Azure Data Factory (ADF) is a cloud-based ETL and data integration service that allows you to create data-driven workloads for orchestrating the data movement and transforming data at scale. The capabilities of ADF include the data transformation with intelligent intent-driven mapping that automates the copy activities and allows you to prepare and construct the ETL process pipeline code-free.
Candidates aiming to achieve the Azure Data Engineer exam should understand the monitoring process with Azure Data Factory resources.
This hands-on lab challenge will test your practical ability to build a solution in a production-like Azure environment. You will be presented with a task and a set of requirements that you must fulfill to pass the challenge.
This is a real environment, which means you can prove your knowledge in an applied way, substituting multiple choice questions for a dynamic performance-based exam situation.
- Monitor Azure Data Factory using Azure Monitor (Lab)
- Using Azure Data Factory Pipelines to Copy Data (Lab)
- Azure Data Factory Pipeline Challenge (Challenge)
- Azure Data Factory Course
- Candidate for Azure Data Engineers Exam
- Cloud Architects
- Software Engineers
- DevOps Engineers
- Azure Data Factory
- Azure Monitor
- Azure Log Analytics
Parveen is an Azure advocate with previous experience in the professional consulting services industries. He specializes in infrastructure and DevOps with a wide range of knowledge in security and access management. He is also an Azure Certified - DevOps Engineer Expert, Security Engineer, Developer Associate, Administrator Associate, CompTIA Certified - Network+, Security+, and AWS Cloud Practitioner.
Parveen enjoys writing about cloud technologies and sharing the knowledge with the community to help students upskill in the cloud.