To help you prepare for your upcoming big data job interview, this article will give you an overview of the PySpark interview questions that are most frequently asked as well as the best possible responses. Last Updated: 25 Nov 2022.
Since PySpark’s popularity has skyrocketed in recent years, many companies are utilizing it to their advantage by creating a ton of job opportunities for PySpark specialists. The Businesswire report projects a CAGR of 36 for the global market for big data as a service. 9% from 2019 to 2026, reaching $61. 42 billion by 2026. This demonstrates unequivocally that there will be an increase in demand for Big Data engineers and specialists in the coming years. There are currently more than 32k big data jobs in the US, and that number is anticipated to increase over time.
One of the examples of giants embracing PySpark is Trivago. Trivago has been using PySpark to meet the technical needs of its team members. It has benefited the company in a variety of ways. Thanks to PySpark’s DataFrame API architecture, it is simpler to modify data in tabular format using Python’s expressiveness. The team decided on a combination of PyCharm and Jupyter for interactively running the code during the development phase.
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TOP 50 SQL Interview Questions And Answers
What do you know about DevOps?
Your answer must be simple and straightforward. Start by describing how DevOps is becoming more and more significant in the IT industry. Describe how this method aims to combine the efforts of the development and operations teams to speed up the delivery of software products while minimizing failure rates. Include the value-added practice of DevOps, where development and operations engineers collaborate throughout the lifecycle of a product or service, from the point of design to the point of deployment.
How is DevOps different from agile methodology?
The culture of DevOps enables collaboration between the development and operations teams. As a result, the software is continuously developed, tested, integrated, deployed, and monitored throughout its lifecycle.
Agile is a method of developing software that emphasizes customer feedback and iterative, incremental, small, and quick software releases. It addresses gaps and conflicts between the customer and developers.
DevOps addresses the gaps and conflicts between IT Operations and Developers.
Which are some of the most popular DevOps tools?
The most popular DevOps tools include:
Explain what DevOps is?
It is merely a practice that emphasizes collaboration and communication between software developers and the deployment (operations) team, and it is a recently coined term in the IT industry. It focuses on producing software more quickly and reducing release failure rates.
