Why is it important to process records in chunks during Batch Processing?

Processing records in chunks during Batch Processing is crucial for managing resource consumption effectively. When large volumes of data are handled, processing them all at once can lead to significant spikes in memory and CPU usage, potentially overwhelming the system and leading to performance degradation or failures. By breaking the data into smaller, manageable chunks, the system can maintain optimal resource utilization, ensuring that it doesn't reach its limits and can continue operating efficiently.

This approach allows for smoother processing and can help avoid issues like timeouts or throttling when interacting with external systems or APIs, as each chunk can be processed within a controlled resource footprint. Additionally, it facilitates better error handling and recovery mechanisms, making the overall batch processing more robust.

The other options relate to aspects of data processing but do not address the key reason for chunked processing in terms of resource management, which is critical for maintaining system stability and performance.