- A
Microsoft Security rule
Why wrong: Microsoft Security rules are for importing alerts from other services.
- B
Scheduled query rule
Scheduled rules can aggregate events and alert on threshold.
- C
Anomaly detection rule
Why wrong: Anomaly detection uses machine learning, not a fixed threshold.
- D
Fusion rule
Why wrong: Fusion correlates multiple alerts, not a single condition.
Quick Answer
The answer is a scheduled query rule. This rule type is correct because it enables you to write a custom KQL query that counts failed sign-in events from a specific IP address in the SigninLogs table over a one-hour window, then triggers an incident when the count exceeds the threshold of 10. Scheduled query rules are designed for user-defined detection logic based on log data, supporting aggregation and threshold-based alerting, which is exactly what this scenario requires. On the Microsoft Azure Solutions Architect Expert AZ-305 exam, this question tests your understanding of Microsoft Sentinel rule types, often appearing as a distractor against anomaly or fusion rules—remember that scheduled rules are for static, custom thresholds, not machine learning. A common trap is choosing a Microsoft Security incident creation rule, but that only maps existing alerts from other services. Memory tip: think “Scheduled = Static Threshold” for failed sign-in alerts.
AZ-305 Practice Question: Design identity, governance, and monitoring solutions
This AZ-305 practice question tests your understanding of design identity, governance, and monitoring solutions. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Your organization uses Microsoft Sentinel for security monitoring. You need to create a rule that triggers an incident when a user from a specific IP address performs more than 10 failed sign-ins within an hour. Which rule type should you use?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Scheduled query rule
A scheduled query rule is the correct choice because it allows you to define a custom KQL query that counts failed sign-in events from a specific IP address over a 1-hour window and triggers an incident when the count exceeds 10. This rule type is designed for user-defined detection logic based on log data, such as SigninLogs, and supports aggregation and threshold-based alerting.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Microsoft Security rule
Why it's wrong here
Microsoft Security rules are for importing alerts from other services.
- ✓
Scheduled query rule
Why this is correct
Scheduled rules can aggregate events and alert on threshold.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Anomaly detection rule
Why it's wrong here
Anomaly detection uses machine learning, not a fixed threshold.
- ✗
Fusion rule
Why it's wrong here
Fusion correlates multiple alerts, not a single condition.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse scheduled query rules with anomaly detection rules, assuming any threshold-based alert is 'anomaly detection,' but anomaly detection requires baseline learning and cannot enforce a static numeric threshold like 10.
Detailed technical explanation
How to think about this question
Under the hood, a scheduled query rule runs a KQL query at a defined frequency (e.g., every 5 minutes) over a lookback period (e.g., 1 hour), using aggregation functions like `summarize` and `count()` to tally failed sign-ins per IP. A real-world scenario is detecting brute-force attacks where an attacker rotates through usernames from a single IP; the rule must filter on `ResultType == '50057'` (user account not found) or `'50126'` (invalid username/password) to count only failed attempts.
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.
TExam Day Tips
- 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.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
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Design identity, governance, and monitoring solutions — study guide chapter
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FAQ
Questions learners often ask
What does this AZ-305 question test?
Design identity, governance, and monitoring solutions — This question tests Design identity, governance, and monitoring solutions — 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 is the correct choice because it allows you to define a custom KQL query that counts failed sign-in events from a specific IP address over a 1-hour window and triggers an incident when the count exceeds 10. This rule type is designed for user-defined detection logic based on log data, such as SigninLogs, and supports aggregation and threshold-based alerting.
What should I do if I get this AZ-305 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jun 24, 2026
This AZ-305 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AZ-305 exam.
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