UPM MLOPS Question 1

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What is DevOps?

Back

DevOps is a methodology that promotes collaboration between software developers and IT operations to improve the development and deployment of software.

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What is MLOps?

Back

MLOps (Machine Learning Operations) is a set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently.

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How does DevOps differ from MLOps?

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DevOps focuses on software development and IT operations, while MLOps applies DevOps principles specifically to machine learning model development and deployment.

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What roles are involved in DevOps?

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DevOps involves developers, system administrators, and IT operations teams.

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What roles are involved in MLOps?

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MLOps involves data scientists, data engineers, and machine learning engineers.

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What is the main goal of DevOps?

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The main goal of DevOps is to shorten the software development lifecycle and deliver high-quality software continuously.

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What is the main goal of MLOps?

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The main goal of MLOps is to streamline the process of deploying and maintaining machine learning models in production.

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What does automation mean in the context of DevOps?

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Automation in DevOps refers to the use of tools and processes to automate repetitive tasks in software development and deployment.

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What does collaboration mean in the context of MLOps?

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Collaboration in MLOps refers to the teamwork between data scientists and data engineers to ensure successful model development and deployment.

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What is a key benefit of using DevOps?

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A key benefit of using DevOps is improved efficiency and faster delivery of software products.