PCDE Implementing Service Monitoring Strategies — All Questions With Answers

Question 1mediummultiple choice

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A DevOps engineer wants to monitor the CPU utilization of a Compute Engine instance and receive an alert if it exceeds 80% for more than 5 minutes. Which type of metric should be used in the alerting condition?

Question 2hardmultiple choice

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An application running on GKE emits custom metrics via OpenTelemetry. The metrics need to be ingested into Cloud Monitoring and visualized in a dashboard. Which approach should the engineer use?

Question 3easymultiple choice

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Which Google Cloud service provides continuous, low-overhead profiling of CPU and memory usage to identify performance bottlenecks in production?

Question 4mediummultiple choice

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A team needs to create an alert that triggers when the 99th percentile latency of a service exceeds 500ms for at least 10 minutes. Which alerting configuration is correct?

Question 5hardmultiple choice

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An engineer wants to create a dashboard that shows the number of HTTP 5xx errors per minute from an application that writes structured logs. The application logs are in Cloud Logging. Which approach should be used?

Question 6mediummultiple choice

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Which notification channel is supported by Cloud Monitoring for alerting without additional third-party integrations?

Question 7easymultiple choice

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What is the primary purpose of including a runbook URL in an alert policy's documentation?

Question 8mediummultiple choice

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A developer needs to manually instrument a Go application with distributed tracing and send traces to Cloud Trace. Which approach should they use?

Question 9mediummultiple choice

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A company wants to visualize request latency distribution across all services using a heatmap. Which Cloud Monitoring chart type should be used?

Question 10hardmultiple choice

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An application running on Cloud Run is automatically instrumented with Cloud Trace, but the trace sampling rate is too high, causing excessive costs. How can the engineer reduce the sampling rate?

Question 11easymultiple choice

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Which of the following is a key benefit of using structured logging in Cloud Logging?

Question 12mediummultiple choice

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A DevOps team wants to alert when a Compute Engine instance is unreachable for 5 minutes. Which alerting condition type should be used?

Question 13mediummulti select

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A company is designing a monitoring strategy for a microservices application on Google Kubernetes Engine. They need to capture traces, metrics, and logs using a vendor-neutral approach. Which TWO components should they consider? (Choose 2)

Question 14hardmulti select

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An engineer is configuring an alerting policy for a latency metric. They want to reduce noise by requiring that the condition be met for at least 3 out of the last 5 alignment periods. Which settings must be adjusted? (Choose 3)

Question 15mediummulti select

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A team wants to use Cloud Profiler to identify CPU hot functions in a production service. Which TWO statements about Cloud Profiler are correct? (Choose 2)

Question 16easymultiple choice

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A DevOps engineer wants to create an alerting policy that fires when the 99th percentile of request latency exceeds 2000 ms for any 5-minute window. Which metric type and aggregation should they use?

Question 17mediummultiple choice

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An application running on GKE needs to send custom metrics to Cloud Monitoring. The team wants to use a vendor-neutral instrumentation approach that also supports traces and logs. Which solution should they choose?

Question 18hardmultiple choice

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A team wants to create a log-based metric that counts ERROR log entries grouped by the service name extracted from a JSON field. The log entries are structured JSON with a 'service' key. Which type of log-based metric should they create?

Question 19mediummultiple choice

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A company uses Cloud Logging and wants to receive real-time notifications when the number of 5xx errors exceeds 100 per minute. They need to set up an alerting policy. Which metric type and condition should they use?

Question 20easymultiple choice

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Which Cloud Monitoring dashboard chart type is best suited to show the distribution of request latencies across multiple services over time?

Question 21mediummultiple choice

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A DevOps engineer needs to create a dashboard as code for Cloud Monitoring. They want to version-control the dashboard definition. Which method should they use?

Question 22hardmultiple choice

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An application running on Cloud Run is experiencing high tail latency. The team wants to visualize which functions are consuming the most CPU time. Which Google Cloud tool should they use and how should they instrument the application?

Question 23mediummultiple choice

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An engineer wants to automatically group similar error messages from an application and track trends, with the ability to link from an error to the corresponding log entries and trace. Which Google Cloud service should they use?

Question 24mediummultiple choice

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A company uses Cloud Profiler to analyze CPU usage of a Java application running on GKE. They see a function consuming 40% of CPU time. To investigate further, they want to see the exact line numbers in the source code. What should they do?

Question 25easymultiple choice

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Which notification channel can be used with Cloud Monitoring to trigger a custom workflow in Cloud Functions when an alert fires?

Question 26hardmultiple choice

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An application is emitting structured JSON logs that include a 'request_id' field used for correlation. The team wants to enable log correlation with Cloud Trace so they can navigate from a log entry to its trace. What must they include in the log entry?

Question 27mediummultiple choice

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A company wants to set up an alert that fires if any Compute Engine instance has a CPU utilization above 80% for more than 5 minutes. They have thousands of instances. Which alerting condition type and configuration is most efficient?

Question 28mediummulti select

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A DevOps team is implementing distributed tracing for a microservices application on GKE. They want to ensure traces are exported to Cloud Trace with minimal overhead. Which TWO approaches should they consider? (Choose 2)

Question 29hardmulti select

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An organization wants to monitor a batch processing job that runs daily on Compute Engine. They need to be alerted if the job fails to produce output within 24 hours. Which THREE components should they use? (Choose 3)

Question 30mediummulti select

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A team wants to use OpenTelemetry to collect metrics, traces, and logs from their applications running on GKE. They plan to use the OTel Collector. Which TWO components should they configure in the Collector pipeline? (Choose 2)

Question 31easymultiple choice

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A DevOps engineer wants to create a custom metric in Cloud Monitoring that represents the number of requests processed by a service, measured from the start of each request to its completion. The metric should increment by 1 for each request and must be queryable for the count in the last 24 hours. Which metric kind would best suit this requirement?

Question 32mediummultiple choice

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An application running on Google Kubernetes Engine (GKE) emits structured logs in JSON format. The DevOps team wants to count the number of log entries that contain a specific error code (e.g., 'error_code': 500) in the last hour and use that count to trigger an alert if it exceeds a threshold. What is the most efficient way to achieve this?

Question 33hardmultiple choice

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You are designing a distributed tracing strategy for a multi-service application deployed on Cloud Run and GKE. You need to ensure that all traces are captured with 100% sampling for the first 10 minutes after a new deployment, and then reduce to 10% sampling to control costs. Which approach should you use?

Question 34mediummultiple choice

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A DevOps engineer wants to visualize the 99th percentile latency of an HTTP endpoint over the past week using Cloud Monitoring dashboards. The metric is available as a distribution from Cloud Trace. Which chart type should they use to display this percentile over time?

Question 35hardmultiple choice

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You need to monitor a critical batch job that runs daily on Compute Engine. If the job does not complete within 2 hours, you want to be paged via PagerDuty. The job emits a custom metric 'batch_duration' as a GAUGE that records the duration of the last completed run. What alerting policy condition should you use?

Question 36easymultiple choice

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A company wants to use Cloud Monitoring dashboards to display real-time metrics for their application, but they also need to version control the dashboard configurations. Which approach should they use?

Question 37mediummultiple choice

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Your team uses PagerDuty for incident notifications. You need to configure Cloud Monitoring to send alerts to PagerDuty. Which notification channel type should you select?

Question 38mediummultiple choice

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An engineer needs to troubleshoot a performance issue where a specific function in a Go application is consuming excessive CPU. They want to identify the exact lines of code causing the bottleneck with minimal overhead. Which Google Cloud tool should they use?

Question 39easymultiple choice

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A DevOps engineer wants to create a dashboard that shows the number of 5xx errors per service over time. The errors are logged in Cloud Logging. What is the most efficient way to create this dashboard?

Question 40mediummultiple choice

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You have a Cloud Monitoring alerting policy that triggers when CPU usage exceeds 80% for 5 minutes. You want to add documentation to the alert that includes a link to a runbook and labels indicating the affected service. How can you achieve this?

Question 41mediummultiple choice

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A team is using OpenTelemetry to instrument their microservices and wants to export traces to Cloud Trace. They have deployed the OpenTelemetry Collector as a DaemonSet on GKE. What configuration is needed on the Collector to send traces to Cloud Trace?

Question 42hardmultiple choice

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Your organization mandates that all application logs must be structured JSON and include a trace ID for correlation with Cloud Trace. Developers are using various logging libraries. Which approach ensures consistent structured logging across all services with minimal code changes?

Question 43mediummulti select

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A DevOps team needs to set up alerting for a critical application that runs on Compute Engine. They want to be notified if the application process crashes (i.e., stops sending heartbeats) for more than 5 minutes. The application emits a custom metric 'app_heartbeat' as a GAUGE with value 1 every 60 seconds. Which TWO configurations should they use? (Choose 2)

Question 44hardmulti select

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You are designing a monitoring strategy for a hybrid cloud environment where on-premises services send metrics to Cloud Monitoring via the Monitoring API. The on-premises network has limited outbound connectivity and can only reach Google Cloud through a few static IPs. You need to ensure that custom metrics are ingested reliably and cost-effectively. Which THREE actions should you take? (Choose 3)

Question 45easymulti select

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A company wants to use Cloud Logging to monitor for a specific error pattern in their application logs. They want to create a metric that counts occurrences of the error and then set up an alert when the count exceeds 100 in 5 minutes. Which TWO components are required? (Choose 2)

Question 46mediummultiple choice

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You are configuring an alerting policy in Cloud Monitoring to notify when the 99th percentile latency of your application exceeds 500 ms for 5 minutes. Which metric type and reducer should you use?

Question 47mediummultiple choice

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A DevOps team wants to create a custom metric in Cloud Monitoring that counts the number of failed login attempts per user per minute. This metric should be of type DELTA. What is the correct approach?

Question 48hardmultiple choice

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You need to set up an alert that fires when the total number of errors in a specific Cloud Logging log view exceeds 10 in any 5-minute window over the last 1 hour. Which combination of alerting policy conditions and log-based metric is appropriate?

Question 49easymultiple choice

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A team wants to visualize real-time CPU utilization across a fleet of Compute Engine instances in a single dashboard. Which chart type in Cloud Monitoring is most appropriate?

Question 50mediummultiple choice

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Your application uses structured logging in JSON format. You want to ensure that each log entry is automatically correlated with the corresponding trace in Cloud Trace. Which field must be included in the JSON payload?

Question 51hardmultiple choice

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A company uses Cloud Profiler to identify performance bottlenecks. They notice that the CPU profile shows a function consuming high CPU, but they want to see the corresponding source code lines. What must they enable?

Question 52mediummultiple choice

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You need to set up a notification channel for alerting that triggers a PagerDuty incident. The PagerDuty integration key is 'abc123'. What is the correct command to create this channel?

Question 53easymultiple choice

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An application running on Google Kubernetes Engine (GKE) uses OpenTelemetry SDK to export traces. Which Google Cloud service should receive these traces?

Question 54hardmultiple choice

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You are configuring a dashboard-as-code using the Cloud Monitoring API. You want to create a dashboard that shows a heatmap of request latency distribution across all services. Which chart type and aggregation should you use?

Question 55mediummultiple choice

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You want to use OpenTelemetry Collector to send traces from an on-premises application to Cloud Trace. Which exporter should you configure in the Collector pipeline?

Question 56easymultiple choice

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Error Reporting automatically groups similar exceptions. Which Google Cloud services does Error Reporting integrate with to provide additional context?

Question 57mediummultiple choice

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You need to set up an alert that fires when any of your Compute Engine instances has been down (no metric data) for more than 10 minutes. Which condition type should you use?

Question 58mediummulti select

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Your team wants to collect custom metrics from a .NET application running on Compute Engine and send them to Cloud Monitoring. Which TWO approaches are valid?

Question 59hardmulti select

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A global application uses Cloud Trace to collect distributed traces. The current sampling rate of 100% is causing high costs and storage usage. The team wants to reduce sampling while still capturing representative data. Which THREE strategies should they consider?

Question 60easymulti select

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You need to send alert notifications to a Slack channel. Which TWO components are required?

Question 61easymultiple choice

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You need to create a custom metric to monitor the number of user logins per minute. Which metric kind should you use?

Question 62mediummultiple choice

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Your team uses Cloud Monitoring to set up an alerting policy for high CPU utilization. You want the policy to trigger only if CPU usage exceeds 80% for at least 5 minutes. Which condition configuration should you use?

Question 63hardmultiple choice

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An application running on GKE uses OpenTelemetry for instrumentation. You need to export traces to Cloud Trace and custom metrics to Cloud Monitoring. Which approach is most efficient?

Question 64mediummultiple choice

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You are designing a dashboard for application latency. You want to visualize the distribution of latency values across different services using a chart that shows percentiles over time. Which chart type should you use?

Question 65mediummultiple choice

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You need to monitor the number of ERROR-level log entries in Cloud Logging and trigger an alert when the count exceeds 100 in 5 minutes. Which approach should you use?

Question 66hardmultiple choice

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A microservice running on Cloud Run is logging structured JSON payloads. You want to correlate logs with distributed traces using Cloud Trace. Which field should you include in the log entry to enable automatic correlation?

Question 67easymultiple choice

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You want to continuously profile the CPU usage of a production application running on Compute Engine to identify performance bottlenecks. Which Google Cloud service should you use?

Question 68mediummultiple choice

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You need to set up a notification channel for alerts that sends messages to a custom internal incident management system via a webhook. Which notification channel type should you use?

Question 69mediummultiple choice

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Your team has an alerting policy that fires frequently but the on-call engineer has difficulty understanding the impact. You want to add contextual information such as a runbook URL and severity label. What should you do?

Question 70easymultiple choice

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You want to automatically group and track similar errors in your application logs, and see trends over time. Which Google Cloud service should you use?

Question 71hardmultiple choice

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Your team is using Cloud Monitoring dashboards to monitor a multi-service architecture. You want to manage dashboards as code using Terraform. Which approach should you use to create a dashboard?

Question 72mediummultiple choice

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You want to visualize the 99th percentile latency of a service on a dashboard. The metric is a distribution metric. Which reducer should you use in the chart configuration?

Question 73mediummulti select

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You are designing a monitoring strategy for a GKE cluster. You need to collect application metrics, traces, and logs in a vendor-neutral way, and export them to Google Cloud. Which TWO components should you use? (Choose two.)

Question 74hardmulti select

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You need to reduce the cost of Cloud Monitoring custom metrics while retaining the ability to create alerts on those metrics. Which THREE actions should you take? (Choose three.)

Question 75mediummulti select

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You are investigating a performance issue in a distributed application. You want to identify the services causing high latency. Which TWO tools should you use together? (Choose two.)

Question 76easymultiple choice

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You need to create a custom metric in Cloud Monitoring that measures the number of HTTP requests to your application each second. Which metric type should you use?

Question 77mediummultiple choice

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Your team uses Cloud Monitoring to alert on high CPU usage for Compute Engine instances. You want to be notified via email and Slack. You have created a notification channel for email. What must you do to also notify Slack?

Question 78hardmultiple choice

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You are configuring a log-based metric that counts error log entries with severity ERROR. You need to set up an alert that fires when the count exceeds 100 in a 5-minute window. Which alert condition type and reducer should you use?

Question 79mediummultiple choice

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Your application runs on Google Kubernetes Engine (GKE) and emits traces using the OpenTelemetry SDK. You want to export these traces to Cloud Trace. Which configuration is required?

Question 80hardmultiple choice

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You want to create a dashboard-as-code for Cloud Monitoring using the API. You have a JSON representation of the dashboard. Which command correctly creates the dashboard?

Question 81easymultiple choice

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Which Cloud Monitoring feature allows you to group log entries from the same request across multiple services using a common identifier?

Question 82mediummultiple choice

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You are using Cloud Profiler to identify performance bottlenecks. You notice a function that consumes significant CPU time. However, the profiler shows only a small percentage of samples in that function. What is the most likely cause?

Question 83easymulti select

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You need to create an alerting policy in Cloud Monitoring for a custom metric. Which THREE components must be defined? (Select 3)

Question 84mediummulti select

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An application is emitting custom metrics using OpenTelemetry. You want to collect and export these metrics to Cloud Monitoring. Which TWO components are required? (Select 2)

Question 85mediummulti select

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You are building a dashboard in Cloud Monitoring to display CPU utilization of Compute Engine instances. Which TWO chart types are appropriate for showing trends over time? (Select 2)

Question 86hardmulti select

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You need to set up a logs-based alert that triggers when the 99th percentile of request latency exceeds 500ms in a 10-minute window. You create a logs-based distribution metric. Which THREE alert conditions are needed? (Select 3)

Question 87easymulti select

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Which TWO metrics are examples of GAUGE metric types? (Select 2)

Question 88hardmulti select

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You are setting up structured logging for an application running on Compute Engine. Your logs should include trace context and severity. Which TWO fields should you include in the JSON payload to enable correlation with Cloud Trace? (Select 2)

Question 89mediummulti select

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You want to use Error Reporting to monitor exceptions in your application. Which TWO prerequisites must be met? (Select 2)

Question 1mediummultiple choice

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A DevOps engineer wants to monitor the CPU utilization of a Compute Engine instance and receive an alert if it exceeds 80% for more than 5 minutes. Which type of metric should be used in the alerting condition?

Question 2hardmultiple choice

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An application running on GKE emits custom metrics via OpenTelemetry. The metrics need to be ingested into Cloud Monitoring and visualized in a dashboard. Which approach should the engineer use?

Question 3easymultiple choice

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Which Google Cloud service provides continuous, low-overhead profiling of CPU and memory usage to identify performance bottlenecks in production?

Question 4mediummultiple choice

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A team needs to create an alert that triggers when the 99th percentile latency of a service exceeds 500ms for at least 10 minutes. Which alerting configuration is correct?

Question 5hardmultiple choice

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An engineer wants to create a dashboard that shows the number of HTTP 5xx errors per minute from an application that writes structured logs. The application logs are in Cloud Logging. Which approach should be used?

Question 6mediummultiple choice

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Which notification channel is supported by Cloud Monitoring for alerting without additional third-party integrations?

Question 7easymultiple choice

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What is the primary purpose of including a runbook URL in an alert policy's documentation?

Question 8mediummultiple choice

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A developer needs to manually instrument a Go application with distributed tracing and send traces to Cloud Trace. Which approach should they use?

Question 9mediummultiple choice

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A company wants to visualize request latency distribution across all services using a heatmap. Which Cloud Monitoring chart type should be used?

Question 10hardmultiple choice

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An application running on Cloud Run is automatically instrumented with Cloud Trace, but the trace sampling rate is too high, causing excessive costs. How can the engineer reduce the sampling rate?

Question 11easymultiple choice

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Which of the following is a key benefit of using structured logging in Cloud Logging?

Question 12mediummultiple choice

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A DevOps team wants to alert when a Compute Engine instance is unreachable for 5 minutes. Which alerting condition type should be used?

Question 13mediummulti select

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A company is designing a monitoring strategy for a microservices application on Google Kubernetes Engine. They need to capture traces, metrics, and logs using a vendor-neutral approach. Which TWO components should they consider? (Choose 2)

Question 14hardmulti select

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An engineer is configuring an alerting policy for a latency metric. They want to reduce noise by requiring that the condition be met for at least 3 out of the last 5 alignment periods. Which settings must be adjusted? (Choose 3)

Question 15mediummulti select

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A team wants to use Cloud Profiler to identify CPU hot functions in a production service. Which TWO statements about Cloud Profiler are correct? (Choose 2)

Question 16easymultiple choice

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A DevOps engineer wants to create an alerting policy that fires when the 99th percentile of request latency exceeds 2000 ms for any 5-minute window. Which metric type and aggregation should they use?

Question 17mediummultiple choice

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An application running on GKE needs to send custom metrics to Cloud Monitoring. The team wants to use a vendor-neutral instrumentation approach that also supports traces and logs. Which solution should they choose?

Question 18hardmultiple choice

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A team wants to create a log-based metric that counts ERROR log entries grouped by the service name extracted from a JSON field. The log entries are structured JSON with a 'service' key. Which type of log-based metric should they create?

Question 19mediummultiple choice

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A company uses Cloud Logging and wants to receive real-time notifications when the number of 5xx errors exceeds 100 per minute. They need to set up an alerting policy. Which metric type and condition should they use?

Question 20easymultiple choice

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Which Cloud Monitoring dashboard chart type is best suited to show the distribution of request latencies across multiple services over time?

Question 21mediummultiple choice

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A DevOps engineer needs to create a dashboard as code for Cloud Monitoring. They want to version-control the dashboard definition. Which method should they use?

Question 22hardmultiple choice

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An application running on Cloud Run is experiencing high tail latency. The team wants to visualize which functions are consuming the most CPU time. Which Google Cloud tool should they use and how should they instrument the application?

Question 23mediummultiple choice

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An engineer wants to automatically group similar error messages from an application and track trends, with the ability to link from an error to the corresponding log entries and trace. Which Google Cloud service should they use?

Question 24mediummultiple choice

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A company uses Cloud Profiler to analyze CPU usage of a Java application running on GKE. They see a function consuming 40% of CPU time. To investigate further, they want to see the exact line numbers in the source code. What should they do?

Question 25easymultiple choice

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Which notification channel can be used with Cloud Monitoring to trigger a custom workflow in Cloud Functions when an alert fires?

Question 26hardmultiple choice

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An application is emitting structured JSON logs that include a 'request_id' field used for correlation. The team wants to enable log correlation with Cloud Trace so they can navigate from a log entry to its trace. What must they include in the log entry?

Question 27mediummultiple choice

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A company wants to set up an alert that fires if any Compute Engine instance has a CPU utilization above 80% for more than 5 minutes. They have thousands of instances. Which alerting condition type and configuration is most efficient?

Question 28mediummulti select

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A DevOps team is implementing distributed tracing for a microservices application on GKE. They want to ensure traces are exported to Cloud Trace with minimal overhead. Which TWO approaches should they consider? (Choose 2)

Question 29hardmulti select

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An organization wants to monitor a batch processing job that runs daily on Compute Engine. They need to be alerted if the job fails to produce output within 24 hours. Which THREE components should they use? (Choose 3)

Question 30mediummulti select

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A team wants to use OpenTelemetry to collect metrics, traces, and logs from their applications running on GKE. They plan to use the OTel Collector. Which TWO components should they configure in the Collector pipeline? (Choose 2)

Question 31easymultiple choice

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A DevOps engineer wants to create a custom metric in Cloud Monitoring that represents the number of requests processed by a service, measured from the start of each request to its completion. The metric should increment by 1 for each request and must be queryable for the count in the last 24 hours. Which metric kind would best suit this requirement?

Question 32mediummultiple choice

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An application running on Google Kubernetes Engine (GKE) emits structured logs in JSON format. The DevOps team wants to count the number of log entries that contain a specific error code (e.g., 'error_code': 500) in the last hour and use that count to trigger an alert if it exceeds a threshold. What is the most efficient way to achieve this?

Question 33hardmultiple choice

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You are designing a distributed tracing strategy for a multi-service application deployed on Cloud Run and GKE. You need to ensure that all traces are captured with 100% sampling for the first 10 minutes after a new deployment, and then reduce to 10% sampling to control costs. Which approach should you use?

Question 34mediummultiple choice

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A DevOps engineer wants to visualize the 99th percentile latency of an HTTP endpoint over the past week using Cloud Monitoring dashboards. The metric is available as a distribution from Cloud Trace. Which chart type should they use to display this percentile over time?

Question 35hardmultiple choice

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You need to monitor a critical batch job that runs daily on Compute Engine. If the job does not complete within 2 hours, you want to be paged via PagerDuty. The job emits a custom metric 'batch_duration' as a GAUGE that records the duration of the last completed run. What alerting policy condition should you use?

Question 36easymultiple choice

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A company wants to use Cloud Monitoring dashboards to display real-time metrics for their application, but they also need to version control the dashboard configurations. Which approach should they use?

Question 37mediummultiple choice

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Your team uses PagerDuty for incident notifications. You need to configure Cloud Monitoring to send alerts to PagerDuty. Which notification channel type should you select?

Question 38mediummultiple choice

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An engineer needs to troubleshoot a performance issue where a specific function in a Go application is consuming excessive CPU. They want to identify the exact lines of code causing the bottleneck with minimal overhead. Which Google Cloud tool should they use?

Question 39easymultiple choice

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A DevOps engineer wants to create a dashboard that shows the number of 5xx errors per service over time. The errors are logged in Cloud Logging. What is the most efficient way to create this dashboard?

Question 40mediummultiple choice

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You have a Cloud Monitoring alerting policy that triggers when CPU usage exceeds 80% for 5 minutes. You want to add documentation to the alert that includes a link to a runbook and labels indicating the affected service. How can you achieve this?

Question 41mediummultiple choice

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A team is using OpenTelemetry to instrument their microservices and wants to export traces to Cloud Trace. They have deployed the OpenTelemetry Collector as a DaemonSet on GKE. What configuration is needed on the Collector to send traces to Cloud Trace?

Question 42hardmultiple choice

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Your organization mandates that all application logs must be structured JSON and include a trace ID for correlation with Cloud Trace. Developers are using various logging libraries. Which approach ensures consistent structured logging across all services with minimal code changes?

Question 43mediummulti select

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A DevOps team needs to set up alerting for a critical application that runs on Compute Engine. They want to be notified if the application process crashes (i.e., stops sending heartbeats) for more than 5 minutes. The application emits a custom metric 'app_heartbeat' as a GAUGE with value 1 every 60 seconds. Which TWO configurations should they use? (Choose 2)

Question 44hardmulti select

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You are designing a monitoring strategy for a hybrid cloud environment where on-premises services send metrics to Cloud Monitoring via the Monitoring API. The on-premises network has limited outbound connectivity and can only reach Google Cloud through a few static IPs. You need to ensure that custom metrics are ingested reliably and cost-effectively. Which THREE actions should you take? (Choose 3)

Question 45easymulti select

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A company wants to use Cloud Logging to monitor for a specific error pattern in their application logs. They want to create a metric that counts occurrences of the error and then set up an alert when the count exceeds 100 in 5 minutes. Which TWO components are required? (Choose 2)

Question 46mediummultiple choice

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You are configuring an alerting policy in Cloud Monitoring to notify when the 99th percentile latency of your application exceeds 500 ms for 5 minutes. Which metric type and reducer should you use?

Question 47mediummultiple choice

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A DevOps team wants to create a custom metric in Cloud Monitoring that counts the number of failed login attempts per user per minute. This metric should be of type DELTA. What is the correct approach?

Question 48hardmultiple choice

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You need to set up an alert that fires when the total number of errors in a specific Cloud Logging log view exceeds 10 in any 5-minute window over the last 1 hour. Which combination of alerting policy conditions and log-based metric is appropriate?

Question 49easymultiple choice

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A team wants to visualize real-time CPU utilization across a fleet of Compute Engine instances in a single dashboard. Which chart type in Cloud Monitoring is most appropriate?

Question 50mediummultiple choice

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Your application uses structured logging in JSON format. You want to ensure that each log entry is automatically correlated with the corresponding trace in Cloud Trace. Which field must be included in the JSON payload?

Question 51hardmultiple choice

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A company uses Cloud Profiler to identify performance bottlenecks. They notice that the CPU profile shows a function consuming high CPU, but they want to see the corresponding source code lines. What must they enable?

Question 52mediummultiple choice

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You need to set up a notification channel for alerting that triggers a PagerDuty incident. The PagerDuty integration key is 'abc123'. What is the correct command to create this channel?

Question 53easymultiple choice

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An application running on Google Kubernetes Engine (GKE) uses OpenTelemetry SDK to export traces. Which Google Cloud service should receive these traces?

Question 54hardmultiple choice

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You are configuring a dashboard-as-code using the Cloud Monitoring API. You want to create a dashboard that shows a heatmap of request latency distribution across all services. Which chart type and aggregation should you use?

Question 55mediummultiple choice

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You want to use OpenTelemetry Collector to send traces from an on-premises application to Cloud Trace. Which exporter should you configure in the Collector pipeline?

Question 56easymultiple choice

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Error Reporting automatically groups similar exceptions. Which Google Cloud services does Error Reporting integrate with to provide additional context?

Question 57mediummultiple choice

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You need to set up an alert that fires when any of your Compute Engine instances has been down (no metric data) for more than 10 minutes. Which condition type should you use?

Question 58mediummulti select

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Your team wants to collect custom metrics from a .NET application running on Compute Engine and send them to Cloud Monitoring. Which TWO approaches are valid?

Question 59hardmulti select

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A global application uses Cloud Trace to collect distributed traces. The current sampling rate of 100% is causing high costs and storage usage. The team wants to reduce sampling while still capturing representative data. Which THREE strategies should they consider?

Question 60easymulti select

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You need to send alert notifications to a Slack channel. Which TWO components are required?

Question 61easymultiple choice

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You need to create a custom metric to monitor the number of user logins per minute. Which metric kind should you use?

Question 62mediummultiple choice

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Your team uses Cloud Monitoring to set up an alerting policy for high CPU utilization. You want the policy to trigger only if CPU usage exceeds 80% for at least 5 minutes. Which condition configuration should you use?

Question 63hardmultiple choice

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An application running on GKE uses OpenTelemetry for instrumentation. You need to export traces to Cloud Trace and custom metrics to Cloud Monitoring. Which approach is most efficient?

Question 64mediummultiple choice

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You are designing a dashboard for application latency. You want to visualize the distribution of latency values across different services using a chart that shows percentiles over time. Which chart type should you use?

Question 65mediummultiple choice

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You need to monitor the number of ERROR-level log entries in Cloud Logging and trigger an alert when the count exceeds 100 in 5 minutes. Which approach should you use?

Question 66hardmultiple choice

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A microservice running on Cloud Run is logging structured JSON payloads. You want to correlate logs with distributed traces using Cloud Trace. Which field should you include in the log entry to enable automatic correlation?

Question 67easymultiple choice

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You want to continuously profile the CPU usage of a production application running on Compute Engine to identify performance bottlenecks. Which Google Cloud service should you use?

Question 68mediummultiple choice

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You need to set up a notification channel for alerts that sends messages to a custom internal incident management system via a webhook. Which notification channel type should you use?

Question 69mediummultiple choice

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Your team has an alerting policy that fires frequently but the on-call engineer has difficulty understanding the impact. You want to add contextual information such as a runbook URL and severity label. What should you do?

Question 70easymultiple choice

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You want to automatically group and track similar errors in your application logs, and see trends over time. Which Google Cloud service should you use?

Question 71hardmultiple choice

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Your team is using Cloud Monitoring dashboards to monitor a multi-service architecture. You want to manage dashboards as code using Terraform. Which approach should you use to create a dashboard?

Question 72mediummultiple choice

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You want to visualize the 99th percentile latency of a service on a dashboard. The metric is a distribution metric. Which reducer should you use in the chart configuration?

Question 73mediummulti select

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You are designing a monitoring strategy for a GKE cluster. You need to collect application metrics, traces, and logs in a vendor-neutral way, and export them to Google Cloud. Which TWO components should you use? (Choose two.)

Question 74hardmulti select

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You need to reduce the cost of Cloud Monitoring custom metrics while retaining the ability to create alerts on those metrics. Which THREE actions should you take? (Choose three.)

Question 75mediummulti select

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You are investigating a performance issue in a distributed application. You want to identify the services causing high latency. Which TWO tools should you use together? (Choose two.)

Question 76easymultiple choice

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You need to create a custom metric in Cloud Monitoring that measures the number of HTTP requests to your application each second. Which metric type should you use?

Question 77mediummultiple choice

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Your team uses Cloud Monitoring to alert on high CPU usage for Compute Engine instances. You want to be notified via email and Slack. You have created a notification channel for email. What must you do to also notify Slack?

Question 78hardmultiple choice

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You are configuring a log-based metric that counts error log entries with severity ERROR. You need to set up an alert that fires when the count exceeds 100 in a 5-minute window. Which alert condition type and reducer should you use?

Question 79mediummultiple choice

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Your application runs on Google Kubernetes Engine (GKE) and emits traces using the OpenTelemetry SDK. You want to export these traces to Cloud Trace. Which configuration is required?

Question 80hardmultiple choice

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You want to create a dashboard-as-code for Cloud Monitoring using the API. You have a JSON representation of the dashboard. Which command correctly creates the dashboard?

Question 81easymultiple choice

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Which Cloud Monitoring feature allows you to group log entries from the same request across multiple services using a common identifier?

Question 82mediummultiple choice

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You are using Cloud Profiler to identify performance bottlenecks. You notice a function that consumes significant CPU time. However, the profiler shows only a small percentage of samples in that function. What is the most likely cause?

Question 83easymulti select

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You need to create an alerting policy in Cloud Monitoring for a custom metric. Which THREE components must be defined? (Select 3)

Question 84mediummulti select

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An application is emitting custom metrics using OpenTelemetry. You want to collect and export these metrics to Cloud Monitoring. Which TWO components are required? (Select 2)

Question 85mediummulti select

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You are building a dashboard in Cloud Monitoring to display CPU utilization of Compute Engine instances. Which TWO chart types are appropriate for showing trends over time? (Select 2)

Question 86hardmulti select

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You need to set up a logs-based alert that triggers when the 99th percentile of request latency exceeds 500ms in a 10-minute window. You create a logs-based distribution metric. Which THREE alert conditions are needed? (Select 3)

Question 87easymulti select

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Which TWO metrics are examples of GAUGE metric types? (Select 2)

Question 88hardmulti select

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You are setting up structured logging for an application running on Compute Engine. Your logs should include trace context and severity. Which TWO fields should you include in the JSON payload to enable correlation with Cloud Trace? (Select 2)

Question 89mediummulti select

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