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