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Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Developer Sample Questions (Q81-Q86):

NEW QUESTION # 81
Your team has created an application that is hosted on a GKE cluster. You need to connect the application to a REST service that is deployed in two GKE clusters in two different regions. How should you set up the connection and health checks? (Choose two.)

Answer: C,E

Explanation:
Use Cloud Service Mesh with sidecar proxies: Cloud Service Mesh (based on Istio) is an effective solution for connecting services across multiple GKE clusters and regions. The sidecar proxies can manage and secure traffic between the application and the REST service, providing features like traffic routing, observability, and resilience.
Configure the REST service's firewall to allow health checks originating from the GKE check probe's IP ranges: Health checks for services deployed in GKE often originate from specific probe IP ranges. Configuring the firewall to allow these probes ensures that health checks can pass through to the REST service, allowing GKE to monitor the availability and health of the REST service effectively.
Options involving proxyless gRPC and control plane IP ranges are not applicable for REST services and are not the best practices for managing firewall rules for health checks in this context.


NEW QUESTION # 82
You are developing a corporate tool on Compute Engine for the finance department, which needs to authenticate users and verify that they are in the finance department. All company employees use G Suite.
What should you do?

Answer: D

Explanation:
https://cloud.google.com/iap/docs/signed-headers-howto#securing_iap_headers (https://cloud.google.com/endpoints/docs/openapi/authenticating-users-google-id).
https://cloud.google.com/armor/docs/security-policy-overview#:~:text=Google%20Cloud%20Armor%20security
"Google Cloud Armor security policies protect your application by providing Layer 7 filtering and by scrubbing incoming requests for common web attacks or other Layer 7 attributes to potentially block traffic before it reaches your load balanced backend services or backend buckets"


NEW QUESTION # 83
Your website is deployed on Compute Engine. Your marketing team wants to test conversion rates between 3 different website designs.
Which approach should you use?

Answer: B

Explanation:
Reference:
https://cloud.google.com/appengine/docs/standard/python/splitting-traffic


NEW QUESTION # 84
You are customizing a VM instance for development and need to choose either SSD or Standard Persistent Disks for your VM. Your team's cloud architect is not currently available for you to consult. You need to quickly determine the advantages and disadvantages of using SSD or Standard storage. What should you do?

Answer: A

Explanation:
Reviewing the Google Cloud documentation on Persistent Disks provides authoritative, up-to- date, and comprehensive details on the advantages and disadvantages of SSD versus Standard storage, enabling you to make an informed decision quickly.


NEW QUESTION # 85
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 wants to reduce the number of on-call engineers and eliminate manual scaling.
Which two services should they choose? (Choose two.)

Answer: A,C

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/traffic-management


NEW QUESTION # 86
......

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