Outcomes, skills and competencies measured by this certification exam include: Exam 1: deploy Windows; manage devices and data; configure connectivity; and maintain Windows. Exam 2: implement Modern Device Services; manage device compliance; plan for devices and apps; plan Windows 10 deployment; implement Cloud App Security (CAS); implement threat management; implement Windows Defender Advanced Threat Protection (ATP); manage security reports and alerts; configure Data Loss Prevention (DLP); implement Azure Information Protection (AIP); manage data governance; manage auditing; and manage eDiscovery.

Outcomes, skills and competencies measured by this certification exam include: Exam 1: configure and manage SharePoint Online; configure and manage OneDrive for Business; configure and manage Teams; configure and manage workload integrations; manage stream capabilities; and integrate M365 workloads with external data and systems. Exam 2: configure and manage SharePoint on-premises; configure and manage hybrid scenarios; and migrate to SharePoint Online. Exam 3: All of the outcomes, skills and competencies for exam 1 and 2.

Outcomes, skills and competencies measured by this certification include: develop Azure compute solutions, develop for Azure storage, implement Azure security, monitor, troubleshoot, and optimize Azure solutions, connect to and consume Azure services and third-party services.

1. Outcomes, skills and competencies measured by this certification exam include: deploy and configure infrastructure; implement workloads and security; create and deploy apps; implement authentication and secure data; develop for the cloud. 2. Outcomes, skills and competencies measured by this certification exam include: determine workload requirements; design for identity and security; design a data platform solution; design a business continuity strategy; design for deployment, migration, and integration; design an infrastructure strategy.

Outcomes, skills and competencies measured by this certification exam include: Exam 1: implement data storage solutions; implement No-SQL databases; implement Azure SQL database; implement hybrid data scenarios; manage Azure DevOps Pipelines; implement big data environments; develop batch processing solutions; develop streaming solutions and integration solutions; implement data migration; automate data factory pipelines; manage source data access security; configure authentication and authorization; manage and enforce data policies and standards; set up notifications; monitor data storage, databases for a specified scenario and data processing; manage optimization and business continuity. Exam 2: design an Azure Data solution, Azure Cloud data warehouses, No-SQL Databases, Azure SQL database, and hybrid data scenarios; design batch processing solutions, big data real-time processing solutions, integration solutions, source data access security, security for data policies and standards, and a data retention policy; design for optimization; design and implement a disaster recovery strategy and design for high availability. 

Outcomes, skills and competencies measured by this certification exam include: configure Azure Active Directory for workloads, configure Azure AD Privileged Identity Management, configure Azure tenant security, implement network security, implement host security, configure container security, implement Azure Resource management security, configure security services, configure security policies, manage security alerts, configure security policies to manage data, configure security for data infrastructure, configure encryption for data at rest, implement security for application delivery, configure application security, configure and manage Key Vault.

Outcomes, skills and competencies measured by this certification exam include: Exam 1: create and validate documentation; perform continuous collaboration with customer; create and configure Apps and templates; create and manage processes; modify an existing data model; import, export and manage data; configure security in Office 365; configure security settings, Outlook add-in, and email integration; Integrate with Office 365; create, configure and maintain Microsoft Flows, manage environments, solutions and applications; and perform system administration and quality assurance. Exam 2: configure general settings, product and service pricing, and bookable resources; integrate other tools with Field Service; describe the work order lifecycle; create and manage work orders, and manage incidents; manage scheduling options; implement the schedule board and the Schedule Assistant; configure Resource Scheduling Optimization (RSO) and Universal Resource Scheduling; install and configure the mobile app and manage mobile projects; manage inventory and purchasing and product returns; create and manage agreements and customer assets.

Outcomes, skills and competencies measured by this certification exam include: Exam 1: identify common Microsoft Dynamics 365 Finance and Operations features and functionality; implement Lifecycle Services (LCS) tools; implement security; design and create workflows; configure options; implement business processes for the solution; plan a migration strategy; and prepare data for migration and migrate data; implement and validate the solution and support Application Lifecycle Management (ALM) by using LCS. Exam 2: implement and test the production control module; configure and manage a product configuration model; create common components of production and lean orders; manage scheduling and subcontracting; perform production batch order lifecycle; manage and maintain formulas; and configure and manage manufacturing executions.

Outcomes, skills and competencies measured by this certification exam include: Exam 1: create and validate documentation; perform continuous collaboration with customer; create and configure Apps and templates; create and manage processes; modify an existing data model; import, export and manage data; configure security in Office 365; configure security settings, Outlook add-in, and email integration; Integrate with Office 365; create, configure and maintain Microsoft Flows. manage environments, solutions and applications; and perform system administration and quality assurance. Exam 2: configure marketing settings; create and manage segments and subscription centers and lists; create marketing forms; create and manage marketing pages; create and manage leads; create and assess sales readiness; create email messages; publish and manage email messages; create, publish and manage customer journeys; create and manage events and webinars; create and manage surveys and survey responses; an manage customer insights. 

Outcomes, skills and competencies measured by this certification exam include: manage Azure subscriptions and resources, implement and manage storage, deploy and manage virtual machines (VMs), configure and manage virtual networks, and manage identities; evaluate and perform server migration to Azure; implement and manage application services; implement advanced virtual networking; and secure identities.

Outcomes, skills and competencies measured by this certification exam include: develop for an Azure cloud model implement cloud integration solutions; and develop AI and IoT solutions.

Outcomes, skills and competencies measured by this certification exam include: determine workload requirements, design for identity and security, design a business continuity strategy, implement workloads and security, implement authentication and secure data, develop for the cloud. 

Outcomes, skills and competencies measured by this certification include: develop Azure compute solutions, develop for Azure storage, implement Azure security, monitor, troubleshoot, and optimize Azure solutions, connect to and consume Azure services and third-party services.

Upon successful completion of the certificate program, students will be able to: describe how machine learning provides the foundation for artificial intelligence; leverage cognitive services in developing applications; build and derive insights using machine learning models in problem spaces such as classification, regression, and clustering; solve image classification problem using deep learning models such as convolution neural network (CNN); forecast time series data and process sequential data using deep learning models such as recurrent neural network (RNN) and long short term memory (LSTM); frame reinforcement learning problems and solve using algorithms such as dynamic programming, temporal difference learning, deep ‘Q’ learning, policy gradient and actor-critic; apply classical image analysis techniques, such as  edge detection,  watershed and distance transformation as well as K-means clustering to segment a basic dataset; apply deep learning models to solve machine translation and conversation problems; and compete and solve a real-world artificial intelligence challenge. 

Upon successful completion of the course, students will be able to: explain the fundamentals of cloud administration; provision and manage virtual machines; implement a cloud network infrastructure; manage cloud directory services; implement and manage cloud storage; deploy and manage cloud application services; provision, configure, and manage cloud database services; secure and manage compliance of cloud resources; automate cloud workloads; and migrate infrastructure as a service workloads.

Upon successful completion of the course, students will be able to: get started with data analysis; analyze data using statistics; create basic data visualizations; pivot and manipulate data; query relational data; build descriptive analytics models and visualizations; communicate data insights; apply data analysis methods in context of organizational and industry-specific scenarios.

Upon successful completion of the course, students will be able to: describe DevOps practices and principles; implement infrastructure as code; implement continuous integration and continuous deployment; implement configuration management; implement testing in continuous delivery pipelines; integrate databases in continuous delivery environments; monitor applications; and architect apps in DevOps environments.

Upon successful completion of the course, students will be able to: explain the fundamentals of web development; create a basic web application; build dynamic web apps; simplify user interface management; build a web user interface; build a responsive web user interface; build a dynamic web user interface; simplify and manage data binding; build a complex single-page application; create web apps with high availability and scale; and manage web application projects.