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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Topic 1: Design scalable, available, and reliable cloud-native applications	- Design highly performant applications and APIs 1. Design secure applications 2. Design resilient and scalable application architectures 3. Choose storage options for application data
Topic 2: Integrate applications with Google Cloud services	- Integrate with data and storage services 1. Use messaging and event-driven services 2. Implement authentication and authorization 3. Integrate with Google Cloud APIs
Topic 3: Build and test applications	- Manage development environments 1. Implement CI/CD pipelines 2. Build application artifacts 3. Perform application testing
Topic 4: Manage application performance monitoring	- Monitor and troubleshoot applications 1. Optimize application performance 2. Analyze metrics and alerts 3. Configure logging and tracing
Topic 5: Deploy applications	- Deploy applications to Google Cloud 1. Deploy applications using Cloud Run 2. Manage application rollout strategies 3. Deploy applications to Google Kubernetes Engine

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Google Certified Professional - Cloud Developer Sample Questions (Q220-Q225):

NEW QUESTION # 220
You are using Cloud Build to build and test application source code stored in Cloud Source Repositories. The build process requires a build tool not available in the Cloud Build environment.
What should you do?

A. Download the binary from the internet during the build process.
B. Include the binary in your Cloud Source Repositories repository and reference it in your build scripts.
C. Ask to have the binary added to the Cloud Build environment by filing a feature request against the Cloud Build public Issue Tracker.
D. Build a custom cloud builder image and reference the image in your build steps.

Answer: D

NEW QUESTION # 221
Your company has a new security initiative that requires all data stored in Google Cloud to be encrypted by customer-managed encryption keys. You plan to use Cloud Key Management Service (KMS) to configure access to the keys. You need to follow the "separation of duties" principle and Google-recommended best practices. What should you do? (Choose two.)

A. Provision Cloud KMS in the project where the keys are being used.
B. Grant an owner role for the Cloud KMS project to a different user than the owner of the project where the keys from Cloud KMS are being used.
C. Do not assign an owner to the Cloud KMS project.
D. Provision Cloud KMS in its own project.
E. Grant the roles/cloudkms.admin role to the owner of the project where the keys from Cloud KMS are being used.

Answer: C,D

Explanation:
Explanation
https://cloud.google.com/kms/docs/separation-of-duties#using_separate_project

NEW QUESTION # 222
You are developing a Java Web Server that needs to interact with Google Cloud services via the Google Cloud API on the user's behalf. Users should be able to authenticate to the Google Cloud API using their Google Cloud identities. Which workflow should you implement in your web application?

A. 1) When a user arrives at your application, route them to a Google Cloud consent screen with a list of requested permissions that prompts the user to sign in with SSO to their Google Account.
2) After the user signs in and provides consent, your application receives an authorization code from a Google server.
3) The Google server returns the authorization code to the user, which is stored in the browser's cookies.
4) The user authenticates to the Google Cloud API using the authorization code in the cookie.
B. 1) When a user arrives at your application, route them to a Google Cloud consent screen with a list of requested permissions that prompts the user to sign in with SSO to their Google Account.
2) After the user signs in and provides consent, your application receives an authorization code from a Google server.
3) The application requests a Google Server to exchange the authorization code with an access token.
4) The Google server responds with the access token that is used by the application to call the Google Cloud API.
C. 1) When a user arrives at your application, prompt them for their Google username and password.
2) Forward the user's username and password in an HTTPS request to the Google Cloud authorization server, and request an access token.
3) The Google server validates the user's credentials and returns an access token to the application.
4) The application uses the access token to call the Google Cloud API.
D. 1) When a user arrives at your application, prompt them for their Google username and password.
2) Store an SHA password hash in your application's database along with the user's username.
3) The application authenticates to the Google Cloud API using HTTPs requests with the user's username and password hash in the Authorization request header.

Answer: B

Explanation:
https://developers.google.com/identity/protocols/oauth2#webserver
The Google OAuth 2.0 endpoint supports web server applications that use languages and frameworks such as PHP, Java, Python, Ruby, and ASP.NET. The authorization sequence begins when your application redirects a browser to a Google URL; the URL includes query parameters that indicate the type of access being requested. Google handles the user authentication, session selection, and user consent. The result is an authorization code, which the application can exchange for an access token and a refresh token.

NEW QUESTION # 223
You are a SaaS provider deploying dedicated blogging software to customers in your Google Kubernetes Engine (GKE) cluster. You want to configure a secure multi-tenant platform to ensure that each customer has access to only their own blog and can't affect the workloads of other customers. What should you do?

A. Build a custom image of the blogging software and use Binary Authorization to prevent untrusted image deployments.
B. Use GKE Audit Logging to identify malicious containers and delete them on discovery.
C. Enable Application-layer Secrets on the GKE cluster to protect the cluster.
D. Deploy a namespace per tenant and use Network Policies in each blog deployment.

Answer: D

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/multitenancy-overview

NEW QUESTION # 224
You have decided to migrate your Compute Engine application to Google Kubernetes Engine. You need to build a container image and push it to Artifact Registry using Cloud Build. What should you do? (Choose two.) A) Run gcloud builds submit in the directory that contains the application source code.
B)
Run gcloud run deploy app-name --image gcr.io/$PROJECT_ID/app-name in the directory that contains the application source code.
C)
Run gcloud container images add-tag gcr.io/$PROJECT_ID/app-name gcr.io/$PROJECT_ID/app-name:latest in the directory that contains the application source code.
D)
In the application source directory, create a file named cloudbuild.yaml that contains the following contents:

E)
In the application source directory, create a file named cloudbuild.yaml that contains the following contents:

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

Answer: A,D

Explanation:
https://cloud.google.com/sdk/gcloud/reference/builds/submit
https://cloud.google.com/artifact-registry/docs/configure-cloud-build

NEW QUESTION # 225
......

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