Question 1

You are designing a system with three different environments: development, quality assurance (QA), and production. Each environment will be deployed with Terraform and has a Google Kubemetes Engine (GKE) cluster created so that application teams can deploy their applications. Anthos Config Management will be used and templated to deploy infrastructure level resources in each GKE cluster. All users (for example, infrastructure operators and application owners) will use GitOps. How should you structure your source control repositories for both Infrastructure as Code (laC) and application code?

Options :

A :

Cloud Infrastructure (Terraform) repository is shared: different directories are different environments GKE Infrastructure (Anthos Config Management Kustomize manifests) repository is shared: different overlay directories are different environments Application (app source code) repositories are separated: different branches are different features

B :

Cloud Infrastructure (Terraform) repository is shared: different directories are different environments GKE Infrastructure (Anthos Config Management Kustomize manifests) repositories are separated: different branches are different environments Application (app source code) repositories are separated: different branches are different features

C :

Cloud Infrastructure (Terraform) repository is shared: different branches are different environments GKE Infrastructure (Anthos Config Management Kustomize manifests) repository is shared: different overlay directories are different environments Application (app source code) repository is shared: different directories are different features

D :

Cloud Infrastructure (Terraform) repositories are separated: different branches are different environments GKE Infrastructure (Anthos Config Management Kustomize manifests) repositories are separated: different overlay directories are different environments Application (app source code) repositories are separated: different branches are different features

Answer: B

Question 2

As a Language translation app company, you have multiple production systems running on Compute Engine within one Google Cloud Platform (GCP) project. Each system contains its own dedicated Compute Engine instances. How can you determine the total cost of running each system?

Options :

A : Visualize the costs per system by utilizing the Cost Breakdown section in the Google Cloud Platform Console.

B : It is recommended to assign each virtual machine (VM) a name that corresponds to the system it operates. Additionally, you can establish a usage report export to a Cloud Storage bucket and configure the bucket as a source in BigQuery. This allows you to analyze costs associated with VM names.

C : Add system-specific metadata to all instances, set up Cloud Logging to export logs to BigQuery, and use the metadata to calculate costs through querying.

D : Make sure to label all instances with the name of the system they are running. Then, set up BigQuery billing export and query costs to be charged per label.

Answer: D

Question 3

What is an important feature that a monitoring system should have for displaying time series data?

Options :

A : Only displaying data in one format

B : No option to aggregate information

C : No configurable options

D : Capabilities to display data in different formats

Answer: D

Question 4

Your organization is starting to containerize with Google Cloud. You need a fully managed storage solution for container images and Helm charts. You need to identify a storage solution that has native integration into existing Google Cloud services, including Google Kubernetes Engine (GKE), Cloud Run, VPC Service Controls, and Identity and Access Management (IAM). What should you do?

Options :

A : Use Docker to configure a Cloud Storage driver pointed at the bucket owned by your organization.

B : Configure Container Registry as an OCI-based container registry for container images.

C :

Configure Artifact Registry as an OCI-based container registry for both Helm charts and container images.

D :

Configure Artifact Registry as an OCI-based container registry for both Helm charts and container images. control (RBAC) configuration.

Answer: C

Question 5

As a food delivery company, your team uses Cloud Build for all CI/CD pipelines. You want to use the kubectl builder for Cloud Build to deploy new images to Google Kubernetes Engine(GKE). You need to authenticate to GKE while minimizing development effort. What steps should you take?

Options :

A : To execute Cloud Build, generate a fresh service account with Container Developer privileges.

B : In the cloudbuild.yaml file, define the role of Container Developer for Cloud Build.

C : Grant the Cloud Build service account the role of a Container Developer.

D : In Cloud Build, add a distinct stage to fetch the service account credentials and transfer them to kubectl.

Answer: C