Exam Professional Cloud Developer topic 1 question 87 discussion

Let's analyze why the other options are less likely: A. The use of 64-bit numeric types for 32-bit numbers: While using larger data types than necessary can impact storage space, it's unlikely to significantly affect performance in a way that would cause non-linear scaling. B. The use of the STRING data type for arbitrary-precision values: Using the STRING data type for numeric values can impact performance, but it's not the primary cause of non-linear scaling. Cloud Spanner is optimized for numeric data types. D. The use of LIKE instead of STARTS_WITH keyword for parameterized SQL queries: While using LIKE can be less efficient than STARTS_WITH for certain queries, it's unlikely to cause a significant performance bottleneck that would prevent linear scaling.

A, the use of 64-bit numeric types for 32-bit numbers, is not likely to cause performance issues in Cloud Spanner. B, the use of the STRING data type for arbitrary-precision values, is not likely to cause performance issues in Cloud Spanner. D, the use of LIKE instead of STARTS_WITH keyword for parameterized SQL queries, is not likely to cause performance issues in Cloud Spanner.