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Home/Questions/Behavioral/Describe a time you had to make a difficult decision with limited information.

Describe a time you had to make a difficult decision with limited information.

Behavioralhard0.7 min read

Reviewed by Aditya Kumar · Last reviewed 2026-03-24

**Situation**: We had to choose between two cloud providers (GCP vs AWS) for a new data platform. Pricing was opaque, performance benchmarks were incomplete, and we had a 4-week window to decide. **Task**: Make a defensible choice with incomplete data. **Action**: I ran a...

🤖 Analyze Your Answer
Frequency
Low
Asked at 2 companies
Category
144
questions in Behavioral
Difficulty Split
100E|18M|26H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
PresidioSwiggy
Interview Pro Tip

Red Flag: 'I just picked one' or ignoring trade-offs. Pro-Move: Show a structured process (POC, criteria, documentation) and willingness to revisit if assumptions change.

Key Concepts Tested
bigqueryetlwindow

Why This Question Matters

This hard-level Behavioral question appears frequently in data engineering interviews at companies like Presidio, Swiggy. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (bigquery, etl, window) 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
146 words

Situation: We had to choose between two cloud providers (GCP vs AWS) for a new data platform. Pricing was opaque, performance benchmarks were incomplete, and we had a 4-week window to decide. Task: Make a defensible choice with incomplete data. Action: I ran a time-boxed evaluation: (1) POC of core workloads (batch ETL, streaming, ad-hoc queries) on both platforms. (2) Benchmarked latency and cost for our typical queries. (3) Consulted with platform peers and reviewed roadmaps and vendor support. (4) Built a decision matrix (cost, performance, integration, vendor lock-in). I chose GCP (BigQuery + Dataflow) based on better integration with our existing stack, stronger developer experience, and more predictable pricing for our pattern. I documented the rationale and assumptions. Result: The platform launched on time and scaled to 10x initial load. We avoided a costly migration. The decision doc became a template for future vendor evaluations.

⚡
Pro Tip

Red Flag: 'I just picked one' or ignoring trade-offs. Pro-Move: Show a structured process (POC, criteria, documentation) and willingness to revisit if assumptions change.

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According to DataEngPrep.tech, this is one of the most frequently asked Behavioral interview questions, reported at 2 companies. DataEngPrep.tech maintains an editor-reviewed database of 1,863 data engineering interview questions across 7 categories.

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