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Adf Data Science Sql Interview Questions

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What sets Azure Data Factory apart from conventional ETL tools?

Azure Data Factory stands out from other ETL tools as it provides: –

i) Enterprise Readiness: Data integration at Cloud Scale for big data analytics!

ii) Enterprise Data Readiness: There are 90+ connectors supported to get your data from any disparate sources to the Azure cloud!

iii) Code-Free Transformation: UI-driven mapping dataflows.

iv) Ability to run Code on Any Azure Compute: Hands-on data transformations

v) Ability to rehost on-prem services on Azure Cloud in 3 Steps: Many SSIS packages run on Azure cloud.

vi) Making DataOps seamless: with Source control, automated deploy & simple templates.

vii) Secure Data Integration: Managed virtual networks protect against data exfiltration, which, in turn, simplifies your networking.

Data Factory contains a series of interconnected systems that provide a complete end-to-end platform for data engineers. The below snippet summarizes the same.

1  How can we deploy code to higher environments in Data Factory?

At a very high level, we can achieve this with the below set of steps:

  • Create a feature branch that will store our code base.
  • Create a pull request to merge the code after we’re sure to the Dev branch.
  • Publish the code from dev to generate ARM templates.
  • This can trigger an automated CI/CD DevOps pipeline to promote code to higher environments like Staging or Production.

    • Beginner SQL Questions for Data Scientists

    Definition-based basic SQL interview questions are commonly asked, and these questions are used by interviewers to quickly gauge your SQL knowledge. Commonly, these questions will lead to more challenging questions.

    For example, you might be asked: “What is the difference between an INNER JOIN and a LEFT JOIN”? If you answer correctly, the interviewer might then provide a scenario and ask if you would use the INNER JOIN or LEFT JOIN to solve.

    Some of the most common basic SQL questions for data scientists include:

    Which assimilation runtime should we employ when using Azure Data Factory to copy data from a local SQL Server instance?

    We should have installed the self-hosted assimilation runtime on the onsite machine where the SQL Server Instance is offered to host in order to copy data from an on-premises SQL Database using Azure Data Factory.

    What Types of SQL Questions Can You Expect?

    Typically, when you are asked to write SQL code, you will be asked to perform a task. Some of the most common tasks you will be asked to demonstrate proficiency with include:

  • Reporting and metrics – These questions are the most common, and ask you to write queries that end up in dashboards. Although the output is clearly defined, these questions typically require complex joins, sub-queries, inner joins and window functions to reach the final product..
  • Analytics case studies – These questions are multi-step problems that test two skills: 1) understanding what metrics you require to answer the question, and 2) writing the correct SQL query to pull the metrics you have identified. Analytics case studies test your problem-solving skills, and are generally left more ambiguous than other types of SQL problems.
  • Database design – These questions test your knowledge of data architecture and design. Most importantly, they test whether you know how to design a database from scratch when you are given a business idea, application, or any other software that needs to interact with a database.
  • ETL questions – These questions test your ability to perform ETL tasks, and translates to extracting data from a database, transforming the data, and loading the data into another database or table. These questions are most common in engineering roles, but data scientists should expect them to appear periodically.
  • Logic-based questions – Logic-based SQL interview questions are very tricky. They are not typically based on real life examples so much as injecting the complexities of algorithms and data structure interviews into SQL questions. This is exemplified on sites such as LeetCode, where you will see quite a few interview questions that are not practical for real world scenarios.

    • Real Data Science SQL Interview Questions and Answers # 1 | Data Science Interview Questions

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