Pass the Microsoft GitHub Administrator GH-300 Questions and answers with CertsForce

Viewing page 1 out of 4 pages
Viewing questions 1-10 out of questions
Questions # 1:

Which of the following is a risk associated with using AI?

Options:

A.

AI algorithms are incapable of perpetuating existing biases.


B.

AI systems can sometimes make decisions that are difficult to interpret.


C.

AI eliminates the need for data privacy regulations.


D.

AI replaces the need for developer opportunities in most fields.


Expert Solution
Questions # 2:

What is the best way to share feedback about GitHub Copilot Chat when using it on GitHub Mobile?

Options:

A.

The Settings menu in the GitHub Mobile app.


B.

The feedback section on the GitHub website.


C.

Use the emojis in the Copilot Chat interface.


D.

By tweeting at GitHub's official X (previously known as Twitter) account.


Expert Solution
Questions # 3:

What are the potential limitations of GitHub Copilot in maintaining existing codebases?

Options:

A.

GitHub Copilot can independently manage and resolve all merge conflicts in version control.


B.

GitHub Copilot might not fully understand the context and dependencies within a large codebase.


C.

GitHub Copilot's suggestions are always aware of the entire codebase.


D.

GitHub Copilot can refactor and optimize the entire codebase up to 10,000 lines of code.


Expert Solution
Questions # 4:

What are the different ways to give context to GitHub Copilot to get more precise responses? (Each correct answer presents part of the solution. Choose two.)

Options:

A.

Utilize to interpret developer's thoughts and intentions without any code or comments.


B.

Engage with chat participants such as @workspace to incorporate collaborative context into the responses.


C.

Access developer's previous projects and code repositories to understand their coding style without explicit permission.


D.

Utilize chat variables like *file to anchor the conversation within the specific context of the files or editors in use.


Expert Solution
Questions # 5:

How can GitHub Copilot assist developers during the requirements analysis phase of the Software Development Life Cycle (SDLC)?

Options:

A.

By automatically generating detailed requirements documents.


B.

By providing templates and code snippets that help in documenting requirements.


C.

By identifying and fixing potential requirement conflicts when using /help.


D.

By managing stakeholder communication and meetings.


Expert Solution
Questions # 6:

What can be done during AI development to minimize bias?

Options:

A.

Improve on the computational efficiency and speed.


B.

Focus on accuracy of the data.


C.

Collect massive amounts of data for training.


D.

Use diverse data, fairness metrics, and human oversight.


Expert Solution
Questions # 7:

Which of the following does GitHub Copilot's LLM derive context from when producing a response?

Options:

A.

Frequency of commits to the repository


B.

Syntax highlighting scheme of the code in the IDE


C.

Neighboring or related files within a project


D.

Version control system integrated with the IDE


Expert Solution
Questions # 8:

What practices enhance the quality of suggestions provided by GitHub Copilot? (Select three.)

Options:

A.

Clearly defining the problem or task


B.

Including personal information in the code comments


C.

Using meaningful variable names


D.

Providing examples of desired output


E.

Use a .gitignore file to exclude irrelevant files


Expert Solution
Questions # 9:

What GitHub Copilot feature can be configured at the organization level to prevent GitHub Copilot suggesting publicly available code snippets?

Options:

A.

GitHub Copilot Chat in the IDE


B.

GitHub Copilot Chat in GitHub Mobile


C.

GitHub Copilot duplication detection filter


D.

GitHub Copilot access to Bing


Expert Solution
Questions # 10:

What method can a developer use to generate sample data with GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)  

Options:

A.

Utilizing GitHub Copilot's ability to create fictitious information from patterns in training data.


B.

Leveraging GitHub Copilot's ability to independently initiate and manage data storage services.


C.

Utilize GitHub Copilot's capability to directly access and use databases to create sample data.


D.

Leveraging GitHub Copilot's suggestions to create data based on API documentation in the repository.


Expert Solution
Viewing page 1 out of 4 pages
Viewing questions 1-10 out of questions