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Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionObjectives
Topic 1: Integrate applications with Google Cloud services- Integrate with data and storage services
  • 1. Implement authentication and authorization
  • 2. Use messaging and event-driven services
  • 3. Integrate with Google Cloud APIs
Topic 2: Manage application performance monitoring- Monitor and troubleshoot applications
  • 1. Optimize application performance
  • 2. Configure logging and tracing
  • 3. Analyze metrics and alerts
Topic 3: Deploy applications- Deploy applications to Google Cloud
  • 1. Deploy applications to Google Kubernetes Engine
  • 2. Deploy applications using Cloud Run
  • 3. Manage application rollout strategies
Topic 4: Design scalable, available, and reliable cloud-native applications- Design highly performant applications and APIs
  • 1. Choose storage options for application data
  • 2. Design secure applications
  • 3. Design resilient and scalable application architectures
Topic 5: Build and test applications- Manage development environments
  • 1. Perform application testing
  • 2. Build application artifacts
  • 3. Implement CI/CD pipelines

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Google Certified Professional - Cloud Developer Sample Questions (Q51-Q56):

NEW QUESTION # 51
Which service should HipLocal use to enable access to internal apps?

Answer: B

Explanation:
Reference:
https://cloud.google.com/iap/docs/cloud-iap-for-on-prem-apps-overview


NEW QUESTION # 52
You are designing a schema for a Cloud Spanner customer database. You want to store a phone number array field in a customer table. You also want to allow users to search customers by phone number. How should you design this schema?

Answer: B


NEW QUESTION # 53
You are building a highly available and globally accessible application that will serve static content to users. You need to configure the storage and serving components. You want to minimize management overhead and latency while maximizing reliability for users. What should you do?

Answer: A


NEW QUESTION # 54
Your company has a data warehouse that keeps your application information in BigQuery. The BigQuery data warehouse keeps 2 PBs of user data. Recently, your company expanded your user base to include EU users and needs to comply with these requirements:
Your company must be able to delete all user account information upon user request.
All EU user data must be stored in a single region specifically for EU users.
Which two actions should you take? (Choose two.)

Answer: B,C

Explanation:
Reference: https://cloud.google.com/solutions/bigquery-data-warehouse


NEW QUESTION # 55
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.
Which service should HipLocal use for their public APIs?

Answer: A

Explanation:
Google Cloud Endpoints is a distributed API management system that provides an API console, hosting, logging, monitoring, and other features to help you create, deploy, and manage APIs on a large scale.


NEW QUESTION # 56
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