MCB Data Cloud Certification Practice Exam 2026 - Free Data Cloud Certification Practice Questions and Study Guide

The most suitable feature for tracking candidates who have visited the jobs page multiple times in a short time frame, like 24 hours, is streaming insight. This feature is designed to handle and analyze real-time data, allowing organizations to gain immediate insights into activities as they occur.

In this scenario, the need to monitor how many times candidates visit a specific page within a defined time frame aligns perfectly with the capabilities offered by streaming insight. It enables users to capture and analyze continuous data streams, which is critical for observing trends and behaviors in real-time.

Streaming data transform and batch data transform, while useful in different contexts, do not provide the immediacy required for this particular task. Streaming data transform focuses on processing continuous data flows but does not inherently provide insights. Meanwhile, batch data transform processes data in large blocks at defined intervals, which would not be effective for tracking activity as dynamically as needed in this case.

Calculated insight can be valuable for deriving metrics based on existing data but does not address the need for real-time tracking of candidate visits. Therefore, opting for streaming insight will allow Cumulus Financial to effectively monitor candidate engagements with the jobs page as they happen, ensuring that they can make timely decisions based on the latest user activity.