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learn-pr/wwl-data-ai/get-tips-tricks-for-teaching-dp-100-designing-implementing-data-science-solution/16-knowledge-check.yml

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quiz:
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title: "Check your knowledge"
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questions:
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- content: "How often should you download content from the [Learning Download Center](https://aka.ms/ldc) (LDC) to ensure you have the most up to date course materials?"
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- content: "How often should you download content from the [Learning Download Center](https://techcommunity.microsoft.com/blog/mctnews/current-courseware-downloading-process/4196123) (LDC) to ensure you have the most up to date course materials?"
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choices:
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- content: "Every three years"
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isCorrect: false
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> [!VIDEO https://www.microsoft.com/videoplayer/embed/RW14QwX]
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> [!VIDEO https://learn-video.azurefd.net/vod/player?id=d953ed77-fcf0-498a-9fa7-8edc8c52089e]
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Virtual Educator Prep Sessions (VEPS) are part of the Microsoft Learn for Educators (MSLE) program, and they're a critical piece of preparing to teach Microsoft technical skills as a part of our program. MSLE is anchored in the belief that higher education institutions and faculty members play a pivotal role in empowering students for future success. We at Microsoft are committed to supporting students, faculty members, and higher education institutions with free curriculum training and tools for teaching technical skills.
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In this learning path, you'll learn tips and tricks from Microsoft technical trainers about preparing for your first teaching session, which labs to use, and how to introduce technical topics. You'll also discover other resources and materials that may help your students succeed on their Microsoft Certification exams.
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In this learning path, you'll learn tips and tricks from Microsoft technical trainers about preparing for your first teaching session, which labs to use, and how to introduce technical topics. You'll also discover other resources and materials that may help your students succeed on their Microsoft Certification exams.
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learn-pr/wwl-data-ai/get-tips-tricks-for-teaching-dp-100-designing-implementing-data-science-solution/includes/10-explore-best-practices-dp-100-learning-path-7.md

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Learning Path 7 Labs
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- [Lab 7.1: Run a training script as a command job in Azure Machine Learning](https://microsoftlearning.github.io/mslearn-azure-ml/Instructions/08-Script-command-job.html)
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- [Lab 7.2: Use MLflow to track training jobs](https://microsoftlearning.github.io/mslearn-azure-ml/Instructions/08-Script-mlflow-tracking.html)
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- [Lab 7.2: Use MLflow to track training jobs](https://microsoftlearning.github.io/mslearn-azure-ml/Instructions/08-Script-mlflow-tracking.html)

learn-pr/wwl-data-ai/get-tips-tricks-for-teaching-dp-100-designing-implementing-data-science-solution/includes/11-explore-best-practices-dp-100-learning-path-8.md

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- Understand hyper parameters
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- Configure various hyper parameter tuning options on AML
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> [!VIDEO https://www.microsoft.com/videoplayer/embed/RW14NOV]
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> [!VIDEO https://learn-video.azurefd.net/vod/player?id=127cb419-e351-4f8b-a88f-f5b3af1dc5fa]
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Learning Path 8 Tips and Tricks
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- Lab 8.1: [Perform hyperparameter tuning with a sweep job](https://microsoftlearning.github.io/mslearn-azure-ml/Instructions/09-Hyperparameter-tuning.html)
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- [Lab 8.2: Run pipelines in Azure Machine Learning](https://microsoftlearning.github.io/mslearn-azure-ml/Instructions/09-Run-pipelines.html)
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learn-pr/wwl-data-ai/get-tips-tricks-for-teaching-dp-100-designing-implementing-data-science-solution/includes/12-explore-best-practices-dp-100-learning-path-9.md

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Learning Path 9 Labs
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- [Lab 9.1: Log and register models with MLflow](https://microsoftlearning.github.io/mslearn-azure-ml/Instructions/10-Log-mlflow-models.html)
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- [Lab 9.2: Compare and evaluate models](https://microsoftlearning.github.io/mslearn-azure-ml/Instructions/10-Compare-models.html)
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- [Lab 9.2: Compare and evaluate models](https://microsoftlearning.github.io/mslearn-azure-ml/Instructions/10-Compare-models.html)

learn-pr/wwl-data-ai/get-tips-tricks-for-teaching-dp-100-designing-implementing-data-science-solution/includes/13-explore-best-practices-dp-100-learning-path-10.md

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- [Lab 10.1: Log and register models with MLflow](https://microsoftlearning.github.io/mslearn-azure-ml/Instructions/10-Log-mlflow-models.html)
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- [Lab 10.2: Deploy a model to a batch endpoint](https://microsoftlearning.github.io/mslearn-azure-ml/Instructions/11-Deploy-batch-endpoint.html)
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learn-pr/wwl-data-ai/get-tips-tricks-for-teaching-dp-100-designing-implementing-data-science-solution/includes/14-explore-best-practices-dp-100-learning-path-11.md

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- Lab 11.1: [Deploy a model to a managed online endpoint](https://microsoftlearning.github.io/mslearn-azure-ml/Instructions/11-Deploy-online-endpoint.html)
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- Lab 11.2: Case study: design an MLOps solution (optional)
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Microsoft Learn for Educators believes in higher education and you as an instructor play a pivotal role in empowering students for future success. Your journey in teaching official Microsoft curriculum to your students will help ensure your students are prepared for the DP-100: Designing and Implementing a Data Science Solution on Azure certification exam. We have provided you with a number of learning resources that not only prepare you as an instructor but also give your students the confidence they need to tackle the exam. Now that you have all the necessary tools, you're ready to go.
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Microsoft Learn for Educators believes in higher education and you as an instructor play a pivotal role in empowering students for future success. Your journey in teaching official Microsoft curriculum to your students will help ensure your students are prepared for the DP-100: Designing and Implementing a Data Science Solution on Azure certification exam. We have provided you with a number of learning resources that not only prepare you as an instructor but also give your students the confidence they need to tackle the exam. Now that you have all the necessary tools, you're ready to go.
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Choose the best response for each of the questions below.
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Choose the best response for each question.

learn-pr/wwl-data-ai/get-tips-tricks-for-teaching-dp-100-designing-implementing-data-science-solution/includes/17-summary.md

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Supplemental Resources:
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- [Microsoft Learn for Educators](https://aka.ms/msle)
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- [Learning Download Center](https://aka.ms/ldc)
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- [Learning Download Center](https://techcommunity.microsoft.com/blog/mctnews/current-courseware-downloading-process/4196123)
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- [Learn Events](https://aka.ms/LearnTV)
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- [Microsoft Technical Documentation](https://aka.ms/docs)
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- [Microsoft Whiteboard](https://aka.ms/whiteboard)
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- [DP-100 study guide](https://aka.ms/DP100-StudyGuide)
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- [Exam DP-100: Designing and Implementing a Data Science Solution on Azure](https://aka.ms/DP100exam)
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