Salesforce Sales Cloud Consultant Test

What is a consequence of data skew in a Salesforce environment?

1. It simplifies data storage management.

2. It can lead to performance issues in large data sets.

3. It enhances user experience for large organizations.

4. It helps in better forecasting of sales opportunities.

The correct answer is: It can lead to performance issues in large data sets.

Data skew refers to the uneven distribution of data among records in Salesforce, particularly when a large number of child records are associated with a single parent record. This can create challenges in how data is processed and accessed within the system. When there is significant data skew, especially in large data sets, it can result in performance degradation. For instance, if many users or processes are frequently trying to access or update a single parent record that has numerous child records, it can lead to contention and bottlenecks in data processing. This often manifests as slow query performance, timeouts during data operations, and overall reduced efficiency in the system. The consequences of data skew can affect not only the immediate performance of Salesforce but also the broader organizational processes that rely on timely and accurate data. Hence, recognizing that data skew can lead to performance issues is crucial for maintaining a responsive and efficient Salesforce environment.