Question 1mediummultiple choice
Full question →mediummultiple choiceObjective-mapped
A security operations team uses Microsoft Sentinel. They want to create a rule that generates an incident when an Azure virtual machine is deployed with a public IP address that is not in a predefined approved list. The rule should run every hour and query Azure Activity logs. Which type of analytics rule should they create?
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.
A
Best answer
Scheduled query rule
Scheduled query rules are ideal for running queries on a fixed schedule (e.g., every hour) against log data to detect patterns and generate incidents.
B
Distractor review
NRT (Near-Real-Time) rule
NRT rules run every minute or at very short intervals, not every hour. They are designed for low-latency detection, not for hourly checks.
C
Distractor review
Anomaly rule
Anomaly rules use machine learning to detect deviations from baseline behavior. The requirement is a deterministic check against an approved list, not anomaly detection.
D
Distractor review
Fusion rule
Fusion rules correlate multiple alerts from different sources to identify multistage attacks. This single condition (VM with public IP not in list) does not require correlation.
Common exam trap
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Technical deep dive
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
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?
Static NAT maps one inside address to one outside address.
What is the correct answer to this question?
The correct answer is: Scheduled query rule — Scheduled query rules in Sentinel run at specified intervals and query log data (e.g., AzureActivity) to detect patterns. They can be configured to run every hour and generate incidents based on query results. NRT (Near-Real-Time) rules run frequently but are for high-frequency scenarios; they are not suitable for hourly runs. Anomaly rules use machine learning. Fusion rules correlate multiple alerts. Here, the requirement is a straightforward scheduled query against Activity logs.
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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