Question 13

Correct answer: D

A.

While Cloud Storage is good for storing large amounts of data, it is not designed to serve as a scalable data warehouse. Dataflow is mainly used for processing data, not designed for querying large data sets.

B.

Cloud SQL is a managed relational database service, which may not be the ideal choice for handling several petabytes of data. It is optimized for online transaction processing (OLTP) workloads rather than large-scale data warehousing. While Dataflow is a flexible and scalable data processing service, it is primarily used for ETL (extract, transform, load) and batch processing tasks, and may not provide the same level of performance and efficiency as BigQuery for ad-hoc queries and analytics.

C.

Bigtable is designed for high throughput, low latency workloads, and while it can store large amounts of data, it does not have the SQL capabilities necessary for data warehousing. Data Studio is for visualizing data, not querying large datasets.

D.

BigQuery is a fully managed, serverless data warehouse solution provided by Google Cloud. It is designed to handle massive datasets and can scale seamlessly to handle several petabytes of data. BigQuery also provides powerful querying capabilities, allowing for efficient analysis of the data. It is well-suited for handling frequent, unpredictable spikes in query activity, as it automatically scales resources to meet demand. Using BigQuery for both data storage and analysis simplifies the architecture and leverages the native capabilities of the platform.