Google Cloud Professional Cloud Security Engineer Practice Exam

Which two limits can be set to optimize costs when using the Cloud DLP API?

1. rowsLimit and dataSizeLimit

2. memoryLimit and storageLimit

3. rowsLimit and bytesLimitPerFile

4. dataLimit and executionTimeLimit

The correct answer is: rowsLimit and bytesLimitPerFile

Setting the appropriate limits when using the Cloud DLP (Data Loss Prevention) API is essential for optimizing costs while managing the processing of potentially sensitive data. The correct answer involves specifying limits that directly pertain to the scope and resource usage of the API. By utilizing rowsLimit and bytesLimitPerFile, you can effectively control how much data is being processed by the Cloud DLP API during each request. The rowsLimit setting restricts the number of rows that the API will analyze, thereby minimizing costs associated with processing large datasets. This is particularly useful when dealing with tables that can contain massive amounts of data. Similarly, the bytesLimitPerFile specifies the maximum size of each file being processed, ensuring that you do not exceed your budget on data processing fees by limiting the volume being analyzed in a single operation. These limitations allow users to have better control over their resource consumption and budget management. By strategically applying these limits, organizations can align their data processing operations with financial constraints and operational requirements. This makes rowsLimit and bytesLimitPerFile the optimal choices for setting limits to optimize costs when using the Cloud DLP API.