Top 30 MLOps Interview Questions with Answers

Here are the top 50 MLOps interview questions with answers: 1. What is MLOps? Ans: MLOps stands for Machine Learning Operations. It is a set of practices that combines machine learning, DevOps, and agile development to automate the machine learning lifecycle from data preparation to model deployment and monitoring. 2. What are the benefits of MLOps? Ans: The benefits of MLOps include: 3. What are the challenges of MLOps? Ans: The challenges of MLOps include: 4. What are the most

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Top 10 IT certifications to boost your career in 2022

As IT is a vast and growing sector, it always demands skillful professionals with some certifications on their related tools or working courses that give a great advantage to both organizations and professionals. A Certification can give you more skills that can boost your resume and career as well that can offer you more lucrative salaries and opportunities. Certifications have always been playing a key role to increase the value of your skills and getting an advantage in getting a

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MLOps: How to become a MLOps Engineer?

What is MLOps? Few years back we use to talk and learn about software development lifecycle(SDLC) and the process it goes from requirement → designing → development → testing → deployment → and then maintenance. We were implementing the waterfall model moved to iterative model then to agile model of software development to DevOps. But, now organisations are trying to integrate AI/ML into their process. This new concept of building ML systems adds/reforms some principles of the SDLC to give

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Grid Dynamics Selected as a 2021 NowTech Vendor for Continuous Automation and Testing Services

Source:-https://www.businesswire.com a global provider of digital transformation consulting and development services, has been selected by Forrester in its “Now Tech: Continuous Automation and Testing Services Providers, Q1 2021″ report. Companies undergoing digital transformation are constantly met with the challenges of delivering business value while achieving higher quality, greater efficiency, and faster turnaround times. The Forrester report discusses the modern approach to application development and delivery and highlights the benefits of continuous automation and testing. According to Forrester, “to achieve quality

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AWS Looks to Meld MLOps and DevOps

Source:-https://devops.com The rate at which machine learning operations (MLOps) and DevOps best practices are converging is poised for rapid acceleration in 2021. At the recent online AWS re:Invent conference, Amazon Web Services (AWS) announced it is adding a bevy of capabilities to Amazon SageMaker, a managed MLOps service, that includes a continuous integration/continuous delivery (CI/CD) service for MLOps it is calling Amazon SageMaker Pipelines. Amazon SageMaker Pipelines enables developers to define a machine learning workflow that encompasses everything from loading

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IBM open-sources Kubeflow Pipelines on Tekton for portable machine learning models

Source:-https://siliconangle.com IBM Corp. said today it’s hoping to provide a standardized solution for developers to create and deploy machine learning models in production and make them portable to any cloud platform. To do so, it said it’s open-sourcing the Kubeflow machine learning platform on Tekton, a continuous integration/continuous development platform developed by Google LLC. It’s popular with developers who use Kubernetes to manage containerized applications, which can run unchanged across many computing environments. IBM said it created Kubeflow Pipelines on

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How GitHub Got MLOps Right

Source:-https://analyticsindiamag.com After productive and informative Day 1, ADasSci’s Deep Learning Developers Conference is live again. Day 2 of DLDC2020 too, had an interesting lineup of speakers along with a full-day workshop on deep learning with Keras. In an hour-long talk, speakers Pulkit Agarwal and Vinod Joshi of Github discussed the various challenges of setting up an ML pipeline. Pulkit, who is part of the product team at Github, began by defining what MLOps is really about and what makes it

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UNDERSTANDING MICROSOFT AZURE’S RESPONSIBLE MACHINE LEARNING MODEL

Source:-analyticsinsight The Microsoft Azure Machine learning with the help of AI opens up the opportunity for interpretability, accountability and fairness. With the advent of COVID 19 outbreak, the aviation sector had to stop its operations, thus having a halt in flight travels. Many airlines felt the burden of this unprecedented situation, however Scandanavian airline (SAS), felt another threat looming over their head. The SAS has a loyalty program EuroBonus, which provides points to the airline’s customers every time they travel.

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HPE Extends Data Fabric Across Multiple Kubernetes Clusters

Source:-containerjournal.com Hewlett Packard Enterprise (HPE) has extended the capabilities of a rechristened container platform to now include support for a data fabric spanning multiple Kubernetes clusters that can be physically located in data centers in different geographies. Now known as the HPE Ezmeral, the data fabric is based on technology it gained from HPE’s acquisition of MapR Technologies last year. The data fabric creates a global namespace that is accessible via application programming interfaces (APIs). Containerized and non-containerized applications can

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BRINGING AI AND MACHINE LEARNING ACCESSIBLE TO ENTERPRISES CREDIT TO CLOUD

Source:-analyticsinsight.net Machine learning has a tremendous offering to the enterprise-but how? Machine learning, a sub-component of artificial intelligence, is not new to the enterprise. But with techniques like deep learning, emulating human brain actions, increasingly gaining traction, businesses are identifying new and potentially transformative deployments of digitally disruptive technologies. According to Algorithmia’s 2020 report, the main use cases for machine learning translate to customer service (i.e. chatbots) and internal cost reduction. But machine learning has applications far and wide. Dynamic

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Continuous Delivery Foundation adds Screwdriver to incubation toolkit

Source:-devclass.com The Continuous Delivery Foundation has recruited its first incubation project since its birth just a year ago, in the shape of container focused build service Screwdriver. Screwdriver was originally spawned at Yahoo as “simplified interfacing” for Jenkins, before it was open sourced in 2016 and “completely rebuilt to handle deployments at scale along with CI/CD goals.” According to the CDF, the project “ties directly into DevOps teams’ daily habits. It tests pull requests, builds merged commits, and deploys to

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From DevOps to MLOps: The evolution of DevOps

Source:-itproportal.com Luca Ravazzolo explains how the evolution of DevOps is likely to continue, with potential far beyond its current form. The introduction of DevOps has had a profound effect on developers and the IT industry, completely changing mindsets with concepts like continuous integration and continuous delivery now much more commonplace. Over the last few years, DevOps has matured, becoming more mainstream and widely adopted, and this has led to a gradual evolution of the approach. During this time, DevOps has

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