What are two characteristics of real-time data processing? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
What are two characteristics of real-time data processing? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Real-time data processing is characterized by low latency, meaning data is processed almost immediately as it is received, producing timely outputs. Additionally, data is processed as it is generated or created, ensuring that the information is up-to-date and relevant in real-time scenarios. These characteristics are crucial for applications that require instant feedback and up-to-date information, such as live traffic monitoring or financial trading systems.
B&D is the answer
Correct
Data is processed in real-time as and when it is received. Low latency is a real reason why organizations opt for streaming processing.
Real time processing deals with streams of data that are captured in real-time and processed with minimal latency to generate real-time (or near-real-time) reports or automated responses. For example, a real-time traffic monitoring solution might use sensor data to detect high traffic volumes. This data could be used to dynamically update a map to show congestion, or automatically initiate high-occupancy lanes or other traffic management systems. Reference Real-time processing https://learn.microsoft.com/en-us/azure/architecture/data-guide/big-data/real-time-processing
B. Low Latency and C. Processed as it is created
B&D answers
correct
B and D is correct Answer
Correct
BD would not be realtime if you have high latency, now would it ;)
option B e D
correct
B, D are correct
Correct answers.
B&D because real time transfer will not have any latency
Correct Answer.
B & D is the right answer