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Duration 4 Days 24 CPD hours This course is intended for This course is for the Identity and Access Administrators who are planning to take the associated certification exam, or who are performing identity and access administration tasks in their day-to-day job. This course would also be helpful to an administrator or engineer that wants to specialize in providing identity solutions and access management systems for Azure-based solutions; playing an integral role in protecting an organization. The Microsoft Identity and Access Administrator course explores how to design, implement, and operate an organization?s identity and access management systems by using Microsoft Entra ID. Learn to manage tasks such as providing secure authentication and authorization access to enterprise applications. You will also learn to provide seamless experiences and self-service management capabilities for all users. Finally, learn to create adaptive access and governance of your identity and access management solutions ensuring you can troubleshoot, monitor, and report on your environment. The Identity and Access Administrator may be a single individual or a member of a larger team. Learn how this role collaborates with many other roles in the organization to drive strategic identity projects. The end goal is to provide you knowledge to modernize identity solutions, to implement hybrid identity solutions, and to implement identity governance. Prerequisites SC-900T00: Microsoft Security, Compliance, and Identity Fundamentals AZ-104T00 - Microsoft Azure Administrator 1 - Explore identity in Microsoft Entra ID Explain the identity landscape Explore zero trust with identity Discuss identity as a control plane Explore why we have identity Define identity administration Contrast decentralized identity with central identity systems Discuss identity management solutions Explain Microsoft Entra Business to Business Compare Microsoft identity providers Define identity licensing Explore authentication Discuss authorization Explain auditing in identity 2 - Implement initial configuration of Microsoft Entra ID Configure company brand Configure and manage Microsoft Entra roles Configure delegation by using administrative units Analyze Microsoft Entra role permissions Configure and manage custom domains Configure tenant-wide setting 3 - Create, configure, and manage identities Create, configure, and manage users Create, configure, and manage groups Configure and manage device registration Manage licenses Create custom security attributes Explore automatic user creation 4 - Implement and manage external identities Describe guest access and Business to Business accounts Manage external collaboration Invite external users - individually and in bulk Demo - manage guest users in Microsoft Entra ID Manage external user accounts in Microsoft Entra ID Manage external users in Microsoft 365 workloads Implement and manage Microsoft Entra Verified ID Configure identity providers Implement cross-tenant access controls 5 - Implement and manage hybrid identity Plan, design, and implement Microsoft Entra Connect Implement manage password hash synchronization (PHS) Implement manage pass-through authentication (PTA) Demo - Manage pass-through authentication and seamless single sign-on (SSO) Implement and manage federation Trouble-shoot synchronization errors Implement Microsoft Entra Connect Health Manage Microsoft Entra Health 6 - Secure Microsoft Entra users with multifactor authentication What is Microsoft Entra multifactor authentication? Plan your multifactor authentication deployment Configure multi-factor authentication methods 7 - Manage user authentication Administer FIDO2 and passwordless authentication methods Explore Authenticator app and OATH tokens Implement an authentication solution based on Windows Hello for Business Deploy and manage password protection Configure smart lockout thresholds Implement Kerberos and certificate-based authentication in Microsoft Entra ID Configure Microsoft Entra user authentication for virtual machines 8 - Plan, implement, and administer Conditional Access Plan security defaults Plan Conditional Access policies Implement Conditional Access policy controls and assignments Test and troubleshoot Conditional Access policies Implement application controls Implement session management Implement continuous access evaluation 9 - Manage Microsoft Entra Identity Protection Review identity protection basics Implement and manage user risk policy Monitor, investigate, and remediate elevated risky users Implement security for workload identities Explore Microsoft Defender for Identity 10 - Implement access management for Azure resources Assign Azure roles Configure custom Azure roles Create and configure managed identities Access Azure resources with managed identities Analyze Azure role permissions Configure Azure Key Vault RBAC policies Retrieve objects from Azure Key Vault Explore Microsoft Entra Permissions Management 11 - Plan and design the integration of enterprise apps for SSO Discover apps by using Microsoft Defender for Cloud Apps and Active Directory Federation Services app report Configure connectors to apps Design and implement app management roles Configure preintegrated gallery SaaS apps Implement and manage policies for OAuth apps 12 - Implement and monitor the integration of enterprise apps for SSO Implement token customizations Implement and configure consent settings Integrate on-premises apps with Microsoft Entra application proxy Integrate custom SaaS apps for single sign-on Implement application-based user provisioning Monitor and audit access to Microsoft Entra integrated enterprise applications Create and manage application collections 13 - Implement app registration Plan your line of business application registration strategy Implement application registration Register an application Configure permission for an application Grant tenant-wide admin consent to applications Implement application authorization Manage and monitor application by using app governance 14 - Plan and implement entitlement management Define access packages Configure entitlement management Configure and manage connected organizations Review per-user entitlements 15 - Plan, implement, and manage access review Plan for access reviews Create access reviews for groups and apps Create and configure access review programs Monitor access review findings Automate access review management tasks Configure recurring access reviews 16 - Plan and implement privileged access Define a privileged access strategy for administrative users Configure Privileged Identity Management for Azure resources Plan and configure Privileged Access Groups Analyze Privileged Identity Management audit history and reports Create and manage emergency access accounts 17 - Monitor and maintain Microsoft Entra ID Analyze and investigate sign-in logs to troubleshoot access issues Review and monitor Microsoft Entra audit logs Export logs to third-party security information and event management system Analyze Microsoft Entra workbooks and reporting Monitor security posture with Identity Secure Score

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Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure. In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage. Prerequisites Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Introduction to data engineering on Azure What is data engineering Important data engineering concepts Data engineering in Microsoft Azure 2 - Introduction to Azure Data Lake Storage Gen2 Understand Azure Data Lake Storage Gen2 Enable Azure Data Lake Storage Gen2 in Azure Storage Compare Azure Data Lake Store to Azure Blob storage Understand the stages for processing big data Use Azure Data Lake Storage Gen2 in data analytics workloads 3 - Introduction to Azure Synapse Analytics What is Azure Synapse Analytics How Azure Synapse Analytics works When to use Azure Synapse Analytics 4 - Use Azure Synapse serverless SQL pool to query files in a data lake Understand Azure Synapse serverless SQL pool capabilities and use cases Query files using a serverless SQL pool Create external database objects 5 - Use Azure Synapse serverless SQL pools to transform data in a data lake Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement Encapsulate data transformations in a stored procedure Include a data transformation stored procedure in a pipeline 6 - Create a lake database in Azure Synapse Analytics Understand lake database concepts Explore database templates Create a lake database Use a lake database 7 - Analyze data with Apache Spark in Azure Synapse Analytics Get to know Apache Spark Use Spark in Azure Synapse Analytics Analyze data with Spark Visualize data with Spark 8 - Transform data with Spark in Azure Synapse Analytics Modify and save dataframes Partition data files Transform data with SQL 9 - Use Delta Lake in Azure Synapse Analytics Understand Delta Lake Create Delta Lake tables Create catalog tables Use Delta Lake with streaming data Use Delta Lake in a SQL pool 10 - Analyze data in a relational data warehouse Design a data warehouse schema Create data warehouse tables Load data warehouse tables Query a data warehouse 11 - Load data into a relational data warehouse Load staging tables Load dimension tables Load time dimension tables Load slowly changing dimensions Load fact tables Perform post load optimization 12 - Build a data pipeline in Azure Synapse Analytics Understand pipelines in Azure Synapse Analytics Create a pipeline in Azure Synapse Studio Define data flows Run a pipeline 13 - Use Spark Notebooks in an Azure Synapse Pipeline Understand Synapse Notebooks and Pipelines Use a Synapse notebook activity in a pipeline Use parameters in a notebook 14 - Plan hybrid transactional and analytical processing using Azure Synapse Analytics Understand hybrid transactional and analytical processing patterns Describe Azure Synapse Link 15 - Implement Azure Synapse Link with Azure Cosmos DB Enable Cosmos DB account to use Azure Synapse Link Create an analytical store enabled container Create a linked service for Cosmos DB Query Cosmos DB data with Spark Query Cosmos DB with Synapse SQL 16 - Implement Azure Synapse Link for SQL What is Azure Synapse Link for SQL? Configure Azure Synapse Link for Azure SQL Database Configure Azure Synapse Link for SQL Server 2022 17 - Get started with Azure Stream Analytics Understand data streams Understand event processing Understand window functions 18 - Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics Stream ingestion scenarios Configure inputs and outputs Define a query to select, filter, and aggregate data Run a job to ingest data 19 - Visualize real-time data with Azure Stream Analytics and Power BI Use a Power BI output in Azure Stream Analytics Create a query for real-time visualization Create real-time data visualizations in Power BI 20 - Introduction to Microsoft Purview What is Microsoft Purview? How Microsoft Purview works When to use Microsoft Purview 21 - Integrate Microsoft Purview and Azure Synapse Analytics Catalog Azure Synapse Analytics data assets in Microsoft Purview Connect Microsoft Purview to an Azure Synapse Analytics workspace Search a Purview catalog in Synapse Studio Track data lineage in pipelines 22 - Explore Azure Databricks Get started with Azure Databricks Identify Azure Databricks workloads Understand key concepts 23 - Use Apache Spark in Azure Databricks Get to know Spark Create a Spark cluster Use Spark in notebooks Use Spark to work with data files Visualize data 24 - Run Azure Databricks Notebooks with Azure Data Factory Understand Azure Databricks notebooks and pipelines Create a linked service for Azure Databricks Use a Notebook activity in a pipeline Use parameters in a notebook Additional course details: Nexus Humans DP-203T00 Data Engineering on Microsoft Azure 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-203T00 Data Engineering on Microsoft Azure 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.

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