AI & Machine Learning
The skills a AI & Machine Learning assessment can cover, how the assessment runs, and a sample question to try.
Skills covered
Candidates declare the skills they have, and each sitting is generated for their target role and those skills. These are skills from this field that an assessment can cover.
- Machine Learning
- Deep Learning
- Natural Language Processing
- Large Language Models
- Prompt Engineering
- Retrieval-Augmented Generation
- Feature Engineering
- Model Evaluation
- MLOps
- Responsible AI
Sample question
A model performs very well on its training data but poorly on new data. What is the most likely problem?
- AUnderfitting
- BThe test data is too large
- COverfitting
- DThe model has too few parameters to learn anything
Show the answer
C. Overfitting
An overfitted model has learned the quirks of its training data rather than the general pattern, so it fails to carry that performance over to data it has not seen.
A sample only. Real questions are generated fresh for each sitting, so this exact question will not appear.
What the assessment looks like
A 25-question skills test and a 7-question text interview, about 50 minutes in total.
Sections
- Multiple-choice questions12 questions
- Scenario questions8 questions
- Written case questions5 questions
- AI text interview questions7 questions
- Total time
- About 50 minutes
- Score validity
- Your verified score stays valid for 90 days.
- Retakes
- One free early retake every 90 days; Premium adds a second.
Look around first. You can browse jobs and save the ones you like before taking the assessment. Saving a job doesn’t require it; applying does.