TCS Data Architect Interview Questions and Answers

Q1. Asked about data tools other than AWS services
Add your answer
Q2. When did you use HUDI and Iceberg
Ans. 
I have used HUDI and Iceberg in my previous project for managing large-scale data lakes efficiently.
• Implemented HUDI for incremental data ingestion and managing large datasets in real-time

• Utilized Iceberg for efficient table management and data versioning

• Integrated HUDI and Iceberg with Apache Spark for processing and querying data
Answered by AI
Add your answer

Q1. Window function coding test
Ans. 
Window function coding test involves using window functions in SQL to perform calculations within a specified window of rows.
• Understand the syntax and usage of window functions in SQL

• Use window functions like ROW_NUMBER(), RANK(), DENSE_RANK(), etc. to perform calculations

• Specify the window frame using PARTITION BY and ORDER BY clauses

• Practice writing queries with window functions to get comfortable with their usage
Answered by AI
Add your answer
Q2. Explain azure data factory
Ans. 
Azure Data Factory is a cloud-based data integration service that allows you to create, schedule, and manage data pipelines.
• Azure Data Factory is used to move and transform data from various sources to destinations.

• It supports data integration processes like ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform).

• You can create data pipelines using a visual interface in Azure Data Factory.

• It can connect to on...read more
Answered by AI
Add your answer

Q1. What is data vault
Ans. 
Data Vault is a modeling methodology for designing highly scalable and flexible data warehouses.
• Data Vault focuses on long-term historical data storage

• It consists of three main components: Hubs, Links, and Satellites

• Hubs represent business entities, Links represent relationships between entities, and Satellites store attributes of entities

• Data Vault allows for easy scalability and adaptability to changing business requ
Answered by AI
Add your answer
Q2. What is lambda architecture
Ans. 
Lambda architecture is a data processing architecture designed to handle massive quantities of data by using both batch and stream processing methods.
• Combines batch processing layer, speed layer, and serving layer

• Batch layer processes historical data in large batches

• Speed layer processes real-time data

• Serving layer merges results from batch and speed layers for querying

• Example: Apache Hadoop for batch processing, Apach
Answered by AI
Add your answer

Q1. Whether have onsite exposure
Ans. 
Yes, I have onsite exposure in previous roles.
• I have worked onsite at various client locations to gather requirements and implement solutions.

• I have experience collaborating with cross-functional teams in person.

• I have conducted onsite training sessions for end users on data architecture best practices.

• I have participated in onsite data migration projects.

• I have worked onsite to troubleshoot and resolve data-related is
Answered by AI
Add your answer

Q1. Data Modeling Concepts, SQL Query
Add your answer
Q2. Data Governance, Data Lineage, ETL process,
Add your answer

SQL Scripts to write and also also asked to design an data model of my choice in Telecom Domain

Q1. Interview is not happend
Add your answer
Q2. Interview is no not happend
Add your answer

Q1. Sql questions based on fundamental
Add your answer

Q1. Questions are related to data modelling, data warehousing, big data
Add your answer

Q1. Tell us about you last project
Add your answer
Q2. Provide detail about you project
Add your answer