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Google Professional-Cloud-Developer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified Professional Cloud Developer Exam
Exam Number:	Professional Cloud Developer
Exam Duration:	120 minutes
Exam Price:	$200 USD (may vary by region and taxes)
Related Certifications:	Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Associate Cloud Engineer
Exam Format:	Case study, Multiple choice, Multiple select
Certificate Validity Period:	2 years
Real Exam Qty:	Approximately 50–60 questions
Available Languages:	English, Japanese
Recommended Training:	Official Google Cloud Certification Training Path Google Cloud Skills Boost - Professional Cloud Developer
Exam Registration:	Kryterion Webassessor Portal Official Google Cloud Certification Registration
Sample Questions:	Google Professional-Cloud-Developer Sample Questions
Exam Way:	Online proctored exam (remote) or onsite test center via Kryterion Webassessor
Pre Condition:	No formal prerequisites required. Recommended: 3+ years industry experience including 1+ year designing and managing solutions on Google Cloud.
Official Syllabus URL:	https://cloud.google.com/certification/cloud-developer

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Section 2: Building & Testing Apps

To answer the questions related to this section, the test takers should be capable of setting up their local development environment as well as writing efficient code. It also measures the ability of the candidates to perform testing, including unit testing, integration testing, performance testing, and load testing. They should also demonstrate that they know how to perform building. This involves executing source control management; creating secure container images from code; developing a continuous integration pipeline with the help of services that construct deployment artifacts; reviewing & improving continuous integration pipeline effectiveness.

Google Certified Professional - Cloud Developer Sample Questions (Q41-Q46):

NEW QUESTION # 41
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 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.
B. 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.
C. 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.
D. 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.

Answer: B

Explanation:
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 # 42
Your code is running on Cloud Functions in project A.
It is supposed to write an object in a Cloud Storage bucket owned by project B. However, the write call is failing with the error "403 Forbidden".
What should you do to correct the problem?

A. Grant your user account the roles/storage.objectCreator role for the Cloud Storage bucket.
B. Grant the service-PROJECTA@gcf-admin-robot.iam.gserviceaccount.com service account the roles/ storage.objectCreator role for the Cloud Storage bucket.
C. Enable the Cloud Storage API in project B.
D. Grant your user account the roles/iam.serviceAccountUser role for the service-PROJECTA@gcf-adminrobot.
iam.gserviceaccount.com service account.

Answer: D

NEW QUESTION # 43
You recently deployed an API to process hotel room requests. You need to enforce a quota on incoming API requests that allows no more than 1000 API search requests by each customer for every successful booking by that customer. You want the quota to reset every 24 hours. You want to prioritize the speed of the API over allowing exactly 1000 searches for every booking.
What should you do?

A. Store a query counter in memory that counts the number of search requests by each customer.
Reset the counter to zero when a booking occurs or 24 hours have passed. Deny a search request if the user's counter is over 1000.
B. Configure an Apigee Quota policy with the Synchronous setting set to false. Reset the quota on every booking or when 24 hours have passed.
C. In BigQuery, store a table row for each search and booking request along with the customer ID and current time. Query the table for the number of prior search and booking requests made in the last 24 hours. Deny the search request if the number of prior search requests is 1000 times more than the number of prior booking requests.
D. Store a query counter in a Firestore document that uses the customer ID as the key. Reset the counter to zero when a booking occurs or 24 hours have passed. Deny a search request if the user's counter is over 1000.

Answer: B

Explanation:
An Apigee Quota policy with the Synchronous setting set to false efficiently enforces quotas with high performance, prioritizing API speed. It allows quota resets based on bookings or time, as required, even if the enforcement is not perfectly exact.

NEW QUESTION # 44
You are developing a short-term image hosting service where end users around the world can upload images that are up to 20MB, and the images will be automatically deleted after 10 days.
You need to determine how the images should be stored while minimizing cost. How should you store the images?

A. Write the images to Firestore. Deploy a Cloud Scheduler-invoked Cloud Run service that queries for documents written 10 days prior to today and deletes them.
B. Write the images to Spanner. Configure a row deletion policy on the table that deletes rows 10 days older than their creation date.
C. Write the images to Bigtable. Configure a garbage collection policy for the column family that deletes cells 10 days older than their creation date.
D. Write the image to a Cloud Storage bucket. Create a lifecycle configuration that deletes objects
10 days older than their creation date.

Answer: D

Explanation:
Cloud Storage is a cost-effective solution for storing large objects like images, especially for short-term storage. By configuring a lifecycle policy, you can automatically delete objects after 10 days, aligning perfectly with your requirement to remove images after that period. This approach minimizes cost by avoiding the need for active management or scheduled deletion processes.
Using Spanner, Firestore, or Bigtable would generally be more expensive and less optimal for storing large files like images, as these services are better suited for structured or semi-structured data rather than binary objects (such as images).

NEW QUESTION # 45
Your development team has been tasked with maintaining a .NET legacy application. The application incurs occasional changes and was recently updated. Your goal is to ensure that the application provides consistent results while moving through the CI/CD pipeline from environment to environment. You want to minimize the cost of deployment while making sure that external factors and dependencies between hosting environments are not problematic. Containers are not yet approved in your organization. What should you do?

A. Rewrite the application using .NET Core, and deploy to Cloud Run. Use revisions to separate the environments.
B. Deploy the application using MS Web Deploy, and make sure to always use the latest, patched MS Windows Server base image in Compute Engine.
C. Use Cloud Build to deploy the application as a new Compute Engine image for each build. Use this image in each environment.
D. Use Cloud Build to package the application, and deploy to a Google Kubernetes Engine cluster. Use namespaces to separate the environments.

Answer: C

Explanation:
Explanation
https://cloud.google.com/architecture/modernization-path-dotnet-applications-google-cloud#phase_1_rehost_in_
https://cloud.google.com/architecture/modernization-path-dotnet-applications-google-cloud

NEW QUESTION # 46
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