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Google Professional-Cloud-Developer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Certified Professional - Cloud Developer
Exam Number:	Professional-Cloud-Developer
Exam Duration:	120 minutes
Available Languages:	Japanese, English
Exam Price:	$200 USD
Related Certifications:	Google Cloud Certified - Professional Cloud DevOps Engineer Google Cloud Certified - Associate Cloud Engineer Google Cloud Certified - Professional Cloud Architect
Certificate Validity Period:	2 years
Exam Format:	Multiple Select, Multiple Choice
Real Exam Qty:	50-60
Sample Questions:	Google Professional-Cloud-Developer Sample Questions
Exam Way:	Online-proctored or onsite-proctored at a testing center
Pre Condition:	No formal prerequisites. Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-developer

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Google Professional-Cloud-Developer exam consists of 50 multiple-choice and multiple-select questions that must be completed within two hours. Professional-Cloud-Developer exam covers various topics related to the development of cloud-based applications, including application deployment, security, and scalability. Professional-Cloud-Developer Exam is designed to test the candidate's ability to develop and implement cloud-based solutions on the Google Cloud Platform.

Google Certified Professional - Cloud Developer Sample Questions (Q336-Q341):

NEW QUESTION # 336
Your infrastructure team is responsible for creating and managing Compute Engine VMs. Your team uses the Google Cloud console and gcloud CLI to provision resources for the development environment. You need to ensure that all Compute Engine VMs are labeled correctly for compliance reasons. In case of missing labels, you need to implement corrective actions so the labels are configured accordingly without changing the current deployment process. You want to use the most scalable approach. What should you do?

A. Write a script to check all Compute Engine VMs for missing labels regularly by using Cloud Scheduler. Use the script to assign the labels.
B. Check all Compute Engine VMs for missing labels regularly. Use the console to assign the labels.
C. Deploy resources with Terraform. Use the gcloud terraform vet command with a policy to ensure that every Compute Engine VM that is provisioned by Terraform has labels set.
D. Use a Cloud Audit Logs trigger to invoke a Cloud Run function when a Compute Engine VM is created. Check for missing labels and assign them if necessary.

Answer: D

Explanation:
https://cloud.google.com/architecture/single-zone-deployment-compute-engine

NEW QUESTION # 337
You are developing a new web application using Cloud Run and committing code to Cloud Source Repositories. You want to deploy new code in the most efficient way possible. You have already created a Cloud Build YAML file that builds a container and runs the following command: gcloud run deploy. What should you do next?

A. Create a build trigger that runs the build file in response to a repository code being pushed to the development branch.
B. Create a webhook build trigger that runs the build file in response to HTTP POST calls to the webhook URL.
C. Create a Cron job that runs the following command every 24 hours: gcloud builds submit.
D. Create a Pub/Sub topic to be notified when code is pushed to the repository. Create a Pub/Sub trigger that runs the build file when an event is published to the topic.

Answer: A

Explanation:
https://cloud.google.com/build/docs/triggers
Cloud Build uses build triggers to enable CI/CD automation. You can configure triggers to listen for incoming events, such as when a new commit is pushed to a repository or when a pull request is initiated, and then automatically execute a build when new events come in. You can also configure triggers to build code on any changes to your source repository or only on changes that match certain criteria.

NEW QUESTION # 338
You are building a storage layer for an analytics Hadoop cluster for your company. This cluster will run multiple jobs on a nightly basis, and you need to access the data frequently. You want to use Cloud Storage for this purpose. Which storage option should you choose?

A. Multi-regional storage
B. Nearline storage
C. Coldline storage
D. Regional storage

Answer: D

Explanation:
A is not correct because Multi-regional storage can place data in a region away from a Hadoop cluster. This would add latency to the requests made by the cluster.
B is correct.
C is not correct because Nearline storage is used if you need to access data only once a month.
D is not correct because Coldline storage is used if you need to access data only once a year.

NEW QUESTION # 339
You have been tasked with planning the migration of your company's application from on-premises to Google Cloud. Your company's monolithic application is an ecommerce website. The application will be migrated to microservices deployed on Google Cloud in stages. The majority of your company's revenue is generated through online sales, so it is important to minimize risk during the migration. You need to prioritize features and select the first functionality to migrate. What should you do?

A. Migrate the Shopping cart, which has integrations to the frontend, cart database, inventory system, and payment processing system.
B. Migrate Order fulfillment, which has integrations to the order database, inventory system, and third-party shipping vendor.
C. Migrate Payment processing, which has integrations to the frontend, order database, and third-party payment vendor.
D. Migrate the Product catalog, which has integrations to the frontend and product database.

Answer: D

NEW QUESTION # 340
You need to deploy resources from your laptop to Google Cloud using Terraform. Resources in your Google Cloud environment must be created using a service account. Your Cloud Identity has the roles/iam.serviceAccountTokenCreator Identity and Access Management (IAM) role and the necessary permissions to deploy the resources using Terraform. You want to set up your development environment to deploy the desired resources following Google-recommended best practices. What should you do?

A. 1) Run the following command from a command line: gcloud auth application-default login.
2) In the browser window that opens, authenticate using your personal credentials.
B. 1) Download the service account's key file in JSON format, and store it locally on your laptop.
2) Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path of your downloaded key file.
C. 1) Store the service account's key file in JSON format in Hashicorp Vault.
2) Integrate Terraform with Vault to retrieve the key file dynamically, and authenticate to Vault using a short-lived access token.
D. 1) Run the following command from a command line: gcloud config set
auth/impersonate_service_account service-account-name@project.iam.gserviceacccount.com.
2) Set the GOOGLE_OAUTH_ACCESS_TOKEN environment variable to the value that is returned by the gcloud auth print-access-token command.

Answer: C

Explanation:
https://cloud.google.com/iam/docs/best-practices-for-managing-service-account-keys#file-system Whenever possible, avoid storing service account keys on a file system. If you can't avoid storing keys on disk, make sure to restrict access to the key file, configure file access auditing, and encrypt the underlying disk.
https://cloud.google.com/iam/docs/best-practices-for-managing-service-account-keys#software-keystore In situations where using a hardware-based key store isn't viable, use a software-based key store to manage service account keys. Similar to hardware-based options, a software-based key store lets users or applications use service account keys without revealing the private key. Software-based key store solutions can help you control key access in a fine-grained manner and can also ensure that each key access is logged.

NEW QUESTION # 341
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