Google Cloud Digital Leader 2025 – 400 Free Practice Questions to Pass the Exam

The most suitable product on Google Cloud for structured or semi-structured data requiring SQL is Cloud SQL. Cloud SQL is a fully managed database service that supports popular database engines like MySQL, PostgreSQL, and SQL Server. It allows users to create, manage, and scale relational databases seamlessly, providing full SQL support. This makes it ideal for applications needing complex queries, transaction support, and ACID (Atomicity, Consistency, Isolation, Durability) compliance.

Structured and semi-structured data, which can be organized in tables or similar structures, benefits greatly from the capabilities of SQL, such as joins, aggregations, and other relational operations that Cloud SQL provides. Moreover, it integrates well with other Google Cloud services, making it easy for developers to build applications that rely on relational data.

While BigQuery is also a powerful tool for querying large datasets and can handle semi-structured data, it is more optimized for data analytics and running large-scale queries rather than traditional transactional workloads typical for structured data in Cloud SQL. Cloud Storage serves primarily as an object storage solution for unstructured data, and App Engine is designed for deploying applications rather than managing data specifically. Therefore, Cloud SQL stands out as the best fit for scenarios requiring SQL with structured or