Popular roles

Software Engineer Data Analyst Data Scientist Data Engineer Business Analyst AI Engineer Machine Learning Engineer Product Manager

Browse

Browse All RolesEvery role hub, from analyst to ML Browse All CompaniesCompany-specific interview loops All Interview GuidesThe full guide library

Top questions by role

Software Engineer Data Analyst Data Scientist Data Engineer Business Analyst AI Engineer Machine Learning Engineer Product Manager

Top questions by skill

SQL Python Statistics Machine Learning A/B Testing System Design Generative AI Product Sense Metrics Behavioral

Browse all questions →Try a mock interview

Experiences Coaching

Practice

Mock InterviewsTimed interview simulations with feedback Success PathYour 6-week structured plan ModulesCurated lessons by topic WebinarsTalks from ex-Big Tech data leads PlaygroundA free-form scratch editor

Learn

BlogInterview strategy and career advice Tech Job Market ReportHiring trends across data and AI roles For UniversitiesDataford for career centers About DatafordWho we are and how we build

Pitfalls Containerizing Legacy Apps

MediumTechnical Fundamentals00:00

Practice interviewer

In session

5 left

00:00

Whenever you're ready, walk me through how you'd approach this.

You need to log in / sign up to chat or submit.

Problem

What are the common pitfalls in containerizing a legacy application?