Google Cloud Digital Leader Practice Exam

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Which Google Cloud product is best suited for structured or semi-structured data with a transactional workload and SQL capabilities?

Cloud Firestore
Cloud Spanner
BigQuery
Cloud Bigtable

The correct answer is: Cloud Spanner

Cloud Spanner is particularly well-suited for structured or semi-structured data, especially in environments where transactional workloads are a key requirement. It combines the benefits of traditional relational databases with horizontal scalability, which allows it to handle large amounts of data and high transaction volumes while maintaining consistency. One of Cloud Spanner's standout features is its support for SQL, enabling users to perform complex queries on their data just as they would with other relational database systems. This makes it an excellent choice for applications that require strong consistency, ACID transactions, and global distribution. In contrast, options like Cloud Firestore and Cloud Bigtable are more optimized for specific use cases. Firestore is tailored for real-time data syncing and document-oriented applications, making it less ideal for transactional SQL workloads. Cloud Bigtable excels in handling high-throughput analytical workloads and is designed for large volumes of unstructured or semi-structured data rather than transactional operations. BigQuery, while powerful for large-scale analytics and structured data processing, is not designed for transactional workloads and does not support transactional SQL operations in the same way that Cloud Spanner does. Together, these differences highlight why Cloud Spanner is the best choice for scenarios that require SQL capabilities, structured data management, and reliable transactional support.