Why you should use Docker Online Test?

The Docker -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 av Docker og konsepter Opprette, administrere og distribuere Docker -bilder Arbeide med Docker -containere og deres livssyklus Forstå Docker -nettverk og kommunikasjon mellom containere Administrere Docker -volumer og vedvarende data Arbeide med Docker Componer for å definere og administrere multi-container-applikasjoner Distribuere og administrere tjenester ved hjelp av Docker Swarm Implementering av Docker Security Practices and Policies Orkestrering av Docker-containere for storskala distribusjoner

Docker Online Test

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

Basics Docker Docker -bilder Docker containere Docker Networking Docker -volum Docker komponerer Docker Swarm Docker Security Docker Orchestration Docker feilsøking

About the test:

Docker-testen bruker scenariobaserte MCQ-er for å evaluere kandidater om sin dyktighet i å jobbe med Docker-containere, deres kunnskap om Docker-arkitektur, Docker-kommandolinjegrensesnitt, DockerFile Syntax, Docker Networking, Docker Volumes og Docker Compose. Disse viktige ferdighetene/emnene er viktige for å evaluere en kandidats evne til å distribuere og administrere applikasjoner ved hjelp av Docker.

Covered skills:

Basics Docker
Docker containere
Docker -volum
Docker Swarm
Docker Orchestration

Docker -bilder
Docker Networking
Docker komponerer
Docker Security
Docker feilsøking

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9 reasons why

Adaface Docker Test is the most accurate way to shortlist Docker Developers

Reason #1

Tests for on-the-job skills

The Docker 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:

Evne til å forstå og forklare det grunnleggende om Docker
Evne til å lage, administrere og tilpasse Docker -bilder
Evne til å starte, administrere og feilsøke Docker -containere
Evne til å konfigurere og administrere Docker Networking
Evne til å jobbe med Docker -volum og utholdenhet av data
Evne til å bruke Docker-komponering for applikasjoner med flere container
Evne til å distribuere og administrere tjenester ved hjelp av Docker Swarm
Evne til å iverksette sikkerhetstiltak i Docker -miljøet
Evne til å forstå og implementere Docker -orkestrering
Evne til å feilsøke vanlige problemer i Docker -miljøet

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 bare en liten prøve fra biblioteket vårt med 10.000+ spørsmål. De faktiske spørsmålene om dette Docker -test vil være ikke-googlable.

🧐 Question
Medium Docker Multistage Build Analysis Multistage Builds Optimization	Solve
Consider the following Dockerfile, which utilizes multistage builds. The aim is to build a lightweight, optimized image that just runs the application. The Dockerfile first defines a base image that includes Node.js and npm, then it creates an intermediate image to install the npm dependencies. Afterwards, it runs the tests in another stage and finally, creates the release image. Which of the following statements are true? A: The final image will include the test scripts. B: If a test fails, the final image will not be created. C: The node_modules directory in the final image comes from the base image. D: The final image will only contain the necessary application files and dependencies. E: If the application's source code changes, only the release stage needs to be rebuilt.
Easy Docker Networking and Volume Mounting Interplay Networking Volume Mounting	Solve
You have two docker containers, X and Y. Container X is running a web service listening on port 8080, and container Y is supposed to consume this service. Both containers are created from images that don't have any special network configurations. Container X has a Dockerfile as follows: And, you build and run it with the following commands: Container Y is also running alpine with python installed, and it's supposed to read data from the `/app/data` directory and send a GET request to `http://localhost:8080` every 5 minutes. The Dockerfile for container B is: And you run it with: Assuming all the python scripts work perfectly and firewall isn't blocking any connections, you find that container Y can't access the web service of container X via `http://localhost:8080` and also it can't read the data in `/app/data` directory. What could be the potential reason(s)? A: Y can't access X's web service because they're in different Docker networks. B: Y can't read the data because the volume is not shared correctly. C: Both A and B are correct. D: Both A and B are incorrect.
Medium Dockerfile Optimization Dockerfile Multi-stage builds Layer Caching	Solve
You have been asked to optimize a Dockerfile for a Python application that involves a heavy dependency installation. Here is the Dockerfile you are starting with: Given that the application's source code changes frequently but the dependencies listed in requirements.txt rarely change, how can you optimize this Dockerfile to take advantage of Docker's layer caching, reducing the build time? A: Move the `RUN pip install` command to before the `COPY` command. B: Change `COPY . /app` to `COPY ./app.py /app` and move the `RUN pip install` command to before the `COPY` command. C: Add `RUN pip cache purge` before `RUN pip install`. D: Replace the base image with `python:3.8-slim`. E: Implement multi-stage builds.
Medium Dockerfile Updates Cache	Solve
Check the following Dockerfile used for a project (STAGE 1): We created an image from this Dockerfile on Dec 14 2021. A couple of weeks after Dec 14 2021, Ubuntu released new security updates to their repository. After 2 months, we modified the file (STAGE 2): Couple of weeks later, we further modified the file to add a local file ada.txt to /ada.txt (STAGE 3): (Note that ada.txt exists in /home/adaface and the dockerfile exists in /home/code folders) Pick correct statements: A: If we run “docker build .” at STAGE 2, new Ubuntu updates will be fetched because apt-get update will be run again since cache is invalidated for all lines/layers of Dockerfile when a new line is added. B: If we run “docker build .” at STAGE 2, new Ubuntu updates will not be fetched since cache is invalidated only for last two lines of the updated Dockerfile. Since the first two commands remain the same, cached layers are re-used skipping apt get update. C: To skip Cache, “docker build -no-cache .” can be used at STAGE 2. This will ensure new Ubuntu updates are picked up. D: Docker command “docker build .” at STAGE 3 works as expected and adds local file ada.txt to the image. E: Docker command “docker build .” at STAGE 3 gives an error “no such file or directory” since /home/adaface/ada.txt is not part of the Dockerfile context.
Medium Efficient Dockerfile Dockerfile	Solve
Review the following Dockerfiles that work on two projects (project and project2): All Docker files have the same end result: - ‘project’ is cloned from git. After running few commands, ‘project’ code is removed. - ‘project2’ is copied from file system and permissions to the folder is changed. Pick the correct statements: A: File 1 is the most efficient of all. B: File 2 is the most efficient of all. C: File 3 is the most efficient of all. D: File 4 is the most efficient of all. E: Merging multiple RUN commands into a single RUN command is efficient for ‘project’ since each RUN command creates a new layer with changed files and folders. Deleting files with RUN only marks these files as deleted but does not reclaim disk space. F: Copying ‘project2’ files and changing ownership in two separate commands will result in two layers since Docker duplicates all the files twice.

	🧐 Question	🔧 Skill
	Medium Docker Multistage Build Analysis Multistage Builds Optimization	3 mins Docker	Solve
Consider the following Dockerfile, which utilizes multistage builds. The aim is to build a lightweight, optimized image that just runs the application. The Dockerfile first defines a base image that includes Node.js and npm, then it creates an intermediate image to install the npm dependencies. Afterwards, it runs the tests in another stage and finally, creates the release image. Which of the following statements are true? A: The final image will include the test scripts. B: If a test fails, the final image will not be created. C: The node_modules directory in the final image comes from the base image. D: The final image will only contain the necessary application files and dependencies. E: If the application's source code changes, only the release stage needs to be rebuilt.
	Easy Docker Networking and Volume Mounting Interplay Networking Volume Mounting	3 mins Docker	Solve
You have two docker containers, X and Y. Container X is running a web service listening on port 8080, and container Y is supposed to consume this service. Both containers are created from images that don't have any special network configurations. Container X has a Dockerfile as follows: And, you build and run it with the following commands: Container Y is also running alpine with python installed, and it's supposed to read data from the `/app/data` directory and send a GET request to `http://localhost:8080` every 5 minutes. The Dockerfile for container B is: And you run it with: Assuming all the python scripts work perfectly and firewall isn't blocking any connections, you find that container Y can't access the web service of container X via `http://localhost:8080` and also it can't read the data in `/app/data` directory. What could be the potential reason(s)? A: Y can't access X's web service because they're in different Docker networks. B: Y can't read the data because the volume is not shared correctly. C: Both A and B are correct. D: Both A and B are incorrect.
	Medium Dockerfile Optimization Dockerfile Multi-stage builds Layer Caching	2 mins Docker	Solve
You have been asked to optimize a Dockerfile for a Python application that involves a heavy dependency installation. Here is the Dockerfile you are starting with: Given that the application's source code changes frequently but the dependencies listed in requirements.txt rarely change, how can you optimize this Dockerfile to take advantage of Docker's layer caching, reducing the build time? A: Move the `RUN pip install` command to before the `COPY` command. B: Change `COPY . /app` to `COPY ./app.py /app` and move the `RUN pip install` command to before the `COPY` command. C: Add `RUN pip cache purge` before `RUN pip install`. D: Replace the base image with `python:3.8-slim`. E: Implement multi-stage builds.
	Medium Dockerfile Updates Cache	2 mins Docker	Solve
Check the following Dockerfile used for a project (STAGE 1): We created an image from this Dockerfile on Dec 14 2021. A couple of weeks after Dec 14 2021, Ubuntu released new security updates to their repository. After 2 months, we modified the file (STAGE 2): Couple of weeks later, we further modified the file to add a local file ada.txt to /ada.txt (STAGE 3): (Note that ada.txt exists in /home/adaface and the dockerfile exists in /home/code folders) Pick correct statements: A: If we run “docker build .” at STAGE 2, new Ubuntu updates will be fetched because apt-get update will be run again since cache is invalidated for all lines/layers of Dockerfile when a new line is added. B: If we run “docker build .” at STAGE 2, new Ubuntu updates will not be fetched since cache is invalidated only for last two lines of the updated Dockerfile. Since the first two commands remain the same, cached layers are re-used skipping apt get update. C: To skip Cache, “docker build -no-cache .” can be used at STAGE 2. This will ensure new Ubuntu updates are picked up. D: Docker command “docker build .” at STAGE 3 works as expected and adds local file ada.txt to the image. E: Docker command “docker build .” at STAGE 3 gives an error “no such file or directory” since /home/adaface/ada.txt is not part of the Dockerfile context.
	Medium Efficient Dockerfile Dockerfile	2 mins Docker	Solve
Review the following Dockerfiles that work on two projects (project and project2): All Docker files have the same end result: - ‘project’ is cloned from git. After running few commands, ‘project’ code is removed. - ‘project2’ is copied from file system and permissions to the folder is changed. Pick the correct statements: A: File 1 is the most efficient of all. B: File 2 is the most efficient of all. C: File 3 is the most efficient of all. D: File 4 is the most efficient of all. E: Merging multiple RUN commands into a single RUN command is efficient for ‘project’ since each RUN command creates a new layer with changed files and folders. Deleting files with RUN only marks these files as deleted but does not reclaim disk space. F: Copying ‘project2’ files and changing ownership in two separate commands will result in two layers since Docker duplicates all the files twice.

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Docker Multistage Build Analysis Multistage Builds Optimization	Docker	Medium	3 mins	Solve
Consider the following Dockerfile, which utilizes multistage builds. The aim is to build a lightweight, optimized image that just runs the application. The Dockerfile first defines a base image that includes Node.js and npm, then it creates an intermediate image to install the npm dependencies. Afterwards, it runs the tests in another stage and finally, creates the release image. Which of the following statements are true? A: The final image will include the test scripts. B: If a test fails, the final image will not be created. C: The node_modules directory in the final image comes from the base image. D: The final image will only contain the necessary application files and dependencies. E: If the application's source code changes, only the release stage needs to be rebuilt.
	Docker Networking and Volume Mounting Interplay Networking Volume Mounting	Docker	Easy	3 mins	Solve
You have two docker containers, X and Y. Container X is running a web service listening on port 8080, and container Y is supposed to consume this service. Both containers are created from images that don't have any special network configurations. Container X has a Dockerfile as follows: And, you build and run it with the following commands: Container Y is also running alpine with python installed, and it's supposed to read data from the `/app/data` directory and send a GET request to `http://localhost:8080` every 5 minutes. The Dockerfile for container B is: And you run it with: Assuming all the python scripts work perfectly and firewall isn't blocking any connections, you find that container Y can't access the web service of container X via `http://localhost:8080` and also it can't read the data in `/app/data` directory. What could be the potential reason(s)? A: Y can't access X's web service because they're in different Docker networks. B: Y can't read the data because the volume is not shared correctly. C: Both A and B are correct. D: Both A and B are incorrect.
	Dockerfile Optimization Dockerfile Multi-stage builds Layer Caching	Docker	Medium	2 mins	Solve
You have been asked to optimize a Dockerfile for a Python application that involves a heavy dependency installation. Here is the Dockerfile you are starting with: Given that the application's source code changes frequently but the dependencies listed in requirements.txt rarely change, how can you optimize this Dockerfile to take advantage of Docker's layer caching, reducing the build time? A: Move the `RUN pip install` command to before the `COPY` command. B: Change `COPY . /app` to `COPY ./app.py /app` and move the `RUN pip install` command to before the `COPY` command. C: Add `RUN pip cache purge` before `RUN pip install`. D: Replace the base image with `python:3.8-slim`. E: Implement multi-stage builds.
	Dockerfile Updates Cache	Docker	Medium	2 mins	Solve
Check the following Dockerfile used for a project (STAGE 1): We created an image from this Dockerfile on Dec 14 2021. A couple of weeks after Dec 14 2021, Ubuntu released new security updates to their repository. After 2 months, we modified the file (STAGE 2): Couple of weeks later, we further modified the file to add a local file ada.txt to /ada.txt (STAGE 3): (Note that ada.txt exists in /home/adaface and the dockerfile exists in /home/code folders) Pick correct statements: A: If we run “docker build .” at STAGE 2, new Ubuntu updates will be fetched because apt-get update will be run again since cache is invalidated for all lines/layers of Dockerfile when a new line is added. B: If we run “docker build .” at STAGE 2, new Ubuntu updates will not be fetched since cache is invalidated only for last two lines of the updated Dockerfile. Since the first two commands remain the same, cached layers are re-used skipping apt get update. C: To skip Cache, “docker build -no-cache .” can be used at STAGE 2. This will ensure new Ubuntu updates are picked up. D: Docker command “docker build .” at STAGE 3 works as expected and adds local file ada.txt to the image. E: Docker command “docker build .” at STAGE 3 gives an error “no such file or directory” since /home/adaface/ada.txt is not part of the Dockerfile context.
	Efficient Dockerfile Dockerfile	Docker	Medium	2 mins	Solve
Review the following Dockerfiles that work on two projects (project and project2): All Docker files have the same end result: - ‘project’ is cloned from git. After running few commands, ‘project’ code is removed. - ‘project2’ is copied from file system and permissions to the folder is changed. Pick the correct statements: A: File 1 is the most efficient of all. B: File 2 is the most efficient of all. C: File 3 is the most efficient of all. D: File 4 is the most efficient of all. E: Merging multiple RUN commands into a single RUN command is efficient for ‘project’ since each RUN command creates a new layer with changed files and folders. Deleting files with RUN only marks these files as deleted but does not reclaim disk space. F: Copying ‘project2’ files and changing ownership in two separate commands will result in two layers since Docker duplicates all the files twice.

Reason #4

1200+ customers in 75 countries

Med Adaface var vi i stand til å optimalisere den første screeningsprosessen vår med oppover 75 %, og frigjorde dyrebar tid for både ansettelsesledere og vårt talentanskaffelsesteam!

Brandon Lee, Leder for mennesker, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Docker -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 Docker -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 Docker Assessment Test

Why you should use Pre-employment Docker Online Test?

The Docker -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 av Docker og konsepter
Opprette, administrere og distribuere Docker -bilder
Arbeide med Docker -containere og deres livssyklus
Forstå Docker -nettverk og kommunikasjon mellom containere
Administrere Docker -volumer og vedvarende data
Arbeide med Docker Componer for å definere og administrere multi-container-applikasjoner
Distribuere og administrere tjenester ved hjelp av Docker Swarm
Implementering av Docker Security Practices and Policies
Orkestrering av Docker-containere for storskala distribusjoner

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 Docker Online Test?

Docker -bilder
Docker -bilder er byggesteinene til containere, som inneholder Alt som trengs for å kjøre en applikasjon. Denne ferdigheten bør måles for å evaluere kandidatens forståelse av bildeoppretting, versjonskontroll og distribusjon, som er avgjørende for effektive og pålitelige containerutplasseringer.
Docker -containere
Docker -beholdere er lette , isolerte miljøer som kjører applikasjoner. Måling av denne ferdigheten hjelper til med å vurdere kandidatens evne til å administrere og konfigurere containere, inkludert nettverks- og lagringsinnstillinger, samt deres kunnskap om containeriseringsprinsipper og beste praksis.
Docker Networking
Docker Networking innebærer å lage og administrere nettverkstilkoblinger mellom containere og andre ressurser. Testing av denne ferdigheten gjør at rekruttereren kan måle kandidatens dyktighet i å konfigurere og feilsøke Docker -nettverk, forstå nettverksmodus og implementere DNS og lastbalansering i containerte miljøer.
Docker -volumer
Docker Volumes Gi vedvarende lagring for containere, slik at data kan lagres og deles mellom forskjellige containerforekomster. Evaluering av denne ferdigheten hjelper til med å bestemme kandidatens kunnskap om volumstyring, datatistensstrategier og hvordan man håndterer filsystemets tillatelser og eierskap i containere.
Docker Compose
Docker Compose er et verktøy for å definere og kjøre multi-container-applikasjoner. Måling av denne ferdigheten er avgjørende for å vurdere kandidatens evne til å skrive og distribuere Docker Compose Files, som definerer tjenestene, nettverkene og volumene som kreves for komplekse containeriserte applikasjoner.
Docker Swarm
Docker Swarm er en innfødt gruppering og orkestreringsløsning for Docker. Testing av denne ferdigheten evaluerer kandidatens forståelse av svermmodus, inkludert å lage og administrere svermklynger, distribuere tjenester og skaleringsapplikasjoner på tvers av flere Docker -noder for høy tilgjengelighet.
Docker Security
Docker Security Fokuserer på å implementere beste praksis og funksjoner for å sikre Docker -miljøer og containeriserte applikasjoner. Måling av denne ferdigheten hjelper til Administrere og koordinere flere Docker -containere og tjenester i et distribuert miljø. Evaluering av denne ferdigheten lar rekrutterere bestemme kandidatens kjennskap til Docker -orkestreringsverktøy som Kubernetes eller Docker Swarm, samt deres evne til å konfigurere og overvåke containerte applikasjoner i skala.
Docker -feilsøking
Feilsøking av Docker innebærer å identifisere og løse problemer som kan oppstå i Docker -miljøer, for eksempel container -feilkonfigurasjoner, nettverksproblemer eller ytelsesflaskehalser. Måling av denne ferdigheten hjelper til med å vurdere kandidatens evne til effektivt å diagnostisere og feilsøke problemer i containeriserte applikasjoner, og sikre jevn og pålitelig drift.
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 Docker -test to be based on.
Docker -installasjon
Docker -arkitektur
Dockerfile
Docker -bildelag
Docker Container Lifecycle
Docker Networking Modes
Docker Volume Management
Docker komponerer YAML -syntaks
Docker Swarm Setup and Configuration
Docker Service Scaling
Docker sikkerhets beste praksis
Docker Orchestration Tools
Docker feilsøkingsteknikker
Docker CLI -kommandoer
Docker -registeret
Docker Container Logs
Docker Container Miljøvariabler
Docker Container Health Sjekker
Docker Container Resource Management
Docker Container interkommunikasjon
Docker -bildemerking og versjonering
Docker Image Optimization Techniques
Docker nettverkskonfigurasjoner
Docker Volume Backup og Restore
Docker komponerer miljøvariabler
Docker Swarm Service Discovery
Docker Swarm Node Management
Docker Security Scanning
Docker Orchestration Patterns
Docker feilsøkingsverktøy
Docker kommandolinjealternativer
Docker Image Caching
Docker Container oppstartsalternativer
Docker Container Environment Isolation
Docker Image Registry Authentication
Docker Network Routing
Docker Volumtillatelser
Docker komponerer distribusjonsstrategier
Docker Swarm Load Balancing
Docker sikkerhetsrevisjon
Docker Container Resource Monitoring
Docker Image Layers Optimization
Docker Network Overlegg
Docker volumdrivere
Docker komponerer skalering
Docker Swarm Service -oppdateringer
Docker Security Policies
Docker Orchestration Rollback
Docker Container Log Management
Docker Container Network Feilsøking
Docker Image Sårbarhetsskanning
Docker komponerer nettverkskonfigurasjon
Docker Swarm Health Sjekker
Docker Security Hardening
Docker Container Process Monitoring
Docker -reduksjon av bildestørrelse
Docker Network Firewall -innstillinger
Docker Volume Backup Strategies
Docker komponerer tjenesteoppdagelse
Docker Swarm Service -begrensninger
Docker Security Compliance
Docker Container Performance Optimization
Docker bildelag hurtigbufring
Docker nettverksbalansering
Docker Volum -kryptering
Docker komponerer volumadministrasjon
Docker Swarm Secret Management
Docker Security -sårbarheter
Docker Container høy tilgjengelighet
Docker Image Versioning Strategies
Docker Network Traffic Control
Docker volumreplikasjon
Docker komponerer miljøvariabel substitusjon
Docker Swarm Stack -distribusjon
Docker sikkerhetsrevisjonsverktøy
Docker Container Resource Isolation
Docker Image Storage Optimization
Docker Network DNS -oppløsning
Docker Volumstørrelse Management
Docker komponerer service skalerbarhet
Docker Swarm Multi-Manager Setup
Docker sikkerhetshendelsesrespons
Docker Container Log Rotation
Docker Image Source Control Integration
Docker Network latensoptimalisering
Docker Volume Performance Tuning
Docker komponerer avhengighetsstyring
Docker Swarm Service Rolling Updates
Docker Security Compliance Scanning
Docker Container Debug Logging
Docker Image Multi-Arch Support
Docker Network Gateway Configuration
Docker Volume Snapshotting
Docker komponerer containerkobling
Docker Swarm Multi-Cluster Setup
Docker Security Access Control
Docker Container Log Aggregation
Docker Image Artifact Management

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What roles can I use the Docker Online Test for?

Docker Developer
DevOps ingeniør
Nettstedets pålitelighetsingeniør
Infrastrukturingeniør
Containeriseringsspesialist
Backend Developer

How is the Docker 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

Designe og implementere Docker Infrastructure
Å bygge spenstig og skalerbar Docker -arkitektur
Implementering av container orkestrering med Kubernetes og Docker
Integrering av Docker med CI/CD -rørledninger
Administrere Docker i skymiljøer
Overvåking og logging Docker -containere og applikasjoner
Implementere høy tilgjengelighet og feiltoleranse i Docker -distribusjoner
Automatisering av Docker -oppgaver ved hjelp av skript- og automatiseringsverktøy
Utføre docker bildeoptimalisering og størrelsesreduksjon
Konfigurere og administrere Advanced Docker Networking

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Ansettelseslederne mente at de gjennom de tekniske spørsmålene de stilte under panelintervjuene, var i stand til å fortelle hvilke kandidater som scoret bedre, og differensierte med de som ikke skåret like godt. De er svært fornøyd med kvaliteten på kandidatene som er på listen med Adaface-screeningen.

85%

Reduksjon i screeningstid

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Docker Hiring Test Vanlige spørsmål

Kan jeg kombinere flere ferdigheter til en tilpasset vurdering?

Ja absolutt. Tilpassede vurderinger er satt opp basert på stillingsbeskrivelsen din, og vil inneholde spørsmål om alle må-ha ferdigheter du spesifiserer.

Har du noen anti-juksende eller proktoreringsfunksjoner på plass?

Vi har følgende anti-juksede funksjoner på plass:

Ikke-googlable spørsmål
IP Proctoring
Nettproctoring
Webcam Proctoring
Deteksjon av plagiering
Sikker nettleser

Les mer om Proctoring -funksjonene.

Hvordan tolker jeg testresultater?

Den viktigste tingen å huske på er at en vurdering er et eliminasjonsverktøy, ikke et seleksjonsverktøy. En ferdighetsvurdering er optimalisert for å hjelpe deg med å eliminere kandidater som ikke er teknisk kvalifisert for rollen, det er ikke optimalisert for å hjelpe deg med å finne den beste kandidaten for rollen. Så den ideelle måten å bruke en vurdering på er å bestemme en terskelpoeng (vanligvis 55%, vi hjelper deg med å benchmark) og invitere alle kandidater som scorer over terskelen for de neste rundene med intervjuet.

Hvilken opplevelsesnivå kan jeg bruke denne testen til?

Hver ADAFACE -vurdering er tilpasset din stillingsbeskrivelse/ ideell kandidatperson (våre fageksperter vil velge de riktige spørsmålene for din vurdering fra vårt bibliotek med 10000+ spørsmål). Denne vurderingen kan tilpasses for ethvert opplevelsesnivå.

Får hver kandidat de samme spørsmålene?

Ja, det gjør det mye lettere for deg å sammenligne kandidater. Alternativer for MCQ -spørsmål og rekkefølgen på spørsmål er randomisert. Vi har anti-juksing/proctoring funksjoner på plass. I vår bedriftsplan har vi også muligheten til å lage flere versjoner av den samme vurderingen med spørsmål med lignende vanskelighetsnivåer.