BenchMark Quizzes by MDFT Pro

Determine If Batch Processing Requires Near Real-Time Data Latency

You work as a data processing consultant at MDFT Pro, a well-known training agency that provides Microsoft certification courses. The academy is designing their data analytics architecture and needs to understand the latency requirements for different processing approaches to make informed decisions about their data pipeline.

Mark, the data engineering team lead, is evaluating whether batch processing is suitable for their monthly student performance reports, quarterly financial analyses, and annual trend assessments. Claire, the systems architect, wants to clarify the latency expectations for batch processing to help determine if it aligns with their reporting schedule and business requirements.

Does batch processing require near real-time data latency?

Choose the correct answer from the options below.

Explanations for each answer:

Yes is incorrect. Batch processing does not require near real-time latency. It is designed to work with collected data over time and can tolerate longer latencies since data is processed periodically rather than immediately.
No is correct. Batch processing does not require near real-time data latency. It is designed to process data in scheduled intervals and can tolerate longer latencies, as it operates on collected data over time rather than requiring immediate responses.
Only for large datasets is incorrect. Batch processing latency tolerance is not dependent on dataset size but on the processing model itself, which is designed for scheduled, periodic processing rather than immediate response.
Only during peak hours is incorrect. Batch processing latency characteristics remain consistent regardless of time of day or system load, as it operates on a scheduled basis rather than in response to immediate demands.

Learn more about batch processing:

Batch Processing

Exam Preparation Quiz

Determine If Batch Processing Requires Near Real-Time Data Latency