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Monitoring, Logging, and Cost Management (GCP ACE) Flashcards
GCP Associate Cloud Engineer Flashcards
| Front | Back |
| How can you analyze historical logs in Google Cloud | By exporting logs to BigQuery for detailed queries and analysis |
| How can you archive logs in Google Cloud | By exporting them to Cloud Storage or BigQuery for long-term analysis |
| How can you create custom metrics in Cloud Monitoring | By using the Cloud Monitoring API to define and send custom data for analysis |
| How can you ensure log security in Google Cloud | By using Cloud IAM roles to manage access permissions for sensitive log data |
| How can you forecast costs in Google Cloud | By utilizing past billing data and simulation tools within the Cloud Billing reports |
| How can you manage quota utilization effectively | By monitoring quota dashboards and setting alerts for nearing limits |
| How can you monitor costs in Google Cloud | By using the Cloud Billing dashboard and creating budgets with cost alerts |
| How can you optimize resource costs automatically | By using Recommender to identify underused or misconfigured resources |
| How can you reduce logging costs in Google Cloud | By implementing exclusion filters to prevent irrelevant logs from being stored |
| How can you track the lifecycle of a resource in Cloud Logging | By analyzing creation and deletion logs |
| How can you visualize metrics in Cloud Monitoring | By creating dashboards that display charts and data from various resources |
| How do you integrate Cloud Logging with external tools | By using the Logging API or exporting logs to supported third-party tools |
| How does Cloud Monitoring collect metrics | It gathers metrics from Google Cloud services, third-party applications, and external systems through agents and APIs |
| How does Cloud Monitoring enable uptime monitoring | It tracks the availability of services and sends alerts for downtime |
| What are the benefits of using labels in Google Cloud for cost management | They allow categorization and tracking of resource usage by teams or projects |
| What is a billing export in Google Cloud | It provides detailed billing data exported to BigQuery for custom analysis |
| What is a log-based metric in Cloud Logging | A metric generated from specific patterns or occurrences in logs |
| What is Cloud Logging | A service to store, search, analyze, and alert on log data from Google Cloud resources |
| What is Cloud Monitoring | A service to observe and analyze metrics across applications and infrastructure in Google Cloud |
| What is the difference between Cloud Logging and Cloud Monitoring | Logging focuses on capturing and analyzing log data, while Monitoring emphasizes tracking metrics and resource health |
| What is the function of Distributed Tracing in performance monitoring | To track requests as they flow through services, identifying bottlenecks |
| What is the importance of setting budgets in cost management | It helps track spending and prevents unexpected charges |
| What is the purpose of Alerting in Cloud Monitoring | To notify users when predefined conditions on monitored metrics are met |
| What is the purpose of Cloud Identity and Access Management with monitoring tools | To control who can view, edit, or manage monitoring configurations |
| What is the purpose of filters in Cloud Logging | To refine search results by specifying conditions that logs must meet |
| What is the purpose of Log Router in Cloud Logging | To process log entries and route them based on rules to destinations like Cloud Storage or BigQuery |
| What is the purpose of SLOs in Cloud Monitoring | Service Level Objectives help define and measure the expected performance and reliability of services |
| What is the purpose of using BigQuery with billing data | To perform advanced custom analytics on cost-related data across services |
| What is the role of Cloud Monitoring in performance tuning | It helps identify bottlenecks and optimize resource usage |
| What is the role of Cloud Monitoring’s uptime checks | To proactively verify that services are reachable and functioning properly |
| What is the role of metrics scopes in Cloud Monitoring | They allow you to aggregate metrics across multiple projects |
| What is the significance of real-time monitoring | It enables immediate detection of issues to minimize downtime |
| What is Trace in Google Cloud | A tool to analyze latency and performance issues in distributed applications |
| What type of data is stored in Cloud Logging | Events generated by applications, user activity, and system processes in Google Cloud |
| Why is aggregated logging important | It centralizes logs for better traceability and debugging across distributed systems |
Front
What is the role of metrics scopes in Cloud Monitoring
Click the card to flip
Back
They allow you to aggregate metrics across multiple projects
Front
How do you integrate Cloud Logging with external tools
Back
By using the Logging API or exporting logs to supported third-party tools
Front
What is Cloud Monitoring
Back
A service to observe and analyze metrics across applications and infrastructure in Google Cloud
Front
What is the purpose of Cloud Identity and Access Management with monitoring tools
Back
To control who can view, edit, or manage monitoring configurations
Front
How can you track the lifecycle of a resource in Cloud Logging
Back
By analyzing creation and deletion logs
Front
How can you forecast costs in Google Cloud
Back
By utilizing past billing data and simulation tools within the Cloud Billing reports
Front
What is Cloud Logging
Back
A service to store, search, analyze, and alert on log data from Google Cloud resources
Front
How can you analyze historical logs in Google Cloud
Back
By exporting logs to BigQuery for detailed queries and analysis
Front
What are the benefits of using labels in Google Cloud for cost management
Back
They allow categorization and tracking of resource usage by teams or projects
Front
What is the importance of setting budgets in cost management
Back
It helps track spending and prevents unexpected charges
Front
What is the role of Cloud Monitoring in performance tuning
Back
It helps identify bottlenecks and optimize resource usage
Front
How can you archive logs in Google Cloud
Back
By exporting them to Cloud Storage or BigQuery for long-term analysis
Front
What is the purpose of SLOs in Cloud Monitoring
Back
Service Level Objectives help define and measure the expected performance and reliability of services
Front
How can you create custom metrics in Cloud Monitoring
Back
By using the Cloud Monitoring API to define and send custom data for analysis
Front
How can you manage quota utilization effectively
Back
By monitoring quota dashboards and setting alerts for nearing limits
Front
How does Cloud Monitoring enable uptime monitoring
Back
It tracks the availability of services and sends alerts for downtime
Front
What is a billing export in Google Cloud
Back
It provides detailed billing data exported to BigQuery for custom analysis
Front
What is Trace in Google Cloud
Back
A tool to analyze latency and performance issues in distributed applications
Front
Why is aggregated logging important
Back
It centralizes logs for better traceability and debugging across distributed systems
Front
What is the purpose of Log Router in Cloud Logging
Back
To process log entries and route them based on rules to destinations like Cloud Storage or BigQuery
Front
How can you visualize metrics in Cloud Monitoring
Back
By creating dashboards that display charts and data from various resources
Front
How can you optimize resource costs automatically
Back
By using Recommender to identify underused or misconfigured resources
Front
How can you reduce logging costs in Google Cloud
Back
By implementing exclusion filters to prevent irrelevant logs from being stored
Front
What is the purpose of using BigQuery with billing data
Back
To perform advanced custom analytics on cost-related data across services
Front
What is the purpose of Alerting in Cloud Monitoring
Back
To notify users when predefined conditions on monitored metrics are met
Front
What is the purpose of filters in Cloud Logging
Back
To refine search results by specifying conditions that logs must meet
Front
How can you monitor costs in Google Cloud
Back
By using the Cloud Billing dashboard and creating budgets with cost alerts
Front
What is the difference between Cloud Logging and Cloud Monitoring
Back
Logging focuses on capturing and analyzing log data, while Monitoring emphasizes tracking metrics and resource health
Front
What is the role of Cloud Monitoring’s uptime checks
Back
To proactively verify that services are reachable and functioning properly
Front
What type of data is stored in Cloud Logging
Back
Events generated by applications, user activity, and system processes in Google Cloud
Front
How can you ensure log security in Google Cloud
Back
By using Cloud IAM roles to manage access permissions for sensitive log data
Front
What is the function of Distributed Tracing in performance monitoring
Back
To track requests as they flow through services, identifying bottlenecks
Front
How does Cloud Monitoring collect metrics
Back
It gathers metrics from Google Cloud services, third-party applications, and external systems through agents and APIs
Front
What is a log-based metric in Cloud Logging
Back
A metric generated from specific patterns or occurrences in logs
Front
What is the significance of real-time monitoring
Back
It enables immediate detection of issues to minimize downtime
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This deck highlights tools and techniques like Cloud Monitoring, Cloud Logging, and cost optimization strategies in Google Cloud.