Master ComptiaCloud+ Operations with our interactive study cards designed for effective learning. These flashcards use proven spaced repetition techniques to help you memorize key concepts, definitions, and facts. Perfect for students, professionals, and lifelong learners seeking to improve knowledge retention and ace exams through active recall practice.
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Day-to-day activities for maintaining monitoring and optimizing cloud infrastructure and services
Managing and provisioning infrastructure through machine-readable definition files
Terraform Ansible CloudFormation ARM templates and Puppet
Process of maintaining systems in a desired consistent state
Automated coordination and management of complex systems and services
Automation handles single tasks orchestration coordinates multiple automated tasks
Documented procedures for routine operations and troubleshooting tasks
Automated scripts that execute predefined procedures and workflows
Formal process for planning approving and implementing changes to cloud resources
Process of applying updates to systems applications and firmware
Continuous observation of cloud resources performance and availability
CPU utilization memory usage network throughput storage capacity and application response time
Tracking application behavior performance and user experience
Tracking health and performance of underlying cloud infrastructure components
Collecting logs from multiple sources into centralized location for analysis
CloudWatch Azure Monitor Google Cloud Monitoring Datadog and New Relic
Automatic notifications when monitored metrics exceed defined thresholds
Contract defining expected service availability and performance levels
Percentage of time a service is available and operational
SLA is agreement SLO is objective/target SLI is indicator/measurement
Process of responding to and resolving service disruptions
Average time taken to fix a failed system and restore service
Average time between system failures
Procedures for recovering systems and data after major disruption
Maximum acceptable time to restore service after disruption
Maximum acceptable data loss measured in time
Creating copies of data and systems for recovery purposes
Full backup incremental backup differential backup and snapshot
Point-in-time copy of storage volume or virtual machine state
Copying data to multiple locations for redundancy and disaster recovery
Ensuring systems remain operational with minimal downtime
Ability of system to continue operating despite component failures
Duplicate components or systems to prevent single points of failure
Distributing workload across multiple resources for performance and availability
Automatically adjusting resource capacity based on demand
Adding more instances of resources (scaling out)
Increasing capacity of existing resources (scaling up)
Strategies to reduce cloud spending while maintaining performance
Right-sizing reserved instances spot instances and removing unused resources
Matching resource allocation to actual usage requirements
Pre-purchased compute capacity at discounted rates for long-term use
Unused cloud capacity available at steep discounts but can be interrupted
Labeling cloud resources for organization tracking and cost allocation
Allocating cloud costs to specific departments or projects
Forecasting future resource needs based on trends and growth
Improving efficiency and responsiveness of cloud services
Storing frequently accessed data in fast-access storage for performance
Distributed network of servers delivering content from locations closer to users
Tuning database performance through indexing query optimization and caching
Automated pipeline for building testing and deploying code changes
Tracking changes to code configurations and infrastructure definitions
Ability to revert to previous version after failed deployment
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