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Important Details

The candidates for this certification are the Cloud developers who have competence in building highly available and scalable apps with the Google-recommended tools and practices. They also have proficiency in a minimum of one general-purpose programming language. It is recommended that the individuals for the Professional Cloud Developer certificate have at least three years of practical experience with Google Cloud solutions and products. They should also possess at least one year of designing and managing solutions with the use of GCP. Please note that you should also understand the content of the prerequisite exam before attempting it.

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Google Professional-Cloud-Developer Certification is highly valued in the industry and is recognized globally as a testament to the candidate's expertise in developing applications on the Google Cloud Platform. It provides a competitive edge to the candidate in the job market and opens up new career opportunities in cloud-native application development. Besides, the certification also helps the candidate gain credibility among peers and clients, demonstrating their commitment to staying up-to-date with the latest industry trends and best practices in cloud-native application development.

Google Certified Professional - Cloud Developer Sample Questions (Q155-Q160):

NEW QUESTION # 155
You are building a mobile application that will store hierarchical data structures in a database. The application will enable users working offline to sync changes when they are back online. A backend service will enrich the data in the database using a service account. The application is expected to be very popular and needs to scale seamlessly and securely. Which database and IAM role should you use?

A. Use Bigtable, and assign the roles/bigtable.viewer role to the service account.
B. Use Firestore in Native mode and assign the roles/datastore.user role to the service account.
C. Use Firestore in Datastore mode and assign the roles/datastore.viewer role to the service account.
D. Use Cloud SQL, and assign the roles/cloudsql.editor role to the service account.

Answer: B

Explanation:
https://firebase.google.com/docs/firestore/manage-data/enable-offline
Cloud Firestore supports offline data persistence. This feature caches a copy of the Cloud Firestore data that your app is actively using, so your app can access the data when the device is offline. You can write, read, listen to, and query the cached data. When the device comes back online, Cloud Firestore synchronizes any local changes made by your app to the Cloud Firestore backend.

NEW QUESTION # 156
Your team develops services that run on Google Cloud. You need to build a data processing service and will use Cloud Functions. The data to be processed by the function is sensitive. You need to ensure that invocations can only happen from authorized services and follow Google-recommended best practices for securing functions. What should you do?

A. Create a service account with the Cloud Functions Invoker role. Use that service account to invoke the function.
B. Create a service account with the Cloud Functions Viewer role. Use that service account to invoke the function.
C. Create an OAuth 2.0 client ID for your calling service in the same project as the function you want to secure. Use those credentials to invoke the function.
D. Enable Identity-Aware Proxy in your project. Secure function access using its permissions.

Answer: A

Explanation:
Reference:
https://medium.com/google-cloud/how-to-securely-invoke-a-cloud-function-from-google-kubernetes-engine-run

NEW QUESTION # 157
You need to migrate a standalone Java application running in an on-premises Linux virtual machine (VM) to Google Cloud in a cost-effective manner. You decide not to take the lift-and-shift approach, and instead you plan to modernize the application by converting it to a container. How should you accomplish this task?

A. Export the VM as a raw disk and import it as an image. Create a Compute Engine instance from the Imported image.
B. Use Migrate for Compute Engine to migrate the VM to a Compute Engine instance, and use Cloud Build to convert it to a container.
C. Use Migrate for Anthos to migrate the VM to your Google Kubernetes Engine (GKE) cluster as a container.
D. Use Jib to build a Docker image from your source code, and upload it to Artifact Registry. Deploy the application in a GKE cluster, and test the application.

Answer: D

Explanation:
Explanation
https://cloud.google.com/blog/products/application-development/introducing-jib-build-java-docker-images-bette

NEW QUESTION # 158
You are a developer at a large organization. You are deploying a web application to Google Kubernetes Engine (GKE). The DevOps team has built a CI/CD pipeline that uses Cloud Deploy to deploy the application to Dev Test, and Prod clusters in GKE. After Cloud Deploy successfully deploys the application to the Dev cluster you want to automatically promote it to the Test Cluster. How should you configure this process following Google-recommended best practices?

A. 1 Create a Cloud Function that calls the Google Cloud Deploy API to promote the application to the Test cluster
2 Configure this function to be triggered by SUCCEEDED Pub/Sub messages from the clouddeploy operations topic
B. 1 Create a Cloud Function that calls the Google Cloud Deploy API to promote the application to the Test cluster
2 Configure this function to be triggered by SUCCEEDED Pub/Sub messages from the cloud-builds topic
C. 1 Create a Cloud Build trigger that listens for SUCCEEDED Pub/Sub messages from the clouddeploy-operations topic.
2 Configure Cloud Build to include a step that promotes the application to the Test cluster
D. 1 Create a Cloud Build pipeline that uses the gke-deploy builder
2 Create a Cloud Build trigger that listens to SUCCEEDED Pub/Sub messages from the cloud-builds topic

Answer: B

Explanation:
3 Configure this pipeline to run a deployment step to the Test cluster

NEW QUESTION # 159
You are using Cloud Build build to promote a Docker image to Development, Test, and Production environments. You need to ensure that the same Docker image is deployed to each of these environments.
How should you identify the Docker image in your build?

A. Use a semantic version Docker image tag.
B. Use the latest Docker image tag.
C. Use a unique Docker image name.
D. Use the digest of the Docker image.

Answer: A

Explanation:
Explanation/Reference:

NEW QUESTION # 160
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