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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Designing highly scalable, secure, and reliable cloud-native applications	32%	- Designing secure applications 1. Applying security best practices and compliance requirements 2. Implementing authentication and authorization mechanisms 3. Securing data in transit and at rest - Designing for observability and monitoring 1. Planning logging, metrics, and tracing strategies 2. Designing for debugging and troubleshooting - Designing high-performing applications and APIs 1. Optimizing for latency and throughput 2. Selecting appropriate compute and deployment platforms 3. Designing for high availability and fault tolerance
Topic 2: Configuring cloud-native applications for deployment	24%	- Deploying applications to Cloud Run 1. Configuring scaling, networking, and security 2. Integrating with event-driven services 3. Deploying from source code or containers - Deploying applications to Google Kubernetes Engine 1. Managing configurations and secrets 2. Creating and managing workloads and services 3. Configuring scaling, auto-scaling, and updates - Deploying to App Engine or Cloud Functions 1. Managing versions and traffic splitting 2. Configuring serverless deployments
Topic 3: Integrating applications with Google Cloud services	21%	- Implementing application performance monitoring 1. Using operations suite tools 2. Instrumenting code for metrics and traces - Integrating with data and storage services 1. Using object storage and file storage solutions 2. Working with relational, NoSQL, and in-memory databases 3. Implementing messaging and event streaming - Consuming Google Cloud APIs and services 1. Enabling and managing APIs 2. Integrating with AI/ML and generative AI services 3. Using client libraries, REST, and gRPC
Topic 4: Building and testing applications	23%	- Building applications and containers 1. Using Cloud Build and Artifact Registry 2. Configuring build pipelines and provenance 3. Implementing containerization best practices - Testing applications 1. Automating testing in CI/CD workflows 2. Writing unit, integration, and end-to-end tests 3. Using AI-assisted development tools - Setting up development environments 1. Emulating Google Cloud services locally 2. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations

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Google Certified Professional - Cloud Developer Sample Questions (Q230-Q235):

NEW QUESTION # 230
Your code is running on Cloud Functions in project A.
It is supposed to write an object in a Cloud Storage bucket owned by project B.
However, the write call is failing with the error "403 Forbidden".
What should you do to correct the problem?

A. Grant the service-PROJECTA@gcf-admin-robot.iam.gserviceaccount.com service account the roles/ storage.objectCreator role for the Cloud Storage bucket.
B. Grant your user account the roles/storage.objectCreator role for the Cloud Storage bucket.
C. Enable the Cloud Storage API in project B.
D. Grant your user account the roles/iam.serviceAccountUser role for the service-PROJECTA@gcf-adminrobot.
iam.gserviceaccount.com service account.

Answer: D

NEW QUESTION # 231
Your team detected a spike of errors in an application running on Cloud Run in your production project. The application is configured to read messages from Pub/Sub topic A, process the messages, and write the messages to topic B. You want to conduct tests to identify the cause of the errors. You can use a set of mock messages for testing. What should you do?

A. Deploy the Pub/Sub emulator on your local machine. Point the production application to your local Pub/Sub topics. Write mock messages to topic A, and then analyze the logs.
B. Deploy the Pub/Sub and Cloud Run emulators on your local machine. Deploy the application locally, and change the logging level in the application to DEBUG or INFO. Write mock messages to topic A, and then analyze the logs.
C. Use the gcloud CLI to write mock messages to topic A. Change the logging level in the application to DEBUG or INFO, and then analyze the logs.
D. Use the Google Cloud console to write mock messages to topic A. Change the logging level in the application to DEBUG or INFO, and then analyze the logs.

Answer: B

Explanation:
https://cloud.google.com/pubsub/docs/emulator

NEW QUESTION # 232
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 C
B. Option D
C. Option A
D. Option B

Answer: D

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 # 233
Your data is stored in Cloud Storage buckets. Fellow developers have reported that data downloaded from Cloud Storage is resulting in slow API performance. You want to research the issue to provide details to the GCP support team. Which command should you run?

A. gsutil perfdiag -o output.json gs://my-bucket
B. gcloud compute scp example-instance:~/test-data -o output.json gs://my-bucket
C. gcloud services test -o output.json gs://my-bucket
D. gsutil test -o output.json gs://my-bucket

Answer: A

Explanation:
Reference:
https://groups.google.com/forum/#!topic/gce-discussion/xBl9Jq5HDsY

NEW QUESTION # 234
You are developing an application that reads credit card data from a Pub/Sub subscription. You have written code and completed unit testing. You need to test the Pub/Sub integration before deploying to Google Cloud. What should you do?

A. Create a service to publish messages, and deploy the Pub/Sub emulator. Generate random content in the publishing service, and publish to the emulator.
B. Create a service to publish messages, and deploy the Pub/Sub emulator. Collect the messages from Pub/Sub in production, and publish them to the emulator.
C. Create a service to publish messages to your application. Collect the messages from Pub/Sub in production, and replay them through the publishing service.
D. Create a service to publish messages, and deploy the Pub/Sub emulator. Publish a standard set of testing messages from the publishing service to the emulator.

Answer: D

Explanation:
https://cloud.google.com/pubsub/docs/emulator

NEW QUESTION # 235
......

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