200-901 Question 101
Select 3A company is deploying IoT devices in remote locations to monitor equipment performance and needs real-time data processing to improve operational efficiency. What are the key benefits of using edge computing in this scenario?
- A
Reduced latency for real-time data processing
- B
Improved data security by processing data locally
- C
Eliminates the need for cloud-based services entirely
- D
Lower bandwidth usage by filtering data at the edge
- E
Increased dependency on centralized data centers
Show answer and explanation
Correct answers: A, B, D
Explanation
Edge computing is particularly beneficial in scenarios where real-time processing, data security, and bandwidth optimization are critical. It allows devices to process data locally, reducing latency and minimizing bandwidth usage while improving security. However, it does not entirely replace cloud-based services, as they may still be needed for certain tasks or long-term data storage.
- A. Correct.
Edge computing processes data locally, reducing the time it takes to analyze and act on the data, which is crucial for real-time applications.
- B. Correct.
Processing data locally at the edge minimizes the need to transmit sensitive data to the cloud, enhancing data security.
- C. Incorrect.
While edge computing reduces the reliance on cloud services, it does not completely eliminate the need for them, as some data may still require centralized processing or storage.
- D. Correct.
By processing and filtering data at the edge, only important or summary data needs to be transmitted to centralized systems, reducing bandwidth usage.
- E. Incorrect.
Edge computing reduces dependency on centralized data centers by processing data closer to the source, rather than increasing reliance.