Which statement best describes a main benefit of Real-Time Intelligence in Fabric?

Which statement best describes a main benefit of Real-Time Intelligence in Fabric?

• A. It requires complex data models and scripting to transform the data before analysis.
• B. It only supports structured data formats.
• C. It requires manual data normalization.
• D. It allows ingestion of data from any source, in any data format.

Answer: (D)

Real-Time Intelligence in Fabric is built to bring data to insights as it arrives from a wide range of sources and in many formats. The main benefit is flexible ingestion: you can bring in data from any source, in any data format, without being forced into a single data model or a lot of upfront scripting. This enables rapid, comprehensive analytics across diverse data streams—logs, sensor feeds, databases, documents, and more—so dashboards and insights update in near real time. In contrast, approaches that require complex transformations before analysis, restrict data to structured formats, or rely on manual normalization slow down the process and hinder timely decision-making.

Real-Time Intelligence in Fabric is built to bring data to insights as it arrives from a wide range of sources and in many formats. The main benefit is flexible ingestion: you can bring in data from any source, in any data format, without being forced into a single data model or a lot of upfront scripting. This enables rapid, comprehensive analytics across diverse data streams—logs, sensor feeds, databases, documents, and more—so dashboards and insights update in near real time. In contrast, approaches that require complex transformations before analysis, restrict data to structured formats, or rely on manual normalization slow down the process and hinder timely decision-making.