Azure Data Factory Interview Questions
Azure Data Factory Interview Preparation Guide
Azure Data Factory Interview Questions
Sure! In an Azure Data Factory interview, you can expect questions about data integration concepts, ETL processes, data pipelines, data transformation techniques, data movement, data orchestration, monitoring and debugging data flows, scalability and performance optimization, security considerations, and hands-on experience with Azure Data Factory tools and services. Be prepared to discuss your experience with data integration projects, working with various data sources and destinations, troubleshooting common issues, and demonstrating your expertise in designing and implementing data workflows using Azure Data Factory.
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1 - What is Azure Data Factory and how does it differ from SQL Server Integration Services?
Azure Data Factory is a cloud based data integration service that allows you to create, schedule, and manage data pipelines to move and transform data. Unlike SQL Server Integration Services (SSIS), which is an on premises ETL tool, Azure Data Factory is designed for the cloud environment and provides a more scalable and flexible solution for data integration.
2) What are the key components of Azure Data Factory?
Azure Data Factory consists of four key components: Datasets, Linked Services, Pipelines, and Activities. Datasets represent the data structures used in data processing, Linked Services define the connections to external data sources and destinations, Pipelines orchestrate the movement and transformation of data, and Activities are the specific operations within a pipeline, such as copying data or running a stored procedure.
3) How can you monitor and manage Azure Data Factory pipelines?
Azure Data Factory provides monitoring capabilities through Azure Monitor, which allows you to track the performance of your pipelines, monitor trigger runs, and troubleshoot issues. You can also use built in logging and alerts to proactively manage and monitor the health of your data pipelines.
4) What is the difference between Azure Data Factory and Azure Logic Apps?
Azure Data Factory is focused on data integration and ETL processes, while Azure Logic Apps is a workflow automation platform that allows you to automate business processes and integrate systems and services. While both services can be used for data integration, Azure Data Factory is more suited for large scale data movement and transformation tasks, while Azure Logic Apps is better for workflow automation and integration with SaaS applications.
5) How does Azure Data Factory support hybrid data integration scenarios?
Azure Data Factory supports hybrid data integration scenarios by providing connectivity to on premises data sources and destinations through the use of Self hosted Integration Runtimes. These runtimes can be installed on your on premises infrastructure to securely connect to data sources behind corporate firewalls and transfer data to and from the cloud.
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