Free Google Professional-Cloud-Developer Exam Questions

The case study involves Azgomi, a community application used for event planning, organizing sporting events, and for businesses to connect with their local communities. It has recently launched 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.

The executive statement is to take the local community services global, with the venture capital investors wanting 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.

Azgomi wants to expand their existing service with updated functionality in new regions to better serve their global customers. They plan to hire and train a new team to support these regions in their time zones. They also need to ensure that the application scales smoothly and provides clear uptime data.

Azgomi's existing technical environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. They have limited experience in global-scale applications.

The business requirements are to expand the 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, reduce infrastructure management time and cost, and adopt the Google-recommended practices for cloud computing.

The technical requirements are that 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. They must move to serverless architecture to facilitate elastic scaling and provide authorized access to internal apps in a secure manner.

What is the most suitable method for Azgomi to store their application state to fulfill their business needs?

Containers are being created and managed across multiple projects in Google Cloud. A requirement for the application under development is to access Google Cloud services from within Google Kubernetes Engine (GKE).

What actions are recommended?

Azgomi is a community application designed to facilitate communication between people in close proximity. It is used for event planning, organizing sporting events, and for businesses to connect with their local communities. Azgomi 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.

The company's executive statement is to take their local community services global. Azgomi 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.

Azgomi's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. The Azgomi team understands their application well, but has limited experience in global scale applications. 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.

Azgomi's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are to 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, and adopt the Google-recommended practices for cloud computing.

Technical requirements include providing usage metrics and monitoring, APIs requiring strong authentication and authorization, increased logging, and data stored in a cloud analytics platform. The application and backend must be moved to a serverless architecture to facilitate elastic scaling. The authorized access to internal apps should be provided in a secure manner. Azgomi has connected their Hadoop infrastructure to GCP using Cloud Interconnect in order to query data stored on persistent disks.

What would be the most appropriate IP strategy for them to implement?

Which database is recommended if the amount of information to be stored is greater than 10 TB?

What options does the Query builder section provide for filtering logs?