Free Access Google.Associate-Cloud-Engineer.v2022-07-24.q230 Practice Test (Page 11)

Question 46

Your company uses BigQuery for data warehousing. Over time, many different business units in your company have created 1000+ datasets across hundreds of projects. Your CIO wants you to examine all datasets to find tables that contain an employee_ssn column. You want to minimize effort in performing this task. What should you do?

A.Go to Data Catalog and search for employee_ssn in the search box.

B.Write a shell script that uses the bq command line tool to loop through all the projects in your organization.

C.Write a script that loops through all the projects in your organization and runs a query on INFORMATION_SCHEMA.COLUMNS view to find the employee_ssn column.

D.Write a Cloud Dataflow job that loops through all the projects in your organization and runs a query on INFORMATION_SCHEMA.COLUMNS view to find employee_ssn column.

Question 47

You're using Deployment Manager to deploy your application to an autoscaled, managed instance group on Compute Engine. The application is a single binary, What is the fastest way to get the binary onto the instance, without introducing undue complexity?

A.Use a "golden image" that contains everything you need.

B.Once the instance starts up, connect over SSH and install the application.

C.When creating the instance template use the startup script metadata key to bootstrap the application.

D.When creating the instance template, use the startup script metadata key to install Ansible. Have the instance run the play-book at startup to install the application.

Question 48

You are building an application that stores relational data from users. Users across the globe will use this application. Your CTO is concerned about the scaling requirements because the size of the user base is unknown. You need to implement a database solution that can scale with your user growth with minimum configuration changes. Which storage solution should you use?

A.Cloud Firestore

B.Cloud SQL

C.Cloud Datastore

D.Cloud Spanner

Question 49

You are hosting an application on bare-metal servers in your own data center. The application needs access to Cloud Storage. However, security policies prevent the servers hosting the application from having public IP addresses or access to the internet. You want to follow Google-recommended practices to provide the application with access to Cloud Storage. What should you do?

A.1. Use Migrate for Compute Engine (formerly known as Velostrata) to migrate those servers to Compute Engine.2. Create an internal load balancer (ILB) that uses storage.googleapis.com as backend.3. Configure your new instances to use this ILB as proxy.

B.1. Using Cloud VPN, create a VPN tunnel to a Virtual Private Cloud (VPC) in Google Cloud Platform (GCP).2. In this VPC, create a Compute Engine instance and install the Squid proxy server on this instance.3. Configure your servers to use that instance as a proxy to access Cloud Storage.

C.1. Using Cloud VPN or Interconnect, create a tunnel to a VPC in GCP.2. Use Cloud Router to create a custom route advertisement for 199.36.153.4/30. Announce that network to your on-premises network through the VPN tunnel.3. In your on-premises network, configure your DNS server to resolve *.googleapis.com as a CNAME to restricted.googleapis.com.

D.1. Use nslookup to get the IP address for storage.googleapis.com.2. Negotiate with the security team to be able to give a public IP address to the servers.3. Only allow egress traffic from those servers to the IP addresses for storage.googleapis.com.

Question 50

Your company uses a large number of Google Cloud services centralized in a single project. All teams have specific projects for testing and development. The DevOps team needs access to all of the production services in order to perform their job. You want to prevent Google Cloud product changes from broadening their permissions in the future. You want to follow Google-recommended practices. What should you do?

A.Grant all members of the DevOps team the role of Project Editor on the production project.

B.Create a custom role that combines the required permissions. Grant the DevOps team the custom role on the organization level.

C.Grant all members of the DevOps team the role of Project Editor on the organization level.

D.Create a custom role that combines the required permissions. Grant the DevOps team the custom role on the production project.

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