Google Associate Cloud Engineer Question 67
Single answerGoogle Cloud PlatformYour company needs to store a significant amount of unstructured data that requires low-latency access for data analytics purposes. The data is expected to grow rapidly, and you need a cost-effective storage solution that can integrate seamlessly with BigQuery for analysis. Which Google Cloud Platform storage service should you choose?
- A
Google Cloud Storage
- B
Google Cloud SQL
- C
Google Cloud Spanner
- D
Google Cloud Bigtable
Show answer and explanation
Correct answer: A
Explanation
Google Cloud Storage is the best choice for storing large volumes of unstructured data with low-latency access requirements. It offers integration with BigQuery, enabling efficient data analytics. This makes it a cost-effective and scalable solution for the given scenario.
- A. Correct.
Google Cloud Storage is designed for storing unstructured data and can handle a large amount of data with low-latency access. It integrates well with BigQuery for data analytics, making it a cost-effective solution for the scenario described.
- B. Incorrect.
Google Cloud SQL is a managed database service designed for structured data and not ideal for unstructured data at scale. It does not provide the low-latency access required for large-scale data analytics.
- C. Incorrect.
Google Cloud Spanner is a globally distributed database service suitable for transactional workloads that require strong consistency. It is not cost-effective for storing large volumes of unstructured data.
- D. Incorrect.
Google Cloud Bigtable is a NoSQL database service optimized for high-throughput and low-latency workloads, but it is more suitable for specific use cases such as time-series data. It may not integrate as seamlessly with BigQuery as Google Cloud Storage does.