A security team uses Microsoft Sentinel. They want to create a custom analytics rule that generates an incident whenever a user from a list of known malicious IP addresses attempts to sign in to any Azure AD app. They have imported the IP list into Sentinel using Threat Intelligence. Which rule type should they use?
Answer choices
Why each option matters
Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.
Best answer
Scheduled query rule
Scheduled query rules run your KQL query periodically and can generate incidents based on matches. They support matching against threat intelligence tables.
Distractor review
Near-real-time (NRT) rule
NRT rules are designed for low-latency scenarios but have limited data source support. They are not suitable for matching against imported threat intelligence lists.
Distractor review
Microsoft Security rule
Microsoft Security rules are pre-built templates for Microsoft services. They cannot be customized with your own threat intelligence data.
Distractor review
Anomaly rule
Anomaly rules use machine learning to detect unusual behavior. They do not use specific IP lists for matching.
Common exam trap
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Technical deep dive
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Related practice questions
Related AZ-500 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
More questions from this exam
Keep practising from the same exam bank, or move into a focused topic page if this question exposed a weak area.
Question 1
A DevOps team wants Defender for Cloud to identify secrets exposed in GitHub repositories. What should be configured?
Question 2
A public web application should be protected from OWASP-style attacks and network-layer DDoS attacks. Which two Azure services are most relevant?
Question 3
A Sentinel scheduled rule runs every 5 minutes and looks back 1 hour. Analysts see repeated alerts for the same event. Which change best prevents duplicate detections without missing late-arriving logs?
Question 4
A SOC analyst needs a Sentinel query that detects multiple failed sign-ins followed by a successful sign-in for the same user. Which table is the best primary source?
Question 5
A Sentinel watchlist contains high-value administrator accounts. Which KQL pattern best uses it in a detection rule?
Question 6
A SOC wants a Sentinel rule to include account, host, and IP entities so analysts can pivot during investigation. What should be configured in the analytics rule?
FAQ
Questions learners often ask
What does this AZ-500 question test?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: Scheduled query rule — A scheduled query rule allows you to define a KQL query that runs at a set interval and matches Azure AD sign-in logs against the imported threat intelligence IP addresses. It is the standard approach for custom detection logic.
What should I do if I get this AZ-500 question wrong?
Then try more questions from the same exam bank and focus on understanding why the wrong options are tempting.
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