DevOps (Docker/Kubernetes) Assessment Test

This DevOps (Docker/Kubernetes) test evaluates candidates' proficiency in managing containerized applications using Docker and Kubernetes. It assesses their ability to deploy, scale, and troubleshoot applications in a cloud environment, ensuring they have the foundational skills necessary for a DevOps role.

Proficiency Level

Beginner-Expert

Experience

0-8 years

Duration

30 mins

WeCP Verified

WeCP

Subject Matter Expert

Use This Template

Use Case

Assesses Kubernetes fundamentals: debugging, integration, and administration tasks.
Evaluates candidate proficiency in Kubernetes CLI and configuration commands.
Identifies skills in container runtime management and certificate signing.
Tests practical DevOps abilities: directory creation, soft links, script execution.

Skills Covered

Kubernetes

DevOps (Linux)

About

DevOps (Docker/Kubernetes) Assessment Test

This DevOps (Docker/Kubernetes) test is designed to evaluate candidates' skills in managing and orchestrating containerized applications using Docker and Kubernetes. It focuses on assessing their ability to deploy, scale, and troubleshoot applications within a cloud environment, ensuring they possess the foundational skills necessary for a DevOps role. The test covers essential aspects of containerization, orchestration, and cloud-native application management, providing a comprehensive evaluation of candidates' capabilities in these areas. It is an ideal assessment for identifying individuals who can effectively contribute to cloud and DevOps teams.

Target Audience

This assessment is suitable for roles such as Cloud Engineer, DevOps Engineer, Site Reliability Engineer, and Infrastructure Engineer.

Prerequisites

Understanding of Linux operating systems
Basic knowledge of Docker and containerization concepts
Familiarity with Kubernetes architecture and components
Experience with cloud platforms like AWS, Azure, or Google Cloud
Ability to write and understand YAML configuration files
Knowledge of CI/CD pipelines and tools
Basic networking concepts and troubleshooting skills

Test Overview

Duration

30 mins

Questions

Passing Score

70%

Questions

Create a test directory in /root/

DevOps

DevOps(Linux)

Easy

Linux

What this question evaluates

This question assesses the candidate's ability to create directories, create soft links, and run scripts in a Unix environment. It evaluates the candidate's understanding of file system manipulation, soft link creation, and script execution.

Type:

Programming

Difficulty:

Easy

Time:

15 mins

Attempts:

100+

Success Rate:

70.01%

Optional flags in kube-apiserver

IT-Enterprise Tools

MCQ

Thinking

Verified

What this question evaluates

This question evaluates the candidate's understanding of kube-apiserver configuration. It requires knowledge of optional flags that can be set to authenticate client certificates based on the signing authorities mentioned in the client-ca-file. The candidate must be able to identify the specific flag that achieves this behavior.

Type:

Programming

Difficulty:

Medium

Time:

1 mins

Attempts:

100+

Success Rate:

70.01%

Using the diff command

IT-Enterprise Tools

Knowledge

MCQ

Verified

What this question evaluates

This question assesses the candidate's knowledge of the KUBECTL_EXTERNAL_DIFF environment variable and the diff command, focusing on the default options used.

Type:

Programming

Difficulty:

Medium

Time:

1 mins

Attempts:

100+

Success Rate:

70.01%

View the admission plugins

IT-Enterprise Tools

MCQ

Thinking

Verified

What this question evaluates

This question evaluates the candidate's knowledge in Kubernetes administration. It tests their understanding of the kube-apiserver and how to view the enabled admission plugins using various command options. The candidate should be familiar with the Kubernetes CLI, command line interface, and command options related to kube-apiserver and admission plugins.

Type:

Programming

Difficulty:

Medium

Time:

1 mins

Attempts:

100+

Success Rate:

70.01%

Request and receive a new certificate

IT-Enterprise Tools

Knowledge

MCQ

Verified

What this question evaluates

This question tests the candidate's knowledge of Kubernetes and specifically, configuring the kubelet for certificate management. It evaluates familiarity with key components like RBAC, ClusterRoleBinding, and other related bindings.

Type:

Programming

Difficulty:

Medium

Time:

1 mins

Attempts:

100+

Success Rate:

70.01%

Create a certificate signing request (CSR)

CSR

IT-Enterprise Tools

MCQ

Thinking

What this question evaluates

This question evaluates the candidate's familiarity with Kubernetes Clusterroles and their usage in certificate signing request (CSR) management and kubelet authorization. The candidate must be able to identify the suitable Clusterroles for creating and retrieving a CSR while authorizing a kubelet.

Type:

Programming

Difficulty:

Medium

Time:

1 mins

Attempts:

100+

Success Rate:

70.01%

Fetch and refresh ECR credentials

Docker integration

IT-Enterprise Tools

Knowledge

MCQ

What this question evaluates

This question evaluates the candidate's familiarity with the integration of Docker and Kubernetes, specifically regarding the usage of Amazon Elastic Container Registry (ECR). It tests the candidate's understanding of the specific permissions required to enable the kubelet to fetch and refresh ECR credentials. The candidate must be able to identify the correct permissions from the given options.

Type:

Programming

Difficulty:

Medium

Time:

1 mins

Attempts:

100+

Success Rate:

70.01%

Strip all managedFields

IT-Enterprise Tools

Knowledge

MCQ

Verified

What this question evaluates

This question evaluates the candidate's familiarity with Kubernetes API and its object manipulation operations. It tests the understanding of different strategies for modifying object fields, specifically managedFields. The candidate must identify the operation(s) that can be used to strip all managedFields from an object.

Type:

Programming

Difficulty:

Medium

Time:

1 mins

Attempts:

100+

Success Rate:

70.01%

Bootstrap a Kubernetes worker node

IT-Enterprise Tools

Knowledge

MCQ

Verified

What this question evaluates

This question evaluates the candidate's familiarity with Kubernetes and specifically, the process of bootstrapping a worker node and joining it to a cluster. It requires understanding of Kubernetes command-line tools and their usage. The candidate must recognize the correct command to use for this purpose.

Type:

Programming

Difficulty:

Medium

Time:

1 mins

Attempts:

100+

Success Rate:

70.01%

Integrate Docker with Kubernetes

Docker integration

IT-Enterprise Tools

Knowledge

MCQ

What this question evaluates

This question tests the candidate's understanding of Docker and Kubernetes integration using Amazon Elastic Container Registry (ECR), specifically in the context of AWS EC2 instances.

Type:

Programming

Difficulty:

Medium

Time:

1 mins

Attempts:

100+

Success Rate:

70.01%

Fix the issues with CRI-compatible container runtimes

IT-Enterprise Tools

Kubernetes cluster

MCQ

Thinking

What this question evaluates

This question tests the candidate's knowledge of debugging Kubernetes clusters and troubleshooting issues related to CRI-compatible container runtimes. It evaluates their understanding of the commands used to list image IDs.

Type:

Programming

Difficulty:

Medium

Time:

1 mins

Attempts:

100+

Success Rate:

70.01%

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Choose from multiple formats including MCQs, coding challenges, and system design questions.

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Candidate Experience

Interactive coding environment with real-time feedback

Clear instructions and test cases for each question

Built-in code editor with syntax highlighting

Immediate evaluation of submissions

Progress tracking throughout the assessment

Detailed explanations for correct answers

Time management tools to help pace yourself

Proctoring & Anti-Cheating

Sherlock AI Agent

Sherlock is more than just a tool, it's your AI test integrity agent. By continuously monitoring and analyzing candidate behavior in real-time, Sherlock ensures a secure and fair testing environment. Using machine learning, it detects suspicious patterns, so you can focus on reliable results while Sherlock handles test integrity.

Learn how it works

Live Monitoring

Track behavior with real-time video and audio.

Screen Tracking

Multi-screen detection and continuous screen recording during assessment.

Pattern Analysis

Spot suspicious actions with AI-driven insights.

Access Control

Ensure secure tests with browser lockdown.

Real-time Monitoring

Video Feed

Active

Screen Activity

98%

Focus Rate

95%

Leila Cohen

Candidate

Passed

85%

AI Summary

Skills Performance

Score

Kubernetes

87%

DevOps (Linux)

80%

85%

82%

Areas of Improvement

Review

Practice

DevOps (Linux)

Skill Assessment

Detailed evaluation of technical skills and problem-solving abilities.

AI Analysis

Machine learning-powered insights into candidate performance patterns.

Benchmarking

Compare results against industry standards and other candidates.

Action Items

Specific recommendations for skill development and improvement.

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Frequently Asked Questions

How does AI proctoring work?

Our AI proctoring system, Sherlock, uses advanced machine learning algorithms to monitor candidate behavior in real-time. It analyzes video, audio, and screen activity to detect potential cheating attempts while maintaining candidate privacy.

Can I customise assessment templates?

Yes! All plans include access to our template library, and you can customize them to match your specific requirements. Professional and Enterprise plans offer additional customization options and the ability to create custom templates from scratch.

What type of reports are available?

We provide comprehensive reports including detailed skill assessments, AI-powered behavioral analysis, comparative analytics, and improvement recommendations. Reports can be customized and exported in various formats.

Is the platform suitable for remote hiring?

Absolutely! Our platform is specifically designed for remote hiring with features like secure browser lockdown, AI proctoring, and real-time monitoring. It ensures the same level of assessment integrity as in-person evaluations.

How do you ensure security of assessment data?

We implement enterprise-grade security measures including end-to-end encryption, secure data storage, and regular security audits. We comply with GDPR and other major data protection regulations.