adjusting resource sizes to meet actual usage without over- or under-provisioning.

Answer-33: Notifications triggered by thresholds or events to inform administrators of issues or anomalies.

Answer-34: Dashboards provide a visual representation of resource status, usage, costs, and performance.

Answer-35: A list of approved cloud services and configurations that users can request or provision.

Answer-36: It automates the transition of data between storage tiers and deletion based on policies and age.

Answer-37: Cloud resource management refers to the process of allocating, monitoring, and optimizing computing resources like storage, compute, and network in cloud environments.

Answer-38: It ensures optimal use of cloud resources, cost control, system performance, and service availability.

Answer-39: AWS CloudWatch, Azure Monitor, Google Operations Suite, Terraform, Ansible, and Kubernetes are common tools.

Answer-40: Autoscaling automatically adjusts the number of resources (e.g., VMs) based on load or performance metrics.

Answer-41: Tagging helps categorize and track resources for billing, auditing, and organizational clarity.

Answer-42: A resource group is a container that holds related resources for an Azure solution and allows management as a group.

Answer-43: It?s a feature that lets you organize and manage AWS resources that share common tags or attributes.

Answer-44: Quotas are limits set on the amount of cloud resources that can be used to prevent over-provisioning.

Answer-45: A resource policy defines permissions and restrictions on who can access or modify cloud resources.

Answer-46: IaC is managing and provisioning computing infrastructure using machine-readable configuration files.

Answer-47: They offer tools like AWS Cost Explorer, Azure Cost Management, and GCP Cost Tools to track and optimize spending.

Answer-48: Provisioning is the process of configuring and deploying cloud resources to meet specific requirements.

Answer-49: De-provisioning is the process of removing unused or unnecessary cloud resources to save costs.

Answer-50: Monitoring provides visibility into resource usage, performance, and health, enabling informed decisions.