Available Exams | Dell Learning

Exam Number: D-AAI-FN-A-00

Available Languages: Chinese Simplified, English, French, Japanese, Korean, Portuguese-Brazilian

Certification Overview

Unlock the power of Agentic AI with a foundational certification designed to equip professionals with the skills to drive meaningful business outcomes using Dell’s AI Factory and advanced technologies. This credential validates essential knowledge in Agentic AI concepts, best practices, and real-world applications—making it ideal for junior AI developers, product analysts, startup founders, and business users exploring automation and intelligent solutions. Whether you're building platforms or designing use cases, this achievement serves as your gateway to confidently navigating the future of AI innovation.

Target Audience

Associate Sales Engineers; Cloud Architects; Cloud Consultants; Cloud Product Leads/Managers; Pre-Sales Engineers; Pre-Sales Solution Architects; Product Specialists; Systems Engineers; Technical Consultants; Technical Pre-Sales Representatives; Technical Sales Representatives

Your Journey Begins Here!

Step 1 – Topics: Identify training plan and review course topics

Step 2 – Training: Complete any recommended Training

Step 3 – Exam Preparation: Study training materials and complete practice exams

Step 4 – Exam Voucher: Request digital exam vouchers

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Step 6 – Recognition: Recognize accomplishments with your Digital Badge

Practice First, Certify Next

Practice tests are unproctored web based exams. Practice tests are not available for Achievements.

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Achievement exams are web based. Skills certification Exams are proctored exams administered though Pearson Vue testing centers and OnVUE.

Exam Topics

The table below lists the topics that are included in this exam, and the approximate percentage of the exam devoted to each topic.

Category	Topics	Coverage
Concepts of Agentic AI and Agent Architectures	Define Agentic AI and compare it with other AI categories and automation processes State the different forms of Agentic AI Recognize scenarios where Agentic AI adds value Show the primary components of an agent and how they interact to create a system Recognize frameworks available for different Agentic scenarios Define multi-agent systems	40%
Agents' Perceptions and Interactions	Explain concepts of "perception" in AI Agents and explain how agents receive and interpret inputs Identify limitations in perception and context-awareness	18%
Learning in Agents	Describe the process of learning Explain how feedback loops improve future agent behavior	18%
Ethics, Safety, and Compliance	Identify ethical risks in Agentic AI systems Explain the function of safety mechanisms and guardrails Assess compliance requirements for AI agents	24%

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