HSBC Group Interview Questions and Answers

Q1. Explain your last project and your role in this project
Ans. 
Led a team in implementing a new CRM system for a large retail company
• Managed project timeline and deliverables

• Collaborated with stakeholders to gather requirements

• Provided training and support to end users

• Ensured successful implementation and user adoption

• Improved customer data management and analytics
Answered by AI
Add your answer
Q2. Overall working experience with other companies
Ans. 
I have over 10 years of experience working with various companies in consulting roles.
• Managed client relationships and delivered successful projects on time and within budget

• Led cross-functional teams to drive business growth and improve operational efficiency

• Developed and implemented strategic plans to address client needs and achieve objectives
Answered by AI
Add your answer
Q3. Why choose kafka over MQ ? what challenges you faced during kafka implementation ?
Ans. 
Kafka is chosen for its scalability and fault tolerance compared to MQ.
• Kafka offers higher throughput and lower latency compared to MQ.

• Kafka is horizontally scalable, allowing for easy expansion as data volume grows.

• Kafka provides fault tolerance through replication of data across multiple brokers.

• Challenges faced during Kafka implementation may include setting up proper configurations, ensuring data consistency, and m...read more
Answered by AI
Add your answer
Q4. Monolith to microservice migration journey ? what all decisions needs to be taken and how the entire migration took place.
Ans. 
Monolith to microservice migration involves breaking down a large application into smaller, independent services.
• Evaluate the current monolith architecture and identify the components that can be decoupled into microservices.

• Define the boundaries of each microservice to ensure they are cohesive and loosely coupled.

• Choose the right technology stack for each microservice based on its requirements and scalability needs.

• Im...read more
Answered by AI
Add your answer
Q5. If worked for RestAPI ? what is the use of swagger ? what is the content of Swagger documentation ?
Ans. 
Swagger is a tool used for documenting and testing REST APIs.
• Swagger is used for documenting REST APIs by providing a user-friendly interface to view and interact with API endpoints.

• It allows developers to easily understand the functionality of an API, including available endpoints, request/response formats, and authentication methods.

• Swagger documentation typically includes information such as API endpoints, request p...read more
Answered by AI
Add your answer
Q6. Only this was asked to me , and rejected
Add your answer

Q1. Types of Chunking in data preparation in RAG
Add your answer
Q2. How Embedding works in Vector Databases
Ans. 
Embeddings in vector databases represent data points as dense vectors for efficient similarity search and retrieval.
• Embeddings convert categorical data into continuous vector space, enabling mathematical operations.

• For example, words can be represented as vectors in Word2Vec, capturing semantic relationships.

• Vector databases store these embeddings, allowing for fast nearest neighbor searches.

• Applications include recomm...read more
Answered by AI
Add your answer
Q3. Explain ARIMA model
Ans. 
ARIMA is a statistical model used for forecasting time series data by capturing trends and seasonality.
• ARIMA stands for AutoRegressive Integrated Moving Average.

• It combines three components: AR (AutoRegressive), I (Integrated), and MA (Moving Average).

• AR component uses past values to predict future values.

• I component involves differencing the data to make it stationary.

• MA component models the error of the prediction as...read more
Answered by AI
Add your answer
Q4. How can we decide to choose Linear Regression for a business problem
Ans. 
Linear Regression is chosen for its simplicity, interpretability, and effectiveness in modeling linear relationships in data.
• Linear relationship: Use when the relationship between independent and dependent variables is linear, e.g., predicting sales based on advertising spend.

• Continuous outcome: Suitable for predicting continuous outcomes, like house prices based on features like size and location.

• Interpretability: Pro...read more
Answered by AI
Add your answer

Q1. What is token and it's limit for Open Source LLMs
Ans. 
Tokens are units of text processed by LLMs, with limits varying by model, affecting input/output length.
• A token can be as short as one character or as long as one word (e.g., 'cat' is one token, 'chatGPT' is one token).

• Common token limits for open-source LLMs range from 512 to 4096 tokens, depending on the architecture.

• For example, GPT-2 has a limit of 1024 tokens, while GPT-3 can handle up to 4096 tokens.

• Exceeding tok...read more
Answered by AI
Add your answer
Q2. Difference of a Regression and Time Series problem
Ans. 
Regression predicts continuous outcomes; time series analyzes data points over time for trends and patterns.
• Regression focuses on relationships between variables (e.g., predicting house prices based on features).

• Time series analyzes data collected at regular intervals (e.g., stock prices over time).

• Regression can be used for static datasets, while time series requires temporal ordering.

• In regression, predictors can be ...read more
Answered by AI
Add your answer
Q3. Advantage of LSTM over RNN
Ans. 
LSTMs effectively handle long-term dependencies, overcoming RNNs' vanishing gradient problem.
• LSTMs use memory cells to store information over long sequences, unlike RNNs which forget earlier data.

• They employ gates (input, output, forget) to control the flow of information, enhancing learning.

• LSTMs are better suited for tasks like language modeling and time series prediction where context is crucial.

• For example, in sent...read more
Answered by AI
Add your answer
Q4. Performance Metrics for Logistic Regression
Add your answer

They posed questions assessing logical and analytical aptitude.

After completing and passing the aptitude round, I was allowed to take the coding round exam, where the questions ranged from easy to medium level.

Q1. Basic concepts of oops in java. DBMS questions.
Add your answer
Q2. Questions related to my projects not in dept.
Add your answer
Q3. They asked me to implement a stack using queues.
Add your answer

Q1. Implement search in binary tree
Ans. 
Implement search in binary tree using recursion
• Start at the root node

• Compare the target value with the current node value

• If target is less than current node value, search left subtree; if greater, search right subtree

• Repeat process until target is found or node is null
Answered by AI
Add your answer
Q2. Previous work experience
Ans. 
I have 5 years of experience as a Platform Engineer, working with cloud technologies and automation tools.
• Worked with AWS, Azure, and Google Cloud Platform to design and implement scalable infrastructure

• Automated deployment processes using tools like Terraform and Ansible

• Managed containerized applications with Docker and Kubernetes

• Collaborated with development teams to optimize application performance and reliability

• Pe...read more
Answered by AI
Add your answer

Q1. Why are switching
Ans. 
Switching is important in networking to enable communication between devices on different networks.
• Switching allows devices on the same network to communicate with each other by forwarding data packets based on MAC addresses.

• Switches operate at Layer 2 of the OSI model and use MAC addresses to make forwarding decisions.

• Switching reduces network congestion by only sending data to the intended recipient instead of broadc...read more
Answered by AI
Add your answer
Q2. What is Netflix OSS
Ans. 
Netflix OSS is a set of open-source software tools and libraries developed by Netflix for building and managing microservices architecture.
• Netflix OSS includes tools like Eureka for service discovery, Ribbon for client-side load balancing, and Hystrix for fault tolerance.

• It allows developers to build resilient, scalable, and fault-tolerant distributed systems.

• Netflix OSS promotes the use of microservices architecture b...read more
Answered by AI
Add your answer