In this Azure Data Factory interview questions, you will learn data factory to clear your job interview. So in this Azure Data factory interview questions, you will find questions related to steps for ETL process, integration Runtime, Datalake storage, Blob storage, Data Warehouse, Azure Data Lake analytics, top-level concepts of Azure Data Factory, levels of security in Azure Data Lake and more. Learn Azure Data Factory in Intellipaat Azure Data Factory training and excel in your career.
Cloud-based integration service that allows creating data-driven workflows in the cloud for orchestrating and automating data movement and data transformation.
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There is no hard limit on the number of integration runtime instances you can have in a data factory. There is, however, a limit on the number of VM cores that the integration runtime can use per subscription for SSIS package execution.
Data Warehouse is a traditional way of storing data which is still used widely. Data Lake is complementary to Data Warehouse i.e if you have your data at a data lake that can be stored in data warehouse as well but there are certain rules that need to be followed.
Azure Blob Storage is a service for storing large amounts of unstructured object data, such as text or binary data. You can use Blob Storage to expose data publicly to the world or to store application data privately. Common uses of Blob Storage include:
While we are trying to extract some data from Azure SQL server database, if something has to be processed, then it will be processed and is stored in the Data Lake Store.
Steps for Creating ETL
This individual process is an activity.
For example: Consider SQL server, you need a connection string that you can connect to an external device. you need to mention the source and the destination of your data.
You can define default values for the parameters in the pipelines.
Each activity within the pipeline can consume the parameter value that’s passed to the pipeline and run with the @parameter construct.
An activity output can be consumed in a subsequent activity with the @activity construct.
You can use the @coalesce construct in the expressions to handle the null values gracefully.
Use the Data Factory V2 version to create data flows.
The two levels of security applicable to ADLS Gen2 were also in effect for ADLS Gen1. Even though this is not new, it is worth calling out the two levels of security because it’s a very fundamental piece to getting started with the data lake and it is confusing for many people just getting started.
POSIX does not operate on a security inheritance model, which means that access ACLs are specified for every object. The concept of default ACLs is critical for new files within a directory to obtain the correct security settings, but it should not be thought of as inheritance. Because of the overhead assigning ACLs to every object, and because there is a limit of 32 ACLs for every object, it is extremely important to manage data-level security in ADLS Gen1 or Gen2 via Azure Active Directory groups.
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