Which feature helps accelerate data exploration and cleansing in Fabric?

• A. Dataflows
• B. Data Wrangler
• C. Lakehouse
• D. Cleansing Studio

Answer: (B)

Data exploration and cleansing are accelerated by a visual, interactive data preparation tool that lets you inspect data, profile columns, and apply a sequence of transformations without heavy coding. This tool provides immediate feedback as you clean and shape data—filtering rows, handling missing values, standardizing formats, parsing dates, and deriving new columns—so you can see the impact of each step right away. The entire set of transformations is saved as a repeatable workflow, making it easy to reuse for similar datasets and to propagate clean data into storage or downstream analyses. While other options cover broader ETL pipelines or storage roles, this feature is specifically built for rapid, hands-on cleansing and exploration, which is why it’s the best fit.