MasterCard Interview Questions, Process, and Tips

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
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Q2. Can you develop and simple API app to show its running and anyone request sending to it?
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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
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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
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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
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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
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Q3. I was asked travelling salesman problem to solve.!
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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
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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
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Q3. Some RegEx related questions were asked.
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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.
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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
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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
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Q1. How to maintain security in Microservices ?
Ans. 
Maintaining security in Microservices involves implementing authentication, authorization, encryption, and monitoring.
• Implement authentication and authorization mechanisms to control access to microservices.

• Use encryption to secure communication between microservices.

• Implement monitoring and logging to detect and respond to security incidents.

• Regularly update dependencies and patches to address security vulnerabilities...read more
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Q2. Difference between Kafka and RabbitMQ ?
Ans. 
Kafka is a distributed streaming platform while RabbitMQ is a message broker.
• Kafka is designed for high-throughput, fault-tolerant, real-time data streaming.

• RabbitMQ is a traditional message broker that follows the AMQP protocol.

• Kafka uses a publish-subscribe model while RabbitMQ uses a message queuing model.

• Kafka is horizontally scalable and provides strong durability guarantees.

• RabbitMQ supports multiple messaging pr...read more
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Q3. What are the usecases where CQRS pattern can be used ?
Ans. 
CQRS pattern can be used in scenarios where read and write operations need to be separated for better scalability and performance.
• CQRS can be used in applications with complex domain models that require different models for reading and writing data.

• It can be beneficial in scenarios where read operations heavily outnumber write operations.

• CQRS is useful when there is a need to optimize read and write operations independ...read more
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Q4. How will you resolve eventual consistency in a relational DB from design perspective ?
Ans. 
Implementing eventual consistency in a relational DB involves careful design and use of techniques like conflict resolution and versioning.
• Use timestamp-based conflict resolution to handle conflicting updates.

• Implement versioning to track changes and resolve conflicts.

• Consider using distributed transactions or distributed consensus algorithms like Paxos or Raft.

• Use compensating transactions to rollback changes in case ...read more
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Q5. Tell me any challenging production issue you faced and how you resolved it ?
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Q1. Java Fundamentals
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Q2. System Design
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Q1. Previous experience
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Q2. Spring boot
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Q1. Offer discussion
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Q2. Onboarding process
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General DSA with some ds questions

Q1. Walk through resume
Ans. 
I will walk through my resume highlighting key experiences and skills.
• Started with education background, mentioning degrees and relevant coursework

• Highlighted previous internships or work experience in data science or related fields

• Discussed projects worked on, including tools and techniques used

• Mentioned any relevant skills such as programming languages, statistical analysis, and machine learning algorithms
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Q2. Reverse linked list
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Q3. Use of oops in some cases
Ans. 
Object-oriented programming (OOP) is useful for creating reusable code, organizing complex systems, and modeling real-world entities.
• Encapsulation: OOP allows for bundling data and methods into objects, providing data security and reducing complexity.

• Inheritance: OOP enables the creation of new classes based on existing ones, promoting code reuse and reducing redundancy.

• Polymorphism: OOP allows objects to be treated as...read more
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Q1. System design basics
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Q2. Java 8 stream api code
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Q3. Current project
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Q1. Only arrogance related stuff
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Q2. Only arrogance related stuff happened
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3 Coding Questions of moderate level .

Q1. DBMS Project asked in deep.
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Q2. Basic codes to write e.g. Insertion , Deletion in Linkedlist
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Q3. As i haved added ML project. They go into algorithms detailed explanation.
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Q1. Ask Questions abt family background.
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Q2. Few more details about your future plan.
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Q1. SQL case study for data
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Q2. Find nth salary
Ans. 
To find the nth salary in a dataset
• Sort the dataset in descending order based on salary

• Remove duplicates if necessary

• Return the salary at index n-1
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