Google Professional Cloud Database Engineer Question 81
Select 3Google Cloud PlatformYour company is building a data analytics platform that needs to store and process large volumes of both semi-structured and unstructured data. The data includes JSON logs from applications, multimedia files such as images and videos, and IoT sensor data. Which Google Cloud database solution(s) would be most suitable for this use case?
- A
Cloud Bigtable
- B
Cloud Spanner
- C
Cloud Firestore
- D
Cloud SQL
- E
Cloud Storage
Show answer and explanation
Correct answers: A, C, E
Explanation
To handle both semi-structured and unstructured data, multiple Google Cloud solutions may be required. Cloud Bigtable is ideal for semi-structured data with high throughput needs, Cloud Firestore excels at handling document-based semi-structured data like JSON logs, and Cloud Storage is the optimal choice for storing unstructured data like multimedia files. These solutions together meet the requirements of the scenario.
- A. Correct.
Cloud Bigtable is a great choice for handling large-scale semi-structured data such as IoT sensor data due to its high throughput and low-latency capabilities.
- B. Incorrect.
Cloud Spanner is not an ideal choice for unstructured data like multimedia files, as it is designed for structured relational data at scale.
- C. Correct.
Cloud Firestore is suitable for semi-structured data such as JSON logs because it supports document-oriented storage and querying.
- D. Incorrect.
Cloud SQL is designed for structured relational data and is not optimized for semi-structured or unstructured data.
- E. Correct.
Cloud Storage is the best option for storing unstructured data such as images and videos due to its scalability, high availability, and support for multiple object types.