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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 Format:	Multiple select, Multiple choice, Case study
Related Certifications:	Google Cloud Certified - Associate Cloud Engineer Google Cloud Certified - Professional Cloud Architect
Exam Price:	$200 USD (may vary by region and taxes)
Certificate Validity Period:	2 years
Real Exam Qty:	Approximately 50–60 questions
Available Languages:	English, Japanese
Exam Duration:	120 minutes
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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Google Professional-Cloud-Developer exam is designed to test the competency of developers in designing, developing, and deploying highly scalable, reliable, and maintainable applications in the cloud using Google Cloud Platform (GCP). Google Certified Professional - Cloud Developer certification is intended for professionals who have a deep understanding of cloud-native applications and can use GCP services, tools, and best practices to develop and manage cloud applications. Professional-Cloud-Developer Exam measures the candidate's ability to design and develop solutions that meet the requirements of cloud-native applications, including scalability, resiliency, and security.

Google Certified Professional - Cloud Developer Sample Questions (Q323-Q328):

NEW QUESTION # 323
You are using Cloud Build to create a new Docker image on each source code commit to a Cloud Source Repositories repository. Your application is built on every commit to the master branch. You want to release specific commits made to the master branch in an automated method.
What should you do?

A. Manually trigger the build for new releases.
B. Commit your source code to a second Cloud Source Repositories repository with a second Cloud Build trigger. Use this repository for new releases only.
C. Create a build trigger on a Git branch name pattern. Use a Git branch naming convention for new releases.
D. Create a build trigger on a Git tag pattern. Use a Git tag convention for new releases.

Answer: C

Explanation:
Explanation/Reference: https://docs.docker.com/docker-hub/builds/

NEW QUESTION # 324
You
are deploying a single website on App Engine that needs to be accessible via the URL
http://www.altostrat.com/. What should you do?

A. Define a mapping in dispatch.yaml to point the domain www.altostrat.com to your App Engine service. Create a DNS CNAME record to point to the App Engine canonical name ghs.googlehosted.com.
B. Verify domain ownership with Webmaster Central. Create a DNS CNAME record to point to the App Engine canonical name ghs.googlehosted.com.
C. Verify domain ownership with Webmaster Central. Define an A record pointing to the single global App Engine IP address.
D. Define a mapping in dispatch.yaml to point the domain www.altostrat.com to your App Engine service. Define an A record pointing to the single global App Engine IP address.

Answer: B

Explanation:
Reference: https://cloud.google.com/appengine/docs/flexible/dotnet/mapping-custom-domains?hl=fa

NEW QUESTION # 325
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 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.
B. Enable Identity-Aware Proxy in your project. Secure function access using its permissions.
C. Create a service account with the Cloud Functions Invoker role. Use that service account to invoke the function.
D. Create a service account with the Cloud Functions Viewer role. Use that service account to invoke the function.

Answer: C

Explanation:
https://cloud.google.com/functions/docs/securing#authentication
https://cloud.google.com/functions/docs/reference/iam/roles#cloud-functions-roles

NEW QUESTION # 326
You are deploying a microservices application to Google Kubernetes Engine (GKE) that will broadcast livestreams. You expect unpredictable traffic patterns and large variations in the number of concurrent users. Your application must meet the following requirements:
- Scales automatically during popular events and maintains high
availability
- Is resilient in the event of hardware failures
How should you configure the deployment parameters? (Choose two.)

A. Distribute your workload evenly using multiple zonal node pools.
B. Use cluster autoscaler to resize the number of nodes in the node pool, and use a Horizontal Pod Autoscaler to scale the workload.
C. Distribute your workload evenly using a multi-zonal node pool.
D. Create alerting policies in Cloud Monitoring based on GKE CPU and memory utilization. Ask an on-duty engineer to scale the workload by executing a script when CPU and memory usage exceed predefined thresholds.
E. Create a managed instance group for Compute Engine with the cluster nodes. Configure autoscaling rules for the managed instance group.

Answer: B,C

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/planning-scalability#choosing_multi- zonal_or_single-zone_node_pools

NEW QUESTION # 327
You are using Cloud Build to build a Docker image. You need to modify the build to execute unit and run integration tests. When there is a failure, you want the build history to clearly display the stage at which the build failed.
What should you do?

A. Create a Cloud Build build config file with separate cloud builder steps to compile and execute unit and integration tests.
B. Create a Cloud Build build config file that will spawn a separate cloud build pipeline for unit and integration tests.
C. Add RUN commands in the Dockerfile to execute unit and integration tests.
D. Create a Cloud Build build config file with a single build step to compile unit and integration tests.

Answer: A

Explanation:
https://cloud.google.com/build/docs/build-config-file-schema
A build step specifies an action that you want Cloud Build to perform. For each build step, Cloud Build executes a docker container as an instance of docker run. Build steps are analogous to commands in a script and provide you with the flexibility of executing arbitrary instructions in your build.

NEW QUESTION # 328
......

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