How our test assesses Kubernetes skills
In Neuroworx's Kubernetes test, candidates will need to answer a range of questions targeting an intermediate level of knowledge using the platform. This includes using features such as container orchestration (deploying, managing and scaling containers), managing infrastructure, service discovery, load balancing and monitoring health performance. In addition you should be familiar with the UI, terminology and best practices related to Kubernetes.
The test is designed to indicate how well a candidate understands Kubernetes based on a final test score, which can then be compared to the scores of other applicants.
The multiple-choice questions consist of one correct answer and two to four distractors. The distractors are generic mistakes or misconceptions, which makes the test challenging and helps measure a candidate's proficiency more accurately.
During the development process, the test was rigorously analysed to maximise reliability and validity in line with industry best practices. It was created and tested by Kubernetes specialists and psychometric experts, and field-tested with a representative sample of job applicants who have varying Kubernates experience, just like you might find in a talent pool.
Each test is reviewed by a panel of individuals representing diverse backgrounds to check for any sensitivity, fairness, face validity and accessibility issues. This ensures each candidate has a fair chance of demonstrating their true level of Kubernetes proficiency and feels the test is high quality.
Our software tests are monitored to ensure they are up-to-date and optimised for performance.