Why observability matters in GCP - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a Stackdriver Monitoring client in GCP.

GCP

from google.cloud import monitoring_v3
client = monitoring_v3.[1]()

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AStorageClient

BLoggingServiceV2Client

CMetricServiceClient

DComputeClient

Attempts:

3 left

💡 Hint

Common Mistakes

Using LoggingServiceV2Client instead of MetricServiceClient

Using StorageClient which is unrelated

The MetricServiceClient is used to interact with Stackdriver Monitoring for observability metrics.

2fill in blank

medium

Complete the code to define a metric descriptor type for a custom metric.

GCP

metric_descriptor.type = "custom.googleapis.com/[1]"

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Anetwork_traffic

Bmemory

Cdisk_io

Dcpu_usage

Attempts:

3 left

💡 Hint

Common Mistakes

Using generic names like 'memory' without context

Using unsupported metric names

Custom metrics in GCP start with custom.googleapis.com/ followed by the metric name, here cpu_usage.

3fill in blank

hard

Fix the error in the code to write a time series data point for a custom metric.

GCP

series.metric.type = "custom.googleapis.com/cpu_usage"
series.resource.type = "[1]"

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Aglobal

Bgce_instance

Ck8s_container

Dcloud_function

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'global' which is not specific

Using 'cloud_function' which is for serverless functions

The resource type gce_instance represents a Google Compute Engine VM, which is a common resource for CPU metrics.

4fill in blank

hard

Fill both blanks to create a filter string to query CPU usage metrics for a specific instance.

GCP

filter = 'metric.type="custom.googleapis.com/cpu_usage" AND resource.labels.instance_id=[1] AND resource.type=[2]'

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A"1234567890123456789"

B"gce_instance"

C"cloud_run_revision"

D"my-instance-id"

Attempts:

3 left

💡 Hint

Common Mistakes

Using numeric IDs without quotes

Using wrong resource types like cloud_run_revision

The instance ID should be a string like "my-instance-id" and the resource type for a VM is "gce_instance".

5fill in blank

hard

Fill all three blanks to create a monitoring alert policy condition for high CPU usage.

GCP

condition = monitoring_v3.AlertPolicy.Condition(
    display_name="High CPU Usage",
    condition_threshold=monitoring_v3.AlertPolicy.Condition.MetricThreshold(
        filter="metric.type=\"custom.googleapis.com/cpu_usage\" AND resource.type=\"[1]\"",
        comparison=monitoring_v3.AlertPolicy.Condition.MetricThreshold.ComparisonType.[2],
        threshold_value=[3],
        duration=duration_pb2.Duration(seconds=300),
        aggregations=[]
    )
)

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Agce_instance

BGREATER_THAN

C80.0

Dcloud_function

Attempts:

3 left

💡 Hint

Common Mistakes

Using cloud_function instead of gce_instance

Using wrong comparison operators

Setting threshold too low or high

The alert monitors CPU usage on a VM (gce_instance), triggers when usage is GREATER_THAN 80.0%, sustained for 5 minutes.