At WeCP, each assessment question is carefully categorized into proficiency levels, ensuring accurate benchmarking of candidate or employee skills. Below is a detailed breakdown of each proficiency level along with clear examples of knowledge-based and hands-on questions.

This level requires basic recall, recognition, or introductory application of concepts. Candidates are expected to have little to no hands-on experience.

Knowledge Question (MCQ):
​Which of the following is used to declare a constant in JavaScript?

Hands-On Question (Coding):
​Write a simple JavaScript function named greet that returns the string "Hello, World!".

At this level, candidates have functional knowledge and some practical experience. They can apply basic concepts but may still require occasional guidance.

Knowledge Question (Video Response):
​Explain in 2 minutes or less, what is a SQL JOIN operation and give one practical example of its usage.

Hands-On Question (Coding):
​Write a SQL query that retrieves all records from a table named Customers where the Country column is 'USA'.

Practitioners are competent at handling routine tasks independently and can effectively solve moderately complex problems using best practices.

Knowledge Question (MCQ):
​Which of the following algorithms is most suitable for sorting a nearly sorted list efficiently?

Hands-On Question (Coding Project):
​Create a small Python application that takes a list of integers as input, sorts it using the insertion sort algorithm, and outputs the sorted list.

Experts possess deep knowledge, confidently solve advanced, non-routine problems, and provide strategic insights.

Knowledge Question (Video Response):
​Discuss in detail, within 3-5 minutes, the benefits and drawbacks of using microservices architecture for enterprise applications.

Hands-On Question (Project):
​Design and implement a RESTful API service using Node.js and Express.js, including authentication and data validation, to manage inventory data for an e-commerce store.

Masters have exceptional expertise, capable of innovation, creating new methodologies, and influencing industry standards.

Knowledge Question (MCQ with Justification):
​Which architecture pattern would you recommend for real-time analytics processing at scale, and why?

Hands-On Question (Advanced Project):
​Develop a scalable, fault-tolerant, real-time analytics pipeline using Apache Kafka and Apache Spark. Provide detailed documentation on your architecture decisions, scalability considerations, and fault tolerance mechanisms.

By clearly understanding these proficiency levels, you can better match your assessment strategy to your hiring or skill development goals, ensuring candidates and employees are evaluated accurately and effectively.