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Google Professional Cloud Developer Certification Path
The Google Professional Cloud Developer Certification is the highest level of certification mainly focussing to the Google Professional Cloud Developer. There is no prerequisite for this exam but still it would be best to follow some sequence in order to prove immense knowledge as a Google Professional Cloud Developer. You can complete Google Associate Certifications then approach for the professional certification. For more information related to Google cloud certification track Google-certification-path
Reference: https://cloud.google.com/certification/cloud-developer
Career Opportunity
Those individuals who have the Google Professional Cloud Developer certification can take up the job titles, such as Software Engineers, Solutions Architects, Operations Analysts, Web Application Developers, Senior Software Engineers, Information Security Managers, or Data Engineers. The average salary for these positions is $87,000 per annum.
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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 Professional-Cloud-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Deploying applications | - CI/CD pipelines - Release management strategies - Containerization and deployment (Cloud Run, GKE) |
| Ensuring application performance and reliability | - Monitoring and logging (Cloud Monitoring, Cloud Logging) - Fault tolerance and incident response - Performance optimization |
| Integrating Google Cloud services | - Using managed services (Pub/Sub, Firestore, Cloud SQL) - API integration and service-to-service communication |
| Building and testing applications | - Debugging and troubleshooting applications - Application development on Google Cloud - Unit and integration testing strategies |
| Designing cloud-native applications | - Application architecture design - Microservices design principles - Scalability and resiliency patterns |
Google Certified Professional - Cloud Developer Sample Questions:
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 .net-based auth service fails under intermittent load.
What should they do?
- A. Use Cloud Functions for autoscaling.
- B. Use a Compute Engine cluster for the service.
- C. Use a dedicated Compute Engine virtual machine instance for the service.
- D. Use App Engine for autoscaling.
Correct Answer: D 🗳️
Explanation: Only visible for PassSureExam members. You can sign-up / login (it's free).
Your application is deployed in a Google Kubernetes Engine (GKE) cluster. You want to expose this application publicly behind a Cloud Load Balancing HTTP(S) load balancer.
What should you do?
- A. Configure a GKE Service resource with type: LoadBalancer.
- B. Configure a GKE Service resource.
- C. Configure a GKE Ingress resource with type: LoadBalancer.
- D. Configure a GKE Ingress resource.
Correct Answer: D 🗳️
Explanation: Only visible for PassSureExam members. You can sign-up / login (it's free).
You are developing a custom job scheduler that must have a persistent cache containing entries of all Compute Engine VMs that are in a running state (not deleted, stopped, or suspended). The job scheduler checks this cache and only sends jobs to the available Compute Engine VMs in the cache. You need to ensure that the available Compute Engine instance cache is not stale. What should you do?
- A. Set up an organization-level BigQuery log sink. Configure the application to query this BigQuery table every minute to retrieve the last minute's events and update the cache.
- B. Set up a Cloud Asset Inventory real-time feed of insert and delete events with the asset types filter set to compute.googleapis.com/Instance. Configure an Eventarc trigger that sends these events to the application to update the cache.
- C. Set up an organization-level Pub/Sub log sink with a filter to capture the audit log events for Compute Engine. Configure an Eventarc trigger that sends these events to the application to update the cache.
- D. Set up an organization-level Cloud Storage log sink with a filter to capture the audit log events for Compute Engine. Configure an Eventarc trigger that executes when the Cloud Storage bucket is updated and sends these events to the application to update the cache.
Correct Answer: B 🗳️
Explanation: Only visible for PassSureExam members. You can sign-up / login (it's free).
You are developing a flower ordering application. Currently you have three microservices:
- Order Service (receives the orders)
- Order Fulfillment Service (processes the orders)
- Notification Service (notifies the customer when the order is filled) You need to determine how the services will communicate with each other. You want incoming orders to be processed quickly and you need to collect order information for fulfillment. You also want to make sure orders are not lost between your services and are able to communicate asynchronously. How should the requests be processed?
- A.
- B.
- C.
- D.
Correct Answer: B 🗳️
Explanation: Only visible for PassSureExam members. You can sign-up / login (it's free).
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.)
- A. Use Cloud Service Mesh with sidecar proxies to connect the application to the REST service.
- B. Use Cloud Service Mesh with proxyless gRPC to connect the application to the REST service.
- C. Configure the REST service's firewall to allow health checks originating from the GKE check probe's IP ranges.
- D. Configure the REST service's firewall to allow health checks originating from the GKE service's IP ranges.
- E. Configure the REST service's firewall to allow health checks originating from the GKE control plane's IP ranges.
Correct Answer: A,C 🗳️
Explanation: Only visible for PassSureExam members. You can sign-up / login (it's free).
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