GH-300

GitHub Copilot GH-300: 420 Practice Questions

Train responsible AI, Copilot features, prompts, testing and privacy with four topic sets and two mixed practice exams

DevOps & Infrastructure课程内容为英文6 套练习

在 Udemy 查看实时价格与完整课程信息,并完成购买和学习。

GitHub Copilot GH-300: 420 Practice Questions

课程概览

你将练习的内容

下方课程名称、目标和练习题为英文内容。

考试参考GH-300
本课程版本发布日期
核对官方考试资料

预约考试前请核对认证机构的现行目标。本课程为独立练习材料。

  • Evaluate generated answers against current specifications and independent evidence.
  • Choose appropriate Copilot IDE, CLI and GitHub workflows for a stated task.
  • Distinguish supplied context, model knowledge and processing stages.
  • Write prompts with clear constraints, consistent examples and measurable outcomes.
  • Inspect code, test data and assertions for behavior, integration and security gaps.
  • Apply content-exclusion and public-code policies at their documented scope.

了解完整课程

This course contains the use of artificial intelligence.

A Copilot answer can look convincing while using the wrong API, missing a requirement, or relying on a control that does not apply to the current workflow. Prepare for GH-300 by practicing the decisions behind these situations: what context to supply, which feature to use, what a test actually proves, and how to interpret policy and exclusion boundaries.

420 original English practice questions are organized into six tests. Four topic sets let you focus on weak areas; two mixed practice exams each contain 60 questions and allow 100 minutes. The mixed sets follow the six domain-weight ranges in the GitHub Copilot study guide effective August 7, 2026. Their question count is a training design, not a claim about the official exam's fixed length.

Choose your starting point

  • AI responsibility, data flow and model limits: 80 questions.
  • Copilot features across IDE, CLI and GitHub workflows: 100 questions.
  • Prompt engineering, development and verification: 80 questions.
  • Privacy, content exclusions and safeguards: 40 questions.
  • Two mixed practice exams: 60 questions each, 100 minutes per attempt.

Learn from each decision

Every question includes feedback for each option, an explanation of the deciding conditions, and a study tip. Scenarios cover prompt and tool boundaries, generated-code behavior, unit and integration evidence, synthetic test data, performance trade-offs, and the scope of privacy controls. Some questions ask you to inspect small Python, SQL, configuration or command examples.

Current product behavior matters. This course distinguishes the standalone Copilot CLI from older examples, addresses prompt files and agent workflows with their applicable harness constraints, and treats Spark retirement as a dated product change. Where official product documents differ on a control's scope, questions keep the applicable conditions explicit instead of treating every surface as equivalent.

Use the tests deliberately

  1. Work through a topic set and record why you chose each answer.
  2. Review every option's feedback, including questions you answered correctly.
  3. Use the study tips to revisit the relevant concept and practice in your own permitted environment.
  4. Complete the mixed exams without notes, then return to the topic sets for weak areas.

The 70% practice threshold is a study setting; it is not a conversion to the official scaled passing score. These are practice tests with written explanations, rather than video lessons or a hosted lab environment. A Copilot subscription is not needed to attempt the questions, although hands-on experience can help you connect the scenarios to your work.

This independent preparation course is not endorsed by GitHub or Microsoft. It contains original practice material, not official exam questions, and does not guarantee a passing result.

练习安排

6 套练习. 420 道题.

01

Responsible AI, Data Flow and Model Limits

80 道题120 分钟

02

Copilot Features: IDE, CLI and GitHub Workflows

100 道题150 分钟

03

Prompt Engineering, Development and Verification

80 道题120 分钟

04

Privacy, Content Exclusions and Safeguards

40 道题65 分钟

05

Mixed Practice Exam 1: Cross-Domain Decisions

60 道题100 分钟

06

Mixed Practice Exam 2: Changed Conditions

60 道题100 分钟

免费课程体验

先作答,再理解。

本课程的三道英文原创单选样题。作答仅在当前页面保留,离开后清除。

选择一个答案1 / 3

A project pins library version 4.2. Copilot proposes client.rotateCredentials(), but the installed public API and the version 4.2 reference contain no such method. The explanation is confident and names a plausible documentation section. What should the developer do before adopting this fix?

开始前的准备

  • Basic GitHub and Git knowledge.
  • Familiarity with at least one programming language.
  • Ability to read short Python, SQL and configuration examples; advanced Python expertise is not required.
  • No Copilot subscription is required to take these practice tests.

适合哪些学习者

  • Developers preparing for the GitHub Copilot GH-300 certification.
  • Engineers who want to make better decisions about AI-assisted development and testing.
  • Team members learning the boundaries of Copilot privacy controls and policies.

常见问题

迈出下一步之前。

在哪里购买和学习?

点击“前往 Udemy”,即可进入对应课程。结账、账号访问和课程学习均由 Udemy 提供。

Udemy 订阅是否包含这门课程?

是否包含取决于课程、订阅方案与所在地区。购买前,请核对 Udemy 实时课程页和你的订阅权益。

是否包含正式认证考试?

不包含。课程是独立备考材料,正式考试报名、费用和证书由认证机构提供。

能否切换课程语言?

目前课程为英文。网站语言切换会更改导航与学习指南,不会翻译 Udemy 课程。

GH-300420 道题
前往 Udemy