Which Fabric component is commonly used for interactive data analysis and experimentation?

• A. Data Pipeline
• B. Notebook
• C. Eventstream
• D. Lakehouse

Answer: (B)

Interactive analysis and iterative experimentation are most effectively done in a Notebook. Notebooks provide a live, interactive workspace where you can run code, query data, and visualize results in the same place, making it easy to test ideas, tweak analyses, and share findings quickly. This environment is designed for exploration rather than large-scale data workflows or production pipelines. Data Pipelines are meant for building and scheduling repeatable data workflows, not ad hoc analysis. Eventstreams focus on ingesting and processing streaming data in real time, not on exploratory analysis. Lakehouse refers to the storage and management layer that supports analytics at scale, but it isn’t the primary tool for interactive experimentation. So, for interactive data analysis and experimentation, the Notebook is the best fit.