Why you should use Docker Online Test?

The ДОКЕР Тест 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: Понимание оснований и понятий Docker Создание, управление и развертывание изображений Docker Работа с контейнерами Docker и их жизненным циклом Понимание сети Docker и общения между контейнерами Управление объемами и постоянными данными Docker Работа с Docker Compose для определения и управления мультиконтражными приложениями Развертывание и управление услугами с использованием роя Docker Внедрение практики и политики безопасности Docker Орчесструирование контейнеров Docker для крупномасштабных развертываний

Docker Online Test

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

Основы Docker Docker Images Контейнеры Docker Docker Networking Объемы докера Docker Compose Docker Swarm Docker Security Докер оркестровая Docker Устранение неполадок

About the test:

Тест Docker использует MCQ на основе сценариев для оценки кандидатов в их мастерстве в работе с контейнерами Docker, их знаниями о архитектуре Docker, интерфейсе командной строки Docker, синтаксисе DockerFile, сети Docker, томах Docker и Docker Compose. Эти ключевые навыки/темы важны для оценки способности кандидата в развертывание и управление приложениями с использованием Docker.

Covered skills:

Основы Docker
Контейнеры Docker
Объемы докера
Docker Swarm
Докер оркестровая

Docker Images
Docker Networking
Docker Compose
Docker Security
Docker Устранение неполадок

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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:

Способность понимать и объяснять основы Docker
Возможность создавать, управлять и настраивать изображения Docker
Возможность запуска, управления и устранения неполадок докера контейнеров
Возможность настроить и управлять сетью Docker
Возможность работать с объемами докера и устойчивостью данных
Возможность использования Docker Compose для мультиконтражных приложений
Возможность развертывания и управления услугами с помощью Docker Swarm
Способность реализовать меры безопасности в среде Docker
Способность понимать и реализовать оркестровку Docker
Способность устранять устранение распространенных проблем в среде 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

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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

Это лишь небольшая выборка из нашей библиотеки из более чем более 10000 вопросов. Фактические вопросы по этому поводу ДОКЕР Тест будет не подлежащим гугливым.

🧐 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

С помощью Adaface мы смогли оптимизировать первоначальный процесс отбора более чем на 75 %, высвободив драгоценное время как для менеджеров по найму, так и для нашей команды по привлечению талантов!

Brandon Lee, Глава отдела кадров, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment ДОКЕР Тест 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 ДОКЕР Тест 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 ДОКЕР Тест 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:

Понимание оснований и понятий Docker
Создание, управление и развертывание изображений Docker
Работа с контейнерами Docker и их жизненным циклом
Понимание сети Docker и общения между контейнерами
Управление объемами и постоянными данными Docker
Работа с Docker Compose для определения и управления мультиконтражными приложениями
Развертывание и управление услугами с использованием роя Docker
Внедрение практики и политики безопасности Docker
Орчесструирование контейнеров Docker для крупномасштабных развертываний

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?

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 ДОКЕР Тест to be based on.
Установка Docker
Docker Architecture
Dockerfile
Слои изображения Docker
Жизненный цикл контейнера Docker
Docker сетевые режимы
Управление томом Docker
Docker Compose Yaml Syntax
Настройка и конфигурация роя Docker
Масштаб обслуживания Docker
Лучшие практики безопасности Docker
Инструменты оркестровки Docker
Docker Устранение неполадок
Docker CLI команды
Docker Registry
Docker Container Logs
Докер -контейнерные переменные среды
Docker Container проверки здоровья
Управление ресурсами контейнера Docker
Docker Container Intercommunication
Тегирование и версии изображения Docker
Методы оптимизации изображений Docker
Конфигурации сети Docker
Docker громкость резервного копирования и восстановления
Docker Compose Environment переменные
Docker Swarm Service Discovery
Управление узлами Docker Swarm
Сканирование безопасности Docker
Образование оркестровки Docker
Docker Устранение неполадок
Параметры командной строки Docker
Docker изображение кэширование
Параметры запуска контейнера Docker
Docker Container Envolation
Аутентификация реестра изображений Docker
Docker Network маршрутизация
Докладные объемные разрешения
Docker составьте стратегии развертывания
Docker Swarm Bload Balancing
Docker Security Auditing
Мониторинг ресурсов контейнера Docker
Docker Image Slayers Оптимизация
Docker Network Overlays
Docker Volume Drivers
Docker сочиняет масштабирование
Docker Swarm Service
Политики безопасности Docker
Docker Orchestration Oflback
Управление журналом контейнеров Docker
Docker Container Networking Устранение неполадок
Сканирование уязвимости изображения Docker
Docker Compose Network Configuration
Docker Swarm Health проверки
Docker Security Realling
Мониторинг процесса контейнера Docker
Снижение размера изображения Docker
Настройки брандмауэра Docker Network
Стратегии резервного копирования тома Docker
Docker Compose Service Discovery
Docker Swarm Service ограничения
Соответствие безопасности Docker
Оптимизация производительности контейнера Docker
Кэширование слоя изображения Docker
Docker Network Load Balancing
Компания Docker тома
Docker Compose Management Volume
Docker Swarm Secret Management
Уязвимости безопасности Docker
Контейнер Docker Высокая доступность
Стратегии управления изображением Docker
Docker Network Control
Репликация громкости Docker
Docker Compose Vicible Environment Vicile
Docker Swarm Stack развертывание
Docker Security Tools Tools
Выделение ресурсов контейнера Docker
Оптимизация хранения изображений Docker
Docker Network Resolution DNS
Управление размером объема Docker
Docker Compose Service Scalebility
Docker Swarm Multe-Manager Setup
Ответ инцидента с безопасностью Docker
Docker Container roctation
Интеграция управления источником источника изображения Docker
Оптимизация задержки сети Docker
Docker громкость настройка производительности
Docker Compose Management зависимости
Docker Swarm Service Rolling Updates
Сканирование соответствия безопасности Docker
Docker Container Debug Logging
Docker Image Multiarch Support
Конфигурация шлюза Docker Network
Снимок громкости Docker
Docker Compose Container связывается
Docker Swarm Multi-Cluster Setup
Docker Security Control Access
Агрегация журнала контейнеров Docker
Docker Image Artifact Management

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What roles can I use the Docker Online Test for?

Docker Developer
Инженер DevOps
Инженер по надежности сайта
Инженер инфраструктуры
Специалист по контейнеризации
Бэкэнд -разработчик

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

Проектирование и внедрение инфраструктуры Docker
Строительство устойчивой и масштабируемой архитектуры Docker
Реализация оркестровки контейнеров с Kubernetes и Docker
Интеграция Docker с трубопроводами CI/CD
Управление Docker в облачных средах
Контейнеры и приложения для мониторинга и регистрации.
Внедрение высокой доступности и устойчивости к разломам в развертываниях Docker
Автоматизация задач Docker с использованием сценариев и инструментов автоматизации
Выполнение оптимизации изображения Docker и уменьшения размера
Настройка и управление расширенным сетью Docker

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Менеджеры по найму чувствовали, что с помощью технических вопросов, которые они задавали во время групповых собеседований, они могли определить, какие кандидаты имеют более высокие баллы, и отличиться от тех, кто не набрал таких же баллов. Они есть очень доволен с качеством кандидатов, включенных в шорт-лист отбора Adaface.

85%

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Docker Hiring Test Часто задаваемые вопросы

Могу ли я объединить несколько навыков в одну пользовательскую оценку?

Да, конечно. Пользовательские оценки настроены на основе вашей должности и будут включать вопросы по всем необходимым навыкам, которые вы указываете.

Есть ли у вас какие-либо функции против Chating или Proctoring?

У нас есть следующие функции антихиализации:

Необъемлющие вопросы
IP Proctoring
Веб -прокторинг
Веб -камера Proctoring
Обнаружение плагиата
Безопасный браузер

Узнайте больше о функциях Proctoring.

Как мне интерпретировать результаты тестов?

Основная вещь, которую нужно помнить, это то, что оценка - это инструмент устранения, а не инструмент отбора. Оценка навыков оптимизирована, чтобы помочь вам устранить кандидатов, которые технически не имеют квалификации для этой роли, она не оптимизирована, чтобы помочь вам найти лучшего кандидата на роль. Таким образом, идеальный способ использования оценки - определить пороговый балл (обычно 55%, мы помогаем вам сравнить) и пригласить всех кандидатов, которые забивают выше порога для следующих раундов интервью.

На каком уровне опыта я могу использовать этот тест?

Каждая оценка Adaface настроена на ваш инструкции/ Идеальный кандидат (наши эксперты по предметам выберут правильные вопросы для вашей оценки из нашей библиотеки из 10000+ вопросов). Эта оценка может быть настроена для любого уровня опыта.

Каждый кандидат получает одинаковые вопросы?

Да, вам намного проще сравнить кандидатов. Варианты для вопросов MCQ и порядок вопросов рандомизированы. У нас есть против Chating/Proctoring. В нашем плане предприятия у нас также есть возможность создать несколько версий одной и той же оценки с вопросами аналогичных уровней сложности.