1. Machine Learning Case Study: given a prompt, talk through how to formulate a ML problem, staring from what data to use, how to clean those data, preprocessing, ML modeling, validation and evaluation 2. General ML question in details: mathematical derivatives, algorithms comparisons, what methods to use for XXX data or problem, etc 3. Behavior questions: why chase, what to do if meet some stakeholders that does not understand ML , etc.
Techical topics relating to experience projects on resume
Basic and scenario based questions they asked
S.O.L.I.D, clustered vs non-clustered index, async/await, WebApplicationHost, k8s resources
What is my past experience in retail
Immutable in java, string pool, real life load handling scenarions
React and javascript related questions along with programming questions to test your skills around these topics. Questions for react were mostly related to functional programming, hooks, lifecycle methods, redux, RTL.
About the how will u handle the scenario when you have to convince developer for the bug
What is a controversial SEO take you have?
What makes you stand out from other leaders as a leader?
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