PCDE Implementing Service Monitoring Strategies Practice Test 4 — 15 Questions

Question 1

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?

Accepted Answer

DISTRIBUTION metric type with PERCENTILE reducer. The 99th percentile requires a distribution metric that records a histogram of latency values. The reducer 'PERCENTILE' (not listed as a standard option, but the correct approach is to use a distribution metric with '99th PERCENTILE' reducer) is needed. However, Cloud Monitoring alerting does not support percentile reducers directly; you must use a log-based metric or export to a different system. In this exam context, the correct answer is to use a distribution metric with a percentile aggregation. Among the options, only 'distribution' with a percentile reducer is correct.

Answer

CUMULATIVE metric type with MEAN reducer

Answer

GAUGE metric type with MAX reducer

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DELTA metric type with SUM reducer

Question 2

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?

Accepted Answer

Create a metric descriptor using gcloud alpha monitoring metrics create with --metric-kind=DELTA and --value-type=INT64. DELTA metrics represent the change in a value over a time interval. To create such a metric, you must use the monitoring API to define a metric descriptor with metricKind DELTA and valueType INT64. The metric is then written via the API. OpenTelemetry can also be used, but the direct API call is the most straightforward. Cloud Monitoring does not support direct creation of DELTA metrics via the Metrics Explorer; CLI examples use custom metric descriptors.

Answer

Use the Metrics Explorer to define a new metric with type DELTA

Answer

Create a log-based metric using the Logs Explorer with a filter for failed logins, which automatically creates a CUMULATIVE metric

Answer

Use the Cloud Console to manually add a metric entry, setting type to DELTA

Question 3

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?

Accepted Answer

Create a log-based counter metric and use a metric threshold condition with rolling window 5 minutes, threshold 10. To count errors from logs, you create a log-based counter metric. Then set an alert with condition type 'metric threshold', using the counter metric, with aggregation window '5 minutes', and trigger if value > 10. The 'condition absent' is for missing data, not threshold. 'Forecast' predicts future values. Standard configuration: log-based counter metric + metric threshold alert.

Answer

Use a forecast condition on the log-based metric to predict when errors will exceed 10

Answer

Use a logs-based alerting policy directly with a filter and set count > 10 in 5 minutes

Answer

Create a metric threshold alert on the log entry count metric with duration 5 minutes and threshold 10

Question 4

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?

Accepted Answer

Line chart. Line charts are ideal for time-series data like CPU utilization over time, showing trends and variations. Stacked bar charts are better for categorical comparisons, heatmaps for density, and scatter plots for correlation. For multiple instances over time, line charts are standard.

Answer

Stacked bar chart

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Scatter plot

Answer

Heatmap

Question 5

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?

Accepted Answer

"trace" field with the trace ID formatted as projects/PROJECT_ID/traces/TRACE_ID. Cloud Logging correlates logs with traces via the 'logging.googleapis.com/trace' field (or 'trace' in the LogEntry), which should contain the trace ID in the format 'projects/[PROJECT_ID]/traces/[TRACE_ID]'. The 'httpRequest' field is for HTTP request data, 'severity' for log level, and 'labels' for custom metadata. Only the trace field provides correlation.

Answer

"severity" field set to "ERROR"

Answer

"httpRequest" object with requestUrl and status

Answer

"labels" field containing custom metadata

Question 6

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?

Accepted Answer

Enable debug symbols in the application build. Cloud Profiler can display source code locations if the application is built with debug symbols and the source code is available. For Google Cloud services, it automatically shows line numbers. For custom applications, you need to ensure the binary includes debug information (e.g., -g flag for Go, or pdb files for .NET). Profiler does not require OpenTelemetry, Flame graphs are a visualization, not a requirement, and sampling rate is unrelated.

Answer

Enable flame graphs in the Profiler settings

Answer

Instrument the application with OpenTelemetry SDK

Answer

Increase the Profiler sampling rate

Question 7

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?

Accepted Answer

gcloud alpha monitoring channels create --type=pagerduty --display-name="PagerDuty" --channel-labels=service_key=abc123. PagerDuty notification channels require the type 'pagerduty' and a 'service_key' (integration key) in the labels. The gcloud command is 'gcloud alpha monitoring channels create' with --type=pagerduty and --display-name and --channel-labels=service_key=... .

Answer

gcloud alpha monitoring channels create --type=slack --display-name="PagerDuty" --channel-labels=token=abc123

Answer

gcloud alpha monitoring channels create --type=pagerduty --display-name="PagerDuty" --channel-labels=auth_token=abc123

Answer

gcloud beta monitoring channels create --type=webhook --display-name="PagerDuty" --channel-labels=url=https://events.pagerduty.com/integration/abc123/enqueue

Question 8

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

Accepted Answer

Cloud Trace. Cloud Trace is the managed distributed tracing service on Google Cloud. OpenTelemetry SDK can export traces directly to Cloud Trace via the exporter. Cloud Monitoring is for metrics, Cloud Logging for logs, and Error Reporting for exceptions. Traces go to Cloud Trace.

Answer

Cloud Logging

Answer

Cloud Monitoring

Answer

Error Reporting

Question 9

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?

Accepted Answer

Heatmap chart using a distribution metric. Heatmaps in Cloud Monitoring are created using a 'heatmap' chart type, which displays the distribution of metric values over time. This requires a distribution metric (e.g., from OpenTelemetry or custom) that records a histogram. The heatmap visualizes percentiles or count per bucket over time. Line, stacked bar, and scorecard cannot show distribution.

Answer

Stacked bar chart with mean aggregation

Answer

Line chart with 95th percentile aggregation

Answer

Scorecard chart with MAX aggregation

Question 10

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?

Accepted Answer

googlecloud. The OpenTelemetry Collector has an exporter 'googlecloud' (or 'googlecloudtrace') that sends traces to Cloud Trace. The 'logging' exporter writes to stdout, 'otlp' sends to an OTLP receiver, and 'prometheus' exports metrics. For Cloud Trace, the googlecloud exporter is correct.

Answer

logging

Answer

prometheus

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otlp

Question 11

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

Accepted Answer

Cloud Logging and Cloud Trace. Error Reporting integrates with Cloud Logging to show log entries associated with errors, and with Cloud Trace to show trace details. Cloud Monitoring provides metrics, but not direct context per error. Cloud Profiler is for CPU/memory profiles, not error context.

Answer

Cloud Trace and Cloud Profiler

Answer

Cloud Logging and Cloud Monitoring

Answer

Cloud Monitoring and Cloud Profiler

Question 12

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?

Accepted Answer

Metric absent. The 'metric absent' condition fires when a metric stops reporting data for a specified duration. This is ideal for detecting instance downtime. 'Metric threshold' requires a value above/below a threshold; 'forecast' predicts future values; 'log match' is for log-based alerts (not applicable for instance up/down).

Answer

Metric threshold

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Log match

Answer

Forecast

Question 13

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?

Accepted Answer

Use the Google.Cloud.Monitoring.V3 client library to call the metric API directly. Valid approaches: (1) Use the OpenTelemetry .NET SDK to instrument the application and export metrics to Cloud Monitoring via the Google Cloud exporter. (2) Use the Google.Cloud.Monitoring.V3 client library to write custom metrics directly via the Monitoring API. The other options are invalid: Stackdriver client is deprecated, StatsD is not directly supported by Cloud Monitoring, and gcloud commands are for administration, not application-level metric writing.

Answer

Configure the application to emit metrics to a StatsD daemon and configure Cloud Monitoring to scrape it

Answer

Install the Stackdriver Monitoring agent and enable custom metrics

Answer

Use gcloud beta monitoring metrics create to define and write metrics from the application

Question 14

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?

Accepted Answer

Set a probabilistic sampling rate (e.g., 10%) in the OpenTelemetry SDK. Strategies to reduce trace volume: (1) Implement head-based sampling with a fixed rate like 10% in the OpenTelemetry SDK. (2) Use tail-based sampling via the OpenTelemetry Collector to sample based on error status or latency. (3) Sample based on request path — prioritize high-value endpoints. Disabling auto-instrumentation stops all traces; increasing rate worsens the issue; using only Cloud Trace API is not a sampling strategy.

Answer

Disable automatic instrumentation and only use manual instrumentation with Cloud Trace API

Answer

Increase the sampling rate to 100% to ensure no traces are missed

Question 15

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

Accepted Answer

A notification channel of type 'slack' in Cloud Monitoring. To send alerts to Slack, you need a Slack app with a webhook URL, and a Cloud Monitoring notification channel of type 'slack' configured with that webhook URL. Pub/Sub is not required for Slack directly; Slack channels are configured via webhooks. Email notification channel type is incorrect; Slack is a separate type. A Cloud Function could be used as an intermediary but is not required.

Answer

A Cloud Pub/Sub topic

Answer

An email notification channel

Answer

A Cloud Function to transform the alert