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CompTIA AI Prompt+ Practice Tests with 250+ questions
Rating: 4.8 out of 5(2 ratings)
88 students

CompTIA AI Prompt+ Practice Tests with 250+ questions

Master AI Concepts, Prompt Engineering, and Responsible AI with Realistic Practice Tests and Exam-Ready Scenarios
Last updated 6/2025
English

What you'll learn

  • Develop a foundational understanding of AI, machine learning, neural networks, large language models, and key terminology relevant to prompt engineering.
  • Learn to design, structure, and evaluate effective prompts for various AI models, including handling context, constraints, and mitigating hallucinations or bias
  • Gain the ability to identify and implement AI-driven solutions in domains such as healthcare, cybersecurity, education, and software development.
  • Understand key frameworks, ethical principles, regulatory requirements, and security strategies necessary for responsible and safe AI deployment.

Included in This Course

440 questions
  • Practice Exam 1 | More than 150 questions152 questions
  • Practice Exam 2 | More than 70 questions72 questions
  • Practice Exam 3 | More than 75 questions78 questions
  • Practice Exam 4 | More than 40 questions42 questions
  • Practice Exam 5 | More than 90 questions96 questions

Description

Disclosure: This course contains the use of artificial intelligence.


The CompTIA AI Prompt+ Practice Tests course is your ultimate companion for mastering the concepts and skills required to excel in the CompTIA AI Prompt+ certification exam. Designed for beginners and professionals alike, this course provides a robust foundation in artificial intelligence, prompt engineering, responsible AI governance, and practical applications across key industries.

Course Outline:

Practice Exam 1 (150+ Questions):

  • Build a rock-solid foundation in artificial intelligence!

  • Understand and differentiate Narrow, General, and Superintelligent AI.

  • Explore the differences between AI, machine learning, and deep learning.

  • Get hands-on with LLMs, neural networks, and natural language processing (NLP) basics.

  • Master core concepts: tokens, parameters, accuracy, bias, hallucination, ground truth.

  • Compare supervised, unsupervised, reinforcement, federated, multimodal, and synthetic data training methods.

  • Analyze model outputs, performance metrics, and ethical challenges like explainability and human-in-the-loop design.

Practice Exam 2 (70+ Questions):

  • Become a prompt engineering specialist!

  • Dissect the anatomy of effective prompts.

  • Compare system prompts, user prompts, and completions.

  • Apply advanced prompt tuning (temperature, top-p, output constraints).

  • Practice with instruction-based, zero-shot, few-shot, and chain-of-thought prompting.

  • Identify and mitigate security risks like prompt injection, troubleshoot outputs, and red-team your prompts.

Practice Exam 3 (75+ Questions):

  • Advance to complex, real-world prompting scenarios!

  • Leverage context enrichment, stepwise reasoning, and self-reflective prompting.

  • Employ advanced strategies like Tree of Thoughts and ReAct prompting.

  • Solve tasks in summarization, data extraction, translation, code generation, and creative writing.

  • Evaluate prompts for relevance, coherence, and correctness—iteratively refining your approach.

Practice Exam 4 (40+ Questions):

  • Specialize in industry and multimodal use cases!

  • Tackle AI applications in healthcare, legal, education, marketing, cybersecurity, and software development.

  • Structure safe, inclusive, and specialized prompts for each sector.

  • Work with text + image prompts and vision-language models

  • Optimize for API usage, manage rate limits, and reduce cost.

Practice Exam 5 (90+ Questions):

  • Master AI governance, compliance, and risk management!

  • Assess risks, monitor compliance, and understand audit triggers in AI systems.

  • Apply assurance frameworks, impact assessments, and performance monitoring.

  • Identify and mitigate data leaks, enforce robustness, and ensure global human rights.

  • Deep-dive into global AI regulations (EU AI Act, U.S. Executive Order 14110, NIST AI RMF, OECD/UNESCO/Singapore frameworks, ISO/IEC 42001).

Exam Syllabus:

  • Core artificial intelligence concepts and terminology

  • Foundations of prompt engineering and prompt design

  • Advanced prompting strategies and troubleshooting techniques

  • Real-world applications of AI and prompt engineering across domains (healthcare, legal, education, cybersecurity, etc.)

  • Use of APIs and integration of multimodal inputs (text, image, vision + language)

  • Responsible AI governance, risk management, and compliance

  • Security best practices, including data leak prevention and adversarial attack mitigation

  • International AI policies, frameworks, and ethical principles


Exam Pattern:
Practice tests are scenario-based and multi-format, including multiple-choice, multi-select, and true/false questions. Each question is designed to mirror the actual exam’s structure, difficulty, and domain focus. Detailed explanations and answer keys help reinforce understanding and improve exam readiness.

Prepare confidently with realistic simulations, structured content, and expert guidance—setting you up for success on the CompTIA AI Prompt+ certification exam!

Who this course is for:

  • Aspiring candidates preparing for the CompTIA AI Prompt+ certification exam
  • IT professionals seeking to validate their AI and prompt engineering skills
  • Students interested in building foundational knowledge of AI concepts
  • Tech enthusiasts and self-learners exploring practical AI applications
  • Educators and trainers who want to assess or reinforce AI-related knowledge
  • Beginners and experienced individuals looking for realistic exam practice and detailed explanations