Why you should use Docker Online Test?

The Dockningstest 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: Förstå Docker grunder och koncept Skapa, hantera och distribuera Docker -bilder Arbetar med Docker -containrar och deras livscykel Förstå dockningsnätverk och kommunikation mellan containrar Hantera dockningsvolymer och ihållande data Arbeta med Docker Compose för att definiera och hantera multi-container-applikationer Distribuera och hantera tjänster med Docker Swarm Genomförande av dockers säkerhetspraxis och policyer Orkestrater Docker-containrar för storskaliga utplaceringar

Docker Online Test

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

Docker grunder Docker -bilder Dockcontainrar Dockningsnätverk Dockvolymer Docker komponerar Svärm Dockersäkerhet Dockningschef Dockfelsökning

About the test:

Docker-testet använder scenariobaserade MCQ: er för att utvärdera kandidater om deras kunskaper i att arbeta med Docker-containrar, deras kunskap om Docker-arkitektur, Docker-kommandoradsgränssnitt, DockerFile-syntax, Docker-nätverk, Docker-volymer och Docker Compose. Dessa nyckelfärdigheter/ämnen är viktiga för att utvärdera en kandidats förmåga att distribuera och hantera applikationer med Docker.

Covered skills:

Docker grunder
Dockcontainrar
Dockvolymer
Svärm
Dockningschef

Docker -bilder
Dockningsnätverk
Docker komponerar
Dockersäkerhet
Dockfelsökning

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9 reasons why

Adaface Docker Test is the most accurate way to shortlist Docker -utvecklares

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:

Förmåga att förstå och förklara grunderna i Docker
Möjlighet att skapa, hantera och anpassa Docker -bilder
Möjlighet att starta, hantera och felsöka Docker -containrar
Möjlighet att konfigurera och hantera Docker -nätverk
Möjlighet att arbeta med Docker -volymer och datapersistens
Möjlighet att använda Docker Compose för multi-container-applikationer
Möjlighet att distribuera och hantera tjänster med Docker Swarm
Möjlighet att genomföra säkerhetsåtgärder i Docker -miljön
Förmåga att förstå och implementera Docker Orchestration
Möjlighet att felsöka vanliga problem i Docker -miljön

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

Dessa är bara ett litet urval från vårt bibliotek med 10 000+ frågor. De faktiska frågorna om detta Dockningstest kommer att vara icke-googleable.

🧐 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 kunde vi optimera vår initiala screeningprocess med uppemot 75 %, vilket frigjorde dyrbar tid för både anställande chefer och vårt team för att förvärva talang!

Brandon Lee, Chef för människor, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Dockningstest 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 Dockningstest 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

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About the Docker Assessment Test

Why you should use Pre-employment Docker Online Test?

The Dockningstest 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:

Förstå Docker grunder och koncept
Skapa, hantera och distribuera Docker -bilder
Arbetar med Docker -containrar och deras livscykel
Förstå dockningsnätverk och kommunikation mellan containrar
Hantera dockningsvolymer och ihållande data
Arbeta med Docker Compose för att definiera och hantera multi-container-applikationer
Distribuera och hantera tjänster med Docker Swarm
Genomförande av dockers säkerhetspraxis och policyer
Orkestrater Docker-containrar för storskaliga utplaceringar

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 är byggstenarna för containrar som innehåller Allt behövs för att köra en applikation. Denna färdighet bör mätas för att utvärdera kandidatens förståelse för bildskapande, versionskontroll och distribution, som är avgörande för effektiva och tillförlitliga containerdistributioner.
Docker containrar
Docker -containrar är lätta container , isolerade miljöer som kör applikationer. Att mäta denna färdighet hjälper till att bedöma kandidatens förmåga att hantera och konfigurera containrar, inklusive nätverks- och lagringsinställningar, såväl som deras kunskap om containeriseringsprinciper och bästa praxis.
Docker -nätverk
Docker -nätverk innebär att skapa och hantera nätverksförbindelser mellan containrar och andra resurser. Testning av denna färdighet gör det möjligt för rekryteraren att mäta kandidatens kunskaper i att konfigurera och felsöka dockningsnätverk, förstå nätverkslägen och implementera DNS och lastbalansering i containerimerade miljöer. Ge ihållande lagring för containrar, vilket gör att data kan lagras och delas mellan olika containerinstanser. Att utvärdera denna färdighet hjälper till att bestämma kandidatens kunskap om volymhantering, datapersistensstrategier och hur man hanterar filsystembehörigheter och ägande inom containrar.
Docker Compose
Docker Compose är ett verktyg för att definiera definiering och kör flera container-applikationer. Mätning av denna färdighet är avgörande för att bedöma kandidatens förmåga att skriva och distribuera Docker -komponeringsfiler, som definierar tjänster, nätverk och volymer som krävs för komplexa containeriserade applikationer.
Docker Swarm
Docker Swarm är en infödd kluster- och orkestreringslösning för Docker. Testning av denna färdighet utvärderar kandidatens förståelse för svärmläge, inklusive att skapa och hantera svärmkluster, distribuera tjänster och skalningsapplikationer över flera dockningsnoder för hög tillgänglighet.
Docker Security
Docker -säkerhet Fokuserar på att implementera bästa praxis och funktioner för att säkra dockningsmiljöer och containeriserade applikationer. Mätning av denna färdighet hjälper till att mäta kandidatens kunskap om Docker -säkerhetsmekanismer, såsom användarnamnutrymmen, bildskanning, containerisolering, nätverkssäkerhet och sårbarhetshantering.
Docker Orchestration
Docker Orchestration involverar Hantera och samordna flera Docker -containrar och tjänster i en distribuerad miljö. Utvärdering av denna färdighet gör det möjligt för rekryterare att bestämma kandidatens kännedom om Docker Orchestration -verktyg som Kubernetes eller Docker Swarm, liksom deras förmåga att konfigurera och övervaka containeriserade applikationer i skala.
Docker -felsökning
Docker -felsökning innebär att identifiera och lösa problem som kan uppstå i Docker -miljöer, till exempel behållare -felkonfigurationer, nätverksproblem eller flaskhalsar för prestanda. Att mäta denna färdighet hjälper till att bedöma kandidatens förmåga att effektivt diagnostisera och felsöka problem i containeriserade applikationer, vilket säkerställer smidig och pålitlig verksamhet.
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 Dockningstest to be based on.
Dockningsinstallation
Dockarkitektur
Dockningsfil
Docker -bildlager
Docker container livscykel
Docker -nätverkslägen
Dockningsvolymhantering
Docker Compose Yaml Syntax
Docker Swarm Setup and Configuration
Docker Service Scaling
Docker Security Best Practices
Docker Orchestration Tools
Docker Felsökningstekniker
Docker CLI -kommandon
Dockningsregistret
Docker containerloggar
Docker containermiljövariabler
Docker Container Health Checks
Docker container resurshantering
Docker Container Intercommunication
Docker -bildmärkning och versionering
Docker Image Optimization Techniques
Docker -nätverkskonfigurationer
Docker Volume Backup and Restore
Docker komponerar miljövariabler
Docker Swarm Service Discovery
Docker Swarm Node Management
Dockers säkerhetsskanning
Docker Orchestration Mönster
Docker Felsökningsverktyg
Docker -kommandoradsalternativ
Docker Image Caching
Docker Container Startup -alternativ
Docker containermiljöisolering
Docker Image Registry Authentication
Docker Network Routing
Docker Volume Behörigheter
Docker komponerar distributionsstrategier
Docker Swarm Load Balancing
Docker Security Revision
Docker Container Resource Monitoring
Docker Image Layers optimering
Docker Network Overlays
Docker Volume Drivers
Docker Compose Scaling
Docker Swarm Service -uppdateringar
Dockers säkerhetspolicy
Docker Orchestration Rollback
Docker containerlogghantering
Docker Container Networking Felsökning
Docker Image Vulnerability Scanning
Docker komponerar nätverkskonfiguration
Docker Swarm Health Checks
Docker Security Härdning
Docker containerprocessövervakning
Docker bildstorleksminskning
Docker Network Firewall -inställningar
Docker Volume Backup Strategies
Docker Compose Service Discovery
Docker Swarm Service Begränsningar
Docker Security Compliance
Docker Container Performance Optimization
Docker Image Lay Caching
Docker Network Load Balancing
Dockvolymkryptering
Docker komponerar volymhantering
Docker Swarm Secret Management
Dockers säkerhetssårbarheter
Docker container hög tillgänglighet
Docker bildversionsstrategier
Docker Network Traffic Control
Docker Volume Replication
Docker komponerar miljövariabel substitution
Docker Swarm Stack -distribution
Docker Security Revising Tools
Docker Container Resource Isolation
Docker bildlagringsoptimering
Docker Network DNS -upplösning
Docker Volume Size Management
Docker Compose Service Scalability
Docker Swarm Multi-Manager-installation
Docker Security Incident Response
Docker containerloggrotation
Docker Image Source Control Integration
Docker Network Latency Optimization
Docker Volume Performance Tuning
Docker komponerar beroendehantering
Docker Swarm Service Rolling -uppdateringar
Docker Security Compliance Scanning
Docker container felsökning
Docker Image Multi-Aark Support
Docker Network Gateway -konfiguration
Docker Volume Snapshotting
Docker Compose Container Linking
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 -utvecklare
DevOps Engine
Plats pålitlighetsingenjör
Infrastrukturingenjör
Behållarespecialist
Backend -utvecklare

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

Designa och implementera Docker -infrastruktur
Byggande motståndskraftig och skalbar Docker -arkitektur
Implementera containerorkestrering med Kubernetes och Docker
Integrera Docker med CI/CD -rörledningar
Hantera Docker i molnmiljöer
Övervakning och loggningsdockor containrar och applikationer
Implementera hög tillgänglighet och feltolerans i Docker -distributioner
Automatisering av Docker -uppgifter med skript- och automatiseringsverktyg
Utföra Docker -bildoptimering och storleksminskning
Konfigurera och hantera avancerat Docker -nätverk

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De anställande cheferna upplevde att de genom de tekniska frågorna som de ställde under panelintervjuerna kunde berätta vilka kandidater som hade bättre poäng och särskiljde sig med de som inte fick lika bra poäng. Dom är mycket nöjd med kvaliteten på de kandidater som nominerades med Adaface-screeningen.

85%

minskning av screeningstiden

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Docker Hiring Test Vanliga frågor

Kan jag kombinera flera färdigheter till en anpassad bedömning?

Ja absolut. Anpassade bedömningar ställs in baserat på din arbetsbeskrivning och kommer att innehålla frågor om alla måste-ha färdigheter du anger.

Har du några anti-cheating eller proctoring-funktioner på plats?

Vi har följande anti-cheating-funktioner på plats:

Icke-Googleable-frågor
IP -proctoring
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Detektion av plagiering
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Läs mer om proctoring -funktionerna.

Hur tolkar jag testresultat?

Det främsta att tänka på är att en bedömning är ett eliminationsverktyg, inte ett urvalsverktyg. En kompetensbedömning är optimerad för att hjälpa dig att eliminera kandidater som inte är tekniskt kvalificerade för rollen, den är inte optimerad för att hjälpa dig hitta den bästa kandidaten för rollen. Så det ideala sättet att använda en bedömning är att bestämma en tröskelpoäng (vanligtvis 55%, vi hjälper dig att jämföra) och bjuda in alla kandidater som gör poäng över tröskeln för nästa intervjurundor.

Vilken erfarenhetsnivå kan jag använda detta test för?

Varje AdaFace -bedömning anpassas till din arbetsbeskrivning/ idealisk kandidatperson (våra ämnesexperter kommer att välja rätt frågor för din bedömning från vårt bibliotek med 10000+ frågor). Denna bedömning kan anpassas för alla erfarenhetsnivåer.

Får varje kandidat samma frågor?

Ja, det gör det mycket lättare för dig att jämföra kandidater. Alternativ för MCQ -frågor och ordningen på frågor randomiseras. Vi har anti-cheating/proctoring -funktioner på plats. I vår företagsplan har vi också möjlighet att skapa flera versioner av samma bedömning med frågor om liknande svårighetsnivåer.

Jag är kandidat. Kan jag prova ett träningstest?

Nej. Tyvärr stöder vi inte övningstester just nu. Du kan dock använda våra exempelfrågor för övning.

Vad är kostnaden för att använda detta test?

Du kan kolla in våra prisplaner.

Kan jag få en gratis provperiod?

Plattformen är helt självbetjänande, så här är ett sätt att gå vidare:

Du kan registrera dig gratis för att få en känsla för hur det fungerar.
Den kostnadsfria provperioden inkluderar en provbedömning (Java/JavaScript) som du hittar i din instrumentpanel när du registrerar dig. Du kan använda den för att granska kvaliteten på frågorna och kandidaternas upplevelse av ett konversationstest på Adaface.
För att granska kvaliteten på frågorna kan du också granska våra offentliga frågor för 50+ färdigheter här.
När du är övertygad om att du vill testa det med riktiga bedömningar och kandidater kan du välja en plan enligt dina krav.