Google Cloud Professional Data Engineer Exam 2026 - Free Practice Questions and Study Guide

Question: 1 / 400

What technique can be used in Google Cloud to reduce the costs of data storage?

Using repetitive data copies.

Choosing the appropriate storage classes.

Choosing the appropriate storage classes is a fundamental technique to reduce the costs of data storage in Google Cloud. Google Cloud offers various storage classes, including Standard, Nearline, Coldline, and Archive, each designed for different use cases and access patterns. By selecting a storage class that aligns with the frequency of data access, you can significantly optimize costs.

For example, if you have data that is accessed frequently, the Standard storage class may be suitable. However, if you have data that is infrequently accessed, using Nearline or Coldline would be more cost-effective, as these options offer lower storage costs at the expense of higher retrieval costs. Opting for the right storage class allows organizations to balance their spending based on how they use their data, leading to optimized storage costs.

Utilizing repetitive data copies would only exacerbate storage costs, as it increases the amount of data being stored without providing additional value. Storing all data indefinitely can lead to unnecessary expenses, as it may accumulate data that is no longer needed or redundant. Disabling encryption is not a sound strategy for reducing storage costs; while it might save on the cost of encryption services, the security risks and potential data breaches would far outweigh any savings. Therefore, making an informed choice about storage

Get further explanation with Examzify DeepDiveBeta

Storing all data indefinitely.

Disabling encryption.

Next Question

Report this question

Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy