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What role does the Instance Fleet configuration play in cost optimization?

General/Otherhard0.3 min read

EMR Instance Fleets **mix On-Demand + Spot** across types and AZs. **Why:** Spot ~70% cheaper but interruptible; fleets diversify for reliability. **Logic:** Masters—On-Demand. Workers—Spot, capacity-optimized (availability over lowest price). **Trade-offs:** Lowest-price saves...

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Frequency
Low
Asked at 1 company
Category
243
questions in General/Other
Difficulty Split
151E|43M|49H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Capco
Key Concepts Tested
optimization

Why This Question Matters

This hard-level General/Other question appears frequently in data engineering interviews at companies like Capco. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (optimization) will help you answer variations of this question confidently.

How to Approach This

This is a senior-level question that tests architectural thinking. Lead with the high-level design, then drill into specifics. Discuss trade-offs explicitly - there is rarely one correct answer. Show awareness of scale, fault tolerance, and operational complexity.

Expert Answer
62 words

EMR Instance Fleets mix On-Demand + Spot across types and AZs. Why: Spot ~70% cheaper but interruptible; fleets diversify for reliability. Logic: Masters—On-Demand. Workers—Spot, capacity-optimized (availability over lowest price). Trade-offs: Lowest-price saves more but increases interruptions. Cost: 80% Spot target ≈60% worker cost savings; Spot blocks for long jobs. Scalability: Multiple types (m5, m5a, m6i) across AZs grow pool. Monitor interruption metrics.

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