November 25, 2024November 25, 2024 vibssingh

Jenkins Multiple Choice Questions – MCQ2

Last Updated On

November 25, 2024

Welcome to the Jenkins Quiz! This blog post features 25 multiple-choice questions that explore essential concepts of Jenkins.

1. Which plugin helps in visually modeling your Jenkins pipeline and improving the user experience?

Select the best answer

A) Pipeline Plugin
B) Blue Ocean Plugin
C) Job DSL Plugin
D) Pipeline Stage View Plugin

Answer

2. What happens when a plugin update requires a restart in Jenkins?

Choose one option

A) Jenkins automatically restarts without notification
B) The update is applied immediately without any restart
C) Jenkins notifies you and allows you to decide when to restart
D) The plugin is updated only after all builds are completed

Answer

3. How can you configure multiple versions of Git in Jenkins?

Choose one option

A) Install the Git Plugin and configure versions in each job
B) Install multiple versions in the system and select one during job configuration
C) Use Global Tool Configuration to add different Git versions
D) Jenkins does not support multiple Git versions

Answer

4. In Jenkins, which plugin would you use to set up static code analysis?

Choose one option

A) SonarQube Scanner Plugin
B) GitHub Plugin
C) Email Extension Plugin
D) Pipeline Plugin

Answer

5. How do you remove an installed plugin in Jenkins?

Choose one option

A) Manually delete the plugin from the Jenkins directory
B) Use the CLI to remove it
C) Go to Manage Plugins and uninstall the plugin from the Installed tab
D) Plugins cannot be uninstalled

Answer

6. What is the purpose of the Jenkins Artifacts?

A) To provide a log of the builds that have been performed in Jenkins
B) To manage the configuration of Jenkins
C) To store build artifacts generated by the build process
D) To enable Jenkins to communicate with external systems

Answer

7. What is the purpose of the Jenkins Build History?

A) To provide a log of the builds that have been performed in Jenkins
B) To manage the configuration of Jenkins
C) To generate reports on the status of Jenkins jobs
D) To enable Jenkins to communicate with external systems

Answer

8. What is the Jenkins Global Tool Configuration?

Choose one option

A) A feature that allows users to configure global settings in Jenkins
B) A plugin that provides additional functionality to Jenkins
C) A tool used to manage the installation of software on Jenkins nodes
D) A tool used to manage the distribution of work to Jenkins slaves

Answer

9. What is the purpose of the Jenkins Dashboard?

Choose one option

A) To provide an overview of the status of Jenkins jobs
B) To manage the configuration of Jenkins
C) To generate reports on the status of Jenkins jobs
D) To enable Jenkins to communicate with external systems

Answer

10. What does the “workspace” in Jenkins refer to?

Choose one option

A) A specific plugin’s settings page
B) A folder where Jenkins builds and stores files for a job
C) A project created by Jenkins users
D) A shared Jenkins repository for storing jobs

Answer

11. Jenkins can be integrated with which of the following version control systems?

Choose one option

A) Git
B) Subversion (SVN)
C) Mercurial
D) All of the above

Answer

12. Which type of trigger can be used in Jenkins to start a job automatically?

Choose one option

A) Manual trigger
B) SCM polling trigger
C) Post-build trigger
D) Automated backup trigger

Answer

13. Jenkins pipelines are defined using which language?

Choose one option

A) YAML
B) Groovy
C) XML
D) Python

Answer

14. What is a Jenkins “node”?

Choose one option

A) A code block in a Jenkins pipeline
B) A machine that Jenkins can use to execute jobs
C) A Jenkins plugin
D) A configuration file

Answer

15. What is a “Declarative Pipeline” in Jenkins?

Choose one option

A) A pipeline defined in a Jenkins job configuration
B) A pipeline that uses the Groovy DSL for defining steps
C) A more structured and simplified way to define pipelines
D) A pipeline written in YAML format

Answer

16. Given the following Selenium WebDriver code, what does `.sendKeys(Keys.TAB)` achieve?

Choose one option

A) Jenkins Master is the central server, while Jenkins Slave is a remote agent
B) Jenkins Master is responsible for building the software, while Jenkins Slave is responsible for testing it
C) Jenkins Master is a component of Jenkins, while Jenkins Slave is a separate tool
D) Jenkins Master is used for local builds, while Jenkins Slave is used for cloud-based builds

Answer

17. Which of the following is not a Jenkins plugin?

Choose one option

A) Git
B) Maven
C) Jenkinsfile
D) Slack

Answer

18. What is the Jenkins Pipeline Syntax?

Choose one option

A) A syntax used to define the build process in Jenkins
B) A syntax used to define the configuration of Jenkins
C) A syntax used to define the structure of Jenkins plugins
D) A syntax used to define the communication protocols used by Jenkins

Answer

19. What is the purpose of the Jenkinsfile Validator?

A) To validate the syntax of Jenkinsfiles
B) To validate the configuration of Jenkins
C) To validate the functionality of Jenkins plugins
D) To validate the results of Jenkins builds

Answer

20. What is the purpose of the Jenkins Build Executor?

Choose one option

A) To manage the configuration of Jenkins
B) To execute Jenkins jobs on Jenkins Nodes
C) To generate reports on the status of Jenkins jobs
D) To enable Jenkins to communicate with external systems

Answer

21. What is the purpose of the Jenkins Build Queue?

A) To manage the configuration of Jenkins
B) To execute Jenkins jobs on Jenkins Nodes
C) To generate reports on the status of Jenkins jobs
D) To queue Jenkins jobs for execution by the Build Executor

Answer

22. What is the purpose of the Jenkins Artifacts?

Answer

23. What is the Jenkins Authentication Mechanism?

A) A tool used to manage the installation of software on Jenkins nodes
B) A feature that allows users to configure global settings in Jenkins
C) A tool used to manage the distribution of work to Jenkins slaves
D) A mechanism used to authenticate users in Jenkins

Answer

24. What is the Jenkins Master?

A) The primary node in a Jenkins cluster
B) A tool used to manage the installation of software on Jenkins nodes
C) A tool used to manage the distribution of work to Jenkins slaves
D) The machine on which the Jenkins server is installed

Answer

25. What is a Jenkins Slave?

A) A tool used to manage the installation of software on Jenkins nodes
B) A tool used to manage the distribution of work to Jenkins slaves
C) A machine that is configured to execute builds for a Jenkins Master
D) The primary node in a Jenkins cluster

Answer

====================================================================

November 13, 2024 vibssingh

Jenkins Multiple Choice Answers – MCQ1

Last Updated On

HOME

Welcome to the Jenkins Quiz!

Jenkins Multiple Choice Questions – MCQ1

Answers

1) B) A continuous integration/continuous delivery (CI/CD) tool

2) C) Java

3) C) Automating parts of the software development process

4) B) java -jar jenkins.war

5) D) Jenkins Client

Jenkins Client is not a core component of Jenkins. The core components of Jenkins include Jenkins Master, Jenkins Slave, and Jenkins Node.

6) B) A unit of work that Jenkins executes

7) C) Source Code Management

8) D) All of the above

9) B) A piece of software that provides additional functionality to Jenkins

A Jenkins plugin is a piece of software that provides additional functionality to Jenkins. There are thousands of plugins available for Jenkins, including plugins for source control, build tools, and notification systems.

10) C) Manage Plugins under Manage Jenkins

11) B) A tool used to manage the installation of plugins in Jenkins

The Jenkins Plugin Manager is a tool used to manage the installation of plugins in Jenkins. It allows users to search for and install new plugins, update existing plugins, and configure plugin settings.

12) C) Access “Manage Plugins” in Jenkins and install from the available plugins list

13) D) All of the above

14) C) To define tools like JDK, Maven, and Git that are available to Jenkins jobs

15) D) To manage security settings for Jenkins

The Jenkins Security Plugin is used to manage security settings for Jenkins. It allows users to define users, groups, and permissions for accessing Jenkins resources, ensuring that only authorized users can perform actions in Jenkins.

16) D) To create backups of Jenkins configurations and jobs

The Jenkins Backup Plugin is used to create backups of Jenkins configurations and jobs. It allows users to easily restore a Jenkins server in the event of a failure or to migrate to a new server.

17) B) To enable Jenkins to communicate with external systems

The Jenkins Notification Plugins are used to enable Jenkins to communicate with external systems. They allow users to send notifications, such as build results or deployment status, to other systems, such as chat services or email.

18) A) An interface used to interact with Jenkins via HTTP requests

The Jenkins REST API is an interface used to interact with Jenkins via HTTP requests. It allows users to perform common tasks, such as triggering builds or retrieving build results, using simple HTTP calls.

19) A) A command-line interface used to interact with a Jenkins server

The Jenkins CLI is a command-line interface used to interact with a Jenkins server. It allows users to perform common tasks, such as creating jobs or triggering builds, from the command line.

20) C) Docker Pipeline Plugin

21) B) Manage Plugins > Updates tab

22) D) All of the above

23) C) Global Tool Configuration

24) D) All of the above

25) B) Manage Jenkins > Global Tool Configuration

November 13, 2024November 13, 2024 vibssingh

Jenkins Multiple Choice Questions – MCQ1

Last Updated On

November 13, 2024

HOME

Welcome to the Jenkins Quiz! This blog post features 25 multiple-choice questions that explore essential concepts of Jenkins.

1. What is Jenkins?

Select the best answer

A) A database management tool
B) A continuous integration/continuous delivery (CI/CD) tool
C) A programming language
D) An integrated development environment (IDE)

Answer

2. Which programming language is Jenkins written in?

Choose one option

A) Python
B) C#
C) Java
D) Ruby

Answer

3. Jenkins is primarily used for which of the following purposes?

Choose one option

A) Code debugging
B) Managing cloud infrastructure
C) Automating parts of the software development process
D) Version control

Answer

4. Which of the following commands is used to start Jenkins on a local machine?

Choose one option

A) jenkins -start
B) java -jar jenkins.war
C) python start jenkins.py
D) jenkins start server

Answer

5. Which of the following is not a core component of Jenkins?

A) Jenkins Master
B) Jenkins Slave
C) Jenkins Node
D) Jenkins Client

Answer

6. In Jenkins, what is a “job”?

Choose one option

A) A process to install plugins
B) A unit of work that Jenkins executes
C) A repository of version-controlled code
D) A test automation tool

Answer

7. What does SCM stand for in Jenkins?

A) Server Configuration Management
B) Software Configuration Monitoring
C) Source Code Management
D) Secure Content Management

Answer

8. Jenkins can be integrated with which of the following version control systems?

Choose one option

A) Git
B) Subversion (SVN)
C) Mercurial
D) All of the above

Answer

9. What is a Jenkins plugin?

Choose one option

A) A set of scripts that automate the building of software
B) A piece of software that provides additional functionality to Jenkins
C) A configuration file that defines the build process in Jenkins
D) A report generated by Jenkins after a build is complete

Answer

10. Where can you manage plugins in Jenkins?

Choose one option

A) Jenkins CLI
B) Global Tool Configuration
C) Manage Plugins under Manage Jenkins
D) Jenkins Dashboard Home Page

Answer

11. What is the Jenkins Plugin Manager?

Choose one option

A) A feature that allows users to configure global settings in Jenkins
B) A tool used to manage the installation of plugins in Jenkins
C) A tool used to manage the installation of software on Jenkins nodes
D) A tool used to manage the distribution of work to Jenkins slaves

Answer

12. How can you install a new plugin in Jenkins?

Choose one option

A) Manually download the plugin file and move it to the Jenkins installation directory
B) Use the “Install Plugin” option in Global Tool Configuration
C) Access “Manage Plugins” in Jenkins and install from the available plugins list
D) Jenkins does not support plugin installations

Answer

13. Which of the following plugins allows integration between Jenkins and Git?

Choose one option

A) Git Plugin
B) GitHub API Plugin
C) GitLab Plugin
D) All of the above

Answer

14. What is the purpose of the “Global Tool Configuration” in Jenkins?

Choose one option

A) To configure global security settings
B) To manage system logs
C) To define tools like JDK, Maven, and Git that are available to Jenkins jobs
D) To configure job-level parameters

Answer

15. What is the purpose of the Jenkins Security Plugin?

Choose one option

A) To manage the installation of plugins in Jenkins
B) To manage the distribution of work to Jenkins slaves
C) To enable Jenkins to communicate with external systems
D) To manage security settings for Jenkins

Answer

16. What is the purpose of the Jenkins Backup Plugin?

Choose one option

A) To manage the installation of plugins in Jenkins
B) To manage the distribution of work to Jenkins slaves
C) To enable Jenkins to communicate with external systems
D) To create backups of Jenkins configurations and jobs

Answer

17. What is the purpose of the Jenkins Notification Plugins?

Choose one option

A) To manage the installation of plugins in Jenkins
B) To enable Jenkins to communicate with external systems
C) To define Jenkins jobs in code
D) To extend the functionality of Jenkins

Answer

18. What is the Jenkins REST API?

Choose one option

A) An interface used to interact with Jenkins via HTTP requests
B) A tool used to manage the installation of software on Jenkins nodes
C) A tool used to manage the distribution of work to Jenkins slaves
D) A graphical user interface used to interact with a Jenkins server

Answer

19. What is the Jenkins CLI?

Choose one option

A) A command-line interface used to interact with a Jenkins server
B) A graphical user interface used to interact with a Jenkins server
C) A tool used to manage the installation of software on Jenkins nodes
D) A tool used to manage the distribution of work to Jenkins slaves

Answer

20. Which plugin would you use for integrating Jenkins with Docker?

Choose one option

A) Docker Plugin
B) Kubernetes Plugin
C) Docker Pipeline Plugin
D) Docker Hub Plugin

Answer

21. Where would you go to install updates for Jenkins plugins?

Choose one option

A) Jenkins CLI
B) Manage Plugins > Updates tab
C) Global Tool Configuration > Updates
D) Jenkinsfile configuration

Answer

22. Which of the following plugins provides support for building and testing Java projects in Jenkins?

Choose one option

A) Ant Plugin
B) Maven Plugin
C) JUnit Plugin
D) All of the above

Answer

23. If you want to use different versions of the JDK in your Jenkins jobs, where would you configure these?

Choose one option

A) Job-level configuration
B) Manage Plugins section
C) Global Tool Configuration
D) Configure System settings

Answer

24. Which of the following plugins is essential for generating test reports in Jenkins?

Choose one option

A) TestNG Plugin
B) JUnit Plugin
C) Performance Plugin
D) All of the above

Answer

25. Jenkins supports multiple tool configurations such as JDK and Maven under which of the following sections?

Choose one option

A) Jenkins Job Configuration
B) Manage Jenkins > Global Tool Configuration
C) Build Triggers
D) Configure Security

Answer

====================================================================

October 14, 2024 vibssingh

DevOps Multiple Choice Answers – MCQ1

Last Updated On

HOME

Welcome to the DevOps Quiz! This blog post features answers to DevOps questions that explore key DevOps concepts, covering foundational principles and commonly used tools in a typical DevOps pipeline.

DevOps Multiple Choice Questions – MCQ1

Answers

1) a) Development Operations

2) b) Continuous Integration

CI stands for Continuous Integration, a practice where developers integrate code into a shared repository frequently.

3) a)Jenkins

Jenkins is a widely used open-source tool that facilitates both Continuous Integration and Continuous Deployment.

4) b) It involves moving code in large amounts

Continuous Integration in Agile typically involves moving code in small, frequent intervals rather than large amounts. This helps in the early detection of integration issues and ensures that changes are regularly integrated into a shared repository, reducing the risk of conflicts and improving overall collaboration.

5) d) Version Control, Build,Auto Test, Deploy

6) a) Operating

7) b) Implants Manual Errors

8) d) Jira

Chef, Puppet, and Ansible are configuration management tools, Jira is an issue and project tracking tool.

9) c) Containerization

Docker is primarily known for creating, deploying, and running applications in containers.

10) c) Container orchestration

Kubernetes is a platform designed to manage containerized workloads and services.

11) d) Git

Git is a distributed version control system commonly used in the DevOps world.

12) a)Version control

Version control systems are tools that allow teammates to track and manage changes made to a file or set of files.

13) c) Infrastructure as Code

IaC or Infrastructure as Code is a method to provision and manage IT infrastructure through code and automation.

14) c) Reduced recovery time after failures

15) b) Incorporating operations earlier in the development cycle

16) c) Collaboration and sharing between teams

17) a) Writing scripts (code) to automate infrastructure deployment

18) b) Test

19) b) Culture, Automation, Lean, Measurement, Sharing

20) c) Ansible

Ansible is a popular tool for configuration management, automating tasks such as software configuration and deployment.

21) c) Slack

22) c) Deploys changes gradually to reduce the impact on users.

23) d) Acceptance Testing

24) c) Continuous Integration

25) b) Containers have a smaller footprint and faster startup times.

October 14, 2024October 14, 2024 vibssingh

DevOps Multiple Choice Questions – MCQ1

Last Updated On

October 14, 2024

HOME

Welcome to the DevOps Quiz! This blog post features 25 multiple-choice questions that explore key DevOps concepts, covering foundational principles and commonly used tools in a typical DevOps pipeline.

1. What does ‘DevOps’ stand for?

Select the best answer

Development Operations
Device Operations
Deviant Operations
Developer’s Operations

Answer

2. What does CI in CI/CD stand for?

Choose one option

a) Continuous Input
b) Continuous Integration
c) Continuous Improvement
d) Continuous Installation

Answer

3. Which tool is commonly used for Continuous Integration and Continuous Deployment (CI/CD)?

Choose one option

a) Jenkins
b) Docker
c) Git
d) Ansible

Answer

4. Which of the following is NOT true of continuous integration in Agile?

Choose one option

a) It involves moving code from a development to test environment
b) It involves moving code in large amounts
c) It involves moving code in frequent intervals
d) It is most effectively done through automation

Answer

5. Flow of the CICD pipeline

Choose one option

a) Build, Deploy,version control,Auto test
b) Build, Deploy, Auto Test, Unit Test
c) Version Control, Build, Deploy, Auto Test
d) Version Control, Build,Auto Test, Deploy

Answer

6. Which of the following is not a part of DevOps lifecycle __

a) Operating
b) Plan
c) Build
d) Code

Answer

7. Which of the following is not a benefit of Automation in DevOps?

a) Enables anyone to perform tasks
b) Implants Manual Errors
c) Enables Speed, Reliability and Consistency
d) None of the Above

Answer

8. Which of the following is NOT a configuration management tool?

Choose one option

a) Chef
b) Puppet
c) Ansible
d) Jira

Answer

9. What is Docker primarily used for?

Choose one option

a) Version Control
b) Continuous Integration
c) Containerization
d) Project Management

Answer

10. What’s the primary purpose of Kubernetes?

Choose one option

a) Source code management
b) Automated testing
c) Container orchestration
d) Configuration management

Answer

11. Which tool is mainly used for version control in DevOps?

Choose one option

a) Jenkins
b) Docker
c) Kubernetes
d) Git

Answer

12. ___ consists of a central shared repository where teammates can commit changes to a file or set of files.

Choose one option

a) Version control
b) Central Repository
c) Risk Filters
d) None of the above

Answer

13. What does IaC stand for in DevOps?

Choose one option

a) Infrastructure as Computer
b) Integration and Configuration
c) Infrastructure as Code
d) Input and Compute

Answer

14. Which of the following is a benefit of implementing DevOps?

Choose one option

a) Slower release cycles
b) Less collaboration between teams
c) Reduced recovery time after failures
d) Increased infrastructure cost

Answer

15. In DevOps, what does “shift left” refer to?

Choose one option

a) Delaying testing to the end of the development cycle
b) Incorporating operations earlier in the development cycle
c) Left-aligning code
d) Outsourcing operations

Answer

16. Which of the following represents a cultural aspect of DevOps?

Choose one option

a) Using Docker
b) Automation scripts
c) Collaboration and sharing between teams
d) Writing Infrastructure as Code

Answer

17. What is Infrastructure as Code (IaC)?

Choose one option

a) Writing scripts (code) to automate infrastructure deployment
b) Using code repositories to store infrastructure information
c) Documenting infrastructure requirements
d) Writing application code that supports multiple infrastructure setups

Answer

18. In which phase are automated tests primarily run in a CI/CD pipeline?

Choose one option

a) Build
b) Test
c) Deploy
d) Monitor

Answer

19. What does the acronym “CALMS” stand for in the context of DevOps?

a) Code, Automation, Logs, Monitoring, Security
b) Culture, Automation, Lean, Measurement, Sharing
c) Continuous Application Lifecycle Management System
d) Code, Automation, Lifecycle, Monitoring, Systems

Answer

20. Which tool is used for configuration management?

Choose one option

a) Git
b) Nagios
c) Ansible
d) Jira

Answer

21. In a DevOps environment, effective collaboration between development and operations teams is crucial. As the DevOps manager, you want to implement practices that enhance communication and cooperation. Which collaboration tool or platform would be most suitable for fostering real-time collaboration and knowledge sharing among team members?

a) GitLab
b) Jenkins
c) Slack
d) Docker

Answer

22. The DevOps team at Microsoft Azure Corp is transitioning from manual to automated deployment processes. To ensure a smooth transition, the team decides to implement Blue-Green deployment. What is the primary advantage of using Blue-Green deployment in the context of minimizing downtime during releases?

a) Allows for rollback to the previous version in case of issues.
b) Requires minimal automation tools for implementation.
c) Deploys changes gradually to reduce the impact on users.
d) Completely halts the production environment during deployment.

Answer

23. The DevOps team at Global Solutions is planning to implement a CI/CD pipeline for a complex software application. Considering the importance of automated testing in the pipeline, what type of testing is most appropriate for validating the overall functionality and user experience of the application?

a) Unit Testing
b) Integration Testing
c) System Testing
d) Acceptance Testing

Answer

24. The DevOps team at Google Cloud Computing is tasked with improving the efficiency of their continuous delivery process. What practice can significantly contribute to achieving faster and more reliable software releases by automating the build, test, and deployment stages?

a) Manual Deployment
b) Feature Branching
c) Continuous Integration
d) Periodic Code Review

Answer

25. The DevOps team at Agile Innovations is adopting a containerization strategy using Docker for their microservices. To optimize resource utilization, what is a key benefit of using containers compared to traditional virtual machines?

a) Containers provide stronger isolation between applications.
b) Containers have a smaller footprint and faster startup times.
c) Containers are suitable only for monolithic applications.
d) Containers are less portable across different environments.

Answer

====================================================================

May 16, 2024November 3, 2025 vibssingh

Multiple Choice Questions

Last Updated On

November 3, 2025

HOME

Table Of Contents

Programming Languages

Java

Java – Multiple Choice Questions and Answers – Basic Java – NEW

Java – Multiple Choice Questions and Answers – Method, Overloading, Overriding – NEW

Java – Multiple Choice Questions and Answers – Exception Handling – NEW

Java – Multiple Choice Questions and Answers – Strings – NEW

Java – Multiple Choice Questions and Answers – Arrays – Coming Soon

Java – Multiple Choice Questions and Answers – Inheritance & Polymorphism – NEW

Test Automation Frameworks

Selenium

Selenium Multiple Choice Questions – MCQ1

Selenium Multiple Choice Questions – MCQ2

Selenium Multiple Choice Questions – MCQ3

Advance Selenium

Advance Selenium Multiple Choice Questions – MCQ1

Advance Selenium Multiple Choice Questions – MCQ2

Robot Framework

Robot Framework Multiple Choice Questions – MCQ1

Robot Framework Multiple Choice Questions – MCQ2

JUnit4

JUnit Multiple Choice Questions – MCQ1

TestNG

TestNG Multiple Choice Questions – MCQ1

API Testing

Rest API

Rest API Multiple Choice Questions – MCQ1

Rest API Multiple Choice Questions – MCQ2

Pytest Framework

Pytest Multiple Choice Questions – MCQ1

Pytest Multiple Choice Questions – MCQ2

DevOps & Continuous Integration/Continuous Deployment (CI/CD)

DevOps

DevOps Multiple Choice Questions – MCQ1

DevOps Multiple Choice Questions – MCQ2

Jenkins

Jenkins Multiple Choice Questions – MCQ1

Jenkins Multiple Choice Questions – MCQ2

Version Control Systems

Git

Git Multiple Choice Questions – MCQ1

Git Multiple Choice Questions – MCQ2

GitHub

GitHub Multiple Choice Questions – MCQ1

Containerization

Docker

Docker – Basic Level – Multiple Choice Questions and Answers – MCQ1

Docker – Advance Level – Multiple Choice Questions and Answers – MCQ1

Database

SQL

SQL Multiple Choice Questions – MCQ1

SQL Multiple Choice Questions – MCQ2

SQL Multiple Choice Questions – MCQ3

Types of Testing

Security Testing

Multiple Choice Questions for Security Testing on API Testing

Multiple Choice Questions for Security Testing on Web Application

Performance Testing

Performance Testing – Multiple Choice Questions and Answers – MCQ1 – NEW

JMeter Multiple Choice Questions – MCQ1

JMeter Multiple Choice Questions – MCQ2

ETL Testing

ETL Testing – Multiple Choice Questions and Answers – MCQ1 – NEW

ETL Testing – Multiple Choice Questions and Answers – MCQ2 – NEW

April 30, 2024April 4, 2025 vibssingh

How to run PyTest Framework in GitHub Actions

Last Updated On

April 4, 2025

HOME

This tutorial explains the steps to create a GitHub Action for the PyTest Framework. It also guides you on how to execute the tests in that workflow.

Table of Contents

Why GitHub?

GitHub is a collaborative platform. It supports version control and code collaboration. Automated testing and issue tracking are also supported. These are crucial elements in the software testing process. It promotes transparency, collaboration, and efficiency in the development and testing workflows.

CI/CD pipelines have contributed to the success of the DevOps cycle in all software development projects. This is a holistic process that bridges development and operations. Continuous integration helps development teams deploy code efficiently, and continuous delivery automates code deployment.

Implementation Steps

Step 1 – Create GitHub Actions and Workflows

I have a repository available in GitHub – “PyTest_Framework” as shown in the below image. Go to the “Actions” tab. Click on the “Actions” tab.

Step 2 – Select the type of Actions

You will see that GitHub recommends Actions depending on the project. In our case, it is recommending actions suitable for a Java project. I have selected the “Python application” option as my project is built in Maven.

Step 3 – Generation of Sample pipeline

If you choose an existing option, it will automatically generate a .yaml for the project as shown below.

We will replace the current workflow with the following yml file as shown below:

name: PyTest Framework - Python
on:
  push:
    branches: [ "main" ]
  pull_request:
    branches: [ "main" ]

permissions:
  contents: read

jobs:
  test:
    runs-on: ubuntu-latest

    steps:
      - uses: actions/checkout@v4
      - name: Set up Python 3.12.1
        uses: actions/setup-python@v4
        with:
          python-version: 3.12.1

      - name: Install dependencies
        run: |
          python -m pip install --upgrade pip
          pip install pytest
          pip install pytest-selenium
   
      - name: Test with PyTest
        run: pytest --html=tests/Reports/Report.html  

      - name: Test Report Generation
        uses: actions/upload-artifact@v4
        if: success() || failure()
        with:
          name: Pytest Report           # Name of the folder
          path: tests/Reports           # Path to test results

This command will update the Python’s Pip version to the latest available.

python -m pip install --upgrade pip

As we need pytest and pytest-selenium to execute the tests, we have installed them also using the below command:

pip install pytest
pip install pytest-selenium

We want the HTML Report to be generated in tests/Reports folder. So, we have mentioned the path.

  - name: Test with PyTest
    run: pytest --html=tests/Reports/Report.html

Step 4 – Commit the changes

After the changes, hit the “Start Commit” button.

This will give the option to add a description for the commit. It will also enable the user to commit either to the main branch or commit to any other branch that exists in the project. My personal prefernece is to create a new branch like shown below and then commit the changes in that new branch.

If you have created a new branch, then it will ask to create a PULL request. Once you will create the PULL request, we can see the new workflow running.

It will create a python-app.yml file as shown below in the project.

Step 5 – Verify that the workflow is running

Next, head over to the “Actions” tab, and you will see your YAML workflow file present under the tab. The yellow sign represents that the job is in the queue.

In Progress – When the job starts building and running, you will see the status change from “Queued” to “In progress”.

Passed – If the build is successful, you will see a green tick mark.

Below is the execution log. Go to “Test with PyTest“ phase.

Click on the workflow and the below screen is displayed. It shows the status of the run of the workflow, the total time taken to run the workflow, and the name of the .yml file.

Below shows all the steps of the workflow.

Step 6 – Published Test Report on GitHub

From the logs of the Workflow, you can see that the “Test Report Generation” step was executed successfully.

Once the pipeline run, a Report folder will be generated as shown in the below image:

When we click on the folder PyTest Report, a zipped file will be downloaded. We can extract it to see all the files contained within it.

Extract the folder and see the Report.html.

Below is the image of Report.html.

The complete code can be found here on GitHub – vibssingh/PyTest_Framework.

Congratulations! We just created our CI workflow for running our Python Robot Framework.

January 29, 2024 vibssingh

How to run Python Rest API tests with GitHub Actions

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This tutorial explains the steps to create a GitHub Action for the Rest API tests built in Python and execute the tests in that workflow.

Table of Contents

Why GitHub?

GitHub Actions are automated tasks, or workflows, that you can set up in your repository to build, test, package, release, and deploy any project on GitHub. With GitHub Actions, you can orchestrate any workflow, based on nearly any event, while GitHub manages the execution, provides rich feedback, and secures every step along the way.

Why should you care? Well, imagine merging your code into the main branch, only to realize later that it broke your build. With GitHub Actions, you can automate your unit tests to run on every push or pull request, thereby catching bugs before they creep into your production code. This means less time debugging and more time developing!

Implementation Steps

Step 1 – Create GitHub Actions and Workflows

I have a repository available in GitHub – RestAPITesting_Python as shown in the below image. Go to the “Actions” tab. Click on the “Actions” tab.

Step 2 – Select the type of Actions

You will see that GitHub recommends Actions depending on the project. In our case, it is recommending actions suitable for a Python project. I have selected the “Python application” option.

Step 3 – Generation of Sample pipeline

If you choose an existing option, it will automatically generate a .yaml for the project as shown below.

We will replace the current workflow with the following yml file as shown below:

# This workflow will install Python dependencies, run tests and lint with a single version of Python
# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python

name: Python application

on:
  push:
    branches: [ "main" ]
  pull_request:
    branches: [ "main" ]

permissions:
  contents: read

jobs:
  build:

    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v3
    - name: Set up Python 3.12.1
      uses: actions/setup-python@v3
      with:
        python-version: "3.12.1"
   
    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        pip install pytest
        pip install requests
       
    - name: Test with pytest
      run: |
        cd TestCases
        pytest  --verbose --capture=no

Step 4 – Commit the changes

After the changes, hit the “Start Commit” button.

This will give the option to add a description for the commit. It will also enable the user to commit either to the main branch or commit to any other branch that exists in the project. Click on the “Commit new file” button to set up the workflow file.

It will create a python-app.yml file as shown below in the project.

Step 5 – Verify that the workflow is running

Next, head over to the “Actions” tab, and you will see your YAML workflow file present under the tab. The yellow sign represents that the job is in the queue.

In Progress – When the job starts building and running, you will see the status change from “Queued” to “in progress”.

Passed – If the build is successful, you will see a green tick mark.

Step 6 – Verify the execution status

Below is the execution log.

Click on the workflow and the below screen is displayed. It shows the status of the run of the workflow, the total time taken to run the workflow, and the name of the .yml file.

Below shows all the steps of the workflow.

The complete code can be found here on GitHub – vibssingh/RestAPITesting_Python.

Congratulations! We just created our CI workflow for running our Rest API test cases for Python.

January 5, 2024 vibssingh

How to host Extent Report on GitHub Pages with Github Actions

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This tutorial explains the steps to host Extent Reports on GitHub Pages with GitHub Actions.

Table of Contents

What is GitHub Action?

GitHub Actions is a continuous integration and continuous delivery (CI/CD) platform that allows you to automate your build, test, and deployment pipeline. You can create workflows that build and test every pull request to your repository, or deploy merged pull requests to production.

What is a GitHub Page?

GitHub Pages is a static site hosting service that takes HTML, CSS, and JavaScript files straight from a repository on GitHub, optionally runs the files through a build process, and publishes a website.

With GitHub Pages, we get a subdomain as github.io. To host your site, first and foremost thing is we need to have a GitHub account and a repository that will have our Automation code to run the Test Cases. Secondly, your site will be named as <username>.github.io

Why use GitHub Page to host the Report?

As automation testers, we are familiar with the challenges of sharing daily or weekly status reports on the progress of our automation efforts with management. Typically, we rely on tools like Extent Report or Allure Report and send these reports via email for management to review the current status of our automation progression or regression. However, there is a more efficient solution available: leveraging GitHub Pages to host our automation report.

By using GitHub Pages, we can eliminate the pain of manually sending reports to management and instead provide them with a simple URL. This means that whenever management wants to check the latest update on our automation progress, they can simply browse through the provided URL.

Important points

1. The Web Application tests need to run in the headless mode in GitHub Workflow.

          ChromeOptions options = new ChromeOptions();
          options.addArguments("--no-sandbox");
          options.addArguments("--disable-dev-shm-usage");
          options.addArguments("--headless");
	      driver = new ChromeDriver(options);

2. Use the below code to use gh-pages branch to host the Extent Report:

    - name: Deploy pages
      uses: JamesIves/github-pages-deploy-action@v4.5.0
      with:
        branch: gh-pages
        folder: ./ExtentReport/Reports

Implementation Steps

Step 1 – Create GitHub Actions and Workflows

I have a repository available in GitHub – ExtentReport_GitHubActions as shown in the below image. Go to the “Actions” tab. Click on the “Actions” tab.

Step 2 – Select the type of Actions

You will see that GitHub recommends Actions depending on the project. In our case, it is recommending actions suitable for a Java project. I have selected the “Java with Maven” option as my project is built in Maven.

Step 3 – Generation of Sample pipeline

If you choose an existing option, it will automatically generate a .yaml for the project as shown below.

We will replace the current workflow with the following yml file that will generate the ExtentReport in the GitHub as shown below:

name: ExtentReport

on:
  push:
    branches: [ "main" ]
  pull_request:
    branches: [ "main" ]

jobs:
  build:

    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v3
    - name: Set up JDK 17
      uses: actions/setup-java@v3
      with:
        java-version: '17'
        distribution: 'temurin'
        cache: maven
    - name: Build with Maven
      run: mvn clean test

    - name: Deploy pages
      uses: JamesIves/github-pages-deploy-action@v4.5.0
      with:
        branch: gh-pages
        folder: ./ExtentReport/Reports

Step 4 – Commit the changes

After the changes, hit the “Start Commit” button.

This will give the option to add a description for the commit. It will also enable the user to commit either to the main branch or commit to any other branch that exists in the project. Click on the “Commit new file” button to set up the workflow file.

It will create a maven.yml file as shown below in the project.

Step 5 – Verify that the workflow is running

Next, head over to the “Actions” tab, and you will see your YAML workflow file present under the tab. The yellow sign represents that the job is in the queue. The pipeline will fail. It is because gh-pages is not configured yet now.

Navigate to the Repository Settings of GitHub, then select Action → General.

Check the “Read and Write Permissions” option, and save the changes.

Go to Settings->Pages and you will see “GitHub Pages”. Go to the Branch, select “main” and “/root” and click on the “Save” button.

Here we are using gh-pages to host our automation report. Once you run your workflow for the first time this branch will not be present, so run the workflow, and you will see gh-pages branch is made. Now again go to the pages section of your repository change the source branch of gh-pages as below and now again run it.

Click on the workflow and the below screen is displayed. It shows the status of the run of the workflow, the total time taken to run the workflow, and the name of the .yml file.

Below are all the steps of the workflow.

Published ExtentReport on GitHub

From the logs of the Workflow, you can see that the “Deploy Pages” stage was executed successfully.

Once the pipeline runs, a new workflow will be generated as shown in the below image:

When we click on the pages build and deployment workflow, we will see 3 stages. The deploy stage contains the link to the ExtentReport.

https://vibssingh.github.io/ExtentReport_GitHubActions/

The complete code can be found here on GitHub - vibssingh/ExtentReport_GitHubActions.

Congratulations! We just created our CI workflow for running the ExtentReport in GitHub.

January 3, 2024April 20, 2024 vibssingh

How to run Robot Framework in GitHub Actions

Last Updated On

April 20, 2024

HOME

This tutorial explains the steps to create a GitHub Action for the Robot Framework in Python and execute the tests in that workflow.

Table of Contents

Why GitHub?

GitHub serves as a collaborative platform that supports version control, code collaboration, automated testing, and issue tracking, all of which are crucial elements in the software testing process. It promotes transparency, collaboration, and efficiency in the development and testing workflows.

CI/CD pipelines have contributed to the success of the DevOps cycle in all software development projects. This is a holistic process that bridges development and operations. Continuous integration helps development teams deploy code efficiently, and continuous delivery automates code deployment.

Implementation Steps

Step 1 – Create GitHub Actions and Workflows

I have a repository available in GitHub – RobotFramework_POM as shown in the below image. Go to the “Actions” tab. Click on the “Actions” tab.

Step 2 – Select the type of Actions

Step 3 – Generation of Sample pipeline

If you choose an existing option, it will automatically generate a .yaml for the project as shown below.

We will replace the current workflow with the following yml file as shown below:

name: Robot Framework - Python
on:
  push:
    branches: [ "main" ]
  pull_request:
    branches: [ "main" ]

permissions:
  contents: read

jobs:
  test:
    runs-on: ubuntu-latest
    
    steps:
      - uses: actions/checkout@v3
      - name: Set up Python 3.12.1
        uses: actions/setup-python@v3
        with:
          python-version: 3.12.1
  
      - name: Install dependencies
        run: |
          python -m pip install --upgrade pip
          pip install robotframework
          pip install robotframework-seleniumlibrary
  
      - name: Test with RobotFramework
        run: robot .  
        
      - name: Test Report Generation
        uses: actions/upload-artifact@v4
        if: success() || failure()
        with:
          name: Report                # Name of the folder
          path: report.html           # Path to test results

This command will update the Python’s Pip version to the latest available.

python -m pip install --upgrade pip

As we need robotframework and seleniumlibrary to execute the tests, we have installed them also using the below command:

pip install robotframework
pip install robotframework-seleniumlibrary

Step 4 – Commit the changes

After the changes, hit the “Start Commit” button.

This will give the option to add a description for the commit. It will also enable the user to commit either to the main branch or commit to any other branch that exists in the project. Click on the “Commit new file” button to set up the workflow file.

It will create a python-app.yml file as shown below in the project.

Step 5 – Verify that the workflow is running

Next, head over to the “Actions” tab, and you will see your YAML workflow file present under the tab. The yellow sign represents that the job is in the queue.

In Progress – When the job starts building and running, you will see the status change from “Queued” to “In progress”.

Passed – If the build is successful, you will see a green tick mark.

Below is the execution log. Go to “Test with RobotFramework” phase.

Click on the workflow and the below screen is displayed. It shows the status of the run of the workflow, the total time taken to run the workflow, and the name of the .yml file.

Below shows all the steps of the workflow.

Step 6 – Published Test Report on GitHub

From the logs of the Workflow, you can see that the Test Report step was executed successfully.

Once the pipeline run, a Report folder will be generated as shown in the below image:

When we click on the folder Report, a zipped file will be downloaded, and we can extract it to see all the files contained within it.

Extract the folder and see the report.html.

Below is the image of report.html.

The complete code can be found here on GitHub – vibssingh/RobotFramework_POM.

Congratulations! We just created our CI workflow for running our Python Robot Framework.