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Unified data governance

Microsoft Purview has robust, unified data governance solutions that help manage your on-premises, multicloud, and software as a service data. Microsoft Purview’s robust data governance capabilities enable you to manage your data stored in Azure, SQL and Hive databases, locally, and even in other clouds like Amazon S3.

Microsoft Purview’s unified data governance helps your organization:

Create an up-to-date map of your entire data estate that includes data classification and end-to-end lineage.

Identify where sensitive data is stored in your estate.

Create a secure environment for data consumers to find valuable data.

Generate insights about how your data is stored and used.

Manage access to the data in your estate securely and at scale.

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AI speech scenarios

Common uses of AI speech technologies include:

Personal AI assistants in phones, computers, or household devices with which you interact by talking.

Automated transcription of calls or meetings.

Automating audio descriptions of video or text.

Automated speech translation between languages.

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Describe the consumption-based model

When comparing IT infrastructure models, there are two types of expenses to consider. Capital expenditure (CapEx) and operational expenditure (OpEx).

CapEx is typically a one-time, up-front expenditure to purchase or secure tangible resources. A new building, repaving the parking lot, building a datacenter, or buying a company vehicle are examples of CapEx.

In contrast, OpEx is spending money on services or products over time. Renting a convention center, leasing a company vehicle, or signing up for cloud services are all examples of OpEx.

Cloud computing falls under OpEx because cloud computing operates on a consumption-based model. With cloud computing, you don’t pay for the physical infrastructure, the electricity, the security, or anything else associated with maintaining a datacenter. Instead, you pay for the IT resources you use. If you don’t use any IT resources this month, you don’t pay for any IT resources.

This consumption-based model has many benefits, including:

No upfront costs.

No need to purchase and manage costly infrastructure that users might not use to its fullest potential.

The ability to pay for more resources when they're needed.

The ability to stop paying for resources that are no longer needed.

With a traditional datacenter, you try to estimate the future resource needs. If you overestimate, you spend more on your datacenter than you need to and potentially waste money. If you underestimate, your datacenter will quickly reach capacity and your applications and services may suffer from decreased performance. Fixing an under-provisioned datacenter can take a long time. You may need to order, receive, and install more hardware. You'll also need to add power, cooling, and networking for the extra hardware.

In a cloud-based model, you don’t have to worry about getting the resource needs just right. If you find that you need more virtual machines, you add more. If the demand drops and you don’t need as many virtual machines, you remove machines as needed. Either way, you’re only paying for the virtual machines that you use, not the “extra capacity” that the cloud provider has on hand.

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Share cybersecurity knowledge with your students

As an educator, you play a crucial role in teaching students about cybersecurity by imparting knowledge, fostering responsible online behavior, and equipping them with the skills to protect themselves in the digital world.

This unit focuses on what you learned throughout this module to help you plan and share the information with your students. Examine some of the ways you can begin to share this knowledge with your students.

Make cybersecurity a point of emphasis in your classroom and school.

Talk with colleagues about cyber issues affecting your school.

Become aware of cybersecurity curricula for students.

Increase your own understanding of cybersecurity by exploring other learning opportunities.

Share tips and ways students can stay secure at home with families.

Choose one of the three options to access cybersecurity resources, curricula, and educator support materials designed for the grade level you teach: elementary, middle, or high school. Before exploring the grade-specific resources, review more information about what each resource from Minecraft Education and Common Sense Education has to offer.

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Machine learning for text classification

Another useful text analysis technique is to use a classification algorithm, such as logistic regression, to train a machine learning model that classifies text based on a known set of categorizations. A common application of this technique is to train a model that classifies text as positive or negative in order to perform sentiment analysis or opinion mining.

For example, consider the following restaurant reviews, which are already labeled as 0 (negative) or 1 (positive):Copy- *The food and service were both great*: 1 - *A really terrible experience*: 0 - *Mmm! tasty food and a fun vibe*: 1 - *Slow service and substandard food*: 0

With enough labeled reviews, you can train a classification model using the tokenized text as features and the sentiment (0 or 1) a label. The model will encapsulate a relationship between tokens and sentiment - for example, reviews with tokens for words like "great", "tasty", or "fun" are more likely to return a sentiment of 1 (positive), while reviews with words like "terrible", "slow", and "substandard" are more likely to return 0 (negative).

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Adding grounding data to an Azure AI project

You can use Azure AI Foundry to build a custom age that uses your own data to ground prompts. Azure AI Foundry supports a range of data connections that you can use to add data to a project, including:

Azure Blob Storage

Azure Data Lake Storage Gen2

Microsoft OneLake

You can also upload files or folders to the storage used by your AI Foundry project.

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Maximum resiliency

The Maximum resiliency architecture in ExpressRoute is structured to eliminate any single point of failure within the Microsoft network path. This set up is achieved by configuring a pair of circuits across two distinct locations for site diversity with ExpressRoute. The objective of Maximum resiliency is to enhance reliability, resiliency, and availability, as a result ensuring the highest level of resilience for business and/or mission-critical workloads. For such operations, we recommend that you configure maximum resiliency