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Google Professional-Cloud-Developer (Google Certified Professional - Cloud Developer) Exam is a certification exam that is designed for individuals who have experience in developing and deploying applications on the Google Cloud Platform. Professional-Cloud-Developer exam is intended to test the candidate's proficiency in designing, building, and deploying scalable and highly available applications using Google Cloud technologies. Google Certified Professional - Cloud Developer certification is recognized globally and is an excellent way to demonstrate your expertise in cloud development.

Google Certified Professional - Cloud Developer Sample Questions (Q309-Q314):

NEW QUESTION # 309
You are developing an event-driven application. You have created a topic to receive messages sent to Pub/Sub. You want those messages to be processed in real time. You need the application to be independent from any other system and only incur compute costs when new messages arrive. You want to configure the simplest and most efficient architecture What should you do?

A. Deploy the application on Compute Engine. Use a Pub/Sub push subscription to process new messages in the topic.
B. Deploy your code on Cloud Functions. Use a Pub/Sub trigger to handle new messages in the topic.
C. Deploy your code on Cloud Functions. Use a Pub/Sub trigger to invoke the Cloud Function. Use the Pub/Sub API to create a pull subscription to the Pub/Sub topic and read messages from it.
D. Deploy the application on Google Kubernetes Engine. Use the Pub/Sub API to create a pull subscription to the Pub/Sub topic and read messages from it

Answer: B

Explanation:
https://cloud.google.com/functions/docs/calling/pubsub

NEW QUESTION # 310
Which service should HipLocal use for their public APIs?

A. Cloud Functions
B. Shielded Virtual Machines
C. Cloud Endpoints
D. Cloud Armor

Answer: B

NEW QUESTION # 311
You work for a financial services company that has a container-first approach. Your team develops microservices applications. A Cloud Build pipeline creates the container image, runs regression tests, and publishes the image to Artifact Registry. You need to ensure that only containers that have passed the regression tests are deployed to Google Kubernetes Engine (GKE) clusters. You have already enabled Binary Authorization on the GKE clusters. What should you do next?

A. Deploy Voucher Server and Voucher Client components. After a container image has successfully passed the regression tests, run Voucher Client as a step in the Cloud Build pipeline.
B. Create an attestor and a policy. Create an attestation for the container images that have passed the regression tests as a step in the Cloud Build pipeline.
C. Set the Pod Security Standard level to Restricted for the relevant namespaces. Use Cloud Build to digitally sign the container images that have passed the regression tests.
D. Create an attestor and a policy. After a container image has successfully passed the regression tests, use Cloud Build to run Kritis Signer to create an attestation for the container image.

Answer: D

Explanation:
Kritis Signer is an open source command-line tool that can create Binary Authorization attestations based on a policy that you configure. You can also use Kritis Signer to create attestations after checking an image for vulnerabilities identified by Container Analysis.
https://cloud.google.com/binary-authorization/docs/creating-attestations-kritis

NEW QUESTION # 312
You are a developer at a financial institution You use Cloud Shell to interact with Google Cloud services. User data is currently stored on an ephemeral disk however a recently passed regulation mandates that you can no longer store sensitive information on an ephemeral disk. You need to implement a new storage solution for your user data You want to minimize code changes Where should you store your user data'?

A. Store user data in a Cloud Storage bucket
B. Store user data on a persistent disk in a Compute Engine instance
C. Store user data m BigQuery tables
D. Store user data on a Cloud Shell home disk and log in at least every 120 days to prevent its deletion

Answer: B

NEW QUESTION # 313
You are deploying a microservices application to Google Kubernetes Engine (GKE). The application will receive daily updates. You expect to deploy a large number of distinct containers that will run on the Linux operating system (OS). You want to be alerted to any known OS vulnerabilities in the new containers. You want to follow Google-recommended best practices. What should you do?

A. Use the Container Analysis REST API to call Container Analysis to scan new container images. Review the vulnerability results before each deployment.
B. Use the gcloud CLI to call Container Analysis to scan new container images. Review the vulnerability results before each deployment.
C. Enable Container Analysis, and upload new container images to Artifact Registry. Review the critical vulnerability results before each deployment.
D. Enable Container Analysis, and upload new container images to Artifact Registry. Review the vulnerability results before each deployment.

Answer: D

Explanation:
Explanation
https://cloud.google.com/container-analysis/docs/automated-scanning-howto
https://cloud.google.com/container-analysis/docs/os-overview says: The Container Scanning API allows you to automate OS vulnerability detection, scanning each time you push an image to Container Registry or Artifact Registry. Enabling this API also triggers language package scans for Go and Java vulnerabilities (Preview).

NEW QUESTION # 314
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