- A
Anomaly analytics rule
Why wrong: Anomaly rules use ML models, not static thresholds.
- B
Near-real-time (NRT) analytics rule
Why wrong: NRT rules have limitations on aggregation and are not suitable for complex thresholds.
- C
Microsoft security analytics rule
Why wrong: These rules are for ingesting alerts from Microsoft security products.
- D
Scheduled query analytics rule
Scheduled rules allow custom KQL with aggregation and threshold conditions.
Question 281 of 1,411
Microsoft Sentinel Scheduled Query Analytics Rule: Threshold Detection
This SC-900 practice question tests your understanding of describe the capabilities of microsoft security 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.
A SOC analyst in Microsoft Sentinel needs to create a custom detection rule that triggers an incident when more than 10 failed logins occur from a single IP address within 5 minutes. Which rule type should they 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 analytics rule
A scheduled query analytics rule is the correct choice because it allows the SOC analyst to define a custom KQL query that counts failed logins per IP address over a 5-minute window and triggers an incident when the count exceeds 10. This rule type runs on a recurring schedule (e.g., every 5 minutes) and is designed for threshold-based detection scenarios like brute-force attacks.
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.
- ✗
Anomaly analytics rule
Why it's wrong here
Anomaly rules use ML models, not static thresholds.
- ✗
Near-real-time (NRT) analytics rule
Why it's wrong here
NRT rules have limitations on aggregation and are not suitable for complex thresholds.
- ✗
Microsoft security analytics rule
Why it's wrong here
These rules are for ingesting alerts from Microsoft security products.
- ✓
Scheduled query analytics rule
Why this is correct
Scheduled rules allow custom KQL with aggregation and threshold conditions.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse near-real-time (NRT) rules with scheduled queries, but NRT rules cannot perform time-based aggregations over a 5-minute window and are limited to single-event detection with a 1-minute lookback.
Detailed technical explanation
How to think about this question
Under the hood, a scheduled query rule uses a KQL query like `SigninLogs | summarize FailedCount = count() by IPAddress, bin(TimeGenerated, 5m) | where FailedCount > 10` and runs on a schedule (e.g., every 5 minutes) with a lookback period equal to the query frequency. A subtle behavior is that the rule's 'query frequency' and 'query period' must be configured correctly to avoid gaps or overlapping data; for a 5-minute window, the frequency should be 5 minutes with a 5-minute lookback. In a real-world scenario, this rule would detect a brute-force attack where an attacker tries multiple passwords from a single IP, but it would not catch distributed attacks using multiple IPs, which would require a different query.
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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FAQ
Questions learners often ask
What does this SC-900 question test?
Describe the capabilities of Microsoft security solutions — This question tests Describe the capabilities of Microsoft security solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Scheduled query analytics rule — A scheduled query analytics rule is the correct choice because it allows the SOC analyst to define a custom KQL query that counts failed logins per IP address over a 5-minute window and triggers an incident when the count exceeds 10. This rule type runs on a recurring schedule (e.g., every 5 minutes) and is designed for threshold-based detection scenarios like brute-force attacks.
What should I do if I get this SC-900 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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Same concept, more angles
1 more ways this is tested on SC-900
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A cybersecurity analyst uses Microsoft Sentinel to detect threats. Which THREE types of analytics rules can be created?
medium- ✓ A.Scheduled query rules
- ✓ B.Near-real-time (NRT) rules
- C.Hunting rules
- ✓ D.Fusion rules
- E.Machine learning rules
Why A: Scheduled query rules are correct because they allow you to define a KQL query that runs on a set schedule (e.g., every 5 minutes) to detect threats by analyzing log data from multiple sources. This is a core analytics rule type in Microsoft Sentinel for proactive threat detection based on time-based patterns.
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Last reviewed: Jul 4, 2026
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