Google Cloud Digital Leader Practice Exam

The chosen solution, Cloud SQL, is specifically designed to provide managed database services on Google Cloud. It allows users to set up, maintain, manage, and administer relational databases in the cloud with minimal effort. Cloud SQL supports popular database engines like MySQL, PostgreSQL, and SQL Server, enabling users to leverage these well-known technologies without worrying about the underlying infrastructure.

Key features of Cloud SQL include automatic backups, high availability, and scaling capabilities, which simplify database management tasks. The automatic patch management ensures that your databases are running on the latest security updates, while the service monitors performance and offers automatic failure recovery. This means businesses can focus on developing their applications rather than managing the database infrastructure.

In contrast, other choices serve entirely different purposes. Cloud Storage is utilized for scalable object storage, suitable for storing large amounts of unstructured data. Google Cloud Functions is a serverless compute service that allows you to run code in response to events without managing servers, making it ideal for building microservices or event-driven applications. Lastly, BigQuery is a data warehouse solution optimized for running complex queries on large datasets rather than managing transaction-focused databases. Each of these serves specific needs but does not provide the managed relational database service that Cloud SQL offers.