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Spark Certified AI Foundations
Validates a clear understanding of core AI and machine learning concepts, data, evaluation and responsible use.
Duration
30 minutes
Questions
10
Passing score
70%
Attempts
3 allowed
Overview
Validates a clear understanding of core AI and machine learning concepts, data, evaluation and responsible use. Passing earns the Spark Certified AI Foundations credential, issued with a public verification page.
Skills assessed
- AI and ML concepts
- Data and model evaluation
- Responsible AI practice
Exam structure
- Concepts3 questions
- Data and models4 questions
- Responsible AI3 questions
Question types: single-select, multiple-select and short written answers. You can flag questions and return to them before submitting.
Eligibility
Open to everyone with a free Spark Academy account.
Attempt policy
Up to 3 attempts. The timer starts when you begin and answers are saved automatically. Unsubmitted exams are scored when time expires.
Preparation resources
- Complete the AI Foundations course
- Review the sample questions on this page
- Read the Spark Academy guide to responsible AI
Sample questions
Sample 1: Which statement best describes machine learning?
- Programs that follow hand-written rules only
- Systems that learn patterns from data to make predictions
- A database that stores large files
- A method for compressing images
Sample 2: Which of these is an example of supervised learning?
- Grouping customers without labels
- Training a model on emails labelled spam or not spam
- Letting an agent learn by trial and reward
- Reducing the dimensions of a dataset