PROFESSIONAL-CLOUD-DEVELOPER · Question #203
PROFESSIONAL-CLOUD-DEVELOPER Question #203: Real Exam Question with Answer & Explanation
The correct answer is B: Migrate the database to Cloud Spanner and use it to serve all global user traffic.. See the full explanation below for the reasoning.
Question
Case Study 2 - 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, and that they analyze and respond to any issues that occur. 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. - Release cycles include development freezes to allow for QA testing. - The application has no logging. - Applications are manually deployed by infrastructure engineers during periods of slow traffic on weekday evenings. - 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. - Support 10x as many concurrent users. - 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. ○ Develop standardized workflows and processes around application lifecycle management. ○ Define service level indicators (SLIs) and service level objectives (SLOs). Technical Requirements - Provide secure communications between the on-premises data center and cloud-hosted applications and infrastructure. - The application must provide usage metrics and monitoring. - APIs require authentication and authorization. - Implement faster and more accurate validation of new features. - Logging and performance metrics must provide actionable information to be able to provide debugging information and alerts. - Must scale to meet user demand. For this question refer to the HipLocal case study. HipLocal wants to reduce the latency of their services for users in global locations. They have created read replicas of their database in locations where their users reside and configured their service to read traffic using those replicas. How should they further reduce latency for all database interactions with the least amount of effort?
Options
- AMigrate the database to Bigtable and use it to serve all global user traffic.
- BMigrate the database to Cloud Spanner and use it to serve all global user traffic.
- CMigrate the database to Firestore in Datastore mode and use it to serve all global user traffic.
- DMigrate the services to Google Kubernetes Engine and use a load balancer service to better
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