Answer / Abhinav Gaur

The slot-based mechanism in Hadoop MapReduce can lead to several issues:
1. Resource contention: When the number of slots is limited, multiple tasks may compete for available resources, leading to slow job execution times.
2. Imbalanced workload: If the input data distribution is uneven, some reduce tasks may handle a disproportionate amount of work compared to others, causing performance degradation.
3. Difficulty in scaling: Increasing the number of slots requires careful tuning to avoid bottlenecks and ensure efficient resource utilization.

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