Cloud Logging overview in GCP - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to write a log entry using Cloud Logging client in Python.

GCP

from google.cloud import logging
client = logging.Client()
logger = client.logger('my-log')
logger.[1]('This is a log entry')

Drag options to blanks, or click blank then click option'

Alog_text

Bwrite

Attempts:

3 left

💡 Hint

Common Mistakes

Using a non-existent method like 'write' or 'log'.

Confusing the method with other logging libraries.

The method log_text is used to write a simple text log entry in Cloud Logging client.

2fill in blank

medium

Complete the command to view logs for a specific GCP project using gcloud CLI.

GCP

gcloud logging read 'resource.type=gae_app' --project=[1]

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Amy-project-id

Cdefault

Dall-projects

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'default' or 'all-projects' which are invalid project IDs.

Omitting the --project flag.

You must specify your actual GCP project ID with the --project flag to read logs for that project.

3fill in blank

hard

Fix the error in the log filter to show only ERROR severity logs.

GCP

severity [1] ERROR

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A==

B:

C=

D!=

Attempts:

3 left

💡 Hint

Common Mistakes

Using '=' or '==' which are invalid in Cloud Logging filters.

Using '!=' which filters out ERROR logs.

In Cloud Logging filters, the colon ':' is used to specify equality for severity levels.

4fill in blank

hard

Complete the code to create a log-based metric that counts ERROR logs.

GCP

gcloud logging metrics create error_count --description='Count of error logs' --log-filter='severity : ERROR' --metric-descriptor.metric-kind=[1]

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A:

BDELTA

C=

DCUMULATIVE

Attempts:

3 left

💡 Hint

Common Mistakes

Using '=' instead of ':' in filter.

Using 'CUMULATIVE' which is for total sums, not counts.

The filter uses ':' to match severity, and the metric kind for counting occurrences is 'DELTA'.

5fill in blank

hard

Fill both blanks to create a sink that exports logs to a Cloud Storage bucket.

GCP

gcloud logging sinks create my-sink storage.googleapis.com/[1] --log-filter='severity : ERROR' --project=[2]

Drag options to blanks, or click blank then click option'

Amy-logs-bucket

B:

Cmy-project-123

D=

Attempts:

3 left

💡 Hint

Common Mistakes

Using '=' instead of ':' in filter.

Using wrong bucket or project names.

The sink exports logs to the bucket named 'my-logs-bucket'. The filter uses ':' to match ERROR severity. The project ID is 'my-project-123'.