You are building an application that will run in your data center. The application will use Google Cloud Platform (GCP) services like AutoML. You created a service account that has appropriate access to AutoML. You need to enable authentication to the APIs from your on-premises environment. What should you do?

1. A. Use service account credentials in your on-premises application.
2. B. Use gcloud to create a key file for the service account that has appropriate permissions.
3. C. Set up direct interconnect between your data center and Google Cloud Platform to enable authentication for your on-premises applications.
4. D. Go to the IAM & admin console, grant a user account permissions similar to the service account permissions, and use this user account for authentication from your data center.

Correct Answer: B

Your learn wants to deploy a specific content management system (CMS) solution lo Google Cloud. You need a quick and easy way to deploy and install the solution. What should you do?

1. A. Search for the CMS solution in Google Cloud Marketplac
2. B. Use gcloud CLI to deploy the solution.
3. C. Search for the CMS solution in Google Cloud Marketplac
4. D. Deploy the solution directly from Cloud Marketplace.
5. E. Search for the CMS solution in Google Cloud Marketplac
6. F. Use Terraform and the Cloud Marketplace ID to deploy the solution with the appropriate parameters.
7. G. Use the installation guide of the CMS provide
8. H. Perform the installation through your configuration management system.

Correct Answer: B

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?

1. A. Cloud SQL
2. B. Cloud Spanner
3. C. Cloud Firestore
4. D. Cloud Datastore

Correct Answer: B
Cloud Spanner is a relational database and is highly scalable. Cloud Spanner is a highly scalable,
enterprise-grade, globally-distributed, and strongly consistent database service built for the cloud specifically to combine the benefits of relational database structure with a non-relational horizontal scale. This combination delivers high-performance transactions and strong consistency across rows, regions, and continents with an industry-leading 99.999% availability SLA, no planned downtime, and enterprise-grade security
Ref: https://cloud.google.com/spanner
Graphical user interface, application, Teams Description automatically generated

You have just created a new project which will be used to deploy a globally distributed application. You will use Cloud Spanner for data storage. You want to create a Cloud Spanner instance. You want to perform the first step in preparation of creating the instance. What should you do?

1. A. Grant yourself the IAM role of Cloud Spanner Admin
2. B. Create a new VPC network with subnetworks in all desired regions
3. C. Configure your Cloud Spanner instance to be multi-regional
4. D. Enable the Cloud Spanner API

Correct Answer: A
https://cloud.google.com/spanner/docs/getting-started/set-up

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?

1. A. Create a bash script that contains all requirement steps as gcloud commands
2. B. Develop templates for the environment using Cloud Deployment Manager
3. C. Use curl in a terminal to send a REST request to the relevant Google API for each individual resource.
4. D. Use the Cloud Console interface to provision and manage all related resources

Correct Answer: B
You can use Google Cloud Deployment Manager to create a set of Google Cloud resources and manage them as a unit, called a deployment. For example, if your team's development environment needs two virtual machines (VMs) and a BigQuery database, you can define these resources in a configuration file, and use Deployment Manager to create, change, or delete these resources. You can make the configuration file part of your team's code repository, so that anyone can create the same environment with consistent results. https://cloud.google.com/deployment-manager/docs/quickstart