Available Exams | Dell Learning

Exam Number: D-AIS-F-A-00

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

Certification Overview

The Dell AI Security exam validates a candidate’s foundational understanding of core concepts, terminology, and considerations involved in securing AI systems throughout their lifecycle. This includes everything from data collection and model training to deployment, monitoring, and recovery. Candidates will have a solid understanding of how sensitive data is used in AI, the importance of privacy‑by‑design principles, what AI security controls are and standard methods for mitigating risks and threats. The exam also covers common AI‑specific threats, such as adversarial attacks, model inversion, prompt injection, data poisoning, and model manipulation. In addition, candidates gain awareness of the safeguards that help protect AI environments, including access management, threat detection, and incident response practices. By earning this achievement, professionals prove they have the foundational knowledge to be able to identify the importance AI security for their company, maintain system integrity, and understand the evolving landscape AI‑driven security.

Target Audience

Cloud Architects; Cloud Consultants; Data Protection Consultants; DevOps Engineers; Infrastructure Administrators; Pre-Sales Solution Architects; Product Specialists; Solution Architects; Systems Engineers; Technical Consultants

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

Step 5 – Schedule: Schedule exam using exam voucher code

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.

Ready to Certify? Plan Your Exam Experience

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
Introduction to AI Security	Understand AI & Security Terminology Understand fundamental data security and privacy requirements for AI systems Describe security concerns with AI Understand the companies' data and application classification Understand the difference in securing AI and any other applications Explain basic principles of AI ethics and their impact on security practices. Understand types of AI security threats based on provided examples or scenarios. Identify the appropriate course of action to mitigate security threats	26%
Reduce the Attack Surfaces	Planning and strategies for reducing the attacks Identify the key security risks and privacy concerns associated with AI workflow/Ecosystem-Data, model, infrastructure/pipelines Identify the common model behavior/vulnerabilities that exist within the models Identify essential AI security controls to protect AI applications Describe standard methods for mitigating risks/privacy issues for AI environments	26%
Detect and Respond to Cyber Attacks	Planning and strategies for detecting and responding Detect common AI-specific threats that target AI applications How to detect common AI specific threats Respond to AI-specific security incidents Monitor and Detect AI System Misuse	24%
Recover from Cyberattack	Planning and strategies for recovering the cyberattack Leverage their Incident Management Plans Isolate/quarantine Incident Recovery and Troubleshooting Perform forensic investigation to identify root cause Recommendations	24%

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AI Security