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- Exam Name: Developing in Agentic AI Systems
- 106 Questions
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You need to resolve the scoping issue associated to agent1.
What should you do?
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C
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Explanation
A fine-grained PAT restricted to product-api provides an enforceable repository-level authorization boundary for agent1. GitHub fine-grained personal access tokens can be limited to selected repositories and assigned only the repository permissions required by the workload. Consequently, even if agent1 attempts to access billing-service or infra-terraform, the credential does not authorize access to those repositories. GitHub specifically recommends fine-grained PATs when repository access must be restricted to particular repositories. This directly aligns with the GH-600 objective to configure an agent ' s scope to a specific repository and define execution boundaries through repository context and permissions. Microsoft Learn defines execution context as including the repository an agent can access and emphasizes that repository scope is the first boundary limiting agent behavior. Option A provides behavioral guidance but is not a security authorization boundary. Option B controls the permissions available to the workflow token but does not, by itself, establish the required cross-repository credential restriction. Option D only prevents certain push operations; it does not stop agent1 from reading or otherwise accessing the other repositories. Study Guide Reference Topics: Implement Tool Use and Environment Interaction → execution context and boundaries; repository-specific agent scope; tool permissions; least-privilege authentication. |
You are evaluating how agent1 will behave after you implement the planned changes.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

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Answer:
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Explanation
The first statement is Yes . When an MCP server is configured for a repository, GitHub Copilot cloud agents can use the enabled MCP tools autonomously during assigned tasks. GitHub specifically notes that Copilot does not request interactive approval before invoking configured MCP tools, making careful tool allowlisting and credential protection important. The second statement is No . For repository-level MCP integration, Copilot cloud agent currently supports MCP tools , but it does not support MCP resources or MCP prompts exposed by the server. Resources and prompts are available in other MCP-capable Copilot experiences, such as IDE chat, but they are not consumed by the cloud coding agent in this configuration. The third statement is Yes under the planned configuration. Litware requires agent1 to access all available tools . GitHub custom-agent configuration supports this by omitting the tools property or specifying tools: [ " * " ]. Likewise, an MCP server can use " * " to expose all of its tools. Consequently, newly introduced MCP1 tools fall within that wildcard authorization and become available without individually adding each tool name. Study Guide Reference Topics: MCP tool integration, custom-agent tool configuration, autonomous tool invocation, MCP capability boundaries, and least-privilege agent execution. |
You need to configure agent1 to support the planned changes.
What should you do?
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B
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Explanation
The mcp-servers property connects a custom agent to the Model Context Protocol servers required for its planned work. MCP configuration makes defined external tools and services available to the agent in a controlled, declarative manner. Adding a broad natural-language instruction such as “Use all available tools” does not configure a server connection, authenticate a tool, or define which external capabilities are available. It is also poor least-privilege design because it encourages unrestricted tool use without establishing a technical permission boundary. Setting tools: [] removes all configured tools and would prevent the agent from using required capabilities. Deleting the tools line could cause the agent to inherit or expose a broader default tool set than intended. Repository-wide instructions can guide behavior, but they do not replace the agent-specific configuration needed to associate MCP servers with that agent. A well-designed configuration identifies only the MCP servers necessary for the role, supplies secrets through approved environment mechanisms, and limits the resulting tools to the agent’s defined task. Study-guide topics: MCP integration, agent tool configuration, and least-privilege environment access. =============== |
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