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Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionObjectives
Deploy applications- Deploy applications to Google Cloud
  • 1. Deploy applications using Cloud Run
  • 2. Manage application rollout strategies
  • 3. Deploy applications to Google Kubernetes Engine
Build and test applications- Manage development environments
  • 1. Implement CI/CD pipelines
  • 2. Build application artifacts
  • 3. Perform application testing
Integrate applications with Google Cloud services- Integrate with data and storage services
  • 1. Integrate with Google Cloud APIs
  • 2. Use messaging and event-driven services
  • 3. Implement authentication and authorization
Manage application performance monitoring- Monitor and troubleshoot applications
  • 1. Optimize application performance
  • 2. Analyze metrics and alerts
  • 3. Configure logging and tracing
Design scalable, available, and reliable cloud-native applications- Design highly performant applications and APIs
  • 1. Design secure applications
  • 2. Choose storage options for application data
  • 3. Design resilient and scalable application architectures

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Google Certified Professional - Cloud Developer Sample Questions (Q229-Q234):

NEW QUESTION # 229
How do you access Control Center from the home screen on an iPhone 8?

Answer: D

Explanation:
Explanation/Reference: https://www.imore.com/control-center


NEW QUESTION # 230
Your team developed a web-based game that has many simultaneous players. Recently, users have started to complain that the leaderboard tallies the top scores too slowly. You investigated the issue and discovered that the application stack is currently using Cloud SQL for PostgreSQL.
You want to improve the leaderboard performance as much as possible to provide a better user experience. What should you do?

Answer: A

Explanation:
Memorystore for Redis is an in-memory data store that provides sub-millisecond latency and is ideal for real-time leaderboard use cases, significantly improving performance for rapidly changing, high-read workloads compared to Cloud SQL.


NEW QUESTION # 231
Your team is developing an application in Google Cloud that executes with user identities maintained by Cloud Identity. Each of your application's users will have an associated Pub/Sub topic to which messages are published, and a Pub/Sub subscription where the same user will retrieve published messages. You need to ensure that only authorized users can publish and subscribe to their own specific Pub/Sub topic and subscription. What should you do?

Answer: C


NEW QUESTION # 232
You need to migrate an internal file upload API with an enforced 500-MB file size limit to App Engine.
What should you do?

Answer: A

Explanation:
Reference:
https://wiki.christophchamp.com/index.php?title=Google_Cloud_Platform
Topic 1, HipLocal Case Study
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 10,000 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


NEW QUESTION # 233
Your application requires service accounts to be authenticated to GCP products via credentials stored on its host Compute Engine virtual machine instances. You want to distribute these credentials to the host instances as securely as possible. What should you do?

Answer: B

Explanation:
Reference:
https://cloud.google.com/compute/docs/api/how-tos/authorization


NEW QUESTION # 234
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