[2024-Feb-New]Braindump2go Professional-Cloud-Developer PDF Dumps(102-268)
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QUESTION 246<br />
You are a developer at a large organization. You are deploying a web application to Google Kubernetes Engine (GKE).<br />
The DevOps team has built a CI/CD pipeline that uses <strong>Cloud</strong> Deploy to deploy the application to Dev, Test, and Prod<br />
clusters in GKE. After <strong>Cloud</strong> Deploy successfully deploys the application to the Dev cluster, you want to automatically<br />
promote it to the Test cluster. How should you configure this process following Google-recommended best practices?<br />
A. 1. Create a <strong>Cloud</strong> Build trigger that listens for SUCCEEDED Pub/Sub messages from the<br />
clouddeploy-operations topic.<br />
2. Configure <strong>Cloud</strong> Build to include a step that promotes the application to the Test cluster.<br />
B. 1. Create a <strong>Cloud</strong> Function that calls the Google <strong>Cloud</strong> Deploy API to promote the application to<br />
the Test cluster.<br />
2. Configure this function to be triggered by SUCCEEDED Pub/Sub messages from the cloudbuilds<br />
topic.<br />
C. 1. Create a <strong>Cloud</strong> Function that calls the Google <strong>Cloud</strong> Deploy API to promote the application to<br />
the Test cluster.<br />
2. Configure this function to be triggered by SUCCEEDED Pub/Sub messages from the<br />
clouddeploy-operations topic.<br />
D. 1. Create a <strong>Cloud</strong> Build pipeline that uses the gke-deploy builder.<br />
2. Create a <strong>Cloud</strong> Build trigger that listens for SUCCEEDED Pub/Sub messages from the cloudbuilds<br />
topic.<br />
3. Configure this pipeline to run a deployment step to the Test cluster.<br />
Answer: C<br />
Explanation:<br />
https://cloud.google.com/functions/docs/calling/pubsub<br />
QUESTION 247<br />
Your application is running as a container in a Google Kubernetes Engine cluster. You need to add a secret to your<br />
application using a secure approach. What should you do?<br />
A. Create a Kubernetes Secret, and pass the Secret as an environment variable to the container.<br />
B. Enable Application-layer Secret Encryption on the cluster using a <strong>Cloud</strong> Key Management<br />
Service (KMS) key.<br />
C. Store the credential in <strong>Cloud</strong> KMS. Create a Google service account (GSA) to read the credential<br />
from <strong>Cloud</strong> KMS. Export the GSA as a .json file, and pass the .json file to the container as a<br />
volume which can read the credential from <strong>Cloud</strong> KMS.<br />
D. Store the credential in Secret Manager. Create a Google service account (GSA) to read the<br />
credential from Secret Manager. Create a Kubernetes service account (KSA) to run the container.<br />
Use Workload Identity to configure your KSA to act as a GSA.<br />
Answer: D<br />
Explanation:<br />
https://kubernetes.io/docs/concepts/configuration/secret/<br />
QUESTION 248<br />
You are a developer at a financial institution. You use <strong>Cloud</strong> Shell to interact with Google <strong>Cloud</strong> services. User data is<br />
currently stored on an ephemeral disk; however, a recently passed regulation mandates that you can no longer store<br />
sensitive information on an ephemeral disk. You need to implement a new storage solution for your user data. You<br />
want to minimize code changes. Where should you store your user data?<br />
A. Store user data on a <strong>Cloud</strong> Shell home disk, and log in at least every 120 days to prevent its<br />
deletion.<br />
B. Store user data on a persistent disk in a Compute Engine instance.<br />
C. Store user data in a <strong>Cloud</strong> Storage bucket.<br />
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