Which of the following is NOT a stated reason for basic data cleansing when loading into Fabric lakehouse?

• A. To reduce data load size and processing time
• B. To enforce data privacy and security measures
• C. To simplify data discovery in the catalog
• D. To improve system uptime

Answer: (D)

Basic data cleansing during loading into the Fabric lakehouse is about making the data cleaner, smaller, and easier to work with. Reducing the data load size and processing time happens because cleansing often removes unnecessary fields, fixes formats, and deduplicates records, which cuts both storage needs and the work the system has to do during ingestion. Enforcing data privacy and security measures is a key motive, since cleansing can mask or redact sensitive information and ensure data handling complies with policies. Simplifying data discovery in the catalog comes from having consistent names, standardized schemas, and clean metadata, which makes it easier for users to locate and understand datasets. Improving system uptime, however, isn’t a stated goal of basic cleansing—the uptime of the system depends more on the infrastructure, reliability practices, and monitoring than on the cleansing steps themselves.