Situation: Cloud spend grew with adoption. Task: Reduce cost without impacting delivery. Action: (1) Right-sized EC2 and EMR. (2) Reserved Instances for baseline. (3) S3 lifecycle and Intelligent-Tiering. (4) Stopped non-prod outside hours. (5) Tagging and chargeback. (6) Query...
This hard-level Cloud/Tools question appears frequently in data engineering interviews at companies like Walmart. 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.
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.
Situation: Cloud spend grew with adoption. Task: Reduce cost without impacting delivery. Action: (1) Right-sized EC2 and EMR. (2) Reserved Instances for baseline. (3) S3 lifecycle and Intelligent-Tiering. (4) Stopped non-prod outside hours. (5) Tagging and chargeback. (6) Query optimization (Athena, Redshift). Result: ~30% cost reduction. Best practice: Tag everything; budgets and alerts; monthly review; Spot for fault-tolerant.
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Analyze My Answer — FreeAccording to DataEngPrep.tech, this is one of the most frequently asked Cloud/Tools interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.