Why you should use Kubernetes Online Test?

The Kubernetes Online Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects: Understanding Kubernetes architecture and components Implementing containerization with Kubernetes Managing and configuring Pods in Kubernetes Deploying applications using Kubernetes Deployments Configuring and using Kubernetes Services Working with Volumes in Kubernetes Understanding networking concepts in Kubernetes Implementing scaling and load balancing in Kubernetes Securing Kubernetes clusters Troubleshooting and debugging Kubernetes environments

Kubernetes Online Test

Q: What topics are covered in the Kubernetes Online Test?

Kubernetes Architecture Containerization Pods Deployments Services Volumes Networking in Kubernetes Scaling and Load Balancing Security in Kubernetes

About the test:

The Kubernetes Online Test uses scenario-based MCQs to evaluate candidates on their knowledge of Kubernetes architecture, setup, deployment, networking, and troubleshooting. Additionally, the test evaluates the candidate's knowledge of Kubernetes resource objects, Kubernetes API, Kubernetes security and authentication, and Kubernetes upgrades.

Covered skills:

Kubernetes Architecture
Pods
Services
Networking in Kubernetes
Security in Kubernetes

Containerization
Deployments
Volumes
Scaling and Load Balancing

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9 reasons why

Adaface Kubernetes Test is the most accurate way to shortlist Kubernetes Administrators

Reason #1

Tests for on-the-job skills

The Kubernetes Online Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

Understanding the architecture and components of Kubernetes
Demonstrating knowledge of containerization and its benefits in Kubernetes
Creating and managing pods in Kubernetes
Deploying applications using Kubernetes deployments
Configuring and managing services in Kubernetes
Working with volumes for persistent storage in Kubernetes
Understanding networking concepts in Kubernetes
Implementing scaling and load balancing in Kubernetes
Configuring and enforcing security measures in Kubernetes

Reason #2

No trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

View sample questions

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface

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Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

These are just a small sample from our library of 10,000+ questions. The actual questions on this Kubernetes Online Test will be non-googleable.

🧐 Question
Medium ConfigMap and Secrets Interaction Resource Management Security	Try practice test
In a Kubernetes cluster, you are working on configuring a new deployment that should be able to access specific environment variables through both ConfigMap and Secrets resources. The deployment YAML is structured as follows: You have applied the above YAML successfully without any errors. Now, you are about to configure a service to expose the deployment. Before doing that, you want to confirm the security and setup implications. Based on the above configuration, which of the following statements are true? 1. The DATABASE_PASSWORD will be mounted as an environment variable in plain text. 2. The ConfigMap data can be updated and the changes will be reflected automatically in the running pods without any need for a redeployment. 3. If a potential attacker gains access to the cluster, they would be able to retrieve the DATABASE_PASSWORD in plain text from the secrets resource as it is defined in stringData. 4. The APP_ENV and DATABASE_URL values are securely stored and cannot be accessed by non-admin users. 5. If a new container in the same pod is created, it would automatically have the DATABASE_PASSWORD environment variable configured.
Medium Ingress from namespace Network Network Policies	Try practice test
You are tasked with deploying a Kubernetes network policy. Here are the specifications: - Name of the policy: adaface-namespace - Policy to be deployed in ‘chatbot’ namespace - The policy should allow ALL traffic only from ‘tester’ namespace - Policy should not allow communication between pods in the same namespace - Traffic only from ‘tester’ namespace is allowed on all ports Which of the following configuration files is BEST suited to create required dependencies and deploy the network policy?
Medium Pod Affinity and Resource Quota Compliance Pod Scheduling Resource Management	Try practice test
You are working on a Kubernetes project where you need to ensure that certain pods get scheduled on nodes based on the presence of other pods and to limit the amount of resources that can be consumed in a namespace. You have been given the following YAML file which contains a combination of a pod definition and a resource quota: With the application of the above YAML configuration, assess the validity of the statements and choose the correct option that lists all the true statements. 1. The critical-pod will only be scheduled on nodes where at least one pod with a label security=high is already running. 2. The critical-pod is adhering to the resource quotas defined in the compute-quota. 3. The compute-quota restricts the namespace to only allow a total of 1 CPU and 1Gi memory in requests and 2 CPUs and 2Gi memory in limits across all pods. 4. If a node has multiple pods labeled with security=high, the critical-pod can potentially be scheduled on that node, given other scheduling constraints are met. 5. The critical-pod exceeds the defined memory request quota as per the compute-quota.
Easy Resource limits Pods Containers	Try practice test
How would you deploy a Kubernetes pod with the following specifications: - Name of pod: adaface - Resource limits: 1 CPU and 512Mi memory - Image: haproxy A: kubectl run adaface --image=haproxy --limits='cpu=1,memory=512Mi' B: kubectl run adaface --image=haproxy --requests='cpu=1,memory=512Mi'

	🧐 Question	🔧 Skill
	Medium ConfigMap and Secrets Interaction Resource Management Security	2 mins Kubernetes	Try practice test
In a Kubernetes cluster, you are working on configuring a new deployment that should be able to access specific environment variables through both ConfigMap and Secrets resources. The deployment YAML is structured as follows: You have applied the above YAML successfully without any errors. Now, you are about to configure a service to expose the deployment. Before doing that, you want to confirm the security and setup implications. Based on the above configuration, which of the following statements are true? 1. The DATABASE_PASSWORD will be mounted as an environment variable in plain text. 2. The ConfigMap data can be updated and the changes will be reflected automatically in the running pods without any need for a redeployment. 3. If a potential attacker gains access to the cluster, they would be able to retrieve the DATABASE_PASSWORD in plain text from the secrets resource as it is defined in stringData. 4. The APP_ENV and DATABASE_URL values are securely stored and cannot be accessed by non-admin users. 5. If a new container in the same pod is created, it would automatically have the DATABASE_PASSWORD environment variable configured.
	Medium Ingress from namespace Network Network Policies	3 mins Kubernetes	Try practice test
You are tasked with deploying a Kubernetes network policy. Here are the specifications: - Name of the policy: adaface-namespace - Policy to be deployed in ‘chatbot’ namespace - The policy should allow ALL traffic only from ‘tester’ namespace - Policy should not allow communication between pods in the same namespace - Traffic only from ‘tester’ namespace is allowed on all ports Which of the following configuration files is BEST suited to create required dependencies and deploy the network policy?
	Medium Pod Affinity and Resource Quota Compliance Pod Scheduling Resource Management	2 mins Kubernetes	Try practice test
You are working on a Kubernetes project where you need to ensure that certain pods get scheduled on nodes based on the presence of other pods and to limit the amount of resources that can be consumed in a namespace. You have been given the following YAML file which contains a combination of a pod definition and a resource quota: With the application of the above YAML configuration, assess the validity of the statements and choose the correct option that lists all the true statements. 1. The critical-pod will only be scheduled on nodes where at least one pod with a label security=high is already running. 2. The critical-pod is adhering to the resource quotas defined in the compute-quota. 3. The compute-quota restricts the namespace to only allow a total of 1 CPU and 1Gi memory in requests and 2 CPUs and 2Gi memory in limits across all pods. 4. If a node has multiple pods labeled with security=high, the critical-pod can potentially be scheduled on that node, given other scheduling constraints are met. 5. The critical-pod exceeds the defined memory request quota as per the compute-quota.
	Easy Resource limits Pods Containers	3 mins Kubernetes	Try practice test
How would you deploy a Kubernetes pod with the following specifications: - Name of pod: adaface - Resource limits: 1 CPU and 512Mi memory - Image: haproxy A: kubectl run adaface --image=haproxy --limits='cpu=1,memory=512Mi' B: kubectl run adaface --image=haproxy --requests='cpu=1,memory=512Mi'

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	ConfigMap and Secrets Interaction Resource Management Security	Kubernetes	Medium	2 mins	Try practice test
In a Kubernetes cluster, you are working on configuring a new deployment that should be able to access specific environment variables through both ConfigMap and Secrets resources. The deployment YAML is structured as follows: You have applied the above YAML successfully without any errors. Now, you are about to configure a service to expose the deployment. Before doing that, you want to confirm the security and setup implications. Based on the above configuration, which of the following statements are true? 1. The DATABASE_PASSWORD will be mounted as an environment variable in plain text. 2. The ConfigMap data can be updated and the changes will be reflected automatically in the running pods without any need for a redeployment. 3. If a potential attacker gains access to the cluster, they would be able to retrieve the DATABASE_PASSWORD in plain text from the secrets resource as it is defined in stringData. 4. The APP_ENV and DATABASE_URL values are securely stored and cannot be accessed by non-admin users. 5. If a new container in the same pod is created, it would automatically have the DATABASE_PASSWORD environment variable configured.
	Ingress from namespace Network Network Policies	Kubernetes	Medium	3 mins	Try practice test
You are tasked with deploying a Kubernetes network policy. Here are the specifications: - Name of the policy: adaface-namespace - Policy to be deployed in ‘chatbot’ namespace - The policy should allow ALL traffic only from ‘tester’ namespace - Policy should not allow communication between pods in the same namespace - Traffic only from ‘tester’ namespace is allowed on all ports Which of the following configuration files is BEST suited to create required dependencies and deploy the network policy?
	Pod Affinity and Resource Quota Compliance Pod Scheduling Resource Management	Kubernetes	Medium	2 mins	Try practice test
You are working on a Kubernetes project where you need to ensure that certain pods get scheduled on nodes based on the presence of other pods and to limit the amount of resources that can be consumed in a namespace. You have been given the following YAML file which contains a combination of a pod definition and a resource quota: With the application of the above YAML configuration, assess the validity of the statements and choose the correct option that lists all the true statements. 1. The critical-pod will only be scheduled on nodes where at least one pod with a label security=high is already running. 2. The critical-pod is adhering to the resource quotas defined in the compute-quota. 3. The compute-quota restricts the namespace to only allow a total of 1 CPU and 1Gi memory in requests and 2 CPUs and 2Gi memory in limits across all pods. 4. If a node has multiple pods labeled with security=high, the critical-pod can potentially be scheduled on that node, given other scheduling constraints are met. 5. The critical-pod exceeds the defined memory request quota as per the compute-quota.
	Resource limits Pods Containers	Kubernetes	Easy	3 mins	Try practice test
How would you deploy a Kubernetes pod with the following specifications: - Name of pod: adaface - Resource limits: 1 CPU and 512Mi memory - Image: haproxy A: kubectl run adaface --image=haproxy --limits='cpu=1,memory=512Mi' B: kubectl run adaface --image=haproxy --requests='cpu=1,memory=512Mi'

Reason #4

1200+ customers in 75 countries

With Adaface, we were able to optimise our initial screening process by upwards of 75%, freeing up precious time for both hiring managers and our talent acquisition team alike!

Brandon Lee, Head of People, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Kubernetes Online Test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Science behind Adaface tests

Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Kubernetes Online Test from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

Reason #7

Detailed scorecards & benchmarks

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Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

Reason #9

Advanced Proctoring

Learn more

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About the Kubernetes Assessment Test

Why you should use Pre-employment Kubernetes Online Test?

The Kubernetes Online Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

Understanding Kubernetes architecture and components
Implementing containerization with Kubernetes
Managing and configuring Pods in Kubernetes
Deploying applications using Kubernetes Deployments
Configuring and using Kubernetes Services
Working with Volumes in Kubernetes
Understanding networking concepts in Kubernetes
Implementing scaling and load balancing in Kubernetes
Securing Kubernetes clusters
Troubleshooting and debugging Kubernetes environments

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Kubernetes Online Test?

Kubernetes Architecture
This skill provides an understanding of the overall structure and components of the Kubernetes system, such as the master node, worker nodes, and control plane. It is essential to measure this skill in the test to ensure that candidates have a solid foundation in the fundamental architecture of Kubernetes.
Containerization
This skill involves packaging applications and their dependencies into self-contained units called containers. It is crucial to measure this skill to assess a candidate's ability to effectively utilize containerization technology, which is a key component of Kubernetes applications.
Pods
Pods are the smallest deployable units in Kubernetes, consisting of one or more containers. Measuring this skill helps evaluate a candidate's understanding of how to manage and orchestrate containers within a pod, ensuring proper communication and resource sharing.
Deployments
This skill focuses on managing the rollout and scaling of application changes in Kubernetes. It is important to measure this skill to assess a candidate's proficiency in ensuring the availability and reliability of applications during the deployment process.
Services
Services in Kubernetes enable communication and load balancing between pods. Measuring this skill helps evaluate a candidate's knowledge of configuring and managing services to ensure efficient network communication and high availability of applications.
Volumes
Volumes provide persistent storage for containers in Kubernetes. Measuring this skill helps assess a candidate's ability to handle data persistence and manage storage resources effectively within a Kubernetes environment.
Networking in Kubernetes
Understanding networking concepts in Kubernetes is crucial for managing communication between pods and services. This skill should be measured to evaluate a candidate's knowledge of networking models, routing, and traffic management within a Kubernetes cluster.
Scaling and Load Balancing
This skill involves the ability to scale applications in a Kubernetes cluster to handle increased workload and ensure optimal resource utilization. Measuring this skill helps assess a candidate's proficiency in managing application scalability and load balancing.
Security in Kubernetes
This skill focuses on implementing security measures and best practices within a Kubernetes environment. Measuring this skill helps evaluate a candidate's understanding of securing containerized applications, network communication, and access control in Kubernetes.
Full list of covered topics
The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Kubernetes Online Test to be based on.
Kubernetes architecture
Master and worker nodes
API server
etcd
kubelet
kube-proxy
Containerization
Docker
Pods
Pod lifecycle
Deployment
ReplicaSets
Updating deployments
Services
Service types
LoadBalancer
Ingress
Volumes
PersistentVolumes
PersistentVolumeClaims
StorageClasses
Networking in Kubernetes
Network policies
Service discovery
DNS in Kubernetes
Scaling
HorizontalPodAutoscaler
Cluster autoscaling
Load balancing
Security
RBAC
Authentication
Authorization
Pod security policies
Secrets
Network policies
Security contexts
Auditing

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What roles can I use the Kubernetes Online Test for?

Kubernetes Administrator
DevOps Engineer
Cloud Engineer
Site Reliability Engineer
Software Engineer

How is the Kubernetes Online Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

Managing and optimizing resource utilization in Kubernetes
Implementing advanced networking concepts in Kubernetes
Automating deployment and scaling tasks in Kubernetes
Implementing access control and RBAC in Kubernetes
Monitoring and logging in Kubernetes
Implementing storage solutions in Kubernetes
Configuring advanced security features in Kubernetes
Implementing high availability in Kubernetes
Managing service discovery and DNS in Kubernetes
Implementing backup and disaster recovery in Kubernetes

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The hiring managers felt that through the technical questions that they asked during the panel interviews, they were able to tell which candidates had better scores, and differentiated with those who did not score as well. They are highly satisfied with the quality of candidates shortlisted with the Adaface screening.

85%

reduction in screening time

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Kubernetes Hiring Test FAQs

Can I combine multiple skills into one custom assessment?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

Do you have any anti-cheating or proctoring features in place?

We have the following anti-cheating features in place:

Non-googleable questions
IP proctoring
Screen proctoring
Web proctoring
Webcam proctoring
Plagiarism detection
Secure browser
Copy paste protection

Read more about the proctoring features.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

What experience level can I use this test for?

Each Adaface assessment is customized to your job description/ ideal candidate persona (our subject matter experts will pick the right questions for your assessment from our library of 10000+ questions). This assessment can be customized for any experience level.

Does every candidate get the same questions?

Yes, it makes it much easier for you to compare candidates. Options for MCQ questions and the order of questions are randomized. We have anti-cheating/ proctoring features in place. In our enterprise plan, we also have the option to create multiple versions of the same assessment with questions of similar difficulty levels.