Internet of Things IoT App modernization Design a modernization plan to move services from on-premises to the cloud by leveraging cloud, web, and mobile services, secured by Azure Active Directory.
Azure Stack Design a hybrid cloud architecture using a combination of the Azure public cloud and Azure Stack. Recommend the appropriate hybrid cloud systems based on customer requirements. Big Data and visualization Build a complete machine learning model in Azure Databricks and deploy a web app for predicting flight delay. Train the model to report data. Business continuity and disaster recovery Design solutions for three customer environments using Azure business continuity and disaster recovery BCDR technologies to build more complex and robust BCDR plans.
Cognitive Services and Deep Learning Combine pre-built AI models with custom AI services to create intelligent solutions atop unstructured text data by designing and implementing a text analytics pipeline.
Cloud-native applications Using DevOps best practices, build a proof of concept to transform a PaaS application to a container-based application with multi-tenant web app hosting.
Use Azure Databricks Delta with a modern data warehouse to reduce risk. Data Platform upgrade and migration Conduct a site analysis for a customer to compare cost, performance, and level of effort required to migrate from Oracle to SQL Server. Enterprise-class networking in Azure Set up, configure, plan, and design secure virtual networks in Azure with multiple subnets to filter and control network traffic. Enterprise-ready cloud Design a governance plan for a manufacturing company to showcase the security and governance features of Azure and control costs.
High Performance Computing Set up and configure a scale-out media processing architecture using Azure Batch. Intelligent analytics Employ real-time analytics without IoT as you enable intelligent conversation in a real-time chat pipeline enabled by machine learning to visualize customer sentiment. Line-of-business application migration Design a migration strategy for both Windows and Linux servers, including virtual and physical services, as well as databases, from on-premises to Azure.
Machine Learning NEW! Combine Azure Databricks with Azure Machine Learning service to build, train, and deploy machine learning and deep learning models. Microservices architecture Design scalable microservices solutions using Service Fabric and Azure Functions to optimize the architecture to handle traffic spikes for an online ticket vendor. Learn to design and implement end-to-end solutions that fully operationalize deep learning models from model creation, application packaging, model deployment and application deployment in one unified repeatable, pipeline.
Learn advanced features of the managed PostgreSQL PaaS service to design a highly scalable, managed open source database solution able to handle the rapid ingest of streaming data, while generating and serving pre-aggregated data.
Design a resilient stream processing pipeline and create complex reports to build a customizable dashboard updated in real-time. Learn to architect a comprehensive oil and gas manufacturing IoT solution that is secured end-to-end following best practices. Provide guidance to your customer on defining lifecycles from deployment, maintenance, planned obsolescence, and decommissioning of devices and how Azure supports this.
Security baseline on Azure Implement Azure Security Center and Microsoft Compliance Manager to ensure a secure and privacy-focused cloud-based architecture that follows compliance standards. Serverless architecture Implement a series of Azure Functions that independently scale and break down business logic to discrete components, allowing customers to pay only for the services they use.
SQL Server hybrid cloud Design a hybrid disaster recovery solution with SQL Server scale-out to help a media company handle spikes in load, encrypt data, and implement an archival strategy. Windows Server and SQL Server R2 end of support planning Develop and evaluate migration plans to move workloads to Azure while keeping mission-critical apps and data protected during transition and modernization.
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