Why you should use Docker Online Test?

The Prueba de acopolador 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: Comprender los conceptos y conceptos conceptos de Docker Crear, administrar e implementar imágenes de Docker Trabajar con contenedores Docker y su ciclo de vida Comprender la red de Docker y la comunicación entre contenedores Administración de volúmenes de Docker y datos persistentes Trabajar con Docker compuestos para definir y administrar aplicaciones de contenedores múltiples Implementación y administración de servicios utilizando Docker Swarm Implementación de prácticas y políticas de seguridad de Docker Orquestación de contenedores Docker para implementaciones a gran escala

Docker Online Test

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

Docker Conceptos básicos Imágenes de Docker Contenedores Docker Networking de Docker Volúmenes Docker Docker componer Enjambre de Docker Seguridad de Docker Orquestación de Docker Solución de problemas de Docker

About the test:

La prueba de Docker utiliza MCQs basados en escenarios para evaluar a los candidatos sobre su competencia en trabajar con contenedores Docker, su conocimiento de Docker Architecture, Docker Comand-Line Interface, Dockerfile Syntax, Docker Networking, Docker Volumes y Docker. Estas habilidades/temas clave son importantes para evaluar la capacidad de un candidato para implementar y administrar aplicaciones utilizando Docker.

Covered skills:

Docker Conceptos básicos
Contenedores Docker
Volúmenes Docker
Enjambre de Docker
Orquestación de Docker

Imágenes de Docker
Networking de Docker
Docker componer
Seguridad de Docker
Solución de problemas de Docker

Try practice test

Start 14-day free trial

9 reasons why

Adaface Docker Test is the most accurate way to shortlist Desarrollador de Dockers

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:

Capacidad para comprender y explicar los conceptos básicos de Docker
Capacidad para crear, administrar y personalizar imágenes de Docker
Capacidad para lanzar, administrar y solucionar problemas de contenedores Docker
Capacidad para configurar y administrar las redes de Docker
Capacidad para trabajar con volúmenes de Docker y persistencia de datos
Capacidad para usar Docker Compose para aplicaciones de múltiples contenedores
Capacidad para implementar y administrar servicios utilizando Docker Swarm
Capacidad para implementar medidas de seguridad en el entorno de Docker
Capacidad para comprender e implementar la orquestación de Docker
Capacidad para solucionar problemas comunes en el entorno de Docker

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

Try practice test

Start 14-day free trial

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

Estas son solo una pequeña muestra de nuestra biblioteca de más de 10,000 preguntas. Las preguntas reales sobre esto Prueba de acopolador no se puede obtener.

🧐 Question
Medium Docker Multistage Build Analysis Multistage Builds Optimization	Try practice test
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	Try practice test
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	Try practice test
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	Try practice test
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	Try practice test
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	Try practice test
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	Try practice test
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	Try practice test
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	Try practice test
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	Try practice test
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	Try practice test
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	Try practice test
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	Try practice test
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	Try practice test
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	Try practice test
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

Con Adaface, pudimos optimizar nuestro proceso de selección inicial en más de un 75 %, liberando un tiempo precioso tanto para los gerentes de contratación como para nuestro equipo de adquisición de talentos.

Brandon Lee, jefe de personas, Love, Bonito

Try practice test

Start 14-day free trial

Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Prueba de acopolador 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 Prueba de acopolador 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

Ver cuadro de mando de muestra

Try practice test

Start 14-day free trial

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

Preview this test

Ver cuadro de mando de muestra

About the Docker Assessment Test

Why you should use Pre-employment Docker Online Test?

The Prueba de acopolador 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:

Comprender los conceptos y conceptos conceptos de Docker
Crear, administrar e implementar imágenes de Docker
Trabajar con contenedores Docker y su ciclo de vida
Comprender la red de Docker y la comunicación entre contenedores
Administración de volúmenes de Docker y datos persistentes
Trabajar con Docker compuestos para definir y administrar aplicaciones de contenedores múltiples
Implementación y administración de servicios utilizando Docker Swarm
Implementación de prácticas y políticas de seguridad de Docker
Orquestación de contenedores Docker para implementaciones a gran escala

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?

conceptos básicos de Docker
Los conceptos básicos de Docker incluyen comprender los conceptos y componentes fundamentales de Docker, como imágenes, contenedores y Docker Daemon. Es importante medir esta habilidad en la prueba para evaluar el conocimiento y la familiaridad del candidato con Docker como una tecnología de contenedorización.
imágenes de Docker
Docker Las imágenes son los bloques de construcción de contenedores, que contienen Todo lo necesario para ejecutar una aplicación. Esta habilidad debe medirse para evaluar la comprensión del candidato de la creación de imágenes, el control de versiones y la distribución, que son cruciales para los contenedores eficientes y confiables. , entornos aislados que ejecutan aplicaciones. La medición de esta habilidad ayuda a evaluar la capacidad del candidato para administrar y configurar contenedores, incluidas la configuración de red y almacenamiento, así como su conocimiento de los principios de contenedorización y las mejores prácticas. implica crear y administrar conexiones de red entre contenedores y otros recursos. Prueba de esta habilidad permite al reclutador medir la competencia del candidato en la configuración y la solución de problemas de Docker, la comprensión de los modos de red e implementación de DNS y el equilibrio de carga en entornos contenedores.
Volúmenes Docker
Volúmenes de Docker Proporcione un almacenamiento persistente para contenedores, lo que permite almacenar y compartir datos entre diferentes instancias de contenedores. La evaluación de esta habilidad ayuda a determinar el conocimiento del candidato sobre la gestión de volumen, las estrategias de persistencia de datos y cómo manejar los permisos del sistema de archivos y la propiedad dentro de los contenedores.
Docker Compose
Docker Compose es una herramienta para definir y ejecutar aplicaciones de contenedores múltiples. La medición de esta habilidad es esencial para evaluar la capacidad del candidato para escribir e implementar archivos de componer Docker, que definen los servicios, redes y volúmenes requeridos para aplicaciones contenedores complejas.
Docker Swarm
Docker El enjambre es una solución nativa de agrupación y orquestación para Docker. Probar esta habilidad evalúa la comprensión del candidato del modo enjambres, incluida la creación y gestión de grupos de enjambres, implementación de servicios y aplicaciones de escala en múltiples nodos Docker para alta disponibilidad.
Docker Security
Docker Security Security Se centra en la implementación de las mejores prácticas y características para asegurar entornos de Docker y aplicaciones contenedores. La medición de esta habilidad ayuda a medir el conocimiento del candidato sobre los mecanismos de seguridad de Docker, como espacios de nombres de usuarios, escaneo de imágenes, aislamiento de contenedores, seguridad de red y gestión de vulnerabilidades. Administrar y coordinar múltiples contenedores y servicios Docker en un entorno distribuido. La evaluación de esta habilidad permite a los reclutadores determinar la familiaridad del candidato con las herramientas de orquestación de Docker como Kubernetes o Docker Swarm, así como su capacidad para configurar y monitorear las aplicaciones contenedores a escala.
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 Prueba de acopolador to be based on.
Instalación de Docker
Arquitectura de acopolador
Dockfile
Capas de imagen Docker
Ciclo de vida del contenedor Docker
Modos de red de Docker
Gestión de volumen de Docker
Docker componiendo la sintaxis Yaml
Configuración y configuración del enjambre de Docker
Escala de servicio Docker
Las mejores prácticas de Docker Security
Herramientas de orquestación de Docker
Técnicas de solución de problemas de Docker
Comandos CLI de Docker
Registro de Docker
Registros de contenedores Docker
Variables de entorno de contenedores Docker
Checks de salud del contenedor Docker
Gestión de recursos de contenedores de Docker
Intercomunicación del contenedor Docker
Etiquetado de imagen y versiones de Docker
Técnicas de optimización de imágenes de Docker
Configuraciones de red de Docker
Copia de seguridad y restauración de Docker Volume
Docker componen variables de entorno
Discovery del servicio de enjambre de Docker
Gestión de nodos de Docker en Swarm
Escaneo de seguridad de Docker
Patrones de orquestación de Docker
Herramientas de solución de problemas de Docker
Opciones de línea de comandos de Docker
Almacenamiento en caché de imágenes de Docker
Opciones de inicio del contenedor Docker
Aislamiento del entorno del contenedor Docker
Autenticación del registro de imágenes de Docker
Enrutamiento de red de Docker
Permisos de volumen de Docker
Docker componiendo estrategias de implementación
Balancio de carga de enjambre de Docker
Auditoría de seguridad de Docker
Monitoreo de recursos de contenedores Docker
Optimización de capas de imagen Docker
Superposiciones de la red Docker
Controladores de volumen de Docker
Docker Compose Scaling
Actualizaciones del servicio de enjambre de Docker
Políticas de seguridad de Docker
Reversión de orquestación de Docker
Gestión de registros de contenedores de Docker
Solución de problemas de redes de contenedores Docker
Escaneo de vulnerabilidades de imagen de Docker
Docker componen la configuración de la red
Cheques de salud del enjambre de Docker
Endurecimiento de seguridad de Docker
Monitoreo del proceso de contenedores Docker
Reducción del tamaño de la imagen de Docker
Configuración de firewall de Docker Network
Estrategias de copia de seguridad de Docker Volume
Docker Compose Service Discovery
Restricciones de servicio de enjambre de Docker
Cumplimiento de seguridad de Docker
Optimización del rendimiento del contenedor Docker
Caché de la capa de imagen Docker
Balancio de carga de la red Docker
Cifrado de volumen de Docker
Docker componer gestión de volumen
Docker Swarm Secret Management
Vulnerabilidades de seguridad de Docker
Docker Container Alta disponibilidad
Estrategias de versiones de imagen Docker
Control de tráfico de red de Docker
Replicación de volumen de Docker
Docker componen la sustitución de la variable de entorno
Despliegue de pila de enjambre de docker
Herramientas de auditoría de seguridad de Docker
Aislamiento de recursos de contenedores de Docker
Optimización de almacenamiento de imágenes de Docker
Resolución DNS de Docker Network
Gestión de tamaño de volumen de Docker
Docker componen la escalabilidad del servicio
Configuración de Docker Swarm Multi-Manager
Respuesta a incidentes de seguridad de Docker
Rotación del registro de contenedores Docker
Integración de control de fuente de imagen de Docker
Optimización de latencia de red de Docker
Docker Volume Performance Tuning
Docker componiendo gestión de dependencias
Actualizaciones rodantes del servicio de enjambre de Docker
Escaneo de cumplimiento de seguridad de Docker
Registro de depuración del contenedor Docker
Soporte de arco múltiple de imagen de Docker
Configuración de Docker Network Gateway
Instantos de volumen de Docker
Enlace de contenedor de composición de Docker
Configuración de Docker Swarm Multi-Cluster
Control de acceso a seguridad de Docker
Agregación de registro de contenedores Docker
Docker Image Artifact Management

Try practice test

Start 14-day free trial

What roles can I use the Docker Online Test for?

Desarrollador de Docker
Ingeniero de DevOps
Ingeniero de confiabilidad del sitio
Ingeniero de infraestructura
Especialista en contenedores
Desarrollador de backend

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

Diseño e implementación de la infraestructura de Docker
Construcción de arquitectura de acopolador resistente y escalable
Implementación de la orquestación de contenedores con Kubernetes y Docker
Integración de Docker con tuberías CI/CD
Administrar Docker en entornos en la nube
Monitoreo y registro de contenedores y aplicaciones de Docker
Implementación de alta disponibilidad y tolerancia a fallas en implementaciones de Docker
Automatizar tareas de Docker utilizando herramientas de secuencias de comandos y automatización
Realización de optimización de imágenes de Docker y reducción de tamaño
Configuración y administración de redes avanzadas de Docker

Preview this test

Ver cuadro de mando de muestra

Los gerentes de contratación sintieron que a través de las preguntas técnicas que hicieron durante las entrevistas del panel, pudieron decir qué candidatos tenían mejores puntajes y diferenciarse de aquellos que no obtuvieron tan buenos puntajes. Ellos son altamente satisfecho con la calidad de los candidatos preseleccionados con la selección de Adaface.

85%

Reducción en el tiempo de detección

Ver estudio de caso completo

Docker Hiring Test Preguntas frecuentes

¿Puedo combinar múltiples habilidades en una evaluación personalizada?

Si, absolutamente. Las evaluaciones personalizadas se configuran en función de la descripción de su trabajo e incluirán preguntas sobre todas las habilidades imprescindibles que especifique.

¿Tiene alguna característica anti-trato o procuración en su lugar?

Tenemos las siguientes características anti-trate en su lugar:

Preguntas no postradas
Procuración de IP
Procedor web
Procedores de cámara web
Detección de plagio
navegador seguro

Lea más sobre las funciones de procuración.

¿Cómo interpreto los puntajes de las pruebas?

Lo principal a tener en cuenta es que una evaluación es una herramienta de eliminación, no una herramienta de selección. Una evaluación de habilidades está optimizada para ayudarlo a eliminar a los candidatos que no están técnicamente calificados para el rol, no está optimizado para ayudarlo a encontrar el mejor candidato para el papel. Por lo tanto, la forma ideal de usar una evaluación es decidir un puntaje umbral (generalmente del 55%, lo ayudamos a comparar) e invitar a todos los candidatos que obtienen un puntaje por encima del umbral para las próximas rondas de la entrevista.

¿Para qué nivel de experiencia puedo usar esta prueba?

Cada evaluación de AdaFace está personalizada para su descripción de trabajo/ persona candidata ideal (nuestros expertos en la materia elegirán las preguntas correctas para su evaluación de nuestra biblioteca de más de 10000 preguntas). Esta evaluación se puede personalizar para cualquier nivel de experiencia.

¿Cada candidato tiene las mismas preguntas?

Sí, te hace mucho más fácil comparar los candidatos. Las opciones para las preguntas de MCQ y el orden de las preguntas son aleatorizados. Tenemos características anti-trato/procuración en su lugar. En nuestro plan empresarial, también tenemos la opción de crear múltiples versiones de la misma evaluación con cuestiones de niveles de dificultad similares.