Open source projects typically use git _______ to manage and review contributions from various developers.
- CLONE
- BRANCH
- FORK
- MERGE
In open source development, developers typically fork a repository to create their copy, make changes, and then submit pull requests. This process allows project maintainers to review and merge contributions systematically.
What is the difference in handling merge requests in GitLab versus pull requests in GitHub?
- Terminology
- Functionality
- Repository hosting
- Collaboration features
While both GitLab and GitHub facilitate code collaboration, understanding the terminology and functionality differences in handling merge requests (GitLab) and pull requests (GitHub) is essential. GitLab uses the term "merge request" while GitHub uses "pull request," and there are nuanced differences in how they handle code reviews, approvals, and merging changes into the main branch.
How can you cherry-pick a commit from another branch into your current branch in Git?
- git pick -c
- git cherry-pick
- git apply
- git merge
The correct option is git cherry-pick . This command allows you to apply the changes introduced by the specified commit to your current branch. Cherry-picking is useful for selectively bringing in specific changes.
A team is facing an issue where a feature that previously worked is now broken. How can git bisect be used to identify the problematic commit?
- Start the bisect using git bisect start and specify a good and bad commit. Git will automatically check out a commit between them. Run tests, and based on results, mark the commit as good or bad using git bisect good or git bisect bad.
- Manually check out a commit, run tests, and mark the commit as good or bad using git bisect mark.
- Use git bisect log to view the history and identify the problematic commit manually.
- Execute git bisect run
to automate the testing process and identify the faulty commit.
Option 1 correctly describes the process of using git bisect to systematically find the commit introducing the issue by marking commits as good or bad based on test results. Other options either involve manual methods or incorrect usage of git bisect.
How can you protect sensitive data from being committed in Git?
- Use environment variables
- Encrypt the entire repository
- Add sensitive files to the .gitignore
- Use the git secure command
To protect sensitive data from being committed, you should add the sensitive files or patterns to the .gitignore file. This ensures that Git ignores these files, preventing them from being included in the version control system and shared with others.
How does Git store data?
- Git stores data in a centralized database.
- Git stores data in a distributed manner.
- Git stores data in a local cache.
- Git stores data in a relational database.
Git stores data in a distributed manner. Each user's local repository contains the entire history and data, making it highly efficient and capable of functioning independently even without a network connection.
When a merge conflict occurs, which section of the conflict markers indicates the changes from the current branch?
- <<<<<<< HEAD
- =======
- >>>>>>> branch-name
- <<<<<<< branch-name
The section <<<<<<< HEAD indicates the changes from the current branch in a merge conflict. Developers should edit the content between this marker and ======= to resolve conflicts manually.
To streamline repetitive Git operations, a developer can use aliases like git co for checkout or git br for _______.
- branch, browse, blame, branchlist
- branchlist, browse, blame, browse
- browse, branchlist, branch, blame
- branchlist, browse, blame, branch
To streamline repetitive Git operations, a developer can use aliases like git co for checkout or git br for branching. This improves efficiency and reduces the likelihood of errors in commands.
How can Git's advanced features like rebase and squash be used in a CI/CD pipeline?
- Facilitate a clean and linear commit history
- Simplify the process of resolving merge conflicts
- Accelerate the integration of new features
- Increase the number of commits in the history
Using rebase and squash in a CI/CD pipeline helps maintain a clean and linear commit history, making it easier to understand and troubleshoot changes. These features can simplify the resolution of merge conflicts and accelerate the integration of new features. Increasing the number of commits in the history can lead to a cluttered history, making it harder to identify meaningful changes.
How does the 'shallow clone' feature in Git help with large repositories?
- A shallow clone reduces the repository's size by fetching only the latest commit history.
- Shallow clones improve network efficiency by fetching less data during cloning.
- Shallow clones allow for faster cloning of repositories by skipping unnecessary history.
- Shallow clones only fetch the latest commit, excluding any historical data.
The 'shallow clone' feature in Git allows users to clone a repository with a limited history, reducing the time and bandwidth required for cloning. Shallow clones are useful when dealing with large repositories where fetching the entire history may be unnecessary.