PwC Azure Data Engineer Interview Questions, Process, and Tips

Q1. What is polybase?
Ans. 
Polybase is a feature in Azure SQL Data Warehouse that allows users to query data stored in Hadoop or Azure Blob Storage.
• Polybase enables users to access and query external data sources without moving the data into the database.

• It provides a virtualization layer that allows SQL queries to seamlessly integrate with data stored in Hadoop or Azure Blob Storage.

• Polybase can significantly improve query performance by levera...read more
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Q2. Explain your current project architecture.
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Q1. What is Medallion Architecture
Ans. 
Medallion Architecture is a data processing architecture that involves breaking down data into smaller pieces for easier processing.
• Medallion Architecture involves breaking down data into smaller pieces for easier processing

• It allows for parallel processing of data to improve performance

• Commonly used in big data processing systems like Hadoop and Spark
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Q2. What is Spark Architecture
Ans. 
Spark Architecture is a distributed computing framework that provides an efficient way to process large datasets.
• Spark Architecture consists of a driver program, cluster manager, and worker nodes.

• It uses Resilient Distributed Datasets (RDDs) for fault-tolerant distributed data processing.

• Spark supports various programming languages like Scala, Java, Python, and SQL.

• It includes components like Spark Core, Spark SQL, Spa...read more
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Q3. Find the second highest salary in employee table
Ans. 
Use SQL query to find the second highest salary in employee table
• Use SQL query with ORDER BY and LIMIT to get the second highest salary

• Example: SELECT DISTINCT salary FROM employee ORDER BY salary DESC LIMIT 1, 1
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Q1. How do you perform Partitioning
Ans. 
Partitioning in Azure Data Engineer involves dividing data into smaller chunks for better performance and manageability.
• Partitioning can be done based on a specific column or key in the dataset

• It helps in distributing data across multiple nodes for parallel processing

• Partitioning can improve query performance by reducing the amount of data that needs to be scanned

• In Azure Synapse Analytics, you can use ROUND_ROBIN or H
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Q2. What are your current responsibilities as Azure Data Engineer
Ans. 
As an Azure Data Engineer, my current responsibilities include designing and implementing data solutions on Azure, optimizing data storage and processing, and ensuring data security and compliance.
• Designing and implementing data solutions on Azure

• Optimizing data storage and processing for performance and cost efficiency

• Ensuring data security and compliance with regulations

• Collaborating with data scientists and analysts
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Coding round will consists of SQL and pyspark questions, it's a medium level

Q1. Day to day activities
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Q2. Challenging problem
Ans. 
Designing a data pipeline to process and analyze large volumes of real-time data from multiple sources.
• Identify the sources of data and their formats

• Design a scalable data ingestion process

• Implement data transformation and cleansing steps

• Utilize Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for processing and analysis
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Q1. What are the difference b/w data lake gen1 and gen2
Ans. 
Data Lake Gen1 is based on Hadoop Distributed File System (HDFS) while Gen2 is built on Azure Blob Storage.
• Data Lake Gen1 uses HDFS for storing data while Gen2 uses Azure Blob Storage.

• Gen1 has a hierarchical file system while Gen2 has a flat file system.

• Gen2 provides better performance, scalability, and security compared to Gen1.

• Gen2 supports Azure Data Lake Storage features like tiering, lifecycle management, and acce...read more
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