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Mindbody Interview Questions and Answers
Mindbody Interview Experiences
13 interviews found
Anonymous
I appeared for an interview in May 2025, where I was asked the following questions.
- Q1. How do you see yourself in 5 years?
- Ans.
In five years, I envision myself as a lead engineer, driving innovative projects and mentoring the next generation of developers.
I aim to lead a team of engineers, fostering collaboration and innovation, similar to how I guided a project team in my last role.
I plan to deepen my expertise in cloud technologies, having successfully implemented AWS solutions in previous projects.
I aspire to contribute to open-source proje...
- Q2. Which technologies you used in your career?
- Ans.
I have worked with various technologies including web development, cloud computing, and data management throughout my career.
Proficient in JavaScript frameworks like React and Angular for building dynamic web applications.
Experience with backend technologies such as Node.js and Express for server-side development.
Utilized cloud platforms like AWS and Azure for deploying scalable applications.
Worked with databases inclu...
I applied via Approached by Company and was interviewed in Aug 2024. There were 3 interview rounds.
Codility platform
1 hr
Simple string manipulation - Given a string and integer k, crop the strings to fit into k length with the following conditions:
You can only crop out the whole words.
If there is cropping of words in the string, append " ..." in the end. And the overall length should be <= k
If the first word itself is longer than k, return "..."
(1 Question)
- Q1. Questions about past projects and in depth discussion
(1 Question)
- Q1. Given a buggy solution for island problem, figure out the bug and solve it.
- Ans.
Identify and fix bug in a buggy solution for island problem
Check for incorrect logic in identifying islands
Ensure proper handling of edge cases like boundaries
Verify the implementation of depth-first search or breadth-first search algorithm
Skills evaluated in this interview
Selected
I applied via Job Portal and was interviewed in Aug 2024. There were 3 interview rounds.
I think 35 mins and 60 question, no negative marking
A coding test in ruby with proper test cases
(1 Question)
- Q1. It's about the projects on which I have worked
I appeared for an interview in Apr 2025, where I was asked the following questions.
- Q1. Can you elaborate on your technical background, specifically regarding your experience with AWS, React, and Node?
- Q2. What are your reasons for considering a transition to a new company after having X years of experience in your current role?
I applied via Referral and was interviewed in Jun 2024. There were 2 interview rounds.
(1 Question)
- Q1. Work related resume based
Launch dynamic pricing feature
Codility test: A simple string modify and display type question.
Level: Easy
(2 Questions)
- Q1. System Design interview
- Q2. Sys design type question
Cognitive test 20 minutes 40 questions mostly figure based
(1 Question)
- Q1. Questions based on DBMS, OS, Networking and DSA.
(1 Question)
- Q1. Based on projects and approach to web development.
(1 Question)
- Q1. General HR questions.
I applied via LinkedIn and was interviewed in Aug 2022. There were 3 interview rounds.
It was a compulsory cognitive test. They also provide resources for this.
(2 Questions)
- Q1. What is confusion matrix?
- Ans.
Confusion matrix is a table used to evaluate the performance of a classification model.
It shows the number of true positives, true negatives, false positives, and false negatives.
It helps in calculating various evaluation metrics like accuracy, precision, recall, and F1 score.
It is useful in identifying which classes are being misclassified and how often.
Example: A confusion matrix for a binary classification model can...
- Q2. Difference between precision and recall?
- Ans.
Precision is the ratio of true positives to all predicted positives, while recall is the ratio of true positives to all actual positives.
Precision measures how accurate the positive predictions are, while recall measures how complete the positive predictions are.
High precision means that when the model predicts a positive, it is likely to be correct. High recall means that the model is able to identify most of the posi...
Interview Preparation Tips
Skills evaluated in this interview
Sudhanshu Singh
Selected
I applied via Company Website and was interviewed before Aug 2023. There was 1 interview round.
30 min topic - Matching defination , statement and conculsions
I applied via LinkedIn and was interviewed before Mar 2021. There were 7 interview rounds.
A cognitive and personality test
(1 Question)
- Q1. Discussion with a Lead Designer on a given problem statement and design approach
(1 Question)
- Q1. Portfolio Discussion with a Lead Designer
General background, portfolio review with two team members
(1 Question)
- Q1. Discussion with Product Manager
(1 Question)
- Q1. Final Discussion with Director
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