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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Deploy applications	- Deploy applications to Google Cloud 1. Deploy applications using Cloud Run 2. Deploy applications to Google Kubernetes Engine 3. Manage application rollout strategies
Build and test applications	- Manage development environments 1. Build application artifacts 2. Perform application testing 3. Implement CI/CD pipelines
Manage application performance monitoring	- Monitor and troubleshoot applications 1. Configure logging and tracing 2. Analyze metrics and alerts 3. Optimize application performance
Integrate applications with Google Cloud services	- Integrate with data and storage services 1. Implement authentication and authorization 2. Use messaging and event-driven services 3. Integrate with Google Cloud APIs
Design scalable, available, and reliable cloud-native applications	- Design highly performant applications and APIs 1. Design secure applications 2. Choose storage options for application data 3. Design resilient and scalable application architectures

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Google Certified Professional - Cloud Developer Sample Questions (Q198-Q203):

NEW QUESTION # 198
Your company has created an application that uploads a report to a Cloud Storage bucket. When the report is uploaded to the bucket, you want to publish a message to a Cloud Pub/Sub topic. You want to implement a solution that will take a small amount to effort to implement.
What should you do?

A. Create an App Engine application to receive the file; when it is received, publish a message to the Cloud Pub/Sub topic.
B. Create a Cloud Function that is triggered by the Cloud Storage bucket. In the Cloud Function, publish a message to the Cloud Pub/Sub topic.
C. Configure the Cloud Storage bucket to trigger Cloud Pub/Sub notifications when objects are modified.
D. Create an application deployed in a Google Kubernetes Engine cluster to receive the file; when it is received, publish a message to the Cloud Pub/Sub topic.

Answer: B

Explanation:
Explanation/Reference: https://cloud.google.com/storage/docs/pubsub-notifications

NEW QUESTION # 199
You are using Cloud Build to create a new Docker image on each source code commit to a Cloud Source Repositories repository. Your application is built on every commit to the master branch. You want to release specific commits made to the master branch in an automated method.
What should you do?

A. Commit your source code to a second Cloud Source Repositories repository with a second Cloud Build trigger. Use this repository for new releases only.
B. Create a build trigger on a Git tag pattern. Use a Git tag convention for new releases.
C. Create a build trigger on a Git branch name pattern. Use a Git branch naming convention for new releases.
D. Manually trigger the build for new releases.

Answer: C

Explanation:
Explanation/Reference: https://docs.docker.com/docker-hub/builds/

NEW QUESTION # 200
You are building an API that will be used by Android and iOS apps The API must:
* Support HTTPs
* Minimize bandwidth cost
* Integrate easily with mobile apps
Which API architecture should you use?

A. MQTT for APIs
B. RESTful APIs
C. gRPC-based APIs
D. SOAP-based APIs

Answer: B

Explanation:
Reference: https://www.devteam.space/blog/how-to-build-restful-api-for-your-mobile-app/

NEW QUESTION # 201
You want to re-architect a monolithic application so that it follows a microservices model. You want to accomplish this efficiently while minimizing the impact of this change to the business.
Which approach should you take?

A. Replace the application's features with appropriate microservices in phases.
B. Refactor the monolithic application with appropriate microservices in a single effort and deploy it.
C. Build a new application with the appropriate microservices separate from the monolith and replace it when
D. Deploy the application to Compute Engine and turn on autoscaling.

Answer: B

Explanation:
it is complete.

NEW QUESTION # 202
You need to load-test a set of REST API endpoints that are deployed to Cloud Run. The API responds to HTTP POST requests. Your load tests must meet the following requirements:
- Load is initiated from multiple parallel threads.
- User traffic to the API originates from multiple source IP addresses.
- Load can be scaled up using additional test instances.
You want to follow Google-recommended best practices. How should you configure the load testing?

A. Create an image that has cURL installed, and configure cURL to run a test plan. Deploy the image in a managed instance group, and run one instance of the image for each VM.
B. Create an image that has cURL installed, and configure cURL to run a test plan. Deploy the image in an unmanaged instance group, and run one instance of the image for each VM.
C. Download the container image of a distributed load testing framework on Cloud Shell.Sequentially start several instances of the container on Cloud Shell to increase the load on the API.
D. Deploy a distributed load testing framework on a private Google Kubernetes Engine cluster.
Deploy additional Pods as needed to initiate more traffic and support the number of concurrent users.

Answer: D

NEW QUESTION # 203
......

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