Azure Data Factory Overview:
Why do we need Azure Data Factory?
What is Azure Data Factory?
What is Integration Runtime?
What is the limit on the number of integration runtimes?
What are the top-level concepts of Azure Data Factory?
Azure Data Lake and Blob Storage:
What is the difference between Azure Data Lake and Azure Data Warehouse?
What is blob storage in Azure?
What is the difference between Azure Data Lake Store and Blob storage?
ETL Process in Azure Data Factory:
- What are the steps for creating an ETL process in Azure Data Factory?
HDInsight and Azure Data Lake Analytics:
- What is the difference between HDInsight and Azure Data Lake Analytics?
Pipeline Scheduling and Parameters:
How can I schedule a pipeline?
Can I pass parameters to a pipeline run?
Can I define default values for the pipeline parameters?
Can an activity in a pipeline consume arguments that are passed to a pipeline run?
Can an activity’s output properly be consumed in another activity?
Handling Data in Activities:
16. How do I handle null values in an activity output?
Data Flows in Azure Data Factory:
17. Which Data Factory version do I use to create data flows?
- What has changed from private preview to limited public preview regarding data flows?
Dataset Types and Security:
19. How do I access data using the other 80 dataset types in the Data Factory
- Explain the two levels of security in ADLS Gen2.
Azure Data Factory Components:
21. What are the different components used in Azure Data Factory?
Dataset and Linked Service:
22. What is the key difference between the Dataset and Linked Service in Azure Data Factory?
Triggers and SDKs:
23. How many types of triggers are supported by Azure Data Factory?
24. What are the different rich cross-platform SDKs for advanced users in Azure Data Factory?
Data Storage Comparison:
25. Difference between Data Lake Storage and Blob Storage.
Azure Data Factory Execution and CI/CD:
26. Is the knowledge of coding required for Azure Data Factory?
What changes can we see regarding data flows from private preview to limited public preview?
How can we schedule a pipeline?
Can we pass parameters to a pipeline run?
Can an activity output property be consumed in another activity?
How do I gracefully handle null values in an activity output?
How do I access the data using the other 80 Dataset types in the Data Factory?
What has changed from private preview to limited public preview regarding data flows?
What is the difference between the Dataset and Linked Service in Data Factory?
What is the difference between the mapping data flow and the wrangling data flow transformation?
Integration Runtimes:
36. The Data Factory supports two types of compute environments to execute the transform activities. Mention them briefly.
What is Azure SSIS Integration Runtime?
What is required to execute an SSIS package in a Data Factory?
An Azure Data Factory Pipeline can be executed using three methods. Mention these methods.
If we need to copy data from an on-premises SQL Server instance using a data factory, which integration runtime should be used?
Azu re Services Integration: 41. What is Azure Table Storage?
Can we monitor and manage Azure Data Factory Pipelines?
What are the steps involved in the ETL process?
ETL vs. ELT, Purpose of ADF:
44. Is Azure Data Factory ETL or ELT a tool?
Why is ADF needed?
What sets Azure Data Factory apart from conventional ETL tools?
What are the major components of a Data Factory?
What are the different ways to execute pipelines in Azure Data Factory?
What is the purpose of Linked services in Azure Data Factory?
Data Factory Integration Runtime:
50. Can you Elaborate more on Data Factory Integration Runtime?
51. What is the limit on the number of Integration Runtimes, if any?
ARM Templates and Deployment:
52. What are ARM Templates in Azure Data Factory? What are they used for?
53. How can we deploy code to higher environments in the Data Factory?
Activities in Azure Data Factory:
54. Which three activities can you run in Microsoft Azure Data Factory?
55. What are the two types of computing environments supported by Data Factory to execute the transform activities?
ETL Process Steps:
56. What are the steps involved in an ETL process?
Lookup and Metadata Activities:
57. If you want to use the output by executing a query, which activity shall you use
Have you used the Execute Notebook activity in the Data Factory?
How to pass parameters to a notebook activity?
What are some useful constructs available in Data Factory?
Can we push code and have CI/CD (Continuous Integration and Continuous Delivery) in ADF?
Variables in Azure Data Factory:
62. What do you mean by variables in the Azure Data Factory?
Mapping Data Flows and Copy Activity:
63. What are mapping data flows?
64. What is copy activity in the Azure Data Factory?
65. Can you elaborate more on the Copy activity?
Choosing Azure Data Factory:
66. When should you choose Azure Data Factory?
Accessing Data in Different Dataset Types:
67. How can you access data using the other 90 dataset types in the Data Factory?
68. Can a value be calculated for a new column from the existing column from mapping in ADF?
69. How is the lookup activity useful in the Azure Data Factory?
70. Elaborate more on the Get Metadata activity in Azure Data Factory.
Debugging and Monitoring:
71. How to debug an ADF pipeline?
72. What does it mean by the breakpoint in the ADF pipeline?
73. What is the use of the ADF Service?
74. Explain the data source in the Azure data factory.
75. Can you share any difficulties you faced while getting data from on-premises to Azure cloud using Data Factory?
76. How to copy multiple sheet data from an Excel file?
77. Is it possible to have nested looping in Azure Data Factory?
78. How to copy multiple tables from one datastore to another datastore?
79. What are some performance-tuning techniques for Mapping Data Flow activity?
80. What are some of the limitations of ADF?
81. How are all the components of Azure Data Factory combined to complete an ADF task?
82. How do you send email notifications on pipeline failure?
83. Can we integrate Data Factory with Machine learning data?
84. What is an Azure SQL database? Can you integrate it with Data Factory?
85. Can you host SQL Server instances on Azure?
86. What is Azure Data Lake Analytics?
How would you set up a pipeline that extracts data from a REST API and loads it into an Azure SQL Database while managing authentication, rate limiting, and potential errors or timeouts during the data retrieval?
Imagine merging data from multiple sources into a single table in an Azure SQL Database. How would you design a pipeline in Azure Data Factory to efficiently combine the data and ensure it is correctly matched and deduplicated?
Imagine you must import data from many files stored in Azure Blob Storage into an Azure Synapse Analytics data warehouse. How would you design a pipeline in Azure Data Factory to efficiently process the files in parallel and minimize processing time?
Suppose you work as a data engineer in a company that plans to migrate from on-premises infrastructure to Microsoft Azure cloud. As part of this migration, you intend to use Azure Data Factory (ADF) to copy data from a table in the on-premises Azure cloud. What actions should you take to ensure the successful execution of this pipeline?
Imagine you need to process streaming data in real time and store the results in an Azure Cosmos DB database. How would you design a pipeline in Azure Data Factory to efficiently handle the continuous data stream and ensure it is correctly stored and indexed in the destination database?
How can one combine or merge several rows into one row in ADF? Can you explain the process?
How do you copy data as per file size in ADF?
How can you insert folder name and file count from blob into the SQL table?
Why do we require Azure Data Factory?
Can you explain how ADF integrates with other Azure services, such as Azure Data Lake storage, Azure Blob Storage, and Azure SQL Database?
What are the various types of loops in ADF?
Can you list all the activities that can be performed in ADF?
What is the difference between Azure Data Warehouse and Azure Data Lake?
What are the components of Azure Data Factory? Explain in brief.
What, if any, is the limit on the integration runtimes that you can perform?
What is Azure Data Factory Integration Runtime?
What is blob storage in Microsoft Azure?
What are the steps involved in creating the ETL process in Data Factory?
How many types of triggers does Data Factory support?
How can you make Azure Functions?
List the steps through which you can access data using the 80 types of datasets in Azure Data Factory.
What are the requirements you should meet to execute an ADF SSIS package?
What is a dataset in Azure Data Factory?
What is the objective of Microsoft Azure’s Data Factory service?
In Microsoft Azure Data Factory, what is the difference between Mapping and Wrangling data flows?
What do you know about Microsoft Azure Databricks?
What SQL Data Warehouse?
Why is Azure Data Factory necessary?
What are the three types of integration runtime?
Differentiate between blob storage and data lake storage.
State the differences between Azure Data Lake Analytics and HDInsight.
Is it possible to define default values for pipeline parameters?
In which Azure Data Factory version are data flows created?
Do you need to know how to code for ADF?
Specify the two levels of security in Azure Data Lake Storage Gen2.
What type of compute environments does Azure Data Factory support?
In the pipeline, can I set default values for the parameters?
What is the anticipated length of time needed for the integration?
How many times may an integration be run through its iterations?
Where can I obtain additional information on the blob storage offered by Azure?
Is there a cap on the number of cycles that can be invested in the integration process?
How does the Data Factory's integration runtime function?
What are the three different types of triggers that are available for use with Azure Data Factory?
Where can I locate the step-by-step instructions for creating Azure Functions?
How do I access data by using the other 80 dataset types in the Data Factory?
What prerequisites does Data Factory SSIS execution require?
What are "Datasets" in the ADF framework?
What is the purpose of ADF Service?
State the difference between the transformation procedures known as Mapping data flow and Wrangling data flow when it comes to Data Factory.
What is Azure Databricks?
What is Azure Data Lake?
Determine the data sources utilized by the Azure Data Factory
What are some of the advantages of carrying out a lookup in the Azure Data Factory?
What sorts of variables are supported by Azure Data Factory and how many different kinds are there?
What is the connected service offered by the Azure Data Factory, and how does it operate?
What is meant to be referred to when people use the phrase "breakpoint" in conjunction with the ADF pipeline?
Please provide a more in-depth explanation of what Data Factory Integration Runtime entails
What are the prerequisites that need to be met before an SSIS package can be executed in the Data Factory?
What is meant by the term "ARM Templates" when referring to Azure Data Factory? Where do we plan to use them?
How about discussing the three most important tasks that you can complete with Microsoft Azure Data Factory?
How well does Data Factory support the Hadoop and Spark computing environments when it comes to carrying out transform operations?
How many individual steps are there in an ETL procedure?
Which components of Data Factory's building blocks are considered to be the most useful ones?
Do you have any prior experience with the Execute Notebook activity in Data Factory? Does anybody have any idea how to configure the settings for a laptop task?
Is it possible to use ADF to implement CI/CD, which stands for continuous integration and delivery?
In the context of Azure Data Factory, what does the term "variables" mean?
In the context of the Azure Data Factory, what does it mean when it's referred to as "copy activity"?
Could you explain to me how I should go about planning a pipeline?
In which situations does Azure Data Factory seem the best option?
Do you have any tips on how to access the information you require by taking advantage of the other ninety dataset types that are accessible in the Data Factory?
Can the value of a new column in an ADF table be determined by using an existing mapping column?
Where can I find more information on the benefits of using lookup operations in the Azure Data Factory?
Please provide any more information that you have on the Azure Data Factory Get Metadata operation.
Where did you experience the most difficulty while attempting to migrate data from on-premises to the Azure cloud via Data Factory?
Do I have the ability to copy information simultaneously from many Excel sheets?
Nesting of loops within loops in Azure Data Factory: yes or no?
What are the different activities you have used in Azure Data Factory?
Are there any particular limitations placed on ADF members?
These questions cover a wide range of topics related to Azure Data Factory and can be helpful for both beginners and those looking to deepen their understanding of the platform.