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PROFESSIONAL-CLOUD-ARCHITECT · Question #56

Case Study: 1 - Mountkirk Games Case Study Company Overview Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms. Company Background Mountkirk Games bui

The correct answer is B. Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery. Ingest millions of streaming events per second from anywhere in the world with Cloud Pub/Sub, powered by Google's unique, high-speed private network. Process the streams with Cloud Dataflow to ensure reliable, exactly-once, low-latency data transformation. Stream the transformed

Submitted by rohit_dlh· Mar 30, 2026Designing and planning a cloud solution architecture

Question

Case Study: 1 - Mountkirk Games Case Study Company Overview Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms. Company Background Mountkirk Games builds all of their games with some server-side integration and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools. Mountkirk's current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting. Solution Concept Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics and take advantage of its autoscaling server environment and integrate with a managed NoSQL database. Technical Requirements Requirements for Game Backend Platform 1. Dynamically scale up or down based on game activity. 2. Connect to a managed NoSQL database service. 3. Run customized Linx distro. Requirements for Game Analytics Platform 1. Dynamically scale up or down based on game activity. 2. Process incoming data on the fly directly from the game servers. 3. Process data that arrives late because of slow mobile networks. 4. Allow SQL queries to access at least 10 TB of historical data. 5. Process files that are regularly uploaded by users' mobile devices. 6. Use only fully managed services CEO Statement Our last successful game did not scale well with our previous cloud provider, resuming in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the gams to target users. CTO Statement Our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers. CFO Statement We are not capturing enough user demographic data usage metrics, and other KPIs. As a result, we do not engage the right users. We are not confident that our marketing is targeting the right users, and we are not selling enough premium Blast-Ups inside the games, which dramatically impacts our revenue. For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to set up a real-time analytics platform for their new game. The new platform must meet their technical requirements. Which combination of Google technologies will meet all of their requirements?

Options

  • AContainer Engine, Cloud Pub/Sub, and Cloud SQL
  • BCloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
  • CCloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
  • DCloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
  • ECloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc

How the community answered

(25 responses)
  • A
    12% (3)
  • B
    76% (19)
  • C
    4% (1)
  • D
    8% (2)

Explanation

Ingest millions of streaming events per second from anywhere in the world with Cloud Pub/Sub, powered by Google's unique, high-speed private network. Process the streams with Cloud Dataflow to ensure reliable, exactly-once, low-latency data transformation. Stream the transformed data into BigQuery, the cloud-native data warehousing service, for immediate analysis via SQL or popular visualization tools. From scenario: They plan to deploy the game’s backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics. Requirements for Game Analytics Platform 1. Dynamically scale up or down based on game activity 2. Process incoming data on the fly directly from the game servers 3. Process data that arrives late because of slow mobile networks 4. Allow SQL queries to access at least 10 TB of historical data 5. Process files that are regularly uploaded by users’ mobile devices 6. Use only fully managed services

Topics

#Cloud Pub/Sub#Cloud Dataflow#BigQuery#streaming analytics pipeline

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