Atos Azure DevOps Engineer Interview Questions and Answers

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

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

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.

I connect onPrem to Azure using Azure ExpressRoute or VPN Gateway.

• Use Azure ExpressRoute for private connection through a dedicated connection.

• Set up a VPN Gateway for secure connection over the internet.

• Ensure proper network configurations and security settings.

• Use Azure Virtual Network Gateway to establish the connection.

• Consider using Azure Site-to-Site VPN for connecting onPremises network to Azure Virtual Network.

Autoloader in Databricks is a feature that automatically loads new data files as they arrive in a specified directory.

• Autoloader monitors a specified directory for new data files and loads them into a Databricks table.

• It supports various file formats such as CSV, JSON, Parquet, Avro, and ORC.

• Autoloader simplifies the process of ingesting streaming data into Databricks without the need for manual intervention.

• It can be ...read more

Json data normalization involves structuring data to eliminate redundancy and improve efficiency.

• Identify repeating groups of data

• Create separate tables for each group

• Establish relationships between tables using foreign keys

• Eliminate redundant data by referencing shared values

I am an experienced Azure Administrator with a strong background in managing cloud infrastructure and optimizing performance.

• I have a deep understanding of Azure services and their deployment

• I have successfully implemented and managed virtual machines, storage accounts, and networking in Azure

• I have experience in monitoring and troubleshooting Azure resources

• I am skilled in implementing security measures and ensuring c...read more

Cloud migration of .NET webapp involves assessing the application, choosing the right migration strategy, and executing the migration process.

• Assess the application to understand its dependencies, architecture, and resource requirements.

• Choose the appropriate migration strategy: rehost, refactor, rearchitect, rebuild, or replace.

• Prepare the target Azure environment, including creating necessary resources like virtual m...read more

Data masking in Azure helps protect sensitive information by replacing original data with fictitious data.

• Use Dynamic Data Masking in Azure SQL Database to obfuscate sensitive data in real-time

• Leverage Azure Purview to discover, classify, and mask sensitive data across various data sources

• Implement Azure Data Factory to transform and mask data during ETL processes

• Utilize Azure Information Protection to apply encryption