Microsoft DP-203 Data Engineering on Microsoft Azure 12 31Oct2024 - Practice Quiz

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Question 1 of 27

In a modern data engineering pipeline, a company is transitioning from a traditional batch processing system to a real-time streaming architecture. They are considering the use of Apache Kafka for message brokering and Azure Stream Analytics for processing the data. Given this scenario, which of the following statements best captures the advantages of using a streaming architecture over batch processing in terms of data latency and real-time insights?

Streaming architecture significantly reduces data latency, allowing for near-instantaneous data processing and real-time insights, which is crucial for applications requiring immediate decision-making.

Streaming architecture is primarily beneficial for handling large volumes of data, but it does not significantly improve the speed of data processing compared to batch processing.

Streaming architecture simplifies the data pipeline by eliminating the need for data storage, making it easier to manage data flows.

Streaming architecture is only advantageous for specific industries, such as finance and telecommunications, and does not provide benefits for other sectors.

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