Top Azure Data Bricks Interview Questions

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Microsoft Azure is an inherent cloud computing platform. It is an eminent platform used for data analytics and allows the user to integrate seamlessly with open-source libraries. It is one of the most trending fields that offer attractive career opportunities. If you look forward to building a career in the Azure platform, these interview questions will greatly help fetch you the job.

In the Azure Data Bricks interview, you will have to prepare questions about the fundamentals of the cloud server. You should prepare for interview questions about the features of the Data bricks server and its integration with the relevant technologies. Consider the following questions that are commonly asked in the interview. Keeping yourself equipped with this advanced knowledge will elevate your stand as the most wanted candidate for the job.

What are Azure Data bricks?

It is one of the important interview questions that helps the interviewer gauge the understanding of the candidate on the fundamentals. You are expected to render a concise answer and highlight the most important features of Data Bricks.

Azure Data bricks is a robust data analytics platform built on Apache Spark. The platform is simple to use, and one can easily install it on the Azure Server. Due to their integration with related Azure services, data engineers often use Data bricks.

What are the uses of auto-scaling in Data Bricks?

Auto Scaling in Azure Data Bricks runs the program effectively even under high load. This question helps the manager to assess the candidate's knowledge of Azure auto-scaling.

While answering this question, it is important to define the auto-scaling features of Data bricks and mention their important benefits.

Brief on the benefits of Azure Databricks

Azure Data Bricks is a leading cloud-based data management tool that helps to process and manipulate enormous amounts of data and also analyze the data using machine learning models. Though Azure is based on Spark, it supports other programming languages such as R, Python, and SQL. To integrate these languages with Spark, Data Bricks converts these languages on the backend with the help of APIs.

Azure Data Bricks platform is adaptable and simple, making analytics quite easy to use. It also offers an integrated workforce that supports collaboration in a multi-user environment.

What are the different types of clusters in Azure Data Bricks, and what are their functions?

These questions are asked to test the interviewee's theoretical knowledge and ascertain how well they understand the concepts. While answering, it is important to brief on all four major types.

Azure Data Bricks has four different cluster types, namely low and high priority, job, and interactive. The interactive clusters will help explore data and deal with ad hoc queries. The job clusters help execute batch jobs, and we can scale these job clusters to match the different job requirements.

Low-priority clusters are less expensive, and they also offer low performance. They are ideal for testing and development tasks. High-priority clusters are costlier than the other clusters and offer the highest performance on production-level workloads.

How will you manage the Data Bricks code while working with a team?

The Team foundation server and the GIT helps with each management of codes, along with effective collaboration among teams. The manager asks these questions to assess the capacity of the candidate to manage the project effectively and to test their knowledge of coding with Data Bricks. The answer should include the key features of both Git and the TFS and explain the major steps to manage the codes within Data Bricks.

Will you be able to run data bricks on the private cloud infrastructure?

Such questions help the interviewer access the candidate's knowledge about the versatility of Data Bricks. They also test the problem-solving and attention to detail capabilities of the candidate. The answer should mention the cloud server options available and how to run them on the private cloud.

What is meant by mapping data flows?

This technical question allows the interviewer to test the candidate's domain knowledge. The candidate should use this knowledge to show their familiarity in working with the concepts of Data Bricks. The candidate should explain the mapping data flows in their answer and how it helps with an optimal data integration experience.

Final Words

Before applying for the Data bricks role, ensure to equip your knowledge on Azure Data Bricks and develop your skills and competency in data engineering and cloud server management.

Updated on 14-Oct-2022 10:46:55