Atos Azure DevOps Engineer Interview Questions and Answers

CI/CD flow is the process of automating the build, test, and deployment of code changes.

• Continuous Integration (CI) involves automatically building and testing code changes as they are committed to the repository.

• Continuous Deployment (CD) involves automatically deploying code changes to production after passing tests.

• CI/CD pipelines use tools like Jenkins, Azure DevOps, or GitLab to automate the process.

• Automated test...read more

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

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')

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