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Google Cloud Certified - Professional Cloud DevOps Engineer is a certification exam that validates the skills of the candidates in the field of cloud computing and DevOps. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam is designed for professionals who have a good understanding of DevOps practices and tools, and can implement them in the Google Cloud Platform (GCP) environment. Professional-Cloud-DevOps-Engineer Exam is intended to test the candidate's ability to design, develop, and manage a reliable, scalable, and secure cloud-based infrastructure.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q186-Q191):

NEW QUESTION # 186
You support an application running on GCP and want to configure SMS notifications to your team for the most critical alerts in Stackdriver Monitoring. You have already identified the alerting policies you want to configure this for. What should you do?

A. Select the Webhook notifications option for each alerting policy, and configure it to use a third-party integration tool. Ensure that your team members add their SMS/phone numbers to the external tool.
B. Configure a Slack notification for each alerting policy. Set up a Slack-to-SMS integration to send SMS messages when Slack messages are received. Ensure that your team members add their SMS/phone numbers to the external integration.
C. Ensure that your team members set their SMS/phone numbers in their Stackdriver Profile. Select the SMS notification option for each alerting policy and then select the appropriate SMS/phone numbers from the list.
D. Download and configure a third-party integration between Stackdriver Monitoring and an SMS gateway.
Ensure that your team members add their SMS/phone numbers to the external tool.

Answer: B

NEW QUESTION # 187
Your Cloud Run application writes unstructured logs as text strings to Cloud Logging. You want to convert the unstructured logs to JSON-based structured logs. What should you do?

A. Modify the application to use Cloud Logging software development kit (SDK), and send log entries with a jsonPay10ad field.
B. Configure the log agent to convert log text payload to JSON payload.
C. Install the log agent in the Cloud Run container image, and use the log agent to forward logs to Cloud Logging.
D. A Install a Fluent Bit sidecar container, and use a JSON parser.

Answer: A

Explanation:
The correct answer is D. Modify the application to use Cloud Logging software development kit (SDK), and send log entries with a jsonPayload field.
Cloud Logging SDKs are libraries that allow you to write structured logs from your Cloud Run application.
You can use the SDKs to create log entries with a jsonPayload field, which contains a JSON object with the properties of your log entry.The jsonPayload field allows you to use advanced features of Cloud Logging, such as filtering, querying, and exporting logs based on the properties of your log entry1.
To use Cloud Logging SDKs, you need to install the SDK for your programming language, and then use the SDK methods to create and send log entries to Cloud Logging.For example, if you are using Node.js, you can use the following code to write a structured log entry with a jsonPayload field2:
// Imports the Google Cloud client library
const {Logging} = require('@google-cloud/logging');
// Creates a client
const logging = new Logging();
// Selects the log to write to
const log = logging.log('my-log');
// The data to write to the log
const text = 'Hello, world!';
const metadata = {
// Set the Cloud Run service name and revision as labels
labels: {
service_name: process.env.K_SERVICE || 'unknown',
revision_name: process.env.K_REVISION || 'unknown',
},
// Set the log entry payload type and value
jsonPayload: {
message: text,
timestamp: new Date(),
},
};
// Prepares a log entry
const entry = log.entry(metadata);
// Writes the log entry
await log.write(entry);
console.log(`Logged: ${text}`);
Using Cloud Logging SDKs is the best way to convert unstructured logs to structured logs, as it provides more flexibility and control over the format and content of your log entries.
Using a Fluent Bit sidecar container is not a good option, as it adds complexity and overhead to your Cloud Run application.Fluent Bit is a lightweight log processor and forwarder that can be used to collect and parse logs from various sources and send them to different destinations3. However, Cloud Run does not support sidecar containers, so you would need to run Fluent Bit as part of your main container image. This would require modifying your Dockerfile and configuring Fluent Bit to read logs from supported locations and parse them as JSON. This is more cumbersome and less reliable than using Cloud Logging SDKs.
Using the log agent in the Cloud Run container image is not possible, as the log agent is not supported on Cloud Run. The log agent is a service that runs on Compute Engine or Google Kubernetes Engine instances and collects logs from various applications and system components. However, Cloud Run does not allow you to install or run any agents on its underlying infrastructure, as it is a fully managed service that abstracts away the details of the underlying platform.
Storing the password directly in the code is not a good practice, as it exposes sensitive information and makes it hard to change or rotate the password. It also requires rebuilding and redeploying the application each time the password changes, which adds unnecessary work and downtime.
References:
1:Writing structured logs | Cloud Run Documentation | Google Cloud
2:Write structured logs | Cloud Run Documentation | Google Cloud
3: Fluent Bit - Fast and Lightweight Log Processor & Forwarder
4: Logging Best Practices for Serverless Applications - Google Codelabs
5: About the logging agent | Cloud Logging Documentation | Google Cloud
6: Cloud Run FAQ | Google Cloud

NEW QUESTION # 188
You are running an experiment to see whether your users like a new feature of a web application. Shortly after deploying the feature as a canary release, you receive a spike in the number of 500 errors sent to users, and your monitoring reports show increased latency. You want to quickly minimize the negative impact on users. What should you do first?

A. Record data for the postmortem document of the incident.
B. Roll back the experimental canary release.
C. Start monitoring latency, traffic, errors, and saturation.
D. Trace the origin of 500 errors and the root cause of increased latency.

Answer: D

NEW QUESTION # 189
Your company follows Site Reliability Engineering practices. You are the Incident Commander for a new. customer-impacting incident. You need to immediately assign two incident management roles to assist you in an effective incident response. What roles should you assign?
Choose 2 answers

A. External Customer Communications Lead
B. Communications Lead
C. Operations Lead
D. Engineering Lead
E. Customer Impact Assessor

Answer: A,C

NEW QUESTION # 190
Your team has an application built by using a Dockerfile. The build is executed from Cloud Build, and the resulting artifacts are stored in Artifact Registry. Your team is reporting that builds are slow. You need to increase build speed, while following Google-recommended practices. What should you do?

A. Use the --cache-from parameter, and point to Artifact Registry. Add the most frequently modified files to the earlier stages of the build process.
B. Use the --cache-from parameter, and point to Artifact Registry. Add the most frequently modified files to the later stages of the build process.
C. Cache the container layers of the build process to Cloud Storage. Add the most frequently modified files to the earlier stages of the build process.
D. Cache the container layers of the build process to Cloud Storage. Add the most frequently modified files to the later stages of the build process.

Answer: B

Explanation:
To speed up Docker builds, optimize layer caching. Google Cloud recommends using --cache-from with Artifact Registry, and placing frequently changed files late in the Dockerfile so earlier layers can be reused.
"Put instructions that are less likely to change (like installing packages) early in the Dockerfile, and more frequently changing lines (like copying app code) near the end."
- Dockerfile Best Practices
"Use the --cache-from argument to pull layers from previously built images in Artifact Registry."
- Cloud Build Docker Caching
This dramatically reduces build time by avoiding redundant rebuilds of static layers.

NEW QUESTION # 191
......

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