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Home/Questions/Behavioral/Tell me about a time when a Spark job failed in production. How did you fix it?

Tell me about a time when a Spark job failed in production. How did you fix it?

Behavioralmedium0.2 min read

Situation: Spark job OOM due to key skew—one partition had 80% of data. Task: Diagnose and fix. Action: Used Spark UI; identified skewed stage. Fixed with salting, increased executor memory, broadcast joins for dimensions. Deployed; added skew monitoring and data quality...

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Frequency
Low
Asked at 1 company
Category
144
questions in Behavioral
Difficulty Split
100E|18M|26H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Microsoft
Key Concepts Tested
joinpartitionspark

Why This Question Matters

This medium-level Behavioral question appears frequently in data engineering interviews at companies like Microsoft. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (join, partition, spark) will help you answer variations of this question confidently.

How to Approach This

Break this problem into components. Identify the core trade-offs involved, then walk the interviewer through your reasoning step by step. Demonstrate awareness of edge cases and production considerations - this is what separates good answers from great ones.

Expert Answer
49 words

Situation: Spark job OOM due to key skew—one partition had 80% of data. Task: Diagnose and fix. Action: Used Spark UI; identified skewed stage. Fixed with salting, increased executor memory, broadcast joins for dimensions. Deployed; added skew monitoring and data quality check. Result: Job succeeded; pattern documented for future.

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Companies that ask this Behavioral question

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According to DataEngPrep.tech, this is one of the most frequently asked Behavioral 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.

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