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GitHub Certified: Agentic AI Developer (GH-600)
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Registry only is correct because allow all: No restrictions. That is the documented behavior the prompt is pointing to.
Clear the cache and refresh is correct because here is a simple example of a copilot-setup-steps. For exam purposes, the key is recognizing the documented workflow, setting, or rule in the prompt.
Assigning an issue to Copilot is correct because assigning an issue always creates a pull request. For exam purposes, the key is recognizing the documented workflow, setting, or rule in the prompt.
Extending GitHub Copilot Chat with Model Context Protocol (MCP) servers is correct because the overview page explicitly points to this guide for configuring MCP servers in Copilot Chat within an IDE. That is the documented behavior the prompt is pointing to.
Use GitHub Copilot Memory Hooks to track and alert on context drift is correct because facts and preferences captured by one Copilot feature can be used by another. Among the options here, it is the choice that aligns most directly with the GitHub Docs guidance.
A clear problem description and complete acceptance criteria, as it ensures that the task has well-defined goals and success metrics. This approach helps prevent misunderstandings and rework by clearly outlining what needs to be achieved.
Configure an MCP Registry URL and optionally restrict MCP access to registry-listed servers is correct because the MCP management settings describe using a registry URL for discovery and an optional restriction that limits usage to registry-listed servers. Among the options here, it is the choice that aligns most directly with the GitHub Docs guidance.
When context only needs to persist within a session is correct because Copilot can use Copilot Memory to store important facts about a repository. That is the documented behavior the prompt is pointing to.
Use NAME.instructions.md files under.github/instructions with applyTo frontmatter is correct because at the start of the file, create a frontmatter block containing the applyTo keyword. Among the options here, it is the choice that aligns most directly with the GitHub Docs guidance.
Configure the agent environment as described in 'Customize the agent environment' is correct because you can customize Copilot's development environment with a Copilot setup steps file. That is the documented behavior the prompt is pointing to.
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A 50-question GH-600 PDF for short review sessions. Questions come first, then the answer review and explanations later in the file.
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The free daily GitHub Agentic AI Developer set includes crawlable question text, answer choices, the correct answer explanation, wrong-answer distractor explanations when the reviewed bank provides them, objective mapping, and source links. Pro-only bank questions stay locked; this section mirrors only the 10 free daily questions already shown on this page.
Registry only
Registry only is correct because allow all: No restrictions. That is the documented behavior the prompt is pointing to.
Clear the cache and refresh
Clear the cache and refresh is correct because here is a simple example of a copilot-setup-steps. For exam purposes, the key is recognizing the documented workflow, setting, or rule in the prompt.
Assigning an issue to Copilot
Assigning an issue to Copilot is correct because assigning an issue always creates a pull request. For exam purposes, the key is recognizing the documented workflow, setting, or rule in the prompt.
Extending GitHub Copilot Chat with Model Context Protocol (MCP) servers
Extending GitHub Copilot Chat with Model Context Protocol (MCP) servers is correct because the overview page explicitly points to this guide for configuring MCP servers in Copilot Chat within an IDE. That is the documented behavior the prompt is pointing to.
Use GitHub Copilot Memory Hooks to track and alert on context drift.
Use GitHub Copilot Memory Hooks to track and alert on context drift is correct because facts and preferences captured by one Copilot feature can be used by another. Among the options here, it is the choice that aligns most directly with the GitHub Docs guidance.
A clear problem description and complete acceptance criteria for a good solution.
A clear problem description and complete acceptance criteria, as it ensures that the task has well-defined goals and success metrics. This approach helps prevent misunderstandings and rework by clearly outlining what needs to be achieved.
Configure an MCP Registry URL and optionally restrict MCP access to registry-listed servers.
Configure an MCP Registry URL and optionally restrict MCP access to registry-listed servers is correct because the MCP management settings describe using a registry URL for discovery and an optional restriction that limits usage to registry-listed servers. Among the options here, it is the choice that aligns most directly with the GitHub Docs guidance.
When context only needs to persist within a session.
When context only needs to persist within a session is correct because Copilot can use Copilot Memory to store important facts about a repository. That is the documented behavior the prompt is pointing to.
Use NAME.instructions.md files under .github/instructions with applyTo frontmatter.
Use NAME.instructions.md files under.github/instructions with applyTo frontmatter is correct because at the start of the file, create a frontmatter block containing the applyTo keyword. Among the options here, it is the choice that aligns most directly with the GitHub Docs guidance.
Configure the agent environment as described in 'Customize the agent environment'
Configure the agent environment as described in 'Customize the agent environment' is correct because you can customize Copilot's development environment with a Copilot setup steps file. That is the documented behavior the prompt is pointing to.
dotCreds builds GitHub Agentic AI Developer practice questions from public exam objectives and GitHub exam and documentation references. The questions are written for realistic study practice, not copied from exam dumps.
Each question includes an explanation and, when available, a source link back to the provider documentation or reference used to validate the answer. That keeps the practice tied to study material you can actually review.
The page tracks today's answered count and accuracy for the 10-question daily set, then saves a 7-day score history on this device so you can see your recent practice trend.
The site is the fastest way to start GitHub Agentic AI Developer practice without installing anything. It is built for daily recall, quick weak-topic discovery, and source-backed explanations you can review immediately.
The web page is the quick daily practice layer. If a dotCreds app is available for GitHub Agentic AI Developer, the app is better for larger banks, focused weak-domain drills, longer review sessions, and mobile study routines.
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