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Updated weekly · Last refresh Sep 22

Databricks GenAI Engineer Interview Questions

The questions to prepare for a Databricks GenAI Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
System DesignStart here. 12 questions · ~96 min
Sharding and Memory PartitioningMedium

Evaluates strategies for fitting large models across GPUs using sharding and partitioning.

memory managementshardingDatabricks
Fault Tolerance and Model VersioningMedium

Assesses reliability and safe rollouts for production model serving.

production systemsapi designfault toleranceDatabricks
Dynamic Batching and Load BalancingMedium

Tests ability to balance throughput and fairness across tenants using batching and load balancing.

load balancingDatabricks
Distributed Inference for LLMsHard

Assesses system design for scaling LLM inference with latency and throughput constraints.

inference optimizationdistributed systemsDatabricks
RPC Trade-offs for Inter-Node CallsMedium

Evaluates understanding of RPC choices and their impact on distributed inference performance.

system architectureDatabricks
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2
More topics3 questions · ~24 min
Quantization Trade-offsMedium

Evaluates understanding of quantization impacts on accuracy, speed, and hardware efficiency.

performanceDatabricks
Mixture-of-Experts Inference DesignMedium

Evaluates ability to adapt inference architecture to MoE routing and compute patterns.

model architectureDatabricks
Bridging Research to ProductionMedium

Assesses cross-functional execution from research prototypes to production APIs.

collaborationDatabricks

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