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Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Developer Sample Questions (Q267-Q272):

NEW QUESTION # 267
You plan to deploy a new Go application to Cloud Run. The source code is stored in Cloud Source Repositories. You need to configure a fully managed, automated, continuous deployment pipeline that runs when a source code commit is made. You want to use the simplest deployment solution. What should you do?

A. Configure a cron job on your workstations to periodically run gcloud run deploy --source in the working directory.
B. Configure continuous deployment of new revisions from a source repository for Cloud Run using buildpacks.
C. Configure a Jenkins trigger to run the container build and deploy process for each source code commit to Cloud Source Repositories.
D. Use Cloud Build with a trigger configured to run the container build and deploy process for each source code commit to Cloud Source Repositories.

Answer: D

Explanation:
https://cloud.google.com/run/docs/continuous-deployment-with-cloud-build Cloud Build is a fully managed, scalable, and efficient service provided by Google Cloud that allows you to automate your software delivery pipeline, including building, testing, and deploying applications. By using a trigger with Cloud Build, you can automatically build and deploy your Go application to Cloud Run whenever a source code commit is made in Cloud Source Repositories.
This provides a simple, fully managed solution for continuous deployment, and eliminates the need for manual processes or external tools like Jenkins.

NEW QUESTION # 268
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, 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.
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 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.
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, 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.

Answer: D

Explanation:
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 # 269
You are designing a resource-sharing policy for applications used by different teams in a Google Kubernetes Engine cluster. You need to ensure that all applications can access the resources needed to run. What should you do? (Choose two.)

A. Specify the resource limits and requests in the object specifications.
B. Create a LimitRange to specify the default compute resource requirements for each namespace.
C. Create a Kubernetes service account (KSA) for each application, and assign each KSA to the namespace.
D. Create a namespace for each team, and attach resource quotas to each namespace.
E. Use the Anthos Policy Controller to enforce label annotations on all namespaces. Use taints and tolerations to allow resource sharing for namespaces.

Answer: B,D

Explanation:
https://kubernetes.io/docs/concepts/policy/resource-quotas/
https://kubernetes.io/docs/concepts/policy/limit-range/
https://cloud.google.com/blog/products/containers-kubernetes/kubernetes-best-practices-resource-requests-and-limits

NEW QUESTION # 270
You have an application running on Google Kubernetes Engine (GKE). The application is currently using a logging library and is outputting to standard output You need to export the logs to Cloud Logging, and you need the logs to include metadata about each request. You want to use the simplest method to accomplish this. What should you do?

A. Update your application to output logs in CSV format, and add the necessary metadata to the CSV.
B. Install the Fluent Bit agent on each of your GKE nodes, and have the agent export all logs from /var/ log.
C. Change your application s logging library to the Cloud Logging library and configure your application to export logs to Cloud Logging
D. Update your application to output logs in JSON format, and add the necessary metadata to the JSON

Answer: A

NEW QUESTION # 271
You are writing a single-page web application with a user-interface that communicates with a third-party API for content using XMLHttpRequest. The data displayed on the UI by the API results is less critical than other data displayed on the same web page, so it is acceptable for some requests to not have the API data displayed in the UI. However, calls made to the API should not delay rendering of other parts of the user interface. You want your application to perform well when the API response is an error or a timeout.
What should you do?

A. Catch timeout or error exceptions from the API call and display the error response in the UI widget.
B. Set the asynchronous option for your requests to the API to false and omit the widget displaying the API results when a timeout or error is encountered.
C. Catch timeout or error exceptions from the API call and keep trying with exponential backoff until the API response is successful.
D. Set the asynchronous option for your request to the API to true and omit the widget displaying the API results when a timeout or error is encountered.

Answer: B

NEW QUESTION # 272
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