Prepare for and practice interview questions from KPMG across topics like SQL, Presentation, Algorithms and more.

KPMG Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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Let’s say we’ve just delivered a product recommendation algorithm to a retail client, and it’s performing well on their current data.

How would you make sure this algorithm remains reliable and effective as the client’s customer preferences and product catalog evolve over the next year?

How would you ensure a delivered recommendation algorithm stays reliable as business data and preferences change?

Algorithm Reliability

ML Ops & Training Pipelines

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Question	Topic	Difficulty	Ask Chance
Algorithm Reliability	ML Ops & Training Pipelines	Hard	Very High
Boarding Times Bias	Statistics	Medium	Low
Hundreds of Hypotheses	Statistics	Medium	Very Low

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