Azure ML Experimentation
Hi - I have created a Machine Learning Expirementation account on Azure, which I now wish to cancel. When I do so, it tells me that I cannot delete the resource until all nested resources are deleted. I have already deleted the storage account, all that is left is the workspace, which does not have an option to delete. Any Suggestions?Azure REST API - $filter param for time delta throws ProviderError
Hello All, We are facing issues with the Azure API endpoint for fetching security alerts based on given time filter. https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.microsoft.com%2Fen-us%2Frest%2Fapi%2Fsecuritycenter%2Falerts%2Flistbyresourcegroup%23code-try-0&data=02%7C01%7Cannishprashan.stevi%40hcl.com%7Ce89ea1593b4247b8b13f08d70530766b%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C636983578009379205&sdata=JavMX5P2vJPhQ5ERafc4kC5gxELv%2FEjtulWo%2B84xhIQ%3D&reserved=0 and screenshot for the API section, We encountered the following error while hitting the endpoint with the required params and Bearer access token. Error Details: { "error": { "code": "ProviderError", "message": "Resource provider 'Microsoft.Security' failed to return collection response for type 'alerts'." } } Endpoint URL: https://management.azure.com/subscriptions/{subscription-id}/resourceGroups/{ResourceGroup}/providers/Microsoft.Security/alerts?api-version={version}}&$filter=properties.reportedTimeUtc eq '2019-07-06T08:00:51.8801218Z' NOTE: The URL gives response without specifying the time “filter” , but when using filter as one of the params, we get the above mentioned error. The param value used: $filter = properties.reportedTimeUtc eq '2019-07-06T08:00:51.8801218Z' Could anyone help in the resolution of this issue? Let me know for any additional details/clarifications. Thank You.New 400GB and 200GB caches available on Azure Analysis Services
In April we announced the general availability of Azure Analysis Services, which evolved from the proven analytics engine in Microsoft SQL Server Analysis Services. The success of any modern data-driven organization requires that information is available at the fingertips of every business user, not just IT professionals and data scientists, to guide their day-to-day decisions. Self-service BI tools have made huge strides in making data accessible to business users. However, most business users don’t have the expertise or desire to do the heavy lifting that is typically required, including finding the right sources of data, importing the raw data, transforming it into the right shape, and adding business logic and metrics, before they can explore the data to derive insights. With Azure Analysis Services, a BI professional can create a semantic model over the raw data and share it with business users so that all they need to do is connect to the model from any BI tool and immediately explore the data and gain insights. Azure Analysis Services uses a highly optimized in-memory engine to provide responses to user queries at the speed of thought. Today we are introducing two new SKU sizes, the S8 and S9 allowing you to build data models up to 400 GB in size. Read about it on the Azure blog.Backup and restore your Azure Analysis Services models
This month we announced the general availability of Azure Analysis Services, which evolved from the proven analytics engine in Microsoft SQL Server Analysis Services. The success of any modern data-driven organization requires that information is available at the fingertips of every business user, not just IT professionals and data scientists, to guide their day-to-day decisions. Self-service BI tools have made huge strides in making data accessible to business users. However, most business users don’t have the expertise or desire to do the heavy lifting that is typically required, including finding the right sources of data, importing the raw data, transforming it into the right shape, and adding business logic and metrics, before they can explore the data to derive insights. With Azure Analysis Services, a BI professional can create a semantic model over the raw data and share it with business users so that all they need to do is connect to the model from any BI tool and immediately explore the data and gain insights. Azure Analysis Services uses a highly optimized in-memory engine to provide responses to user queries at the speed of thought. One of the features that was added to Azure Analysis Services is the ability to backup your semantic models and all the data within them to a blob storage account. The backups can later be restored to same Azure Analysis Services server or to a different one. This method can also be used to backup models from SQL Server Analysis services and then restore them to Azure Analysis services. Please note that you can only restore models with a 1200 or higher compatibility level and that any active directory users or groups bust be removed from any role membership before restoring. After restoring, you can re-add those users and groups from Azure Active Directory. Read about it on the Azure blog.
From Doubt to Victory: How I Passed Microsoft SC-200
Hey everyone! I wanted to share my journey of how I went from doubting my chances to successfully passing the Microsoft SC-200 exam. At first, the idea of taking the SC-200 seemed overwhelming. With so many topics to cover, especially with the integration of Microsoft security technologies, I wasn’t sure if I could pull it off. But after months of studying and staying consistent, I finally passed! 🎉 Here’s what worked for me: Study Plan: I created a structured study schedule and stuck to it. I broke down each section of the exam objectives and allocated time for each part. Authentic Exam Questions: I used it-examstest for practice exams. Their realistic test format helped me get a good grasp of the exam pattern. Plus, the explanations for the answers were super helpful in understanding the concepts. Practice Exams: I did multiple mock tests. Honestly, they helped me more than I expected! They boosted my confidence, and I could pinpoint areas where I needed to improve. SC-200 Study Materials: I relied on a combination of online courses, books, and video resources. Watching the study videos and taking notes helped me retain the information better. Don’t Cram: I didn’t leave things to the last minute. It took me about 2-3 months of consistent study to get comfortable with the material. I made sure to take breaks and not burn myself out. Passing this exam felt amazing! If you're in the same boat and feeling uncertain, just stick with it! It’s a challenging exam, but with the right tools and preparation, you can do it. Keep pushing forward, and good luck to everyone! 💪 Would be happy to answer any questions if anyone has them!Microsoft Azure Sentinel (Preview) Overview
Microsoft Azure Sentinel Microsoft Azure Sentinel delivers intelligent security analytics and threat intelligence across the enterprise, providing a single solution for alert detection, threat visibility, proactive hunting, and threat response Collect data at cloud scale across all users, devices, applications, and infrastructure, both on-premises and in multiple clouds. Detect previously undetected threats, and minimize false positives using Microsoft’s analytics and unparalleled threat intelligence. Investigate threats with artificial intelligence, and hunt for suspicious activities at scale, tapping into years of cyber security work at Microsoft. Respond to incidents rapidly with built-in orchestration and automation of common tasks. Building your Own Security Dashboards ;-) Read more about Microsoft Azure Sentinel on my BlogAzure IoT Pipelines with Microsoft AzureDevOps Project for CI/CD
Azure IoT Edge – Hub with Azure DevOps Pipeline Configure continuous integration (CI) and continuous delivery (CD) for your IoT Edge application with DevOps Projects. DevOps Projects simplifies the initial configuration of a build and release pipeline in Azure Pipelines. In the following steps you can see how easy it is to build your Continuous integration and continuous deployment to Azure IoT Edge with DevOps Project. Conclusion : When you connect Microsoft Azure IoT Edge – HUB with your Internet of Things Devices and combine it with Microsoft Azure DevOps Team to develop your Azure IoT Pipeline, then you are in fully control of Continuous integration and continuous deployment to Azure IoT Edge. From here you can make your innovations and Intelligent Cloud & Edge with Artificial Intelligence and Machine Learning to your Devices. You will see that this combination will be Awesome for HealthCare, Smart Cities, Smart Buildings, Infrastructure, and the Tech Industry.Whitepaper Achieving Compliant Data Residency and Security with Azure
Introduction Security and compliance–basic elements of the trusted cloud–are top priorities for organizations today. This paper is designed to help customers ensure that their data is handled in a manner that meets their data protection, regulatory, and sovereignty requirements on the global cloud architecture of Microsoft Azure. Transparency and control are also essential to establishing and maintaining trust in cloud technology. Microsoft recognizes that restricted and regulated industries require additional details for their risk management and to ensure compliance at all times. Microsoft provides an industry-leading security and compliance portfolio. Security is built into the Azure platform, beginning with the development process, which is conducted in accordance with the Security Development Lifecycle (SDL), and includes technologies, controls and tools that address data management and governance, Active Directory identity and access controls, network and infrastructure security technologies and tools, threat protection, and encryption to protect data in transit and at rest. Microsoft also provides customers with choices to select and limit the types and locations of data storage on Azure. With the innovation of the security and compliance frameworks, customers in regulated industries can successfully run mission-critical workloads in the cloud and leverage all the advantages of the Microsoft hyperscale cloud. This simple approach can assist customers in meeting the data protection requirements of government regulations or company policies by helping them to: Understand data protection obligations. Understand the services and controls that Azure provides to help its customers meet those obligations. Understand the evidence that customers need to assert compliance. The paper is structured into these three sections, with each diving deeper into the security and technologies that help Microsoft customers to meet data protection requirements. The final section discusses specific requirements to which industries and organizations in selected European markets are subject. Download this Awesome whitepaper, “Achieving compliant data residency and security with Azure.” Learn here more on Compliance, Trust, Security and ResponsibilitiesMicrosoft Azure virtual datacenter HUB-Spoke Model: From a Network Perspective
Microsoft Azure Hub-Spoke Model When you have your Microsoft Azure Architectural Design in place like a HUB-Spoke model this Microsoft documentation can help you with the Security and networking design in Microsoft Azure Cloud services. The Virtual Data Center (VDC) isn’t just the application workloads in the cloud. It’s also the network, security, management, and infrastructure. Examples are DNS and directory services. It usually provides a private connection back to an on-premises network or datacenter. As more and more workloads move to Azure, it’s important to think about the supporting infrastructure and objects that these workloads are placed in. Think carefully about how resources are structured to avoid the proliferation of hundreds of workload islands that must be managed separately with independent data flow, security models, and compliance challenges. Read the complete blogpost with tips about Azure Security and Networking here
