Common questions include: How do you manage the AI model lifecycle in Power Platform? Explain Copilot integration in Power BI. What automation flows have you built using AI Builder? Describe a scenario where AI enhances business processes. How do you handle ethical considerations in AI models? What challenges arise in no-code AI development?

Technical skills include proficiency in Power Apps, Power Automate, Power BI, Power Virtual Agents, Dataverse, Canvas Apps, Model Driven Apps, Solution Management, Connector Integration, and Environment Governance. Soft skills encompass analytical problem solving, requirement gathering, process mapping, collaboration, and communication with business stakeholders.

Backend engineering teams leverage AI model lifecycles for scalable solutions. Data analytics departments use Copilot in Power BI for rapid insights. Automation specialists in operations apply AI Builder for workflow efficiency. IT consulting firms employ these skills to deliver low-code AI projects, enhancing client productivity and decision-making across digital transformations.

The report offers detailed skill scores on AI lifecycle, Copilot usage, automation, and AI Builder proficiency, with percentile benchmarking against global standards. It highlights strengths and weaknesses, includes proctoring logs for integrity, and recommends development areas, enabling data-driven hiring decisions and personalized training plans for candidates.