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The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

Are you looking to enter the dynamic world of real estate? Our course is designed to equip you with the knowledge and tools you need to communicate effectively with real estate professionals and develop key skills in real estate investment strategy and analytics. At the end of the course, you'll be able to read and interpret real estate market reports, and have a firm grasp of how iconic buildings, cities, and companies fit into the overall picture of the real estate sector. On this course, you will… Become familiar with the players, structure, general terminology and overall needs of Real Estate. Learn what is Real Estate and why it is different from other asset classes Get to grips with the overall size and structure of the UK Real Estate Market Learn and analyse the links between the different parts of the property market Understand who works in the Real Estate Market, their qualifications and their job descriptions Recognise how and when to use basic real estate concepts: Rent, Value, Yield, Risk and Return, etc… Learn how to read a real estate market report Understand how current affairs, politics and economics affects Real Estate Investment Use household names and iconic companies, cities and buildings to help consolidate your appreciation of this exciting sector Who will benefit from this course: Graduates or undergraduates studying economics, finance. Professionals working in Marketing or Accounting teams within Real Estate firms. APC students. Anyone interested in Real Estate. School leavers/A-Level Students looking to gain an understanding of Real Estate. Non cognate students who wish to transfer into Real Estate/Finance careers. Course Outline Module 1: What is and why buy Real Estate? The property Market The Size and Structure of the UK property market The impact of Real Estate in the Economy Module 2: The Real Estate Market System The Space Market The Asset Market The Development Market Module 3: How to value Real Estate An Introduction to Financial Mathematics The difference between Price, Value and Worth Property Yield Conventional Valuation Methods Module 4: How to read a Real Estate Market Report Property Market Indicators: Stock Indicators Property Market Indicators: Investment Indicators Module 5: Who works in Real Estate? The build Environment by Cobalt Recruitment Rea; Estate Agents Examples of Real Estate Market Agents CVs Real Estate Network

Duration 1 Days 6 CPD hours This course is intended for The primary audience for this course is data professionals who are familiar with data modeling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies. Job role: Data Analyst, Data Engineer, Data Scientist Overview Describe end-to-end analytics in Microsoft Fabric Describe core features and capabilities of lakehouses in Microsoft Fabric Create a lakehouse Ingest data into files and tables in a lakehouse Query lakehouse tables with SQL Configure Spark in a Microsoft Fabric workspace Identify suitable scenarios for Spark notebooks and Spark jobs Use Spark dataframes to analyze and transform data Use Spark SQL to query data in tables and views Visualize data in a Spark notebook Understand Delta Lake and delta tables in Microsoft Fabric Create and manage delta tables using Spark Use Spark to query and transform data in delta tables Use delta tables with Spark structured streaming Describe Dataflow (Gen2) capabilities in Microsoft Fabric Create Dataflow (Gen2) solutions to ingest and transform data Include a Dataflow (Gen2) in a pipeline This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines. This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric. Introduction to end-to-end analytics using Microsoft Fabric Explore end-to-end analytics with Microsoft Fabric Data teams and Microsoft Fabric Enable and use Microsoft Fabric Knowledge Check Get started with lakehouses in Microsoft Fabric Explore the Microsoft Fabric Lakehouse Work with Microsoft Fabric Lakehouses Exercise - Create and ingest data with a Microsoft Fabric Lakehouse Use Apache Spark in Microsoft Fabric Prepare to use Apache Spark Run Spark code Work with data in a Spark dataframe Work with data using Spark SQL Visualize data in a Spark notebook Exercise - Analyze data with Apache Spark Work with Delta Lake Tables in Microsoft Fabric Understand Delta Lake Create delta tables Work with delta tables in Spark Use delta tables with streaming data Exercise - Use delta tables in Apache Spark Ingest Data with DataFlows Gen2 in Microsoft Fabric Understand Dataflows (Gen2) in Microsoft Fabric Explore Dataflows (Gen2) in Microsoft Fabric Integrate Dataflows (Gen2) and Pipelines in Microsoft Fabric Exercise - Create and use a Dataflow (Gen2) in Microsoft Fabric

Duration 5 Days 30 CPD hours This course is intended for Students in this course are interested in Azure development or in passing the Microsoft Azure Developer Associate certification exam. This course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions. Prerequisites To be successful in this course, learners should have the following: Hands-on experience with Azure IaaS and PaaS solutions, and the Azure Portal. Experience writing in an Azure supported language at the intermediate level. (C#, JavaScript, Python, or Java) Ability to write code to connect and perform operations on, a SQL or NoSQL database product. (SQL Server, Oracle, MongoDB, Cassandra or similar) Experience writing code to handle authentication, authorization, and other security principles at the intermediate level. A general understanding of HTML, the HTTP protocol and REST API interfaces. 1 - Explore Azure App Service Examine Azure App Service Examine Azure App Service plans Deploy to App Service Explore authentication and authorization in App Service Discover App Service networking features 2 - Configure web app settings Configure application settings Configure general settings Configure path mappings Enable diagnostic logging Configure security certificates 3 - Scale apps in Azure App Service Examine autoscale factors Identify autoscale factors Enable autoscale in App Service Explore autoscale best practices 4 - Explore Azure App Service deployment slots Explore staging environments Examine slot swapping Swap deployment slots Route traffic in App Service 5 - Explore Azure Functions Discover Azure Functions Compare Azure Functions hosting options Scale Azure Functions 6 - Develop Azure Functions Explore Azure Functions development Create triggers and bindings Connect functions to Azure services 7 - Explore Azure Blob storage Explore Azure Blob storage Discover Azure Blob storage resource types Explore Azure Storage security features Discover static website hosting in Azure Storage 8 - Manage the Azure Blob storage lifecycle Explore the Azure Blob storage lifecycle Discover Blob storage lifecycle policies Implement Blob storage lifecycle policies Rehydrate blob data from the archive tier 9 - Work with Azure Blob storage Explore Azure Blob storage client library Create a client object Manage container properties and metadata by using .NET Set and retrieve properties and metadata for blob resources by using REST 10 - Explore Azure Cosmos DB Identify key benefits of Azure Cosmos DB Explore the resource hierarchy Explore consistency levels Choose the right consistency level Explore supported APIs Discover request units 11 - Work with Azure Cosmos DB Explore Microsoft .NET SDK v3 for Azure Cosmos DB Create stored procedures Create triggers and user-defined functions Explore change feed in Azure Cosmos DB 12 - Manage container images in Azure Container Registry Discover the Azure Container Registry Explore storage capabilities Build and manage containers with tasks Explore elements of a Dockerfile 13 - Run container images in Azure Container Instances Explore Azure Container Instances Run containerized tasks with restart policies Set environment variables in container instances Mount an Azure file share in Azure Container Instances 14 - Implement Azure Container Apps Explore Azure Container Apps Explore containers in Azure Container Apps Implement authentication and authorization in Azure Container Apps Manage revisions and secrets in Azure Container Apps Explore Dapr integration with Azure Container Apps 15 - Explore the Microsoft identity platform Explore the Microsoft identity platform Explore service principals Discover permissions and consent Discover conditional access 16 - Implement authentication by using the Microsoft Authentication Library Explore the Microsoft Authentication Library Initialize client applications 17 - Implement shared access signatures Discover shared access signatures Choose when to use shared access signatures Explore stored access policies 18 - Explore Microsoft Graph Discover Microsoft Graph Query Microsoft Graph by using REST Query Microsoft Graph by using SDKs Apply best practices to Microsoft Graph 19 - Implement Azure Key Vault Explore Azure Key Vault Discover Azure Key Vault best practices Authenticate to Azure Key Vault 20 - Implement managed identities Explore managed identities Discover the managed identities authentication flow Configure managed identities Acquire an access token 21 - Implement Azure App Configuration Explore the Azure App Configuration service Create paired keys and values Manage application features Secure app configuration data 22 - Explore API Management Discover the API Management service Explore API gateways Explore API Management policies Create advanced policies Secure APIs by using subscriptions Secure APIs by using certificates 23 - Explore Azure Event Grid Explore Azure Event Grid Discover event schemas Explore event delivery durability Control access to events Receive events by using webhooks Filter events 24 - Explore Azure Event Hubs Discover Azure Event Hubs Explore Event Hubs Capture Scale your processing application Control access to events Perform common operations with the Event Hubs client library 25 - Discover Azure message queues Choose a message queue solution Explore Azure Service Bus Discover Service Bus queues, topics, and subscriptions Explore Service Bus message payloads and serialization Explore Azure Queue Storage Create and manage Azure Queue Storage and messages by using .NET 26 - Monitor app performance Explore Application Insights Discover log-based metrics Instrument an app for monitoring Select an availability test Troubleshoot app performance by using Application Map 27 - Develop for Azure Cache for Redis Explore Azure Cache for Redis Configure Azure Cache for Redis Interact with Azure Cache for Redis by using .NET 28 - Develop for storage on CDNs Explore Azure Content Delivery Networks Control cache behavior on Azure Content Delivery Networks Interact with Azure Content Delivery Networks by using .NET

Duration 4 Days 24 CPD hours This course is intended for The audience for this course is data professionals managing data and databases who want to learn about administering the data platform technologies that are available on Microsoft Azure. This course is also valuable for data architects and application developers who need to understand what technologies are available for the data platform with Azure and how to work with those technologies through applications. This course provides students with the knowledge and skills to administer a SQL Server database infrastructure for cloud, on-premises and hybrid relational databases and who work with the Microsoft PaaS relational database offerings. Additionally, it will be of use to individuals who develop applications that deliver content from SQL-based relational databases. Prerequisites In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses: AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Prepare to maintain SQL databases on Azure Describe Microsoft Intelligent Data Platform roles Understand SQL Server in an Azure virtual machine Design Azure SQL Database for cloud-native applications Explore Azure SQL Database Managed Instance 2 - Deploy IaaS solutions with Azure SQL Explain IaaS options to deploy SQL Server in Azure Understand hybrid scenarios Explore performance and security Explain high availability and disaster recovery options 3 - Deploy PaaS solutions with Azure SQL Explain PaaS options for deploying SQL Server in Azure Explore single SQL database Deploy SQL database elastic pool Understand SQL database hyperscale Examine SQL managed instance Describe SQL Edge 4 - Evaluate strategies for migrating to Azure SQL Understand compatibility level Understand Azure preview features Describe Azure database migration options 5 - Migrate SQL workloads to Azure SQL databases Choose the right SQL Server Instance option in Azure Migrate SQL Server to Azure SQL Database offline Migrate SQL Server to Azure SQL Database online Load and move data to Azure SQL Database 6 - Migrate SQL workloads to Azure Managed Instances Evaluate migration scenarios to SQL Database Managed Instance Migrate to SQL Database Managed Instance Load and Move data to SQL Database Managed Instance 7 - Configure database authentication and authorization Describe Active Directory and Azure Active Directory Describe authentication and identities Describe Security Principals Describe database and object permissions Identify authentication and authorization failures 8 - Protect data in-transit and at rest Explore Transparent Data Encryption Configure server and database firewall rules Explain object encryption and secure enclaves Enable encrypted connections Describe SQL injection Understand Azure Key Vault 9 - Implement compliance controls for sensitive data Explore data classification Explore server and database audit Implement Dynamic Data Masking Implement Row Level security Understand Microsoft Defender for SQL Explore Azure SQL Database Ledger Implement Azure Purview 10 - Describe performance monitoring Describe performance monitoring tools Describe critical performance metrics Establish baseline metrics Explore extended events Describe Azure SQL Insights Explore Query Performance Insight 11 - Configure SQL Server resources for optimal performance Explain how to optimize Azure storage for SQL Server virtual machines Describe virtual machine resizing Optimize database storage Control SQL Server resources 12 - Configure databases for optimal performance Explore database maintenance checks Describe database scoped configuration options Describe automatic tuning Describe intelligent query processing 13 - Explore query performance optimization Understand query plans Explain estimated and actual query plans Describe dynamic management views and functions Explore Query Store Identify problematic query plans Describe blocking and locking 14 - Evaluate performance improvements Describe wait statistics Tune and maintain indexes Understand query hints 15 - Explore performance-based design Describe normalization Choose appropriate data types Design indexes 16 - Automate deployment of database resources Describe deployment models in Azure Automate deployment by using Azure Resource Manager templates and Bicep Automate deployment by using PowerShell Automate deployment by using Azure CLI 17 - Create and manage SQL Agent jobs Create a SQL Server maintenance plan Describe task status notifications 18 - Manage Azure PaaS tasks using automation Explore Elastic jobs Understand Azure Automation Build an automation runbook Automate database workflows by using Logic Apps Monitor automated tasks 19 - Describe high availability and disaster recovery strategies Describe recovery time objective and recovery point objective Explore high availability and disaster recovery options Describe Azure high availability and disaster recovery features for Azure Virtual Machines Describe high availability and disaster recovery options for PaaS deployments Explore an IaaS high availability and disaster recovery solution Describe hybrid solutions 20 - Explore IaaS and PaaS solutions for high availability and disaster recovery Describe failover clusters in Windows Server Configure Always-on availability groups Describe temporal tables in Azure SQL Database Describe active geo-replication for Azure SQL Database Explore auto-failover groups for Azure SQL Database and Azure SQL Managed Instance 21 - Back up and restore databases Back up and restore SQL Server running on Azure virtual machines Back up a SQL Server virtual machine Back up and restore a database using Azure SQL Database Additional course details: Nexus Humans DP-300T00: Administering Microsoft Azure SQL Solutions training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the DP-300T00: Administering Microsoft Azure SQL Solutions course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

C++ Bootcamp is for coding beginners: You want all the basic stuff, all the advanced stuff and practical experience and get a fantastic job in C++

Learn how to administer vaccines or injections ... Nationally Recognised Qualification Includes IM, ID and Sub-Cut Injection methods OCN Accredited - Level 4 (Foundation Degree - FDSc) Covers all steps to safely perform a vaccination Use same techniques and skills for aesthetic therapies Includes B12, Vitamin C and other treatments Essential qualification for all injections Basic understanding of English language required OPEN TO ALL APPLICANTS

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing. Overview Create sophisticated SSIS packages for extracting, transforming, and loading data Use containers to efficiently control repetitive tasks and transactions Configure packages to dynamically adapt to environment changes Use Data Quality Services to cleanse data Successfully troubleshoot packages Create and Manage the SSIS Catalog Deploy, configure, and schedule packages Secure the SSIS Catalog SQL Server Integration Services is the Community Courseware version of 20767CC Implementing a SQL Data Warehouse. This five-day instructor-led course is intended for IT professionals who need to learn how to use SSIS to build, deploy, maintain, and secure Integration Services projects and packages, and to use SSIS to extract, transform, and load data to and from SQL Server. This course is similar to the retired Course 20767-C: Implementing a SQL Data Warehouse but focuses more on building packages, rather than the entire data warehouse design and implementation. Prerequisites Working knowledge of T-SQL and SQL Server Agent jobs is helpful, but not required. Basic knowledge of the Microsoft Windows operating system and its core functionality. Working knowledge of relational databases. Some experience with database design. 1 - SSIS Overview Import/Export Wizard Exporting Data with the Wizard Common Import Concerns Quality Checking Imported/Exported Data 2 - Working with Solutions and Projects Working with SQL Server Data Tools Understanding Solutions and Projects Working with the Visual Studio Interface 3 - Basic Control Flow Working with Tasks Understanding Precedence Constraints Annotating Packages Grouping Tasks Package and Task Properties Connection Managers Favorite Tasks 4 - Common Tasks Analysis Services Processing Data Profiling Task Execute Package Task Execute Process Task Expression Task File System Task FTP Task Hadoop Task Script Task Introduction Send Mail Task Web Service Task XML Task 5 - Data Flow Sources and Destinations The Data Flow Task The Data Flow SSIS Toolbox Working with Data Sources SSIS Data Sources Working with Data Destinations SSIS Data Destinations 6 - Data Flow Transformations Transformations Configuring Transformations 7 - Making Packages Dynamic Features for Making Packages Dynamic Package Parameters Project Parameters Variables SQL Parameters Expressions in Tasks Expressions in Connection Managers After Deployment How It All Fits Together 8 - Containers Sequence Containers For Loop Containers Foreach Loop Containers 9 - Troubleshooting and Package Reliability Understanding MaximumErrorCount Breakpoints Redirecting Error Rows Logging Event Handlers Using Checkpoints Transactions 10 - Deploying to the SSIS Catalog The SSIS Catalog Deploying Projects Working with Environments Executing Packages in SSMS Executing Packages from the Command Line Deployment Model Differences 11 - Installing and Administering SSIS Installing SSIS Upgrading SSIS Managing the SSIS Catalog Viewing Built-in SSIS Reports Managing SSIS Logging and Operation Histories Automating Package Execution 12 - Securing the SSIS Catalog Principals Securables Grantable Permissions Granting Permissions Configuring Proxy Accounts Additional course details: Nexus Humans 55321 SQL Server Integration Services training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the 55321 SQL Server Integration Services course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours Overview Mining data Manipulating data Visualizing and reporting data Applying basic statistical methods Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. CompTIA Data+ gives you the confidence to bring data analysis to life. As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making. 1 - Identifying Basic Concepts of Data Schemas Identify Relational and Non-Relational Databases Understand the Way We Use Tables, Primary Keys, and Normalization 2 - Understanding Different Data Systems Describe Types of Data Processing and Storage Systems Explain How Data Changes 3 - Understanding Types and Characteristics of Data Understand Types of Data Break Down the Field Data Types 4 - Comparing and Contrasting Different Data Structures, Formats, and Markup Languages Differentiate between Structured Data and Unstructured Data Recognize Different File Formats Understand the Different Code Languages Used for Data 5 - Explaining Data Integration and Collection Methods Understand the Processes of Extracting, Transforming, and Loading Data Explain API/Web Scraping and Other Collection Methods Collect and Use Public and Publicly-Available Data Use and Collect Survey Data 6 - Identifying Common Reasons for Cleansing and Profiling Data Learn to Profile Data Address Redundant, Duplicated, and Unnecessary Data Work with Missing Value Address Invalid Data Convert Data to Meet Specifications 7 - Executing Different Data Manipulation Techniques Manipulate Field Data and Create Variables Transpose and Append Data Query Data 8 - Explaining Common Techniques for Data Manipulation and Optimization Use Functions to Manipulate Data Use Common Techniques for Query Optimization 9 - Applying Descriptive Statistical Methods Use Measures of Central Tendency Use Measures of Dispersion Use Frequency and Percentages 10 - Describing Key Analysis Techniques Get Started with Analysis Recognize Types of Analysis 11 - Understanding the Use of Different Statistical Methods Understand the Importance of Statistical Tests Break Down the Hypothesis Test Understand Tests and Methods to Determine Relationships Between Variables 12 - Using the Appropriate Type of Visualization Use Basic Visuals Build Advanced Visuals Build Maps with Geographical Data Use Visuals to Tell a Story 13 - Expressing Business Requirements in a Report Format Consider Audience Needs When Developing a Report Describe Data Source Considerations For Reporting Describe Considerations for Delivering Reports and Dashboards Develop Reports or Dashboards Understand Ways to Sort and Filter Data 14 - Designing Components for Reports and Dashboards Design Elements for Reports and Dashboards Utilize Standard Elements Creating a Narrative and Other Written Elements Understand Deployment Considerations 15 - Understand Deployment Considerations Understand How Updates and Timing Affect Reporting Differentiate Between Types of Reports 16 - Summarizing the Importance of Data Governance Define Data Governance Understand Access Requirements and Policies Understand Security Requirements Understand Entity Relationship Requirements 17 - Applying Quality Control to Data Describe Characteristics, Rules, and Metrics of Data Quality Identify Reasons to Quality Check Data and Methods of Data Validation 18 - Explaining Master Data Management Concepts Explain the Basics of Master Data Management Describe Master Data Management Processes Additional course details: Nexus Humans CompTIA Data Plus (DA0-001) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the CompTIA Data Plus (DA0-001) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This four-day course is intended for Windows Server Hybrid Administrators who have experience working with Windows Server and want to extend the capabilities of their on-premises environments by combining on-premises and hybrid technologies. Windows Server Hybrid Administrators implement and manage on-premises and hybrid solutions such as identity, management, compute, networking, and storage in a Windows Server hybrid environment. This course teaches IT Professionals how to manage core Windows Server workloads and services using on-premises, hybrid, and cloud technologies. The course teaches IT Professionals how to implement and manage on-premises and hybrid solutions such as identity, management, compute, networking, and storage in a Windows Server hybrid environment. Prerequisites Experience with managing Windows Server operating system and Windows Server workloads in on-premises scenarios, including AD DS, DNS, DFS, Hyper-V, and File and Storage Services Experience with common Windows Server management tools (implied in the first prerequisite). Basic knowledge of core Microsoft compute, storage, networking, and virtualization technologies (implied in the first prerequisite). Experience and an understanding of core networking technologies such as IP addressing, name resolution, and Dynamic Host Configuration Protocol (DHCP) Experience working with and an understanding of Microsoft Hyper-V and basic server virtualization concepts Basic experience with implementing and managing IaaS services in Microsoft Azure Basic knowledge of Azure Active Directory Experience working hands-on with Windows client operating systems such as Windows 10 or Windows 11 Basic experience with Windows PowerShell 1 - Introduction to AD DS Define AD DS Define users, groups, and computers Define AD DS forests and domains Define OUs Manage objects and their properties in AD DS 2 - Manage AD DS domain controllers and FSMO roles Deploy AD DS domain controllers Maintain AD DS domain controllers Manage the AD DS Global Catalog role Manage AD DS operations masters Manage AD DS schema 3 - Implement Group Policy Objects Define GPOs Implement GPO scope and inheritance Define domain-based GPOs Create and configure a domain-based GPO Define GPO storage Define administrative templates 4 - Manage advanced features of AD DS Create trust relationships Implement ESAE forests Monitor and troubleshoot AD DS Create custom AD DS partitions 5 - Implement hybrid identity with Windows Server Select a Microsoft Entra integration model Plan for Microsoft Entra integration Prepare on-premises Active Directory for directory synchronization Install and configure directory synchronization with Microsoft Entra Connect Implement Seamless Single Sign-On Enable Microsoft Entra login in for Windows VM in Azure Describe Microsoft Entra Domain Services Implement and configure Microsoft Entra Domain Services Manage Windows Server 2019 in a Microsoft Entra Domain Services environment Create and configure a Microsoft Entra Domain Services instance Join a Windows Server VM to a managed domain 6 - Deploy and manage Azure IaaS Active Directory domain controllers in Azure Select an option to implement directory and identity services using Active Directory Domain Services in Azure Deploy and configure Active Directory Domain Services domain controllers in Azure VMs Install a replica Active Directory domain controller in an Azure VM Install a new Active Directory forest on an Azure VNet 7 - Perform Windows Server secure administration Define least privilege administration Implement delegated privileges Use privileged access workstations Use jump servers 8 - Describe Windows Server administration tools Explore Windows Admin Center Use Server Manager List Remote Server Administration Tools Use Windows PowerShell Use Windows PowerShell to remotely administer a server 9 - Perform post-installation configuration of Windows Server List the available post-installation configuration tools Configure Server Core using Sconfig Use DSC to configure Windows Server Perform post-installation configuration with Windows Admin Center Configure a server with answer files 10 - Just Enough Administration in Windows Server Explain the concept of Just Enough Administration (JEA) Define role capabilities for a JEA endpoint Create a session configuration file to register a JEA endpoint Describe how JEA endpoints work to limit access to a PowerShell session Create and connect to a JEA endpoint Demonstration: Connect to a JEA endpoint 11 - Administer and manage Windows Server IaaS Virtual Machine remotely Select the appropriate remote administration tool Manage Windows Virtual Machines with Azure Bastion Create an Azure Bastion host Configure just-in-time administration 12 - Manage hybrid workloads with Azure Arc Describe Azure Arc Onboard Windows Server instances Connect hybrid machines to Azure from the Azure portal Use Azure Arc to manage Windows Server instances Restrict access with RBAC 13 - Configure and manage Hyper-V Define Hyper-V Define Hyper-V Manager Configure Hyper-V hosts using best practices Configure Hyper-V networking Assess advanced Hyper-V networking features Define nested virtualization 14 - Configure and manage Hyper-V virtual machines List the virtual machine configuration versions List the virtual machine generation versions List available VHD formats and types Create and configure VMs Determine storage options for VMs Define shared VHDs and VHD Sets Implement guest clusters using shared VHDX 15 - Secure Hyper-V workloads Define guarded fabric Define the Host Guardian Service Explore TPM-trusted attestation Define KPS Determine key features of shielded VMs Compare encryption-supported and shielded VMs in a guarded fabric Implement a shielded VM 16 - Run containers on Windows Server Define containers List the differences between containers and VMs Define Windows Server and Hyper-V containers and isolation modes Explore Docker Prepare a Windows Server 2019 host for container deployment Security, Storage, and Networking with Windows containers 17 - Orchestrate containers on Windows Server using Kubernetes Define orchestration Define Kubernetes Deploy Kubernetes resources Create a Kubernetes cluster on Windows Define Azure Arc Connect an Azure Arc-enabled Kubernetes cluster to Azure Arc 18 - Plan and deploy Windows Server IaaS Virtual Machines Describe Azure compute Describe Virtual Machine storage Deploy Azure Virtual Machines Create a windows Virtual Machine using the portal Create a windows Virtual Machine using Azure CLI Deploy Azure Virtual Machines using templates Describe additional management optimization options 19 - Customize Windows Server IaaS Virtual Machine images Create a generalized image Create a new Virtual Machine from a managed image Create a managed image of a generalized virtual machine in Azure Create a Virtual Machine from a managed image Implement Azure Image Builder Create a windows Virtual Machine using Azure Image Builder template Create a Windows Virtual Machine with Azure Image Builder using PowerShell 20 - Automate the configuration of Windows Server IaaS Virtual Machines Describe Azure Automation Implement Azure Automation with DSC Remediate noncompliant servers Describe Custom Script Extensions Configure a Virtual Machine by using DSC 21 - Deploy and manage DHCP Use DHCP to simplify IP configuration Install and configure the DHCP role Configure DHCP options Configure DHCP scopes Select DHCP high availability options Implement DHCP Failover 22 - Implement Windows Server DNS Explore the DNS architecture Work with DNS zones and records Install and configure the DNS role Implement DNS forwarding 23 - Implement IP Address Management Define IP Address Management Deploy IP Address Management Administer IP Address Management Configure IP Address Management options Manage DNS zones with IP Address Management Manage DHCP servers with IP Address Management Use IP Address Management to manage IP addressing 24 - Implement remote access Examine the remote access options in Windows Server Select and set up VPNs Use NPS to create and enforce network access policies Plan and implement NPS Deploy a PKI for remote access Use WAP as a reverse web proxy 25 - Implement hybrid network infrastructure Describe Azure network topologies Implement Azure VPN options Create a route-based VPN gateway using the Azure portal Implement Azure ExpressRoute Configure Azure Virtual WAN Implement DNS in hybrid environments 26 - Implement DNS for Windows Server IaaS VMs Understand Azure DNS Implement Azure DNS Create an Azure DNS zone and record using the Azure portal Implement DNS with Azure IaaS virtual machines Implement split-horizon DNS in Azure Troubleshoot DNS 27 - Implement Windows Server IaaS VM IP addressing and routing Implement a virtual network Implement IaaS VM IP addressing Assign and manage IP addresses Configure a private IP address for a virtual machine using the Azure portal Create a virtual machine with a static public IP address using the Azure portal Implement IaaS virtual machine IP routing Implement IPv6 for Windows Server IaaS virtual machines 28 - Manage Windows Server file servers Define the Windows Server file system List the benefits and uses of File Server Resource Manager Define SMB and its security considerations Configure SMB protocol Define Volume Shadow Copy Service 29 - Implement Storage Spaces and Storage Spaces Direct Define the Storage Spaces architecture and its components List the functionalities, benefits, and use cases of Storage Spaces Implement Storage Spaces List the functionalities, components, benefits, and use cases of Storage Spaces Direct Implement Storage Spaces Direct 30 - Implement Windows Server Data Deduplication Define the architecture, components, and functionality of Data Deduplication Define the use cases and interoperability of Data Deduplication Implement Data Deduplication Manage and maintain Data Deduplication 31 - Implement Windows Server iSCSI List the functionalities, components, and use cases of iSCSI List the considerations for implementing iSCSI Implement iSCSI Configure high availability for iSCSI 32 - Implement Windows Server Storage Replica List the functionalities and components of Storage Replica Examine the prerequisites for implementing Storage Replica Implement Storage Replica by using Windows Admin Center Implement Storage Replica by using Windows PowerShell 33 - Implement a hybrid file server infrastructure Describe Azure File services Configure Azure Files Configure connectivity to Azure Files Describe Azure File Sync Implement Azure File Sync Deploy Azure File Sync Deploy Azure File Sync 2 Manage cloud tiering Migrate from DFSR to Azure File Sync