{"id":172746,"date":"2023-11-02T09:18:46","date_gmt":"2023-11-02T08:18:46","guid":{"rendered":"https:\/\/liora.io\/en\/?p=172746"},"modified":"2026-02-06T08:51:35","modified_gmt":"2026-02-06T07:51:35","slug":"mastering-the-dp-100-exam-your-path-to-success","status":"publish","type":"post","link":"https:\/\/liora.io\/en\/mastering-the-dp-100-exam-your-path-to-success","title":{"rendered":"Mastering the DP-100 Exam: Your Path to Success"},"content":{"rendered":"<p><strong>The DP-100 certificate is a title given to experts excelling in Data Science and Machine Learning (ML). This means they can train and deploy solutions on Azure (Designing and Implementing a Data Science Solution on Azure), and among other things, run Machine Learning workloads on Azure with Azure ML Service. This involves knowing how to plan and generate a relevant work parameter for Data Science workloads on Azure.<\/strong><\/p>\t\t\n\t\t\t<h3>Prerequisites for DP-100 Exam<\/h3>\t\t\n\t\t<p>Before taking the DP-100 exam, each candidate needs to know a few things:<\/p><ol><li>Fundamentals of <a href=\"https:\/\/liora.io\/en\/microsoft-azure-empower-yourself-with-knowledge\">Azure services<\/a><\/li><li>Experience in the Python language for working with data, using libraries such as Numpy, Pandas and <a href=\"https:\/\/liora.io\/en\/matplotlib-master-data-visualization-in-python\">Matplotlib.<\/a><\/li><li>Understanding of Data Science to prepare data and train machine learning models using popular ML libraries such as Scikit-Learn, <a href=\"https:\/\/liora.io\/en\/pytorch-all-about-this-framework\">PyTorch<\/a> or Tensorflow.<\/li><\/ol>\t\t\n\t\t\t<h3>DP-100 Exam topics<\/h3>\t\t\n\t\t<p>The following areas are the main subjects on which the knowledge required to acquire the Microsoft DP-100 certificate is measured.<\/p>\t\t\n\t\t\t<h4>1. Setting up an Azure Machine Learning workspace<\/h4>\t\t\n\t\t<ul><li style=\"font-weight: 400;\" aria-level=\"1\">Create an Azure Machine Learning workspace (create an Azure Machine Learning workspace in Azure ML Studio).<\/li><li style=\"font-weight: 400;\" aria-level=\"1\">Create and manage databases and <a href=\"https:\/\/liora.io\/en\/datasets-top-5-places-to-find-quality-datasets\">datasets (registering databases and creating datasets).<\/a><\/li><li style=\"font-weight: 400;\" aria-level=\"1\">Create computational targets for deploying ML workloads and for experimentation.<\/li><\/ul>\t\t\n\t\t\t<h4>2. Running experiments and training models<\/h4>\t\t\n\t\t<ul><li style=\"font-weight: 400;\" aria-level=\"1\">Create ML models using the Azure ML Designer (automate a Microsoft Certified Azure Data Scientist Associate pipeline using a designer).<\/li><li style=\"font-weight: 400;\" aria-level=\"1\">Run training scripts in an Azure ML workspace (create and run an experiment using the Azure ML SDK, use data from a dataset, configure script execution parameters, etc.).<\/li><li style=\"font-weight: 400;\" aria-level=\"1\">Generate metrics, retrieve experiment results and troubleshoot experiment execution (this involves covering log metrics generated from an experiment execution and displaying experiment output).<\/li><\/ul>\t\t\n\t\t\t\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex is-content-justification-center\"><div class=\"wp-block-button \"><a class=\"wp-block-button__link wp-element-button \" href=\"https:\/\/liora.io\/formation-microsoft-azure\">D\u00e9couvrir notre formation Azure<\/a><\/div><\/div>\n\n\t\t\t<h4>3. Optimization and model management<\/h4>\t\t\n\t\t<ul><li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/liora.io\/en\/data-poisoning-a-threat-to-machine-learning-models\">Create an ML model<\/a> using Azure ML Studio&#8217;s automated Machine Learning and the Azure ML SDK.<\/li><li style=\"font-weight: 400;\" aria-level=\"1\">Set hyperparameters using hyperdrive (define hyperparameter values for the model, select sampling methods, etc.).<\/li><li style=\"font-weight: 400;\" aria-level=\"1\">Interpret each model and generate data by importance of its characteristics (selection of a model and data interpreter).<br>Record and monitor the model to avoid data drift (record the trained model and monitor for data drift).<\/li><\/ul>\t\t\n\t\t\t<h4>4. Deploying and using ML models<\/h4>\t\t\n\t\t<ul><li style=\"font-weight: 400;\" aria-level=\"1\">Create compute targets for production (focus on security for deployed services and evaluation of compute options).<br>Deploy the ML model as a service (configure deployment parameters, use deployed services, etc.).<\/li><li style=\"font-weight: 400;\" aria-level=\"1\">Create and run a batch inference pipeline (create a batch inference pipeline and obtain outputs.<\/li><li style=\"font-weight: 400;\" aria-level=\"1\">Deploy a designer pipeline as a Web service (create a compute target resource and use the deployed endpoint).<\/li><\/ul>","protected":false},"excerpt":{"rendered":"<p>The DP-100 certificate is a title given to experts excelling in Data Science and Machine Learning (ML). This means they can train and deploy solutions on Azure (Designing and Implementing a Data Science Solution on Azure), and among other things, run Machine Learning workloads on Azure with Azure ML Service. This involves knowing how to [&hellip;]<\/p>\n","protected":false},"author":76,"featured_media":172748,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"_acf_changed":false,"editor_notices":[],"footnotes":""},"categories":[2433],"class_list":["post-172746","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-ai"],"acf":[],"_links":{"self":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/172746","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/users\/76"}],"replies":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/comments?post=172746"}],"version-history":[{"count":1,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/172746\/revisions"}],"predecessor-version":[{"id":206284,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/172746\/revisions\/206284"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media\/172748"}],"wp:attachment":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media?parent=172746"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/categories?post=172746"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}