Our Kubernetes assessment test is the preferred pre-employment test for recruiters and hiring managers to hire job-fit candidates for the role of Kubernetes Developer. Our customers have reported up to 80% reduction in screening time after using this online assessment to qualify candidates.
Kubernetes is a portable, extensible open-source platform for managing containerized workloads and services that facilitates both declarative configuration and automation. It has a large, rapidly growing ecosystem that provides a container-centric management environment. It orchestrates computing, networking, and storage infrastructure on behalf of user workloads.
Kubernetes assessment test helps recruiters and hiring managers to assess candidate’s ability to handle automated deployment and scaling on Kubernetes. Kubernetes online test is created & validated by experienced industry experts to assess & hire Kubernetes developer as per the industry standards.
Online K8s test helps to screen the candidates who possess traits as follows:
1. Excellent knowledge of setup, configuration, and architecture of K8s
2. Ability to understand capacity, performance requirements & define a deployment solution using K8s
3. Ability to understand and implement alerting/monitoring practices in code
4. Strong experience of working on pods, kube controller
iMocha’s test platform helps you to easily invite candidate’s to take Kubernetes online test. You can get instant results and an option to share this result with your recruiting team.
Our powerful reporting helps you to analyze section wise performance of candidate to gauge his strengths and weaknesses. Features like window violation and webcam proctoring help detect cheating during the test.
Kubernetes skills test will evaluate a candidate's practical knowledge and will identify whether the candidate is ready to be employed. Online K8s test can be taken by candidates from anywhere in the comfort of their time zone.
Kubernetes skill assessment test may contain MCQ's (Multiple Choice Questions), MAQ's (Multiple Answer Questions), Fill in the Blanks, Descriptive, Whiteboard Questions, Audio / Video Questions, AI-LogicBox, Coding Simulations, True or False Questions, etc.
Test Duration: 55 minutes
No. of Questions: 13
Level of Expertise: Medium
Data Science – Deployment
This Kubernetes online test assesses candidate’s proficiency in deploying data science application with Kubernetes
The skills assessment helps you find out candidate’s awareness about adding components for deploying, running, and managing serverless, cloud-native applications to Kubernetes using Knative
The online tech assessment evaluates candidates ability to use the Kubernetes controller manager to embed the core control loops shipped with Kubernetes
Kubernetes skills test will help in assessing candidate’s competency in creating and managing pods in Kubernetes
With iMocha’s pre-hire assessment you get an idea of developer’s ability to create clusters in Kubernetes
This test lets you check the ability of a candidate to use Java applications with Kubernetes
This test helps you to evaluate a candidate’s knowledge of using Python 3 applications with Kubernetes
Kubernetes skill assessment test helps recruiter to assess developer's competency to use Go applications with Kubernetes
Choose from our 100,000+ question library or add your own questions to make powerful custom tests
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Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.
Add multiple skills in a single test to create an effective assessment. Assess multiple skills together.
Add, edit or bulk upload your own coding questions, MCQ, whiteboarding questions & more.
Get a tailored assessment created with the help of our subject matter experts to ensure effective screening.
“Siemens needed an employee review metric that was based on pure data, making it simpler for the hiring managers to evaluate their team. At the same time, we wanted the employees to be able to show case their domain knowledge and skills without the fear of any biases affecting their review process.”