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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Topic 1: Deploying applications	- Release management strategies - CI/CD pipelines - Containerization and deployment (Cloud Run, GKE)
Topic 2: Integrating Google Cloud services	- API integration and service-to-service communication - Using managed services (Pub/Sub, Firestore, Cloud SQL)
Topic 3: Ensuring application performance and reliability	- Monitoring and logging (Cloud Monitoring, Cloud Logging) - Fault tolerance and incident response - Performance optimization
Topic 4: Designing cloud-native applications	- Scalability and resiliency patterns - Microservices design principles - Application architecture design
Topic 5: Building and testing applications	- Debugging and troubleshooting applications - Unit and integration testing strategies - Application development on Google Cloud

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Google Certified Professional - Cloud Developer Sample Questions (Q242-Q247):

NEW QUESTION # 242
Your company recently modernized their monolith ecommerce site to a microservices application in GKE. Your team uses Google Cloud's operations suite for monitoring and logging. You want to improve the logging indexing and searchabilty in Cloud Logging across your microservices with the least amount of effort. What should you do?

A. Update your microservices code to emit logs in JSON format.
B. Instrument your microservices code with OpenTelemetry libraries.
C. Ask the SRE team to enable Managed Service for Prometheus on your GKE cluster.
D. Reconfigure your applications to write logs to an emptyDir volume. Configure a sidecar agent to read the logs and send them to the Cloud Logging API.

Answer: A

Explanation:
JSON-formatted logs are structured logs that make indexing and searching easier in Cloud Logging. Cloud Logging can automatically parse JSON logs, which allows for better indexing, querying, and filtering capabilities. By emitting logs in JSON format, you improve the searchability and organization of logs across your microservices with minimal code changes, as JSON logs provide structure to log entries without requiring additional services or configurations.
Options like enabling Managed Service for Prometheus or instrumenting with OpenTelemetry are useful for monitoring and metrics, but they don't specifically improve log indexing and searchability in Cloud Logging.

NEW QUESTION # 243
You need to copy directory local-scripts and all of its contents from your local workstation to a Compute Engine virtual machine instance.
Which command should you use?

A. gsutil cp --project "my-gcp-project" -r ~/local-scripts/ gcp-instance-name:~/ server-scripts/ --zone "us-east1-b"
B. gcloud compute mv --project "my-gcp-project" --recurse ~/local-scripts/ gcpinstance- name:~/server-scripts/ --zone "us-east1-b"
C. gcloud compute scp --project "my-gcp-project" --recurse ~/local-scripts/ gcpinstance- name:~/server-scripts/ --zone "us-east1-b"
D. gsutil cp --project "my-gcp-project" -R ~/local-scripts/ gcp-instance-name:~/ server-scripts/ --zone "us-east1-b"

Answer: C

NEW QUESTION # 244
Your team manages a Google Kubernetes Engine (GKE) cluster where an application is running. A different team is planning to integrate with this application. Before they start the integration, you need to ensure that the other team cannot make changes to your application, but they can deploy the integration on GKE. What should you do?

A. Create a new GKE cluster. Using Identity and Access Management (IAM), grant the Editor role on the cluster project to the other team.
B. Create a new namespace in the existing cluster. Using Kubernetes role-based access control (RBAC), grant the Admin role on the new namespace to the other team.
C. Create a new namespace in the existing cluster. Using Identity and Access Management (IAM), grant the Editor role on the cluster project to the other team.
D. Using Identity and Access Management (IAM), grant the Viewer IAM role on the cluster project to the other team.

Answer: B

NEW QUESTION # 245
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 the Cloud Run webhook.
B. 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.
C. Create a log-based metric with an alerting policy that sends a notification using the webhook to the Cloud Run endpoint.
D. Configure an Eventarc trigger using the storage.buckets.create filter that sends a notification to the Cloud Run endpoint.

Answer: D

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 # 246
You work for a financial services company that has a container-first approach. Your team develops microservices applications You have a Cloud Build pipeline that creates a container image, runs regression tests, and publishes the image to Artifact Registry You need to ensure that only containers that have passed the regression tests are deployed to Google Kubernetes Engine (GKE) clusters You have already enabled Binary Authorization on the GKE clusters What should you do next?

A. Create an attestor and a policy. Create an attestation for the container images that have passed the regression tests as a step in the Cloud Build pipeline.
B. Create an attestor and a policy Run a vulnerability scan to create an attestation for the container image as a step in the Cloud Build pipeline.
C. Set the Pod Security Standard level to Restricted for the relevant namespaces Digitally sign the container images that have passed the regression tests as a step in the Cloud Build pipeline.
D. Deploy Voucher Server and Voucher Client Components. After a container image has passed the regression tests, run Voucher Client as a step in the Cloud Build pipeline.

Answer: A

NEW QUESTION # 247
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