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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement agents and multi-agent systems | 30% | - Build agents with Azure AI tools and frameworks
|
| Topic 2: Design agentic AI solutions | 25% | - Define requirements for agentic systems
|
| Topic 3: Integrate tools, data, and services | 25% | - Connect data sources and knowledge bases
|
| Topic 4: Test, deploy, and monitor agentic AI systems | 20% | - Deploy and monitor agents at scale
|
Seit Jahren gilt ZertPruefung als der beste Partner für die IT-Prüfungsteilnehmer. Sie bietet reichliche Ressourcen der Prüfungsunterlagen. Die Bestehensquote der Kunden, die Microsoft GH-600 Prüfungssoftware benutzt haben, erreicht eine Höhe von fast 100%. Diese befriedigte Feedbacks geben wir mehr Motivation, die zuverlässige Qualität von Microsoft GH-600 weiter zu versichern. Wir wünschen Ihnen, durch das Bestehen der Microsoft GH-600 das Gefühl des Erfolgs empfinden, weil es uns auch das Gefühl des Erfolges mitbringt.
66. Frage
You have a GitHub repository that uses a GitHub Actions workflow to run an agent-driven change plan as part of a CI pipeline. The workflow generates an artifact named plan.json that includes a field named risk. risk has possible values of low, medium, or high.
You need to ensure that a human must confirm the execution of the workflow when risk is medium or high.
The workflow must proceed automatically only when risk is low.
How should you complete the workflow? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
Explanation:
Target 1 - apply job:
${{ needs.plan.outputs.risk != ' low ' }}
Target 2 - apply_auto job:
${{ needs.plan.outputs.risk == ' low ' }}
The relevant completed workflow is:
apply:
needs: plan
runs-on: ubuntu-latest
environment: approval-required
if: ${{ needs.plan.outputs.risk != ' low ' }}
steps:
- name: Apply agent plan
run: |
echo " Applying plan with risk=${{ needs.plan.outputs.risk }} "
/scripts/apply.sh out/plan.json
apply_auto:
needs: plan
runs-on: ubuntu-latest
if: ${{ needs.plan.outputs.risk == ' low ' }}
steps:
- name: Apply agent plan (auto)
run: |
echo " Auto-applying plan with risk=${{ needs.plan.outputs.risk }} "
/scripts/apply.sh out/plan.json
Comprehensive and Detailed 150 to 250 words of Explanation From Agentic AI Developer/Course Guide/topics:
The apply job must use ${{ needs.plan.outputs.risk != ' low ' }} . Because the only possible values are low, medium, and high, this expression selects both medium- and high-risk plans. The job references the protected environment approval-required , so GitHub Actions can enforce required reviewers before the job is allowed to execute. GitHub environments explicitly support required-reviewer protection rules, and jobs referencing a protected environment remain blocked until the required approval is granted. GitHub Docs The apply_auto job must use ${{ needs.plan.outputs.risk == ' low ' }} . This produces the complementary execution path: only low-risk plans bypass the approval environment and execute automatically.
The plan job exposes risk as a job output, and dependent jobs access that value through the needs. < job > .
outputs. < output > syntax. GitHub documents this mechanism specifically for passing calculated information between jobs. GitHub Docs Using always(), success(), or failure() would evaluate job execution status rather than the risk classification and therefore would not implement the required risk-based guardrail.
Study Guide Reference Topics: Implement Guardrails and Accountability; risk-based execution controls; human-in-the-loop approval; GitHub environments; conditional job execution; job outputs.
67. Frage
Hotspot Question
Your company uses Microsoft Visual Studio Code and GitHub Copilot Chat.
You have a GitHub repository that uses main as the default branch. The repository contains a workspace custom agent stored at .github/agents/release-notes.agent.md.
A developer switches to a branch named branch1 where the agent file does NOT exist. In the same session, the developer switches to a user profile named profile1.profile1 contains a custom agent file named release-notes.agent.md that has user-invokable set to false.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
Explanation:
Box 1: No
The agent will not appear in the agents dropdown with a display name of release-notes because the developer is currently on branch1 and profile1, which effectively hides it.
Box 2: No
The workspace version of the release-notes agent will not be available in the agents dropdown when the developer is on branch2.
Box 3: No
The user profile agent will not appear in the agents dropdown, nor will it override a workspace agent in this scenario.
Reference:
https://code.visualstudio.com/docs/agent-customization/custom-agents
68. Frage
While upgrading App1, the agent identifies 47 issues, including a security vulnerability, and 46 API incompatibilities across different projects.
Which two actions are unsafe to delegate to the agent and require human involvement? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Antwort: B,C
Begründung:
The intended distinction is between delegating analytical work and allowing the agent to provide the final approval of its own work. Approving all Git commits would remove independent review of changes that include security-sensitive remediation and compatibility modifications across multiple projects.
Human validation of assessment.md is similarly important because the assessment determines the scope and direction of the upgrade. Incorrectly classified dependencies, missed projects, or an incomplete vulnerability analysis can propagate into the implementation plan. Microsoft's guidance explicitly recommends reviewing the assessment for missing projects, problematic dependencies, and application-specific concerns before proceeding.
Generating the assessment and checking whether a task file exists are appropriate automated activities. An agent can also inspect the plan's dependency relationships and flag potential ordering problems. Such assistance does not transfer final accountability for accepting the plan.
The wording should not be interpreted as prohibiting automated assessment validation. Agents can run valuable consistency checks; the unsafe delegation is treating those checks as sufficient independent approval of their own conclusions.
Study-guide topics: human oversight, independent validation, and approval boundaries. Reference: Microsoft Learn-Best practices for GitHub Copilot upgrade.
69. Frage
You have a GitHub Actions workflow that runs two jobs named agent-plan and agent-implement on pull requests.
The agent-plan job generates an implementation plan that downstream jobs must consume, but the job currently writes the plan only to the console.
You need to capture the implementation plan as a step output and configure the workflow so that downstream jobs can reference the output.
How should you configure the workflow? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
70. Frage
You have a multi-agent GitHub Actions workflow that uploads review artifacts for each run.
You discover that some workflow run artifacts are being deleted manually.
You need to use your organization's audit log data to identify which user deleted the artifacts.
Which audit log search filter should you use?
Antwort: B
Begründung:
To identify which user manually deleted the workflow run artifacts, you should use the action:artifact.destroy search filter.When searching your GitHub Organization Audit Log, this filter targets the exact event triggered when a workflow run artifact is manually removed.
Reference:
https://docs.github.com/en/organizations/keeping-your-organization-secure/managing-security-settings-for-your-organization/reviewing-the-audit-log-for-your-organization
71. Frage
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Es ist eine weise Wahl, sich an der Microsoft GH-600 Zertifizierungsprüfung zu beteiligen. Mit dem Microsoft GH-600 Zertifikat werden Ihr Gehalt, Ihre Stelle und auch Ihre Lebensverhältnisse verbessert werden. Es ist doch nicht so einfach, die Microsoft GH-600 Zertifizierungsprüfung zu bestehen. Sie nehmen viel Zeit und Energie in Anspruch, um Ihre Fachkenntnisse zu konsolidieren. ZertPruefung ist eine spezielle Schulungswebsite, die Schulungsprogramme zur Microsoft GH-600 (Developing in Agentic AI Systems) Zertifizierungsprüfung bearbeiten. Sie können zuerst die Demo zur Microsoft GH-600 Zertifizierungsprüfung im Internet als Probe kostenlos herunterladen, so dass Sie die Glaubwürdigkeit unserer Produkte testen können. Normalerweise werden Sie nach dem Probieren unserer Produkte Vertrauen in unsere Produkte haben.
GH-600 Fragenkatalog: https://www.zertpruefung.ch/GH-600_exam.html