Explanation:
Correct Options: C. Data replication and A. Single-thread processing
Explanation:
Data replication is a cornerstone strategy for achieving fault tolerance in distributed systems, ensuring data availability and integrity by maintaining copies across multiple nodes. Single-thread processing, while not directly related to fault tolerance, can simplify system architecture but does not inherently provide fault tolerance. The combination of these strategies is not typically recommended as single-thread processing lacks the redundancy needed for fault tolerance.
Why other options are incorrect:
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In the context of designing a scalable and fault-tolerant distributed computing system for a global e-commerce platform, which of the following strategies is MOST effective for ensuring high availability and data integrity across geographically dispersed data centers? Choose the best option.
A
Implementing single-thread processing to simplify the system architecture and reduce overhead.
B
Utilizing gradient boosting algorithms to predict and mitigate potential system failures.
C
Employing data replication across multiple nodes to ensure data is always available, even in the event of a node failure.
D
Applying model regularization techniques to prevent overfitting in the system's failure prediction models.
E
Both C (Data replication) and A (Single-thread processing) are effective strategies for ensuring fault tolerance.
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