Free PDF 2026 Google Professional-Cloud-Developer: Reliable Exam Google Certified Professional - Cloud Developer Objectives

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Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionObjectives
Topic 1: Building and testing applications- Debugging and troubleshooting applications
- Application development on Google Cloud
- Unit and integration testing strategies
Topic 2: Ensuring application performance and reliability- Monitoring and logging (Cloud Monitoring, Cloud Logging)
- Performance optimization
- Fault tolerance and incident response
Topic 3: Designing cloud-native applications- Microservices design principles
- Scalability and resiliency patterns
- Application architecture design
Topic 4: Integrating Google Cloud services- Using managed services (Pub/Sub, Firestore, Cloud SQL)
- API integration and service-to-service communication
Topic 5: Deploying applications- CI/CD pipelines
- Release management strategies
- Containerization and deployment (Cloud Run, GKE)

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Google Certified Professional - Cloud Developer Sample Questions (Q293-Q298):

NEW QUESTION # 293
Case Study 1 - HipLocal
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it's time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data.
Existing Technical Environment
HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. The HipLocal team understands their application well, but has limited experience in global scale applications. Their existing technical environment is as follows:
* Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
* State is stored in a single instance MySQL database in GCP.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
* Expand availability of the application to new regions.
* Increase the number of concurrent users that can be supported.
* Ensure a consistent experience for users when they travel to different regions.
* Obtain user activity metrics to better understand how to monetize their product.
* Ensure compliance with regulations in the new regions (for example, GDPR).
* Reduce infrastructure management time and cost.
* Adopt the Google-recommended practices for cloud computing.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
HipLocal's data science team wants to analyze user reviews.
How should they prepare the data?

Answer: D

Explanation:
https://cloud.google.com/architecture/de-identification-re-identification-pii-using-cloud-dlp De-identification of PII in large-scale datasets using Cloud DLP.
Cloud DLP enables transformations such as redaction, masking, tokenization, bucketing, and other methods of de-identification.


NEW QUESTION # 294
You are developing a new API that creates requests on an asynchronous message service.
Requests will be consumed by different services. You need to expose the API by using a gRPC interface while minimizing infrastructure management overhead. How should you deploy the API?

Answer: D

Explanation:
https://techcommunity.microsoft.com/t5/azure-integration-services-blog/introducing-grpc-api- support-in-azure-api-management-self-hosted/ba-p/3975087


NEW QUESTION # 295
Your company wants to expand their users outside the United States for their popular application. The company wants to ensure 99.999% availability of the database for their application and also wants to minimize the read latency for their users across the globe.
Which two actions should they take? (Choose two.)

Answer: A,C


NEW QUESTION # 296
The new version of your containerized application has been tested and is ready to deploy to production on Google Kubernetes Engine. You were not able to fully load-test the new version in pre-production environments, and you need to make sure that it does not have performance problems once deployed. Your deployment must be automated. What should you do?

Answer: B

Explanation:
https://cloud.google.com/architecture/implementing-deployment-and-testing-strategies-on-gke#perform_a_blueg


NEW QUESTION # 297
You have an application that uses an HTTP Cloud Function to process user activity from both desktop browser and mobile application clients. This function will serve as the endpoint for all metric submissions using HTTP POST.
Due to legacy restrictions, the function must be mapped to a domain that is separate from the domain requested by users on web or mobile sessions. The domain for the Cloud Function is https://fn.example.com.
Desktop and mobile clients use the domain https://www.example.com. You need to add a header to the function's HTTP response so that only those browser and mobile sessions can submit metrics to the Cloud Function. Which response header should you add?

Answer: B


NEW QUESTION # 298
......

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