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A data engineering team is evaluating the best approach to process large volumes of data from multiple sources for a real-time analytics application. The team is considering between triggered pipelines and continuous pipelines. The application requires low latency to provide real-time insights, but the team is also under budget constraints and needs to optimize costs. Given these requirements, which of the following statements accurately compares the cost and latency of triggered and continuous pipelines, and what would be the best recommendation for the team? (Choose two options that best fit the scenario.)
A
Triggered pipelines are more cost-effective due to batch processing but introduce higher latency, making them unsuitable for real-time analytics.
B
Continuous pipelines offer lower latency by processing data in real-time but are less cost-effective due to continuous resource utilization.
C
Triggered pipelines are less cost-effective and have higher latency compared to continuous pipelines, making them a poor choice for any data processing scenario.
D
Continuous pipelines are the best choice for real-time analytics due to their low latency, despite their higher cost, when real-time processing is a critical requirement.