Candidates for this exam should have subject matter expertise implementing the configuration and coding tasks required to create and maintain the cloud and edge portions of an IoT solution.

Candidates for this exam should have a general understanding of device types and Azure services, including data storage options, data analysis, data processing, AI, and other platform as a service (PaaS) options. They must be able to program in at least one Azure IoT software development kit–supported (SDK–supported) language.

Digital is reshaping how we live, work, and play. Leading organizations today are reinventing their core business while reimagining how they can transform their digital platform, culture, and approach to achieve their business outcomes.

Realizing the benefits of digital transformation requires business leaders to look beyond technology. They need to reimagine existing business models and embrace different ways of bringing together people, data, and processes to create value for customers and maintain a competitive advantage for their organizations.

Digital transformation is about reimagining how you bring together people, data, and processes to create value for your customers and maintain a competitive advantage in a digital-first world.

Microsoft uses the term digital feedback loop as a framework to describe how digital transformation is enabled.

The digital feedback loop takes data endpoints or signals from new software-infused sources, and then brings them together to gain insights that drive continuous innovation. The intelligent edge then multiplies the available data points to bring in and enhance the information available to the digital feedback loop. Dynamics 365 uses the digital feedback loop by picking up telemetry data from multiple sources, including external sources.

Dynamics 365 and Power Platform then analyze the telemetry to create business insights. For example, you can train AI to review data collected from IoT enabled equipment and develop preventative maintenance schedules and improved manufacturing processes. You can then further apply the insights to help better qualify sales leads and identify marketing prospects.