MCB Data Cloud Certification Practice Exam

Which method should be used for performing aggregations in 15-minute windows on data collected via the Interaction SDK?

1. Streaming insight

2. Formula fields

3. Calculated insights

4. Batched transform

The correct answer is: Streaming insight

The appropriate method for performing aggregations within specific time windows, such as 15-minute intervals, is streaming insight. This approach is particularly suited for real-time data analysis. Streaming insights allow for continuous processing and aggregation of incoming data streams, making it possible to generate up-to-date insights based on the most current information. When working with data collected via the Interaction SDK, the ability to create real-time aggregations is crucial for applications that require immediate feedback or reporting based on user interactions. Since this method operates in real time, it efficiently handles the data arriving in increments, which aligns with the requirement for 15-minute window aggregations. In contrast, although formula fields and calculated insights can manipulate data and compute various metrics, they are generally more focused on batch processing or calculations based on existing datasets rather than handling streaming or real-time data. Batched transform, similarly, deals with processed data in chunks rather than continuously monitoring and aggregating real-time inputs. Thus, streaming insights ultimately provide the functionality needed to efficiently perform the specified aggregations in real time.