TCS Azure Data Engineer Interview Questions and Answers

I work as an Azure Data Engineer, focusing on data integration, transformation, and analytics using Azure services.

• Design and implement data pipelines using Azure Data Factory to automate data movement between various sources.

• Utilize Azure Databricks for data processing and analytics, enabling real-time insights for business decisions.

• Manage and optimize Azure SQL Database for efficient data storage and retrieval,...read more

IaaS provides virtualized infrastructure resources, while PaaS offers a platform for developing, testing, and managing applications.

• IaaS allows users to rent virtualized hardware resources like virtual machines, storage, and networking, while PaaS provides a platform for developers to build, deploy, and manage applications without worrying about the underlying infrastructure.

• In IaaS, users have more control over t...read more

SQL queries can be tailored to extract, manipulate, and analyze data based on specific input criteria.

• Use SELECT statements to retrieve data from tables. Example: SELECT * FROM Employees WHERE Department = 'Sales';

• Utilize WHERE clauses to filter results based on conditions. Example: SELECT Name FROM Customers WHERE Age > 30;

• Implement JOIN operations to combine data from multiple tables. Example: SELECT Orders.O...read more

Encountered a data corruption issue in Azure Data Lake Storage and resolved it by restoring from a backup.

• Identified the corrupted files by analyzing error logs and data inconsistencies

• Restored the affected data from the latest backup available

• Implemented preventive measures such as regular data integrity checks and backups

• Collaborated with the Azure support team to investigate the root cause

Get metadata activity is used to retrieve metadata of a specified data store or dataset in Azure Data Factory.

• Get metadata activity is used in Azure Data Factory to retrieve metadata of a specified data store or dataset.

• Parameters to pass include dataset, linked service, and optional folder path.

• The output of the activity includes information like schema, size, last modified timestamp, etc.

• Example: Get metadata of...read more

SQL inner and left join can be used to combine tables with duplicate values based on specified conditions.

• Use INNER JOIN to return rows from both tables that have matching values

• Use LEFT JOIN to return all rows from the left table and the matched rows from the right table

• Handle duplicate values by using DISTINCT or GROUP BY clauses