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Google Professional-Cloud-Developer Certification Exam is a challenging but rewarding credential that validates one’s expertise in developing cloud-native applications on the Google Cloud Platform. Google Certified Professional - Cloud Developer certification is ideal for developers who work with Google Cloud technologies and want to demonstrate their skills to potential employers or clients. If you are interested in pursuing this certification, it is recommended that you have a solid understanding of cloud application development principles, containerization technologies, and best practices for building scalable and secure applications.

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Google Professional-Cloud-Developer Exam consists of two sections: Multiple-choice questions and practical assessments. Professional-Cloud-Developer exam duration is two hours, and the passing score is 70%. After passing the certification, you will join Google Cloud's vast community of professionals, allowing you to network with other certified professionals, take part in shared events and access exclusive Google Cloud resources.

Google Professional-Cloud-Developer certification is an important credential for cloud developers who want to demonstrate their expertise in building and deploying scalable cloud solutions on the Google Cloud Platform. Google Certified Professional - Cloud Developer certification can help developers advance their careers and gain recognition within the industry. Additionally, it can help companies identify and hire qualified cloud developers who can help them build and deploy scalable cloud solutions.

Google Certified Professional - Cloud Developer Sample Questions (Q273-Q278):

NEW QUESTION # 273
You are planning to deploy your application in a Google Kubernetes Engine (GKE) cluster The application exposes an HTTP-based health check at /healthz. You want to use this health check endpoint to determine whether traffic should be routed to the pod by the load balancer.
Which code snippet should you include in your Pod configuration?

A. Option D
B. Option C
C. Option A
D. Option B

Answer: D

Explanation:
Explanation
For the GKE ingress controller to use your readinessProbes as health checks, the Pods for an Ingress must exist at the time of Ingress creation. If your replicas are scaled to 0, the default health check will apply.

NEW QUESTION # 274
You have recently instrumented a new application with OpenTelemetry, and you want to check the latency of your application requests in Trace. You want to ensure that a specific request is always traced. What should you do?

A. Wait 10 minutes, then verify that Trace captures those types of requests automatically.
B. Write a custom script that sends this type of request repeatedly from your dev project.
C. Add the X-Cloud-Trace-Context header to the request with the appropriate parameters.
D. Use the Trace API to apply custom attributes to the trace.

Answer: C

Explanation:
https://cloud.google.com/trace/docs/setup#force-trace
Cloud Trace doesn't sample every request. To force a specific request to be traced, add an X-Cloud-Trace-Context header to the request.

NEW QUESTION # 275
You have an application running in Cloud Run that validates bucket names based on your organization's compliance rule. You want the Cloud Run application to receive a notification as quickly as possible each time a new Cloud Storage bucket is created, and send an alert to the project owner if the bucket name is not in compliance. You need to configure the notification while following Google-recommended practices. What should you do?

A. Configure a log-based alerting policy using the storage.buckets.create filter in the audit logs that sends a notification to a Pub/Sub topic that is pushed to the Cloud Run service.
B. Configure a log-based alerting policy using the storage.buckets.create filter in the audit logs that sends a notification to the Cloud Run webhook.
C. Configure an Eventarc trigger using the storage.buckets.create filter that sends a notification to the Cloud Run endpoint.
D. Create a log-based metric with an alerting policy that sends a notification using the webhook to the Cloud Run endpoint.

Answer: C

Explanation:
Configuring an Eventarc trigger with the storage.buckets.create filter provides real-time, event- driven notifications to the Cloud Run endpoint as soon as a new bucket is created, following Google-recommended practices for integrating Cloud Storage and Cloud Run.

NEW QUESTION # 276
Your team is responsible for maintaining an application that aggregates news articles from many different sources. Your monitoring dashboard contains publicly accessible real-time reports and runs on a Compute Engine instance as a web application. External stakeholders and analysts need to access these reports via a secure channel without authentication. How should you configure this secure channel?

A. Add an HTTP(S) load balancer in front of the monitoring dashboard. Set up a Google-managed SSL certificate on the load balancer for traffic encryption.
B. Use Cloud Scheduler to trigger Cloud Build every hour to create an export from the reports. Store the reports in a public Cloud Storage bucket.
C. Add a public IP address to the instance. Use the service account key of the instance to encrypt the traffic.
D. Add an HTTP(S) load balancer in front of the monitoring dashboard. Configure Identity-Aware Proxy to secure the communication channel.

Answer: A

Explanation:
https://cloud.google.com/load-balancing/docs/ssl-certificates/google-managed-certs

NEW QUESTION # 277
Your application is deployed on hundreds of Compute Engine instances in a managed instance group (MIG) in multiple zones. You need to deploy a new instance template to fix a critical vulnerability immediately but must avoid impact to your service. What setting should be made to the MIG after updating the instance template?

A. Set the Max Surge to 100%.
B. Set the Update mode to Opportunistic.
C. Set the Maximum Unavailable to 100%.
D. Set the Minimum Wait time to 0 seconds.

Answer: B

Explanation:
Explanation
https://cloud.google.com/compute/docs/instance-groups/rolling-out-updates-to-managed-instance-groups#type Alternatively, if an automated update is potentially too disruptive, you can choose to perform an opportunistic update. The MIG applies an opportunistic update only when you manually initiate the update on selected instances or when new instances are created. New instances can be created when you or another service, such as an autoscaler, resizes the MIG. Compute Engine does not actively initiate requests to apply opportunistic updates on existing instances.

NEW QUESTION # 278
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