Free Access Google.Associate-Cloud-Engineer.v2023-04-01.q81 Practice Test (Page 5)

Question 16

You built an application on your development laptop that uses Google Cloud services. Your application uses Application Default Credentials for authentication and works fine on your development laptop. You want to migrate this application to a Compute Engine virtual machine (VM) and set up authentication using Google- recommended practices and minimal changes. What should you do?

A.Store credentials for service accounts with appropriate access for Google services in a config file, and deploy this config file with your application.

B.Create a service account with appropriate access for Google services, and configure the application to use this account.

C.Assign appropriate access for Google services to the service account used by the Compute Engine VM.

D.Store credentials for your user account with appropriate access for Google services in a config file, and deploy this config file with your application.

Question 17

Your company wants to standardize the creation and management of multiple Google Cloud resources using Infrastructure as Code. You want to minimize the amount of repetitive code needed to manage the environment What should you do?

A.Use the Cloud Console interface to provision and manage all related resources

B.Develop templates for the environment using Cloud Deployment Manager

C.Use curl in a terminal to send a REST request to the relevant Google API for each individual resource.

D.Create a bash script that contains all requirement steps as gcloud commands

Question 18

Your web application has been running successfully on Cloud Run for Anthos. You want to evaluate an updated version of the application with a specific percentage of your production users (canary deployment). What should you do?

A.Create a new service with the new version of the application. Split traffic between this version and the version that is currently running.

B.Create a new revision with the new version of the application. Split traffic between this version and the version that is currently running.

C.Create a new service with the new version of the application. Add an HTTP Load Balancer in front of both services.

D.Create a new revision with the new version of the application. Add an HTTP Load Balancer in front of both revisions.

Question 19

You want to deploy an application on Cloud Run that processes messages from a Cloud Pub/Sub topic. You want to follow Google-recommended practices. What should you do?

A.1. Create a service account.2. Give the Cloud Run Invoker role to that service account for your Cloud Run application.3. Create a Cloud Pub/Sub subscription that uses that service account and uses your Cloud Run application as the push endpoint.

B.1. Deploy your application on Cloud Run on GKE with the connectivity set to Internal.2. Create a Cloud Pub/Sub subscription for that topic.3. In the same Google Kubernetes Engine cluster as your application, deploy a container that takes the messages and sends them to your application.

C.1. Create a Cloud Function that uses a Cloud Pub/Sub trigger on that topic.2. Call your application on Cloud Run from the Cloud Function for every message.

D.1. Grant the Pub/Sub Subscriber role to the service account used by Cloud Run.2. Create a Cloud Pub/Sub subscription for that topic.3. Make your application pull messages from that subscription.

Question 20

Your company implemented BigQuery as an enterprise data warehouse. Users from multiple business units run queries on this data warehouse. However, you notice that query costs for BigQuery are very high, and you need to control costs. Which two methods should you use? (Choose two.)

A.Create separate copies of your BigQuery data warehouse for each business unit.

B.Change your BigQuery query model from on-demand to flat rate. Apply the appropriate number of slots to each Project.

C.Split your BigQuery data warehouse into multiple data warehouses for each business unit.

D.Apply a user- or project-level custom query quota for BigQuery data warehouse.

E.Split the users from business units to multiple projects.

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