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Security & Identity Fundamentals Kubernetes in the Google Cloud Google Cloud documentation Google Cloud solutions
Reference: https://cloud.google.com/certification/cloud-developer
After completing the Google Professional Cloud Developer certification exam, the candidates possess all the knowledge and skills necessary for building scalable and highly available applications with the help of Google-recommended practices and tools. The expertise that you gain while preparing for the qualifying test provides you with access to numerous in-demand and high-paying jobs. Some of the roles that you can apply for after getting certified include a Cloud Infrastructure Engineer, a Google Cloud Platform Cloud Engineer, a Senior Software Engineer, a Python Backend Developer, a Java Developer, a Cloud DevOps Engineer, a Cloud Technical Solutions Developer, and a Google Cloud Platform (GCP) Architect, among others. The average salary associated with these job titles ranges between $86,500 and $207,500 per year.
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The aim of this domain is to evaluate the learners based on their capacity to integrate an app with storage & data services, integrate an app with compute services, as well as integrate Cloud APIs with apps.
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| Section | Objectives |
|---|---|
| Topic 1: Building and testing applications | - Application development on Google Cloud - Unit and integration testing strategies - Debugging and troubleshooting applications |
| Topic 2: Deploying applications | - Containerization and deployment (Cloud Run, GKE) - CI/CD pipelines - Release management strategies |
| Topic 3: Integrating Google Cloud services | - API integration and service-to-service communication - Using managed services (Pub/Sub, Firestore, Cloud SQL) |
| Topic 4: Designing cloud-native applications | - Microservices design principles - Application architecture design - Scalability and resiliency patterns |
| Topic 5: Ensuring application performance and reliability | - Performance optimization - Monitoring and logging (Cloud Monitoring, Cloud Logging) - Fault tolerance and incident response |
You work for an organization that manages an ecommerce site. Your application is deployed behind an external Application Load Balancer. You need to test a new product recommendation algorithm. You plan to use A/B testing to determine the new algorithm's effect on sales in a randomized way. How should you test this feature?
Correct Answer: A 🗳️
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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?
Correct Answer: A 🗳️
Explanation: Only visible for VCEEngine members. You can sign-up / login (it's free).
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 improve the resilience of their MySQL deployment, while also meeting their business and technical requirements.
Which configuration should they choose?
Correct Answer: C 🗳️
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You developed a Python script that retrieves information from files that are uploaded to Cloud Storage and writes the information to Bigtable. You have completed testing on your local environment and created the python-script service account with the Bigtable User IAM role. You want to deploy the code with the appropriate authentication while following Google-recommended practices. What should you do?
Correct Answer: A 🗳️
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Your team has created an application that is hosted on a Google Kubemetes Engine (GKE) cluster. You need to connect the application to a legacy REST service that is deployed in two GKE clusters in two different regions. You want to connect your application to the legacy service in a way that is resilient and requires the fewest number of steps. You also want to be able to run probe-based health checks on the legacy service on a separate port. How should you set up the connection? (Choose two.)
Correct Answer: B,D 🗳️
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