Blue Ridge Data Architect Interview Questions and Answers

Q1. Questions related to the current and past projects.
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Q2. Aws related questions.
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Q3. Data warehousing basics
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Q1. Explain about the roles and responsibilities.
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Q2. Discussion about the role in Genpact.
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Q1. Asked about expectated salary
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Q2. Why are you switching
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Q1. Asked about data tools other than AWS services
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Q2. When did you use HUDI and Iceberg
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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
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Q1. Window function coding test
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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
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Q2. Explain azure data factory
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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
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Q1. What is data vault
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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
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Q2. What is lambda architecture
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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
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Q1. Whether have onsite exposure
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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
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Q1. Data Modeling Concepts, SQL Query
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Q2. Data Governance, Data Lineage, ETL process,
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SQL Scripts to write and also also asked to design an data model of my choice in Telecom Domain

Q1. Interview is not happend
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Q2. Interview is no not happend
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Q1. Questions are related to data modelling, data warehousing, big data
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Q1. Data model for book lending
Ans. 
A data model for book lending
• Create entities for books, borrowers, and loans

• Include attributes such as book title, author, borrower name, loan date, and due date

• Establish relationships between books and borrowers through loan transactions

• Consider additional attributes like book genre, borrower contact information, and loan status
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Q1. Tell us about you last project
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Q2. Provide detail about you project
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