Free Preparation Resources

Prepare for Your Skills Assessment

Everything you need to succeed - study guides, sample questions, practice tests, and expert tips

What to Expect

The assessment takes approximately 60 minutes and consists of three sections

1
20 min

Technical Skills

Multiple choice and short answer questions testing core knowledge

Domain-specific terminology and concepts
Best practices and industry standards
Architecture patterns and design principles
Tools and technologies
15 questions
2
25 min

Practical Coding

Hands-on coding challenges in your preferred language

Algorithm implementation
Data structure manipulation
API design and implementation
Code debugging and optimization
5 questions
3
15 min

System Design

Scenario-based questions on system architecture

Scalability and performance
Security and compliance
Integration patterns
Trade-off analysis
3 questions

Total: 60 minutes | 23 questions | Proctored

Niche-Specific Preparation

Focus your study on your specialty area

AI & Machine Learning

ML algorithms, deep learning, MLOps, and data pipelines

Key Topics to Study:

Supervised & Unsupervised Learning
Neural Networks & Deep Learning
Model Evaluation & Metrics
Feature Engineering
MLOps & Model Deployment
Natural Language Processing
Computer Vision Basics
Reinforcement Learning Concepts

Tips for Success

Expert strategies to maximize your score

Test Your Environment

Ensure stable internet, working camera/mic, and a quiet space before starting.

Manage Your Time

Don't spend too long on any single question. Mark difficult ones and return later.

Show Your Work

For coding and design questions, explain your thought process even if incomplete.

Frequently Asked Questions

Common questions about the skills assessment

Ready to Take the Assessment?

You've prepared well. Now it's time to showcase your skills and unlock better opportunities.