Skip to main content

Azure Site Recovery now supports Azure Policy in public

 Azure service updates > Azure Site Recovery now supports Azure Policy in public preview

https://azure.microsoft.com/en-us/updates/asr-policy-preview/

Leverage Azure Policy to enable Azure Site Recovery for your VMs at scale and ensure organizational standards.

 Graphical user interface, applicationDescription automatically generated

 I hope this has been informative and thank you for reading!

Labels:

Comments

Post a Comment

Popular posts from this blog

Microsoft Azure AI Solution - AI-100

  I have curated a list of articles from Microsoft documentation for each objective of the AI-100 exam AI-100 Azure AI Solution Online Course Pluralsight (Learning Path) Microsoft Azure AI Engineer Certification [Free Trial] LinkedIn Learning [Free Trial] Learning Microsoft Cognitive Services for Developers Whizlabs Microsoft Azure Exam AI-100 Certification Udemy ML and AI using Microsoft Cognitive Services AI-100 Azure AI Practice Test and Lab Udemy Practice Test                Designing and Implementing an Azure AI Exam AI-100 GitHub Labs Labs resources on GitHub AI-100 Azure AI Related Study Materials Coursera                                    Deep Learning Specialization by Andrew Ng Amazon e-book (PDF) Learning Microsoft Cognitive Services To view other Azure Certificate Study Guides, click here  I hope this has been inf...
Post a Comment
Read more

Machine Learning in Azure

Machine learning is a method of data analysis that automates analytical model building. It's a branch of Artificial Intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human interaction. This series of articles intend to elaborate the usage of Azure Machine learning and usage of different machine learning tools in Azure ML studio. This is the first post and it walks you through the introduction to the Azure ML studio and how to upload data to the tool. Two most widely adopted machine learning methods are,  Supervised learning: algorithms are trained using labeled examples, such as    an input where the desired output is known Unsupervised learning: is used against data that has no historical labels. The System is not told the "right answer." The algorithm must figure out what is being shown.   Differences between data mining, machine learning and deep learning  Data mining is about to ident...
Post a Comment
Read more