Accenture Azure Data Engineer Interview Questions, Process, and Tips

Q1. Activities used in ADF
Ans. 
Activities in Azure Data Factory (ADF) are the building blocks of a pipeline and perform various tasks like data movement, data transformation, and data orchestration.
• Activities can be used to copy data from one location to another (Copy Activity)

• Activities can be used to transform data using mapping data flows (Data Flow Activity)

• Activities can be used to run custom code or scripts (Custom Activity)

• Activities can be u...read more
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Q2. Dataframes in pyspark
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Dataframes in pyspark are distributed collections of data organized into named columns.
• Dataframes are similar to tables in a relational database, with rows and columns.

• They can be created from various data sources like CSV, JSON, Parquet, etc.

• Dataframes support SQL queries and transformations using PySpark functions.

• Example: df = spark.read.csv('file.csv')
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Q1. Managerial Questions
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Q2. About project roles and resposibilities
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Most of the questions were from resume and scenario-based. The basic SQL and Pyspark Questions

Q1. Tell me about yourself
Ans. Tell about your background and current project work
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Q2. What is 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 and orchestration of workflows.

• You can monitor and manage data pipelines using Azure Data Factory.

• It provides a visual interface for designing and monitoring data pipelines.

• Azure...read more
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Q3. What is Azure data lake
Ans. 
Azure Data Lake is a scalable data storage and analytics service provided by Microsoft Azure.
• Azure Data Lake Store is a secure data repository that allows you to store and analyze petabytes of data.

• Azure Data Lake Analytics is a distributed analytics service that can process big data using Apache Hadoop and Apache Spark.

• It is designed for big data processing and analytics tasks, providing high performance and scalabili
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Q4. 2nd highest salary from employee table
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Q5. What is index in table
Ans. 
An index in a table is a data structure that improves the speed of data retrieval operations on a database table.
• Indexes are used to quickly locate data without having to search every row in a table.

• They can be created on one or more columns in a table.

• Examples of indexes include primary keys, unique constraints, and non-unique indexes.
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Q1. What is copy activity
Ans. 
Copy activity is a tool in Azure Data Factory used to move data between data stores.
• Copy activity is a feature in Azure Data Factory that allows you to move data between supported data stores.

• It supports various data sources and destinations such as Azure Blob Storage, Azure SQL Database, and more.

• You can define data movement tasks using pipelines in Azure Data Factory and monitor the progress of copy activities.
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Q2. Data bricks architecture
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