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Day 68 of 133

Multi-tenant & multi-region serving + DSA 2-D DP

Per-tenant LoRA vs base+adapter; data residency; noisy neighbors.

DSA · NeetCode 2-D DP

  • Target SumDSA · 2-D DP

    Interview questions to prep

    1. State the 2-D DP: indices, recurrence, base case. What's the order of fill?
    2. Can you reduce 2-D to 1-D by reusing rows or columns? Walk through the dependency direction.
    3. Top-down with memoization vs bottom-up — which is easier to reason about, and which is faster in practice?
  • Interleaving StringDSA · 2-D DP

    Interview questions to prep

    1. State the 2-D DP: indices, recurrence, base case. What's the order of fill?
    2. Can you reduce 2-D to 1-D by reusing rows or columns? Walk through the dependency direction.
    3. Top-down with memoization vs bottom-up — which is easier to reason about, and which is faster in practice?

MLOps · Multi-tenant & multi-region

  • Multi-tenant model serving (per-tenant fine-tuning, isolation)MLOpsAnyscale

    Interview questions to prep

    1. Compare per-tenant fine-tuned models vs a shared base model with adapters (LoRA).
    2. How would you isolate a noisy or abusive tenant from degrading other tenants' latency?
  • Multi-region serving & data residencyMLOpsGoogle

    Interview questions to prep

    1. How do data-residency requirements (e.g., EU data stays in EU) shape your serving topology?
    2. What's the failover playbook when a region serving model traffic goes down?
  • Noisy neighbor & QoSMLOpsk8s

    Interview questions to prep

    1. How would you protect a critical model from noisy-neighbor latency on shared infra?
    2. Compare priority classes, resource quotas, and dedicated node pools for QoS — when does each fit?

References & further reading