Available Exams | Dell Learning

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

Available Languages: English, French

Certification Overview

Prompt Engineering is crucial in the process of achieving the desired outcomes using GenAI. This achievement targets individuals seeking basic knowledge and skills in prompt engineering.

Target Audience

Associate Sales Engineers; Cloud Consultants; Cloud Product Leads/Managers; Pre-Sales Engineers; Pre-Sales Solution Architects; Solution Architects; 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

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
AI and NLP Fundamentals	Describe Generative AI, LLM and Neural Networks Identify the strengths and limitations of different AI models in the context of prompt engineering Explain what are GPTs and their significance Explain what are prompts and prompt Engineering	10%
Legal and Compliance Requirements	Discuss legal frameworks in the context of prompts Explain the ethical and legal implications that should be considered during prompt development	8%
Introduction to prompt structure and formatting	Discuss components of a basic prompt Explain the process of constructing a basic prompt Discuss prompts cycle: write- refine-test- iterate Discuss common Issues while using LLM	38%
Prompt Engineering Techniques	Explain Zero-shot and few-shot prompting basics Describe the process of zero-shot prompting and explain how AI models can generate responses without provided examples Explain how few-shot prompting uses provided examples to influence the output style of AI models Explore role-based and system instruction techniques List best practices for clear and effective prompts Describe chain of thoughts	28%
Professional Practices for Prompt Engineers	Explain how incorporating relevant context and metadata within prompts can improve performance Explain the key considerations for creating effective prompts across different modalities, such as text, image, and code generation Describe the purpose and components of prompt templates and how they contribute to reusable and consistent prompt creation	16%

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Prompt Engineering