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Monitoring and Feedback Loops Flashcards
Microsoft DevOps Engineer Expert AZ-400 Flashcards
| Front | Back |
| How can anomaly detection improve monitoring? | It identifies deviations from normal patterns, helping to predict and mitigate potential system issues |
| How can dashboards help in a monitoring solution? | They provide a visual and real-time overview of system performance and health |
| How can monitoring improve capacity planning? | By analyzing historical trends to forecast future resource needs and avoid over-provisioning or under-provisioning |
| How can you reduce alert fatigue? | By tuning thresholds, grouping related alerts, and suppressing low-priority notifications |
| How do correlation IDs assist in debugging distributed systems? | They allow tracing a single transaction or request across multiple systems/components |
| How do logs differ from metrics in monitoring systems? | Logs are detailed records of events or transactions while metrics are numerical representations of system performance over time |
| How do monitoring and feedback loops impact incident resolution? | They enable faster detection, diagnosis, and response to system issues |
| In Azure Monitor | what is the benefit of action groups?,They allow routing alerts to email, SMS, or other notification channels |
| What are the benefits of distributed tracing in microservices architectures? | It helps trace and troubleshoot complex user requests across multiple services |
| What data source is critical for monitoring application dependencies? | Distributed traces collected from application transactions |
| What is a feedback loop in DevOps? | A process where monitoring data is used to improve systems, deployments, and decision-making |
| What is a good practice when setting up alerts? | Define thresholds and actions based on business impact to minimize noise and maximize relevance |
| What is a key benefit of integrating monitoring with a ticketing system? | It enables automatic creation and tracking of incident resolution tasks |
| What is a key feature of Azure Monitor? | It collects, analyzes, and acts on telemetry data from cloud and on-premises environments |
| What is a Service Level Agreement (SLA) and why is monitoring tied to it? | An SLA defines expected service performance, and monitoring ensures compliance with those expectations |
| What is an example of a proactive measure enabled by monitoring? | Scaling resources up or down based on forecasted system demand |
| What is application performance monitoring (APM) focused on? | Tracking metrics like response time, error rates, and load times to optimize user experience |
| What is dynamic threshold detection in monitoring systems? | It automatically adjusts expected performance thresholds based on historical data |
| What is log retention and why is it important? | It is the practice of storing log data for a specified period to support auditing, troubleshooting, and compliance |
| What is one advantage of leveraging Azure Application Insights? | It helps developers monitor application performance and identify bottlenecks |
| What is synthetic monitoring? | It simulates user interactions with an application to detect performance or availability issues |
| What is the benefit of tagging resources for monitoring? | It improves the organization, categorization, and management of alerts and data across systems |
| What is the difference between reactive and proactive monitoring? | Reactive identifies issues after they occur, while proactive predicts and prevents issues before they happen |
| What is the function of Azure Monitor Autoscale? | It allows automatic adjustments of resources based on custom metrics or performance thresholds |
| What is the primary purpose of monitoring solutions in DevOps? | To gain insights into system performance and health to ensure reliability and optimize operations |
| What is the primary role of metrics in monitoring systems? | To provide real-time numerical data about performance, resource usage, and system health |
| What is the purpose of a feedback loop in deployment pipelines? | To continuously improve releases by using telemetry and monitoring data |
| What is the purpose of dependency monitoring in applications? | It helps identify issues or bottlenecks in external services or systems the application relies on |
| What is the purpose of health probes in monitoring? | They check the availability and responsiveness of applications or services |
| What is the role of a runbook in incident management? | It provides predefined steps to resolve specific issues or alerts in a systematic manner |
| What is the significance of SLIs (Service Level Indicators) in monitoring? | They are specific metrics used to measure the performance of a service against an SLA or SLO |
| What type of data can Azure Monitor collect from virtual machines? | Performance counters, event logs, and diagnostic information |
| When should monitoring alerts be evaluated? | Continuously and in real-time to ensure timely action |
| When should you escalate an alert? | When the issue exceeds the scope of the current team's ability to resolve or requires higher-level approval |
| When should you use a custom metric in monitoring? | When built-in metrics do not provide the needed insights for specific application or business scenarios |
| Which Azure Monitor component is used to query and analyze log data? | Azure Log Analytics |
| Why are alerts critical in monitoring systems? | They notify teams of potential issues or anomalies requiring immediate attention |
| Why is integrating monitoring into CI/CD pipelines essential? | It helps teams detect build, integration, and deployment issues early |
| Why is log centralization important in monitoring? | It simplifies correlating events and identifying root causes across systems |
| Why should teams perform root cause analysis after incidents? | To identify underlying causes and implement solutions to prevent recurrence |
This deck includes strategies for implementing monitoring solutions, setting up alerts, and utilizing Azure Monitor for DevOps feedback loops.