Sample of All FAQs (Helpie FAQ)
Learn how to implement authentication and authorization mechanisms to secure ASP.NET Core applications and protect resources.
Dive deeper into security concepts and best practices to ensure the security of ASP.NET Core applications against common vulnerabilities.
Explore strategies and tools for testing and debugging ASP.NET Core applications to ensure reliability and maintainability.
Discover various deployment options and techniques for deploying ASP.NET Core applications to different hosting environments, including on-premises servers and cloud platforms.
Learn the fundamentals of ASP.NET Core framework, its architecture, and key features for building modern web applications.
Configure and prepare your development environment with necessary tools and dependencies for ASP.NET Core development.
- Create and configure ASP.NET Core applications, including project structure, routing, and middleware setup.
Understand the role of controllers and views in ASP.NET Core, and learn how to create and manage them effectively.
Implement data models and access data using Entity Framework Core or other data access techniques in ASP.NET Core applications.
Explore one of the techniques for handling client-side development using frameworks like Angular, React, or Vue.js alongside ASP.NET Core.
Gain an understanding of fundamental programming principles and terminology essential for building a strong foundation in programming.
Develop logical thinking skills and learn problem-solving strategies crucial for effective software development.
Variables, Data Types, and Operators
Decision Making and Looping: Learn how to control the flow of program execution using decision-making structures like if statements and looping constructs like for and while loops.
Understand the concept of functions and modular programming to organize code into reusable and manageable components.
- Delve into the principles of OOP, including classes, objects, inheritance, polymorphism, and encapsulation, for building modular and maintainable code.
- Discover the importance of version control systems like Git for tracking changes to code, collaborating with others, and managing project history effectively.
- Compare Azure storage services
- Describe storage tiers
- Describe redundancy options
- Describe storage account options and storage types
- Identify options for moving files, including AzCopy, Azure Storage Explorer, and Azure File Sync
- Describe migration options, including Azure Migrate and Azure Data Box
- Lab: Create a storage blob
- Describe directory services in Azure, including Azure Active Directory (AD) and Azure AD DS
- Describe authentication methods in Azure, including single sign-on (SSO), multifactor authentication (MFA), and passwordless
- Describe external identities and guest access in Azure
- Describe Azure AD Conditional Access
- Describe Azure Role-Based Access Control (RBAC)
- Describe the concept of Zero Trust
- Describe the purpose of the defense-in-depth model
- Describe the purpose of Microsoft Defender for the Cloud
- Describe factors that can affect costs in Azure
- Compare the Pricing calculator and Total Cost of Ownership (TCO) calculator
- Describe Azure Cost Management Tool
- Describe the purpose of tags
- Lab: Estimate workload costs by using the Pricing calculator
- Lab: Compare workload costs using the TCO calculator
- Describe the purpose of Azure Blueprints
- Describe the purpose of Azure Policy
- Describe the purpose of resource locks
- Describe the purpose of the Service Trust portal
- Lab: Configure a resource lock
- Describe Azure portal
- Describe Azure Cloud Shell, including Azure CLI and Azure PowerShell
- Describe the purpose of Azure Arc
- Describe Azure Resource Manager (ARM) and Azure ARM templates
- Describe the purpose of Azure Advisor
- Describe Azure Service Health
- Describe Azure Monitor, including Azure Log Analytics, Azure Monitor Alerts, and Application Insights
- Manage resources with the Azure portal
- Manage resources with Azure Cloud Shell
- Manage resources with Azure PowerShell
- Manage resources with Azure CLI
- Lab: Interactive lab simulation (Azure Powershell)
- Lab: Interactive lab simulation ( Azure CLI)
- Learn how to read text in images with Azure AI Vision.
- Lab: Read text in Vision Studio
- Learn how to use Azure AI Language for text analysis
- Lab: Analyze text with Language Studio
- Understand how to use Azure AI-Language and Azure AI Bot Service to create a bot
- Lab: Use question answering with Language Studio
- Learn what conversational language understanding is
- Learn about key features, such as intents and utterances
- Build and publish a natural-language machine-learning model
- Lab: Use Conversational Language Understanding with Language Studio
- Learn about speech recognition and synthesis
- Learn how to use Azure AI Speech
- Lab: Explore Speech Studio
- Provision Azure resources for speech translation
- Generate text translation from speech
- Synthesize spoken translations
- Lab: Translate speech
- Examine Power Apps
- Explore canvas applications
- Explore model-driven applications
- Differentiate between canvas and model-driven applications
- Build a basic canvas app
- Build a basic model-driven app
- Lab: Build a canvas app
- Lab: Build a basic model-driven app
- Examine the capabilities of Power Automate
- Explore the different Power Automate apps
- Examine the components of a cloud flow
- Examine Power Automate scenarios
- Build a basic cloud flow
- Build a basic desktop flow
- Examine the business value provided by Power Automate
- Lab: Build a basic Power Automate flow
- Describe the business value and features of Power BI
- Compare and contrast the different components that makeup Power BI
- Describe how to clean and transform data
- Examine how AI insights help detect anomalies and spot trends
- Build a basic dashboard
- Consume Power BI reports and dashboards
- Describe the capabilities of Power Virtual Agents and the business value it provides
- Examine the process of building a simple chatbot
- Describe the capabilities of Power Pages and the business value it provides
- Examine the process for building a basic site
- Describe the capabilities of AI Builder and the business value it provides
- Learn how to build apps, workflows, chatbots, and dashboards
- Learn how to provision Dataverse for Teams and then create a table for your data
- Create an app by using the hero template
- Customize and publish your app
- Install templates
- Build a flow to respond to changes in Teams
- Extend an app in Microsoft Power Apps to trigger a flow
- Schedule a flow to complete routine tasks
- Lab: Create a workflow that triggers when a new message is created
- Lab: Add a flow to your Power Apps app
- Import a Microsoft Dataverse dataset into Power BI
- Create a new Power BI report based on the dataset
- Edit a report
- Share a report with others in Teams channels, chats, or meetings
- Learn how Power BI services and applications work together
- Explore how Power BI can make your business more efficient
- Learn how to create compelling visuals and reports
- Learn about choices
- Explore the standard choices
- Create a new choice or modify an existing one
- Lab: Create a new choice or modify an existing choice
- Learn about security roles and apply them to users in an environment
- Learn how to add users to an environment
- Understand security concepts in Dataverse
- Identify default security roles
- Create a custom role
- Create a custom security role and assign it to entities and users
- Learn how to configure Dataverse teams for security
- Learn how to configure Dataverse group teams for security
- Lab: Create a custom role
- Administer Dataverse
- Identify the different portals that are available for Dataverse
- Manage role-based security
- Explore customization functionality and customize themes
- Lab: Create a new security role
- Access Microsoft Power Platform admin experiences
- Create a simple environment and tenant-wide DLP policies
- Discover and identify the differences between the Business data group and the No-business data group
- Learn about the differences between out-of-the-box Power Automate Admin experiences and the Microsoft Power
- Platform Center of Excellence toolkit
- Lab: Create a Power Platform environment
- Build quick measures
- Create calculated columns
- Use DAX to build measures
- Discover how context affects DAX measures
- Use the CALCULATE function to manipulate filters
- Implement time intelligence by using DAX
- Labs: Introduction to DAX in Power BI Desktop
- Labs: Time intelligence and measures in DAX
- Review the performance of measures, relationships, and visuals
- Use variables to improve performance and troubleshoot
- Improve performance by reducing cardinality levels
- Optimize DirectQuery models with table-level storage
- Create and manage aggregations
- Add visualization items to reports
- Choose an effective visualization
- Format and configure visualizations
- Import a custom visual
- Add an R or Python visual
- Labs: Design a report in Power BI desktop
- Design a report layout
- Add buttons, bookmarks, and selections
- Design report navigation
- Use basic interactions
- Use advanced interactions and drill-through
- Configure conditional formatting
- Apply slicing, filtering, and sorting
- Publish and export reports
- Comment on reports
- Use a Performance analyzer to tune reports
- Optimize reports for mobile use
- Labs: Enhance Power BI reports with slicers, interaction, and formatting
- Set a mobile view
- Add a theme to the visuals in your dashboard
- Configure data classification
- Add real-time dataset visuals to your dashboards
- Pin a live report page to a dashboard
- Labs: Create a Power BI dashboard
- Why you should segment data that is used by your solutions into many tables
- Why you need to relate one table to another
- How to build relationships between tables
- How to select the proper relationship type when you're building solutions with Dataverse
- Lab: Create two tables and relate them by using a one-to-many relationship
- Define business rules in Dataverse
- Create and manage business rules in Dataverse
- Lab: Create a business rule
- Define a rollup column
- Create a rollup column
- Identify a calculation column
- Create a calculation column
- Lab: Create a rollup column
- Lab: Create a calculation column
- Learn about security roles and apply them to users in an environment
- Learn how to add users to an environment
- Understand security concepts in Dataverse
- Identify default security roles
- Create a custom role
- Create a custom security role and assign it to entities and users
- Learn how to configure Dataverse teams for security
- Learn how to configure Dataverse group teams for security
- Lab: Create a custom role
- Explore how Power Apps can make your business more efficient
- Learn how to use different technologies to perform different tasks in Power Apps
- Learn about the different ways to build an app in Power Apps
- Create your first app from data in an Excel workbook
- Lab: Create your first app in Power Apps
- Lab: Create an app from Excel using Copilot
- Change the layout of a gallery
- Change the data that a control shows
- Change the order in which fields appear
- Change the control with which a user provides information
- Explore controls on each screen of an app
- Format a number as a price
- Color prices based on their values
- Explore formulas in a generated app
- Lab: Get started with functions in Power Apps
- Create a cloud flow
- Configure the on-premises data gateway to enable the cloud flow to run the desktop flow on your device
- Add the desktop flow to the new cloud flow
- Test the new cloud flow
- Build a new AI model for form processing
- Train the new AI model to process Contoso Invoice forms
- Integrate the new AI model into an existing cloud flow
- Test the updated cloud flow and associated AI Builder-based predictions
- Integrate a Microsoft Teams-based approval model and the associated conditional logic into an existing cloud flow.
- Integrate the desktop flow for entering the invoice information into the approval process.
- Integrate Microsoft Outlook-based approval/rejection notifications into the invoice process.
- Test the end-to-end invoice processing cloud flow.
- Run a basic desktop flow in unattended mode
- Run a desktop flow and cloud flow scenario in unattended mode
- Learn best practices and set up for unattended desktop flows
- Create your first recording
- Edit recordings and group actions
- Analyze recordings and interpret results
- Create, edit, and manipulate variables
- Examine the variables pane
- Become familiar with various variable data types and their properties
- Configure input and output variables
- Lab: Create, access, and manipulate variables
- Use simple loops to perform a given number of repetitions and iterate through the data
- Deploy loop conditions in order to repeat actions until a condition is met
- Iterate through the items of a list using each loop
- Explicitly end loops when required
- Lab: Loops
- Use "If" conditionals
- Deploy "Switch" conditionals in order to compare a single variable with multiple possible values
- Explore additional options when evaluating conditions
- Provide default and alternative behaviors for flows based on the environmental data
- Lab: If group of actions
- Learn how flow control works
- Learn how to use the flow control group of actions to direct and manipulate the flow
- Use the recorder to generate actions automating local Windows UI-based tasks
- Deploy the recorder to automate interactions with a web browser
- Preview and edit the automatically generated actions during and after the recording
- Lab: Use the recorder to automate web applications
- Lab: Use the recorder to automate desktop applications
- Configure the exception-handling properties of individual actions
- Lab: Exception handling
- Learn how to create flows that manage files and folders
- Learn how to manage the properties of multiple files and folders
- Lab: Create a backup copy of the desktop folder
- Learn how to configure browser automation actions
- Learn how to extract data from web pages
- Create a flow that extracts gainer stocks from the MSN website
- Lab: Extract stocks from MSN
- Learn about the concept of UI elements
- Discover the window and element-handling capabilities of Power Automate for desktop
- Open Excel files and attach a process to an already opened file
- Use the Excel group of actions to read data from and write data to an Excel file
- Create and edit worksheets
- Save and close Excel files
- Lab: Organize data in a spreadsheet
- Become familiar with the email, Outlook, and Exchange actions
- Create a flow that retrieves, processes, and sends emails
- Lab: Confirm the submission of support tickets
- Automate system-related tasks with the system and workstation groups of actions
- Automate the management of Windows services with the service group of actions
- Familiarize yourself with the various preset message box actions
- Lab: Use message boxes to communicate
- Learn how to use the text group of actions
- Create methods that help you process and edit text
- Manipulate text type variables for input and output in actions and flows
- Lab: Text actions
- Learn how to create a flow that simulates human interaction with a PC
- Learn how to automate simulated mouse movement and clicks
- Learn how to select and locate a specific image or area on the screen with the mouse
- Learn how to emulate typing or keypresses
- Lab: Simulate mouse and keyboard actions
- Create a cloud flow in Power Automate that calls a Power Automate desktop flow
- Use the values of variables from Power Automate in a Power Automate desktop flow
- Use the resulting variables from Power Automate for desktop in Power Automate actions
- Lab: Create a cloud flow that calls a Power Automate desktop flow
- Compose a connection string to connect to a database
- Use the appropriate action to run queries on a database
- Connect to an Active Directory server
- Manage users, groups, and objects with Active Directory actions
- Lab: Create a new Active Directory user
- Learn how to use scripting actions.
- Create two flows using VBScript and JavaScript.
- Learn how to configure OCR actions
- Create a flow that extracts text from images using OCR technologies
- Lab: Extract data from images
- Get started with custom connectors in Microsoft Power Platform
- Learn about the role of custom connectors
- Build a connector and use it in a Power Automate flow
- Lab: Create a new connector in a solution
- Lab: Use a connector from Power Automate
- Learn about authentication options
- Learn how to use APIs with Microsoft Entra ID
- Use a graph API from a custom connector
- Share and move between environments
- Lab: Use graph API from a custom connector
- Access Microsoft Power Platform admin experiences
- Create a simple environment and tenant-wide DLP policies
- Discover and identify the differences between the Business data group and the No-business data group
- Learn about the differences between out-of-the-box Power Automate Admin experiences and the Microsoft Power
- Platform Center of Excellence toolkit
- Use: Create a Power Platform environment
- Learn about the solution architect’s role in project governance
- Identify techniques for keeping a project on track
- Explore scenarios that could cause a project to fail
- Review the key Power Platform architecture components
- Explore how the platform's design and limits can influence solution architectures
- Review how to communicate with the customer on how the platform can meet their needs
- Learn about data modeling influencers
- Discover various data model strategies
- Learn about data types and data relationships
- Lab: Model data
- Discover the planning and evaluating requirements
- Learn about operational reporting
- Review the capabilities of Microsoft Power BI and how to use it with Power Platform components
- Learn how to use pre-built insights and custom AI
- Explore options for apps and how to choose where to start
- Explore app composition options
- Learn how to use components as part of your app architecture
- Discover when to include Power Apps portals as an app in your architecture
- Learn about Microsoft's vision and the solution architect’s role in ALM
- Review environment strategies
- Define a solution structure for your deliverables
- Review options for automation and custom logic
- Review considerations for using triggers and common actions
- Explore how to use business process flows to guide users through business processes
- Discover the solution architect’s role in security modeling
- Learn how to control access to environments and resources
- Learn how to control access to data in Dataverse
- Lab: Security modeling
- Learn about the solution architect’s role in integrations
- Learn about integration and why it's necessary
- Discover Power Platform features that help enable integration
- Use the capabilities of Microsoft Azure
- Explore options for chatbots and how to choose where to start
- Explore scenarios for chatbots
- Learn about the components of Power Virtual Agents
- Explore options for automation and how to choose where to start
- Explore scenarios for Power Automate for desktop
- Learn about the components for running Power Automate for desktop flows
- Review the solution architect’s role with testing and go-live
- Learn about the data migration process and deployment
- Learn about the testing process
- Discover how to plan for go-live
- How to identify which Microsoft Power Platform component to use based on a specific scenario.
- How to determine what type of app you should create based on your needs.
- Dataverse and directions on when and how to apply it.
- Environments and how makers use them.
- Copilot and why it matters to you as a maker.
- Create tables with Dataverse
- Import data into a Dataverse database
- Lab: Create a Microsoft Dataverse table
- Lab: Import data into your Microsoft Dataverse database
- Lab: Create table relationships
- Lab: Create a custom table and import data
- Learn what a column is in Dataverse
- Learn about the types of columns that are available in Dataverse
- Add a column to a table
- Learn what a primary name column is in Dataverse
- Identify restrictions that are associated with columns
- Create an auto-numbering column
- Create an alternate key
- Labs: Add a few columns to the custom table
- View data within a table
- Create or edit views of data in a table
- Load data into a table
- Export data from a table
- Add, update, or delete data in a table by using Excel
- Import data using Power Query in Maker Portal
- Generate a new dataflow from an Excel Template
- Learn about dataflows
- Learn how to export data from Dataverse into Excel files.
- Discover the different exported file types.
- Learn about the security concepts for the exported data.
- Lab: Create an editable Excel file for bulk validation
- Lab: Edit account information in Excel and visualize updates in Dataverse
- Learn the components and features of Microsoft Power Platform
- Identify when to use each Microsoft Power Platform component application to create business solutions
- Understand connectors
- Learn the value of using Microsoft Power Platform to create business solutions
- Create tables with Dataverse
- Import data into a Dataverse database
- Lab: Create a Microsoft Dataverse table
- Lab: Create a custom table and import data
- Tables in Dataverse
- Types of tables that are available in Dataverse
- Creating a custom table
- Enabling attachments within a table
- Which licensing requirements to apply to use each type of table
- Lab: Create a new custom table and enable attachments
- Learn what a column is in Dataverse
- Learn about the types of columns that are available in Dataverse
- Add a column to a table
- Learn what a primary name column is in Dataverse
- Identify restrictions that are associated with columns
- Create an auto-numbering column
- Create an alternate key
- Why you should segment data that is used by your solutions into many tables
- Why do you need to relate one table to another
- How to build relationships between tables
- How to select the proper relationship type when you're building solutions with Dataverse
- Lab: Create two tables and relate them by using a one-to-many relationship
- Discover the value and key features of Dataverse
- Learn about the value and key features of model-driven apps
- Explore sample model-driven template apps
- Learn about model-driven app design
- Create a model-driven app
- Lab: Control security when sharing model-driven apps
- Lab: Create a model-driven app
- Tables in Dataverse
- Types of tables that are available in Dataverse
- Creating a custom table
- Enabling attachments within a table
- Which licensing requirements to apply to use each type of table
- Lab: Create a new custom table and enable attachments
- Learn what a column is in Dataverse
- Learn about the types of columns that are available in Dataverse
- Add a column to a table
- Learn what a primary name column is in Dataverse
- Identify restrictions that are associated with columns
- Create an auto-numbering column
- Create an alternate key
- Learn about choices
- Explore the standard choices
- Create a new choice or modify an existing one
- Lab: Create a new choice or modify an existing choice
- Define cloud computing
- Describe the shared responsibility model
- Define cloud concepts and models, including public, private, and hybrid
- Identify appropriate use cases for each cloud model
- Describe the consumption-based model
- Compare cloud pricing models
- Describe the benefits of high availability and scalability in the cloud
- Describe the benefits of reliability and predictability in the cloud
- Describe the benefits of security and governance in the cloud
- Describe the benefits of manageability in the cloud
- Describe Infrastructure as a Service (IaaS)
- Describe Platform as a Service (PaaS)
- Describe Software as a Service (SaaS)
- Identify appropriate use cases for each cloud service (IaaS, PaaS, SaaS)
- Describe Azure regions, region pairs, and sovereign regions
- Describe Availability Zones
- Describe Azure datacenters
- Describe Azure resources and Resource Groups
- Describe subscriptions
- Describe management groups
- Describe the hierarchy of resource groups, subscriptions, and management groups
- Lab: Explore the Learn sandbox
- Lab: Create an Azure resource
- Compare compute types, including container instances, virtual machines, and functions
- Describe virtual machine (VM) options, including VMs, Virtual Machine Scale Sets, availability sets, Azure Virtual Desktop
- Describe resources required for virtual machines
- Describe application hosting options, including Azure Web Apps, containers, and virtual machines
- Describe virtual networking, including the purpose of Azure Virtual Networks, Azure virtual subnets, peering, Azure DNS, VPN Gateway, and ExpressRoute
- Define public and private endpoints
- Lab: Create an Azure Virtual Machine
- Lab: Configure network access
- Define Microsoft Entra concepts, including identities, accounts, and tenants
- Describe Microsoft Entra features to support different configurations
- Understand differences between Microsoft Entra ID and Active Directory Domain Services (AD DS)
- Choose between supported editions of Microsoft Entra ID
- Implement the Microsoft Entra join feature
- Use the Microsoft Entra self-service password reset feature
- Configure users account and user account properties
- Create new user accounts
- Import bulk user accounts with a template
- Configure group accounts and assignment types
- Lab: Interactive lab simulation
- Determine the correct region to locate Azure services
- Review features and use cases for Azure subscriptions
- Obtain an Azure subscription
- Understand billing and features for different Azure subscriptions
- Use Microsoft Cost Management for cost analysis
- Discover when to use Azure resource tagging
- Identify ways to reduce costs
- Create management groups to target policies and spending budgets
- Implement Azure Policy with policy and initiative definitions
- Scope Azure policies and determine compliance
- Lab: Interactive lab simulation
- Identify features and use cases for role-based access control
- List and create role definitions
- Create role assignments
- Identify differences between Azure RBAC and Azure Active Directory roles
- Manage access to subscriptions with RBAC
- Review built-in Azure RBAC roles
- Lab: Interactive lab simulation
- Explain the benefits of using Microsoft Authentication Library and the application types and scenarios it supports
- Instantiate both public and confidential client apps from code
- Register an app with the Microsoft identity platform
- Create an app that retrieves a token by using the MSAL.NET library
- Lab: Implement interactive authentication by using MSAL.NET
- Identify the three types of shared access signatures
- Explain when to implement shared access signatures
- Create a stored access policy
- Explain the benefits of using Microsoft Graph
- Perform operations on Microsoft Graph by using REST and SDKs
- Apply best practices to help your applications get the most out of Microsoft Graph
- Describe Azure App Service key components and value
- Explain how Azure App Service manages authentication and authorization
- Identify methods to control inbound and outbound traffic to your web app
- Deploy an app to App Service using Azure CLI commands
- Lab: Create a static HTML web app by using Azure Cloud Shell
- Create application settings that are bound to deployment slots
- Explain the options for installing SSL/TLS certificates for your app
- Enable diagnostic logging for your app to aid in monitoring and debugging
- Create virtual app to directory mappings
- Identify scenarios for which autoscaling is an appropriate solution
- Create autoscaling rules for a web app
- Monitor the effects of autoscaling
- Describe the benefits of using deployment slots
- Understand how slot swapping operates in App Service
- Perform manual swaps and enable auto swap
- Route traffic manually and automatically
- Explain functional differences between Azure Functions, Azure Logic Apps, and WebJobs
- Describe Azure Functions hosting plan options
- Describe how Azure Functions scale to meet business needs
- Explain the key components of a function and how they are structured
- Create triggers and bindings to control when a function runs and where the output is directed
- Connect a function to services in Azure
- Create a function by using Visual Studio Code and the Azure Functions Core Tools
- Lab: Create an Azure Function by using Visual Studio Code
- Identify the different types of storage accounts and the resource hierarchy for blob storage
- Explain how data is securely stored
- Enable a storage account for static website hosting
- Describe how each of the access tiers is optimized
- Create and implement a lifecycle policy
- Rehydrate blob data stored in an archive tier
- Create an application to create and manipulate data by using the Azure Storage client library for Blob storage
- Manage container properties and metadata by using .NET and REST
- Lab: Create Blob storage resources by using the .NET client library
- Identify the key benefits provided by Azure Cosmos DB
- Describe the elements in an Azure Cosmos DB account and how they are organized
- Explain the different consistency levels and choose the correct one for your project
- Explore the APIs supported in Azure Cosmos DB and choose the appropriate API for your solution
- Describe how request units impact costs
- Create Azure Cosmos DB resources by using the Azure portal
- Lab: Create Azure Cosmos DB resources by using the Azure portal
- Identify classes and methods used to create resources
- Create resources by using the Azure Cosmos DB .NET v3 SDK
- Write stored procedures, triggers, and user-defined functions by using JavaScript
- Lab: Create resources by using the Microsoft .NET SDK v3
- Explain the features and benefits Azure Container Registry offers
- Describe how to use ACR Tasks to automate builds and deployments
- Explain the elements in a Dockerfile
- Build and run an image in the ACR by using Azure CLI
- Lab: Build and run a container image by using Azure Container Registry Tasks
- Describe the benefits of Azure Container Instances and how resources are grouped
- Deploy a container instance in Azure by using the Azure CLI
- Start and stop containers using policies
- Set environment variables in your container instances
- Mount file shares in your container instances
- Lab: Deploy a container instance by using the Azure CLI
- Describe the benefits of Azure Container Instances and how resources are grouped
- Deploy a container instance in Azure by using the Azure CLI
- Start and stop containers using policies
- Set environment variables in your container instances
- Mount file shares in your container instances
- Lab: Deploy a container app
- Identify the components of the Microsoft identity platform
- Describe the three types of service principals and how they relate to application objects
- Explain how permissions and user consent operate, and how conditional access impacts your application
- Understand what DevOps is and the steps to accomplish it
- Identify teams to implement the process
- Plan for the transformation with shared goals and timelines
- Plan and define timelines for goals
- Understand different projects and systems to guide the journey
- Select a project to start the DevOps transformation
- Identify groups to minimize initial resistance
- Identify project metrics and Key Performance Indicators (KPI's)
- Understand agile practices and principles of agile development
- Create a team and agile organizational structure
- Identify ideal DevOps team members
- Select and configure tools for collaboration
- Design a tool integration strategy
- Design a license management strategy (e.g. Azure DevOps and GitHub users)
- Design a strategy for end-to-end traceability from work items to working software
- Design an authentication and access strategy
- Design a strategy for integrating on-premises and cloud resources
- Describe GitHub Projects and Azure Boards
- Link Azure Boards and GitHub
- Configure and Manage GitHub Projects and boards
- Customize Project views
- Understand source control
- Apply best practices for source control
- Describe the benefits of using source control
- Apply source control practices in your development process
- Explain the differences between centralized and distributed version control
- Understand Git and TFVC
- Develop using Git
- Describe Azure Repos and GitHub
- Migrate from TFVC to Git
- Work with GitHub Codespaces
- Understand Git repositories
- Implement mono repo or multiple repos
- Explain how to structure Git Repos
- Implement a change log
- Describe Git branching workflows
- Implement feature branches
- Implement GitHub Flow
- Fork a repo
- Leverages pull requests for collaboration and code reviews
- Give feedback using pull requests
- Configure branch policies
- Use GitHub mobile for pull requests approvals
- Lab: Azure Repos collaborating with pull requests
- Identify and manage technical debt
- Integrate code quality tools
- Plan code reviews
- Describe complexity and quality metrics
- Understand Git hooks
- Identify when used Git hooks
- Implement Git hooks for automation
- Explain Git hooks’ behavior
- Use Git to foster inner source across the organization
- Implement fork workflow
- Choose between branches and forks
- Share code between forks
- Learn about the kinds of solutions AI can make possible and considerations for responsible AI practices.
- Describe the core concepts of machine learning
- Identify different types of machine learning
- Describe considerations for training and evaluating machine learning models
- Describe core concepts of deep learning
- Use automated machine learning in Azure Machine Learning service
- Lab: Explore Automated Machine Learning in Azure Machine Learning
- Understand applications Azure AI services can be used to build
- Understand how to access Azure AI services in the Azure portal
- Understand how to use Azure AI services keys and endpoint for authentication
- Create and use an Azure AI services resource in a Content Safety Studio setting
- Lab: Explore Azure AI Services
- Learn how to use the Azure AI Vision service to analyze images
- Lab: Analyze images in Vision Studio
- Learn how to use Azure AI Face service to detect and analyze faces in images.
- Lab: Detect faces in Vision Studio
- Define artificial intelligence
- Understand AI-related terms
- Understand considerations for AI Engineers
- Understand considerations for responsible AI
- Understand capabilities of Azure Machine Learning
- Understand capabilities of Azure AI Services
- Understand capabilities of the Azure Bot Service
- Understand capabilities of Azure Cognitive Search
- Provision Azure AI Services resources in an Azure subscription
- Identify endpoints, keys, and locations required to consume an Azure AI Services resource
- Use a REST API to consume an Azure AI service
- Use an SDK to consume an Azure AI service
- Lab: Use Azure AI Services.
- Consider authentication for Azure AI Services
- Manage network security for Azure AI Services
- Lab: Manage Azure AI Services Security
- Monitor Azure AI Services costs
- Create alerts
- View metrics
- Manage diagnostic logging
- Lab: Monitor Azure AI Services
- Create Containers for Reuse
- Deploy to a Container
- Secure a Container
- Consume Azure AI Services from a Container
- Lab: Use a container
- Detect language
- Extract key phrases
- Analyze sentiment
- Extract entities
- Extract linked entities
- Lab: Analyze text
- Provision a Translator resource
- Understand language detection, translation, and transliteration
- Specify translation options
- Define custom translations
- Lab: Translate text with Azure AI Translator service
- Provision an Azure resource for the Azure AI Speech service
- Use the Azure AI speech-to-text API to implement speech recognition
- Use the Text to speech API to implement speech synthesis
- Configure audio format and voices
- Use Speech Synthesis Markup Language (SSML)
- Lab: Create a speech-enabled app
- Examine Microsoft Power Platform
- Describe the business value of the Power Platform
- Explore connectors in Power Platform
- Review using Microsoft Dataverse to organize business data
- Examine how Power Platform works together with Microsoft 365 apps and services
- Explore solutions using Power Platform Microsoft Teams
- Describe how Power Platform works with Dynamics 365
- Describe how Power Platform solutions can consume Azure Services
- Explore how Power Platform apps work together to create solutions
- Examine the different Power Platform administrative options available
- Describe security and governance in Power Platform
- Explore Microsoft Dataverse and how to use it to build business solutions
- Examine Power Platform connectors
- Lab: Build a basic Dataverse data model
- Learn about the roles of data
- Learn about the tasks of a data analyst
- Learn how Power BI services and applications work together
- Explore how Power BI can make your business more efficient
- Learn how to create compelling visuals and reports
- Identify and connect to a data source
- Get data from a relational database, like Microsoft SQL Server
- Get data from a file like Microsoft Excel
- Get data from applications
- Get data from Azure Analysis Services
- Select a storage mode
- Fix performance issues
- Resolve data import errors
- Labs: Prepare data in Power BI Desktop
- Resolve inconsistencies, unexpected or null values, and data quality issues
- Apply user-friendly value replacements
- Profile data so you can learn more about a specific column before using it
- Evaluate and transform column data types
- Apply data shape transformations to table structures
- Combine Queries
- Apply user-friendly naming conventions to columns and queries
- Edit M code in the Advanced Editor
- Labs: Load data in Power BI Desktop
- Create common data tables
- Configure many-to-many relationships
- Resolve circular relationships
- Design star schemas
- Labs: Model data in Power BI Desktop, Part 1
- Explore the console and the flow designer
- Learn how to use the core features of Power Automate for the desktop platform
- Create and run a flow
- Lab: Create and run a simple flow
- Create a flow from scratch using the flow designer
- Learn how to use actions and variables
- Understand the testing and debugging features of the flow designer
- Configure the error-handling properties of individual actions
- Comprehend the use of UI elements and images
- Use sub flows to compartmentalize and reuse parts of a flow
- Learn how to use Power Automate to create a new desktop flow
- Record actions that are performed in a desktop-based application
- Perform a test run of the new desktop flow
- Learn how to create a desktop flow with predefined inputs.
- Record actions that are performed in the desktop-based Contoso Invoicing application by using these inputs and
- capturing application data for output
- Perform a test run of a new desktop flow with a new set of inputs
- Create a new solution to package the complete invoice processing solution
- Create a new cloud flow that initiates the invoicing process through receipt of an email
- Integrate a desktop flow into a cloud flow
- Test the new cloud flow
- Learn about initial customer discovery
- Discover customer communication strategies
- Identify solution components
- Develop and validate a demo
- Learn about leading requirement capture sessions
- Learn about functional and non-functional requirements
- Determine the feasibility of requirements
- Refine requirements from proof of concept insights
- Categorize business requirements and perform a fit-gap analysis
- Evaluate Dynamics 365 and Microsoft Power Platform apps
- Learn about what is expected of a solution architect
- Learn about the role of a solution architect during the project phases
