MasterCard Interview Questions and Answers

Given Python coding challenge related to string processing and second question was matrix processing using python

Q1. Bagging boosting and its difference and uses.
Ans. 
Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models by combining multiple weak learners.
• Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and combining their predictions through averaging or voting.

• Boosting involves training multiple models sequentially, where each subsequent model correc...read more
Answered by AI
Add your answer
Q2. Methods to minimize overfitting and underfitting
Ans. 
To minimize overfitting, use techniques like cross-validation, regularization, early stopping. To minimize underfitting, increase model complexity, gather more data.
• Use cross-validation to evaluate model performance on different subsets of data

• Apply regularization techniques like L1 or L2 regularization to penalize large coefficients

• Implement early stopping to prevent the model from training for too long

• Increase model ...read more
Answered by AI
Add your answer
Q3. Transformer architecture
Add your answer
Q4. LLM usecase and explain how to work on it
Ans. 
LLM usecase involves using Latent Linear Models for various data analysis tasks.
• LLM can be used for dimensionality reduction in high-dimensional data.

• LLM can be used for clustering similar data points together.

• LLM can be used for anomaly detection in datasets.

• LLM can be applied in natural language processing tasks such as text classification.

• LLM can be used in recommendation systems to predict user preferences.
Answered by AI
Add your answer

Q1. Given data, find out what AI project can be discovered and how to progress on implementing it.
Add your answer
Q2. Given data and usecase, which model to use to implement solution and how detailed steps.
Add your answer

Q1. Discussed each project in my resume in detail and related questions
Add your answer
Q2. Discussed team and personal behavioural questions
Add your answer

Q1. Ci cd tools.. Backend work
Add your answer
Q2. Monitoring tools like splunk dynatrace
Add your answer
Q3. Questions on linux
Add your answer
Q4. Questions on Database, rabbitmq, load blancers
Add your answer
Q5. Questions on cloud and sheel scripting
Add your answer

A typical case interview.

Q1. Case interview for a banking company
Add your answer
Q2. Standard guestimate questions
Add your answer

Q1. What are software development design patterns? Can you explain singleton design pattern and code an example to show that?
Ans. 
Software development design patterns are reusable solutions to common problems encountered in software design.
• Design patterns help in creating maintainable, scalable, and efficient software.

• Singleton design pattern ensures a class has only one instance and provides a global point of access to it.

• Example: Implementing a singleton class in Java -

• public class Singleton { private static Singleton instance; private Singleto...read more
Answered by AI
Add your answer
Q2. Can you develop and simple API app to show its running and anyone request sending to it?
Add your answer
Q3. What kind of databases you’ve worked on? And explain what is DML!
Ans. 
I have worked on relational databases like MySQL and PostgreSQL. DML stands for Data Manipulation Language.
• Worked on MySQL and PostgreSQL databases

• Familiar with writing SQL queries for data manipulation

• DML stands for Data Manipulation Language
Answered by AI
Add your answer
Q4. When we work with micro services , what is your experience which becomes challenge?
Ans. 
One challenge when working with microservices is managing communication between services.
• Ensuring proper service discovery and registration

• Handling network latency and failures

• Implementing effective monitoring and logging

• Maintaining consistency and data integrity across services
Answered by AI
Add your answer

Q1. What are the types of deployments?
Ans. 
Types of deployments include blue-green, canary, rolling, and immutable.
• Blue-green deployment involves running two identical production environments and switching between them.

• Canary deployment gradually rolls out changes to a small subset of users before deploying to the entire infrastructure.

• Rolling deployment updates a few instances at a time, ensuring continuous availability.

• Immutable deployment creates new instanc...read more
Answered by AI
Add your answer
Q2. What is Blue Green Deployment ?
Ans. 
Blue Green Deployment is a software release strategy that reduces downtime and risk by running two identical production environments.
• In Blue Green Deployment, one environment (blue) is live and serving production traffic while the other (green) is idle and ready to be switched to at any time.

• This strategy allows for zero downtime deployments, as the switch between blue and green environments can be done seamlessly.

• Blue...read more
Answered by AI
Add your answer
Q3. I was asked travelling salesman problem to solve.!
Add your answer

Q1. Tell me what you liked in last 2 rounds!
Ans. 
I enjoyed the challenging technical questions and the opportunity to showcase my problem-solving skills.
• Challenging technical questions

• Opportunity to showcase problem-solving skills
Answered by AI
Add your answer
Q2. Explain me the best project as per you which you worked upon and features of it.
Ans. 
Developed a web-based project management tool for tracking tasks and deadlines.
• Implemented user authentication and authorization using JWT tokens

• Integrated real-time chat feature using WebSockets

• Utilized React for front-end and Node.js for back-end development
Answered by AI
Add your answer
Q3. Some RegEx related questions were asked.
Add your answer
Q4. How vector databases work?
Ans. 
Vector databases store data in a vector format, allowing for efficient querying and analysis of high-dimensional data.
• Vector databases use vectors to represent data points in a multi-dimensional space.

• They are commonly used in machine learning and data science applications for tasks like similarity search and clustering.

• Examples of vector databases include Faiss, Annoy, and Milvus.
Answered by AI
Add your answer
Q5. If I give you a coding problem to solve in the language you don’t know, can you solve it, when you’re allowed to refer Google search?
Ans. 
Yes, I can solve a coding problem in a language I don't know with Google search.
• Utilize Google search to understand syntax and concepts in the unfamiliar language

• Break down the problem into smaller parts and search for solutions to each part

• Refer to online resources, forums, and documentation for guidance

• Practice writing and testing code snippets in the new language before attempting the full solution
Answered by AI
Add your answer
Q6. How you can parse location and shop name from a card transaction string?
Ans. 
Use regex to extract location and shop name from transaction string.
• Use regular expressions to match patterns for location and shop name.

• Look for keywords like 'at', 'from', 'in' to identify location.

• Consider variations in transaction strings and account for them in regex patterns.

• Example: 'Spent $50 at Starbucks Coffee' -> Location: Starbucks Coffee, Shop Name: Starbucks Coffee
Answered by AI
Add your answer