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You have developed a web application that serves traffic for a local event and are expecting unpredictable traffic. You have containerized the application, and you now want to deploy the application on Google Cloud.
You also want to minimize costs. What should you do?
A. Deploy the web application on Google Kubernetes Engine In Standard mode.
B. Deploy the web application as a Cloud Run service.
C. Deploy the web application on Google Kubernetes Engine in Autopilot mode.
D. Deploy the web application as a Cloud Run job.
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The key requirements are a containerized web application that handles unpredictable traffic and must minimize costs.
Cloud Run is the ideal solution because it is a fully managed, serverless platform for containers that automatically scales to zero instances when there is no traffic. This directly fulfills the cost requirement by eliminating charges for idle resources. It excels at handling unpredictable, bursty traffic.
GKE Standard and Autopilot (Options B and D) incur costs for the cluster or nodes even when not serving traffic (unless carefully scaled down), making them less cost-efficient than Cloud Run's native scale-to-zero for unpredictable, non-constant workloads.
Reference: Google Cloud Documentation - Cloud Run (Overview):
"Cloud Run is a managed compute platform that enables you to run containers that are invocable via HTTP requests... Because Cloud Run is serverless, it abstracts away all infrastructure management. It scales up or down automatically, including scaling to zero to minimize your cost."
NEW QUESTION # 42
You have a Google Cloud Platform account with access to both production and development projects. You need to create an automated process to list all compute instances in development and production projects on a daily basis. What should you do?
A. Go to Cloud Shell and export this information to Cloud Storage on a daily basis.
B. Go to GCP Console and export this information to Cloud SQL on a daily basis.
C. Create two configurations using gsutil config. Write a script that sets configurations as active, individually. For each configuration, use gsutil compute instances list to get a list of compute resources.
D. Create two configurations using gcloud config. Write a script that sets configurations as active, individually. For each configuration, use gcloud compute instances list to get a list of compute resources.
Answer: D
Explanation:
You can create two configurations - one for the development project and another for the production project.
And you do that by running "gcloud config configurations create" command. https://cloud.google.com/sdk/gcl ... nfigurations/create In your custom script, you can load these configurations one at a time and execute gcloud compute instances list to list Google Compute Engine instances in the project that is active in the gcloud configuration.
Ref: https://cloud.google.com/sdk/gcl ... pute/instances/list Once you have this information, you can export it in a suitable format to a suitable target e.g. export as CSV or export to Cloud Storage/BigQuery/SQL, etc
NEW QUESTION # 43
Your organization has strict requirements to control access to Google Cloud projects. You need to enable your Site Reliability Engineers (SREs) to approve requests from the Google Cloud support team when an SRE opens a support case. You want to follow Google-recommended practices. What should you do?
A. Add your SREs to roles/accessapproval approver role.
B. Add your SREs to roles/iam.roleAdmin role.
C. Add your SREs to a group and then add this group to roles/accessapproval approver role.
D. Add your SREs to a group and then add this group to roles/iam roleAdmin role.
Answer: C
Explanation:
Google recommended practices lead us to use groups rather than granting each individual SRE permissions.
NEW QUESTION # 44
Your company has embraced a hybrid cloud strategy where some of the applications are deployed on Google Cloud. A Virtual Private Network (VPN) tunnel connects your Virtual Private Cloud (VPC) in Google Cloud with your company's on-premises network. Multiple applications in Google Cloud need to connect to an on-premises database server, and you want to avoid having to change the IP configuration in all of your applications when the IP of the database changes.
What should you do?
A. Configure Cloud NAT for all subnets of your VPC to be used when egressing from the VM instances.
B. Configure the IP of the database as custom metadata for each instance,
C. Create a private zone on Cloud DNS, and configure the applications with the DNS name.
D. Query the Compute Engine internal DNS from the applications to retrieve the IP of the database.
Answer: A
NEW QUESTION # 45
You deployed an App Engine application using gcloud app deploy, but it did not deploy to the intended project. You want to find out why this happened and where the application deployed. What should you do?
A. Check the web-application.xml file for your application and check project settings.
B. Go to Deployment Manager and review settings for deployment of applications.
C. Check the app.yaml file for your application and check project settings.
D. Go to Cloud Shell and run gcloud config list to review the Google Cloud configuration used for deployment.
Answer: C
NEW QUESTION # 46
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