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: Forståelse af Kubernetes Arkitektur og komponenter Implementering af containerisering med Kubernetes Håndtering og konfiguration af bælg i Kubernetes Implementering af applikationer ved hjælp af Kubernetes -implementeringer Konfiguration og brug af Kubernetes -tjenester Arbejde med bind i Kubernetes Forståelse af netværkskoncepter i Kubernetes Implementering af skalering og belastningsafbalancering i Kubernetes Sikring af kubernetes klynger Fejlfinding og fejlfinding af Kubernetes -miljøer

Kubernetes Online Test

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

Kubernetes Arkitektur Containerisering Bælg Implementeringer Tjenester Bind Netværk i Kubernetes Skalering og belastningsbalancering Sikkerhed i Kubernetes

About the test:

Kubernetes online-test bruger scenariebaserede MCQ'er til at evaluere kandidater om deres viden om Kubernetes-arkitektur, opsætning, implementering, netværk og fejlfinding. Derudover evaluerer testen kandidatens viden om Kubernetes -ressourceobjekter, Kubernetes API, Kubernetes Security and Authentication og Kubernetes opgraderinger.

Covered skills:

Kubernetes Arkitektur
Bælg
Tjenester
Netværk i Kubernetes
Sikkerhed i Kubernetes

Containerisering
Implementeringer
Bind
Skalering og belastningsbalancering

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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:

Forståelse af arkitekturen og komponenterne i Kubernetes
Demonstration af viden om containerisering og dens fordele i Kubernetes
Oprettelse og styring af bælg i Kubernetes
Implementering af applikationer ved hjælp af Kubernetes -implementeringer
Konfiguration og styring af tjenester i Kubernetes
Arbejde med mængder til vedvarende opbevaring i Kubernetes
Forståelse af netværkskoncepter i Kubernetes
Implementering af skalering og belastningsafbalancering i Kubernetes
Konfiguration og håndhævelse af sikkerhedsforanstaltninger i 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

Dette er kun en lille prøve fra vores bibliotek med 10.000+ spørgsmål. De faktiske spørgsmål om dette Kubernetes online test vil være ikke-gåbart.

🧐 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

Med Adaface var vi i stand til at optimere vores indledende screeningsproces med op mod 75 %, hvilket frigjorde kostbar tid for både ansættelsesledere og vores talentanskaffelsesteam!

Brandon Lee, Leder af mennesker, 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:

Forståelse af Kubernetes Arkitektur og komponenter
Implementering af containerisering med Kubernetes
Håndtering og konfiguration af bælg i Kubernetes
Implementering af applikationer ved hjælp af Kubernetes -implementeringer
Konfiguration og brug af Kubernetes -tjenester
Arbejde med bind i Kubernetes
Forståelse af netværkskoncepter i Kubernetes
Implementering af skalering og belastningsafbalancering i Kubernetes
Sikring af kubernetes klynger
Fejlfinding og fejlfinding af Kubernetes -miljøer

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?

pods
pods er de mindste implementerbare enheder i Kubernetes bestående af en eller flere containere. Måling af denne færdighed hjælper med at evaluere en kandidats forståelse af, hvordan man styrer og orkestrerer containere inden for en POD, hvilket sikrer korrekt kommunikation og ressourcedeling.
implementeringer
Denne færdighed fokuserer på at styre udrulningen og skalering af ansøgningsændringer i Kubernetes. Det er vigtigt at måle denne færdighed til at vurdere en kandidats færdigheder i at sikre tilgængeligheden og pålideligheden af applikationer under implementeringsprocessen.
tjenester
Tjenester i Kubernetes muliggør kommunikation og belastning mellem pods . Måling af denne færdighed hjælper med at evaluere en kandidats viden om konfiguration og styring af tjenester for at sikre effektiv netværkskommunikation og høj tilgængelighed af applikationer.
mængder
volumener giver vedvarende opbevaring til containere i Kubernetes. Måling af denne færdighed hjælper med at vurdere en kandidats evne til at håndtere datapersistens og styre lagerressourcer effektivt inden for et Kubernetes -miljø.
netværk i Kubernetes
Forståelse af netværkskoncepter i Kubernetes er afgørende for at styre kommunikationen mellem bælg og tjenester. Denne færdighed skal måles for at evaluere en kandidats viden om netværksmodeller, routing og trafikstyring inden for en Kubernetes -klynge.
skalering og belastningsafbalancering
Denne færdighed involverer evnen til at skalere applikationer I en Kubernetes -klynge til at håndtere øget arbejdsbyrde og sikre optimal ressourceudnyttelse. Måling af denne færdighed hjælper med at vurdere en kandidats færdigheder i styring af applikationsskalerbarhed og belastningsafbalancering.
sikkerhed i Kubernetes
Denne færdighed fokuserer på at implementere sikkerhedsforanstaltninger og bedste praksis inden for et Kubernetes -miljø. Måling af denne færdighed hjælper med at evaluere en kandidats forståelse af at sikre containeriserede applikationer, netværkskommunikation og adgangskontrol i 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 Arkitektur
Master- og arbejderknudepunkter
API -server
osv
Kubelet
Kube-Proxy
Containerisering
Docker
Bælg
Pod Lifecycle
Implementering
Replikasæt
Opdatering af implementeringer
Tjenester
Servicetyper
LoadBalancer
Ingress
Bind
Vedvarende volumener
Vedvarende Volumeclaims
Storageclasses
Netværk i Kubernetes
Netværkspolitikker
Serviceopdagelse
DNS i Kubernetes
Skalering
HorisontalPodautoscaler
Cluster Autoscaling
Belastning afbalancering
Sikkerhed
RBAC
Godkendelse
Bemyndigelse
POD -sikkerhedspolitikker
Hemmeligheder
Netværkspolitikker
Sikkerhedskontekster
Revision

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What roles can I use the Kubernetes Online Test for?

Kubernetes -administrator
DevOps Engineer
Skyingeniør
Site Pålidelighedsingeniør
Software ingeniør

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

Håndtering og optimering af ressourceudnyttelse i Kubernetes
Implementering af avancerede netværkskoncepter i Kubernetes
Automatisering af implementering og skaleringsopgaver i Kubernetes
Implementering af adgangskontrol og RBAC i Kubernetes
Overvågning og logning i Kubernetes
Implementering af opbevaringsløsninger i Kubernetes
Konfiguration af avancerede sikkerhedsfunktioner i Kubernetes
Implementering af høj tilgængelighed i Kubernetes
Håndtering af serviceopdagelse og DNS i Kubernetes
Implementering af backup og katastrofegendannelse i Kubernetes

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Se prøvescorekort

Ansættelseslederne mente, at de gennem de tekniske spørgsmål, som de stillede under panelinterviewene, var i stand til at fortælle, hvilke kandidater der havde bedre score og differentieret sig med dem, der ikke scorede så godt. De er meget tilfreds med kvaliteten af de kandidater, der er nomineret med Adaface-screeningen.

85%

Reduktion i screeningstid

Se den fulde casestudie

Kubernetes Hiring Test Ofte stillede spørgsmål

Kan jeg kombinere flere færdigheder i en brugerdefineret vurdering?

Ja absolut. Brugerdefinerede vurderinger er oprettet baseret på din jobbeskrivelse og vil omfatte spørgsmål om alle must-have-færdigheder, du angiver.

Har du nogen anti-cheating eller proctoring-funktioner på plads?

Vi har følgende anti-cheating-funktioner på plads:

Ikke-gåbare spørgsmål
IP Proctoring
Webproctoring
Webcam Proctoring
Detektion af plagiering
Sikker browser

Læs mere om Proctoring Features.

Hvordan fortolker jeg testresultater?

Den primære ting at huske på er, at en vurdering er et elimineringsværktøj, ikke et udvælgelsesværktøj. En færdighedsvurdering er optimeret for at hjælpe dig med at eliminere kandidater, der ikke er teknisk kvalificerede til rollen, den er ikke optimeret til at hjælpe dig med at finde den bedste kandidat til rollen. Så den ideelle måde at bruge en vurdering på er at beslutte en tærskelværdi (typisk 55%, vi hjælper dig med benchmark) og inviterer alle kandidater, der scorer over tærsklen for de næste interviewrunder.

Hvilken oplevelsesniveau kan jeg bruge denne test til?

Hver Adaface -vurdering tilpasses til din jobbeskrivelse/ ideel kandidatperson (vores emneeksperter vælger de rigtige spørgsmål til din vurdering fra vores bibliotek på 10000+ spørgsmål). Denne vurdering kan tilpasses til ethvert erfaringsniveau.

Får hver kandidat de samme spørgsmål?

Ja, det gør det meget lettere for dig at sammenligne kandidater. Valgmuligheder for MCQ -spørgsmål og rækkefølgen af spørgsmål randomiseres. Vi har anti-cheating/proctoring funktioner på plads. I vores virksomhedsplan har vi også muligheden for at oprette flere versioner af den samme vurdering med spørgsmål om lignende vanskelighedsniveauer.