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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 |
This deck highlights tools and techniques like Cloud Monitoring, Cloud Logging, and cost optimization strategies in Google Cloud.