GASAE practice questions

GIAC · GASAE · 200 questions

Original practice questions for the GIAC AI Security Automation Engineer (GASAE) exam, covering adversary emulation fundamentals, AI fundamentals (LLMs, RAG, agentic AI), automated offensive and general security workflows, AWS and Azure cloud security and incident-response automation, defensive security automation, security automation fundamentals, SOAR, and automation plus AI for detection engineering and incident response — framed in civic and municipal scenarios such as city / county SOC and fusion centers, municipal cloud tenants, transit / utilities / emergency-management ops, public-health IR, and permitting / 311 / courts infrastructure automation. Live GASAE is CyberLive; this bank is original 4-option MCQ similar-concept practice, not a lab dump.

This course contains the use of artificial intelligence.

About the GASAE exam

Time allowed
3 hours
Questions
82
Passing score
70%
Format
1 proctored exam, 82 questions, 3 hours

Exam details published by the vendor, checked 23 October 2026. Vendors change fees and formats without notice — confirm on the vendor's own page before you book.

Practice Quizzes

Test your knowledge with standard 20-question practice sets.

Quiz 1

Questions 1–20

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Quiz 2

Questions 21–40

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Quiz 3

Questions 41–60

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Quiz 4

Questions 61–80

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Quiz 5

Questions 81–100

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Quiz 6

Questions 101–120

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Quiz 7

Questions 121–140

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Quiz 8

Questions 141–160

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Quiz 9

Questions 161–180

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Quiz 10

Questions 181–200

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Browse by Domain

Study specific topics at your own pace.

Adversary Emulation Fundamentals · 20 questions

Artificial Intelligence Fundamentals · 20 questions

Automating Offensive Workflows · 20 questions

Automating Workflows · 20 questions

AWS Cloud Security and Incident Response Automation · 20 questions

Azure Cloud Security and Incident Response Automation · 20 questions

Defensive Security Automation · 20 questions

Security Automation Fundamentals · 20 questions

Security Orchestration Automation and Response · 20 questions

Using Automation and AI for Detection Engineering and Incident Response · 20 questions