Azure Data Engineer Interview Questions and Answers for Freshers

Designing an effective ADF pipeline involves considering various metrics and factors.

• Understand the data sources and destinations

• Identify the dependencies between activities

• Optimize data movement and processing for performance

• Monitor and track pipeline execution for troubleshooting

• Consider security and compliance requirements

• Use parameterization and dynamic content for flexibility

• Implement error handling and retries for robustness

The output after inner join of table 1 and table 2 will be 2,3,5.

• Inner join only includes rows that have matching values in both tables.

• Values 2, 3, and 5 are present in both tables, so they will be included in the output.

• Null values are not considered as matching values in inner join.

We should use the Self-hosted Integration Runtime (IR) to copy data from on-premise db to Azure.

• Self-hosted IR allows data movement between on-premise and Azure

• It is installed on a local machine or virtual machine in the on-premise network

• Self-hosted IR securely connects to the on-premise data source and transfers data to Azure

• It supports various data sources like SQL Server, Oracle, MySQL, etc.

• Self-hosted IR can be managed and monitored through Azure Data Factory

Scheduled trigger is time-based while tumbling window trigger is data-based.

• Scheduled trigger is based on a specific time or interval, such as every hour or every day.

• Tumbling window trigger is based on the arrival of new data or a specific event.

• Scheduled trigger is useful for regular data processing tasks, like ETL jobs.

• Tumbling window trigger is useful for aggregating data over fixed time intervals.

• Scheduled trigger can be set to run at a specific time, while tumbling wind...read more

IR stands for Integration Runtime. There are two types of IR: Self-hosted and Azure-SSIS.

• Self-hosted IR is used to connect to on-premises data sources.

• Azure-SSIS IR is used to run SSIS packages in Azure Data Factory.

• Self-hosted IR requires an on-premises machine to be installed and configured.

• Azure-SSIS IR is a fully managed service provided by Azure.

• Both types of IR enable data movement and transformation in Azure Data Factory.

Linked services in ADF are connections to external data sources or destinations that allow data movement and transformation.

• Linked services are used to connect to various data sources such as databases, file systems, and cloud services.

• They provide the necessary information and credentials to establish a connection.

• Linked services enable data movement activities like copying data from one source to another or transforming data during the movement process.

• Examples of linked se...read more

Tumbling window trigger is a type of trigger in Azure Data Factory that defines a fixed-size window of time for data processing.

• Tumbling window trigger divides data into fixed-size time intervals for processing

• It is useful for scenarios where data needs to be processed in regular intervals

• Example: Triggering a pipeline every hour to process data for the past hour

Types of triggers include DDL triggers, DML triggers, and logon triggers.

• DDL triggers are fired in response to DDL events like CREATE, ALTER, DROP

• DML triggers are fired in response to DML events like INSERT, UPDATE, DELETE

• Logon triggers are fired in response to logon events