HomeMachine Learning Tests
Generative AI Assessment
Test duration:
60
min
No. of questions:
37
Level of experience:
Entry Level/Mid/Senior

Generative AI Assessment

This test is designed to assess the Generative AI skills of candidates and employees. This assessment allows recruiters or managers to effectively evaluate individuals' ability in generative AI.

The AI file icon represents a vector graphic file format often used for creating illustrations and designs.
Capgemini
Deloitte
The United Nations
The United Nations
Fujitsu
The United Nations

What is Generative AI?

Generative AI is a very useful tool which mostly helps to improve both your general and academic English. Generative AI Assessment can be used to check the correctness of your written or spoken work, it can further give feedback on your English language, as a tool it can also help you develop your understanding of grammar and improve your vocabulary range. Generative AI or generative artificial intelligence refers to the use of AI to create new content, like text, images, music, audio, and videos, etc.

Why Choose the iMocha Generative AI Assessment Skills Test

This test is a valuable tool to evaluate various aspects of Generative AI Assessment skills, including:

  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Critical Thinking
  • Problem-Solving

By using iMocha's Generative AI Assessment online test, you can gain insights into candidates' or employees' potential for generative AI abilities that match the organization's needs.

Wondering what other skills we have in our World’s Largest Skills Assessment library?
Visit here
How it works

Test Summary

It covers a wide range of skills and traits essential for Generative AI Assessment, including:

  • Skills in developing an interacting AI chatbots at various levels
  • Understanding how to apply generative AI in various industries & use cases
  • Knowledge of ethical AI practices to ensure the correct use of the technology
  • Experience in optimizing AI models and improving their efficiency
  • Ability to craft effective prompts for AI models to generate desired outputs
Useful for hiring
  • AI Prompt Engineer
  • Generative Design Specialist
  • AI Input and Output Manager
  • AI Maintenance Engineer
  • AI Trainer
  • AI Content Reviewer / Auditor / Manager
  • AI Compliance Manager
Test Duration
60
min
No. of Questions
37
Level of Expertise
Entry Level/Mid/Senior
Topics Covered
Shuffle

Shuffle

Shuffle

Shuffle

Shuffle

Sample Question
Choose from our 100,000+ questions library or add your own questions to make powerful custom tests.
Question type
Topics covered
Difficulty

Question:

A helicopter view of the employee's progress
Test Report
You can customize this test by

Setting the difficulty level of the test

Choose easy, medium, or tricky questions from our skill libraries to assess candidates of different experience levels.

Combining multiple skills into one test

Add multiple skills in a single test to create an effective assessment and assess multiple skills together.

Adding your own
questions to the test

Add, edit, or bulk upload your coding, MCQ, and whiteboard questions.

Requesting a tailor-made test

Receive a tailored assessment created by our subject matter experts to ensure adequate screening.
FAQ
How is this skill test customized?
Down Arrow Circle

With iMocha, you can customize your Generative AI Assessment skills test easily for parameters like:    

  • Difficulty level: easy, medium, or hard  
  • Test focus: skill-specific or multiple skills tests  
  • Questions included: using pre-designed tests or adding your questions.  
  • Job role-based custom assessments: If you require custom assessments that precisely fit specific job roles, the iMocha team will create them to meet your organizational needs.  
What are the most common interview questions related to Generative AI Assessment?
Down Arrow Circle

The most common questions asked during this test are:  

  1. What is the main significant goal of Generative AI Assessment?
  2. What is the difference between a generative model and a discriminative model according to you?
  3. What are Large Language Models (LLMs) and how do they work?
  4. Can you explain what General AI is, and how can it differ from Narrow AI?
  5. What are the major sectors that are impacted by AI?
  6. What is Generative AI and how typically it been used in various industries?
What are the skillsets required for a Generative AI?
Down Arrow Circle

The following are the skills to consider for this job role.  
 
Hard Skills:  

  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Programming Languages
  • Data Analysis

Soft Skills:  

  • Problem-Solving
  • Critical Thinking
  • Communication  
  • Collaboration
  • Adaptability