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Google Associate Cloud Engineer: Optimizing Gaming Performance with Google Cloud Spanner vs. Alternatives

Discover how to ensure optimal gaming performance for global users using Google Cloud services like Cloud Spanner, Cloud SQL, BigQuery, and Bigtable. Learn the best approach to store game information and deliver consistent performance without increasing management complexity.

Table of Contents

Question

You are building a multi-player gaming application that will store game information in a database. As the popularity of the application increases, you are concerned about delivering consistent performance. You need to ensure an optimal gaming performance for global users, without increasing the management complexity. What should you do?

A. Use Cloud SQL database with cross-region replication to store game statistics in the EU, US, and APAC regions.
B. Use Cloud Spanner to store user data mapped to the game statistics.
C. Use BigQuery to store game statistics with a Redis on Memorystore instance in the front to provide global consistency.
D. Store game statistics in a Bigtable database partitioned by username.

Answer

B. Use Cloud Spanner to store user data mapped to the game statistics.

Explanation

The correct answer is B. Use Cloud Spanner to store user data mapped to the game statistics.

Cloud Spanner is a fully managed, globally distributed relational database that provides high availability, strong consistency, and automatic scaling. It is an ideal choice for applications that require global consistency and low-latency reads and writes, such as multi-player gaming applications.

By using Cloud Spanner to store user data mapped to game statistics, you can ensure that all users, regardless of their location, have access to the same data with minimal latency. Cloud Spanner automatically replicates data across multiple regions, providing high availability and disaster recovery capabilities.

The other options have limitations:

A. Cloud SQL with cross-region replication can provide global coverage, but it may introduce higher latency and management complexity compared to Cloud Spanner.

C. BigQuery is a data warehousing solution best suited for analytics and reporting, not for real-time gaming data. Using Redis on Memorystore in front of BigQuery would not provide the required global consistency.

D. Bigtable is a NoSQL database that excels in handling large amounts of data with high throughput and low latency. However, it does not provide the strong consistency and global replication features that Cloud Spanner offers, which are crucial for multi-player gaming applications.

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