200-901 Question 100
Select 3A company is deploying IoT sensors across multiple manufacturing plants to monitor real-time machine performance. They are considering implementing edge computing instead of processing all data in a centralized cloud. What are the key benefits of using edge computing in this scenario?
- A
Reduced latency for real-time data processing
- B
Improved scalability by reducing the need for cloud infrastructure
- C
Enhanced data security by processing sensitive data locally
- D
Increased internet bandwidth usage for transferring large datasets to the cloud
- E
Better alignment with regulatory compliance for data sovereignty
Show answer and explanation
Correct answers: A, C, E
Explanation
Edge computing provides significant benefits, especially in scenarios like IoT deployments in manufacturing. By processing data closer to its source, edge computing reduces latency, improves data security, and aligns with regulatory compliance requirements. These advantages are particularly relevant for applications requiring real-time insights and strict data governance policies.
- A. Correct.
Reduced latency is a key benefit of edge computing as data is processed closer to its source, enabling real-time analysis and faster decision-making.
- B. Incorrect.
While edge computing can complement scalability, it does not inherently reduce the need for cloud infrastructure. Cloud is still essential for centralized processing and storage.
- C. Correct.
Processing sensitive data locally with edge computing reduces the risk of exposing it during transmission, enhancing data security.
- D. Incorrect.
Edge computing decreases internet bandwidth usage by processing data locally and only sending necessary data to the cloud, contrary to this statement.
- E. Correct.
By processing data locally, edge computing helps organizations comply with data sovereignty regulations, which often require data to remain within specific geographic boundaries.