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Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Developer Sample Questions (Q348-Q353):

NEW QUESTION # 348
You are developing an application that will handle requests from end users. You need to secure a Cloud Function called by the application to allow authorized end users to authenticate to the function via the application while restricting access to unauthorized users. You will integrate Google Sign-In as part of the solution and want to follow Google-recommended best practices.
What should you do?

A. Deploy from a source code repository and grant users the roles/cloudfunctions.viewer role.
B. Deploy from your local machine using gcloud and grant users the roles/cloudfunctions.admin role
C. Deploy from your local machine using gcloud and grant users the roles/cloudfunctions.developer role
D. Deploy from a source code repository and grant users the roles/cloudfunctions.invoker role

Answer: D

Explanation:
Have the user account you are using to access Cloud Functions assigned a role that contains the cloudfunctions.functions.invoke permission. By default, the Cloud Functions Admin and Cloud Functions Developer roles have this permission. See Cloud Functions IAM Roles for the full list of roles and their associated permissions.

NEW QUESTION # 349
You are designing a chat room application that will host multiple rooms and retain the message history for each room. You have selected Firestore as your database. How should you represent the data in Firestore?

A. Create a collection for the rooms. For each room, create a collection that contains a document for each message
B. Create a collection for the rooms, and create a document for each room. Create a separate collection for messages, with one document per message. Each room's document contains a list of references to the messages.
C. Create a collection for the rooms. For each room, create a document that lists the contents of the messages
D. Create a collection for the rooms. For each room, create a document that contains a collection for documents, each of which contains a message.

Answer: D

Explanation:
https://firebase.google.com/docs/firestore/data-model#hierarchical-data

NEW QUESTION # 350
You are deploying your applications on Compute Engine. One of your Compute Engine instances failed to launch. What should you do? (Choose two.)

A. Check whether network traffic to or from your instance is being dropped.
B. Check whether your instance boot disk is completely full.
C. Access Compute Engine as a different SSH user.
D. Determine whether your file system is corrupted.
E. Troubleshoot firewall rules or routes on an instance.

Answer: B,D

Explanation:
https://cloud.google.com/compute/docs/troubleshooting/vm-startup

NEW QUESTION # 351
You are customizing a VM instance for development and need to choose either SSD or Standard Persistent Disks for your VM. Your team's cloud architect is not currently available for you to consult. You need to quickly determine the advantages and disadvantages of using SSD or Standard storage. What should you do?

A. Review reference architectures that match your application in the Cloud Architecture Center.
B. Request help on internet forums such as Reddit or Stack Overflow.
C. Use Gemini Cloud Assist, and prompt "What is the difference between SSD and Standard Persistent Disks?"
D. Review the Google Cloud documentation on Persistent Disks.

Answer: D

Explanation:
Reviewing the Google Cloud documentation on Persistent Disks provides authoritative, up-to- date, and comprehensive details on the advantages and disadvantages of SSD versus Standard storage, enabling you to make an informed decision quickly.

NEW QUESTION # 352
You are using Cloud Build to create a new Docker image on each source code commit to a Cloud Source Repositoties 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. Manually trigger the build for new releases.
B. Commit your source code to a second Cloud Source Repositories repository with a second Cloud Build trigger. Use this repository for new releases only.
C. Create a build trigger on a Git branch name pattern. Use a Git branch naming convention for new releases.
D. Create a build trigger on a Git tag pattern. Use a Git tag convention for new releases.

Answer: C

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

NEW QUESTION # 353
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