200-901 Question 104
Single answerYour organization is deploying an application that requires real-time data processing at remote locations while leveraging centralized data analytics in the cloud. Which deployment model is the most suitable to meet these requirements?
- A
Private cloud
- B
Hybrid cloud
- C
Multi-cloud
- D
Edge computing
Show answer and explanation
Correct answer: D
Explanation
Edge computing is the optimal solution for scenarios requiring real-time data processing at remote locations. It minimizes latency by processing data close to the source while allowing integration with centralized cloud platforms for deeper analytics. This aligns with the application's need for both real-time responsiveness and cloud-based data insights.
- A. Incorrect.
Private cloud is focused on dedicated resources within an organization and does not address the need for real-time data processing at remote locations or integration with centralized cloud analytics.
- B. Incorrect.
Hybrid cloud combines private and public cloud environments but does not specifically address the requirement for real-time data processing at remote locations.
- C. Incorrect.
Multi-cloud involves using multiple cloud providers but does not inherently support real-time data processing at the edge or integration with centralized data analytics.
- D. Correct.
Edge computing is designed to process data close to its source at remote locations, reducing latency and enabling real-time processing. This model can integrate with cloud environments for centralized analytics, making it the most suitable choice.