In this article, we will see the list of questions asked in Accenture Company Interview for Azure Data Engineers.

Let’s see the Questions:

Q1: Which Integration Runtime (IR) should be used for transferring data from an on-premises database to Azure?

Q2: What are the differences between a Scheduled Trigger and a Tumbling Window Trigger in Azure Data Factory? When is each one appropriate to use?

Q3: What is Azure Data Factory (ADF), and how does it support ETL and ELT processes in a cloud-based environment?

Q4: What is Azure Data Lake, and what role does it play in a data architecture? How is it different from Azure Blob Storage?

Q5: What is an index in a database table? Discuss the various types of indexes and their effects on query performance.

Q6: Given two datasets, explain how the number of records will differ for each type of join (Inner Join, Left Join, Right Join, Full Outer Join).

Q7: What are Control Flow activities in Azure Data Factory? How do they differ from Data Flow activities, and what are their typical use cases?

Q8: Discuss key data modeling concepts, including normalization and denormalization. How do security considerations affect the choice of Synapse table types in a specific scenario? Provide an example of an ADF pipeline based on a scenario.

Q9: What are the different types of Integration Runtimes (IR) in Azure Data Factory? Discuss their purposes and limitations.

Q10: How can sensitive data be masked in Azure SQL Database? What are the various data masking techniques available?

Q11: What is Azure Integration Runtime (IR), and how does it facilitate data movement across different networks?

Q12: Explain Slowly Changing Dimension (SCD) Type 1 in a data warehouse. How does it compare to SCD Type 2?

Q13: How are window functions used in SQL, such as for rolling sum and lag/lead calculations? How do window functions differ from traditional aggregate functions?

Q14: What are Linked Services in Azure Data Factory, and how do they enable connectivity to various data sources?

Q15: Describe the architecture and main components of Azure Data Factory. How do these components work together to orchestrate data workflows?

I hope these questions assist anyone preparing for their interviews.

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