Birlasoft Azure Data Engineer Interview Questions and Answers

Terraform is an open-source infrastructure as code software tool created by HashiCorp.

• Terraform allows users to define and provision infrastructure using a declarative configuration language.

• It supports multiple cloud providers such as AWS, Azure, Google Cloud, and more.

• Terraform uses 'terraform plan' to create an execution plan and 'terraform apply' to apply the changes.

• It helps in automating the creation, modificatio...read more

Azure DevOps is a set of development tools provided by Microsoft to help teams collaborate and deliver high-quality software.

• Azure DevOps includes services such as Azure Repos, Azure Pipelines, Azure Boards, Azure Artifacts, and Azure Test Plans.

• It allows for version control, continuous integration/continuous deployment (CI/CD), project management, and testing.

• Teams can plan, build, test, and deploy applications using ...read more

CI/CD pipelines automate the process of building, testing, and deploying code changes.

• CI/CD stands for Continuous Integration/Continuous Deployment

• Automates the process of integrating code changes into a shared repository and deploying them to production

• Helps in detecting and fixing integration errors early in the development process

• Enables faster delivery of software updates and improvements

• Popular tools for CI/CD pip...read more

Docker is a platform for developing, shipping, and running applications in containers. Kubernetes is a container orchestration tool for managing containerized applications across a cluster of nodes.

• Docker allows developers to package applications and their dependencies into containers for easy deployment.

• Kubernetes automates the deployment, scaling, and management of containerized applications.

• Docker containers are lig...read more

Microservices are a software development technique where applications are composed of small, independent services that communicate with each other.

• Microservices are small, independent services that focus on specific business functions.

• Each microservice runs its own process and communicates with other services through APIs.

• Microservices can be developed, deployed, and scaled independently.

• Examples of companies using mic

Containerisation is a method of packaging, distributing, and running applications in isolated environments called containers.

• Containers are lightweight, portable, and efficient units that encapsulate an application and its dependencies.

• They provide a consistent environment for applications to run across different platforms.

• Popular containerization platforms include Docker and Kubernetes.

• Containerisation helps in achiev...read more

Performance tuning in Azure Data Factory involves optimizing data flows and activities to improve efficiency and reduce processing time.

• Identify bottlenecks in data flows and activities

• Optimize data partitioning and distribution

• Use appropriate data integration patterns

• Leverage caching and parallel processing

• Monitor and analyze performance metrics

Types of clusters in Databricks include Standard, High Concurrency, and Single Node clusters.

• Standard cluster: Suitable for running single jobs or workflows.

• High Concurrency cluster: Designed for multiple users running concurrent jobs.

• Single Node cluster: Used for development and testing purposes.

To find the highest 2nd salary in the employee table, you need to use SQL query with the ORDER BY and LIMIT clauses.

• Use SQL query with ORDER BY clause to sort salaries in descending order

• Use LIMIT 1,1 to get the second highest salary

Use SQL query with GROUP BY and HAVING clause to find duplicate rows.

• Use GROUP BY to group rows with same values

• Use HAVING COUNT(*) > 1 to filter out duplicate rows

• Example: SELECT column1, column2, COUNT(*) FROM table_name GROUP BY column1, column2 HAVING COUNT(*) > 1

Azure Synapse is a cloud-based analytics service that brings together big data and data warehousing.

• Azure Synapse integrates big data and data warehousing capabilities in a single service

• It allows for data ingestion, preparation, management, and serving for BI and machine learning

• Supports both serverless and provisioned resources for data processing

• Offers integration with Azure Machine Learning, Power BI, and Azure Dat