- A
Create a Microsoft Purview Data Loss Prevention policy to block the IP address based on the login pattern.
Why wrong: Microsoft Purview DLP policies are designed to prevent data loss, not to block IP addresses based on authentication patterns. They cannot trigger on failed login attempts or integrate with Conditional Access.
- B
Create a Microsoft Sentinel analytics rule that triggers on a KQL query detecting the failed logins, then use a playbook to add the IP to a Conditional Access block list via the Azure AD API.
Microsoft Sentinel can ingest sign-in logs from Azure AD Application Proxy. An analytics rule with a KQL query can detect the brute-force pattern, and when triggered, a playbook can call the Azure AD API to add the IP to a Conditional Access block list for one hour, effectively blocking the attacker.
- C
Deploy a web application firewall (WAF) in front of the application and configure rate limiting to block the IP.
Why wrong: A WAF can rate-limit requests at the network level but does not have access to Azure AD authentication logs. It cannot differentiate between successful and failed logins, nor can it directly update Conditional Access policies.
- D
Configure a Microsoft Entra ID Protection sign-in risk policy to automatically block the user's sign-in after detecting anomalous activity.
Why wrong: Microsoft Entra ID Protection sign-in risk policies block risky user sessions, but they cannot block specific IP addresses or enforce a fixed-time block (e.g., one hour) based on custom thresholds like 10 failures in 5 minutes.
SC-100 Microsoft Sentinel analytics rule Practice Question
This SC-100 practice question tests your understanding of design security operations, identity, and compliance capabilities. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. A key principle to apply: microsoft Sentinel analytics rule. 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. You need to design a solution to detect and automatically respond to a potential brute-force attack against an on-premises application that is published via Azure AD Application Proxy. The solution should block the attacker's IP address in Azure AD Conditional Access for one hour after detecting more than 10 failed login attempts within 5 minutes. What should you implement?
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
Create a Microsoft Sentinel analytics rule that triggers on a KQL query detecting the failed logins, then use a playbook to add the IP to a Conditional Access block list via the Azure AD API.
Option B is correct because you can create a Microsoft Sentinel analytics rule with a KQL query that detects more than 10 failed login attempts within 5 minutes. When the rule triggers, it runs a playbook that uses the Azure AD API to add the attacker's IP to a Conditional Access block list, blocking further access for one hour. Option A is incorrect because Microsoft Purview DLP policies are for data protection, not authentication blocking. Option C is incorrect because a WAF rate limit blocks at the network layer but does not integrate with Azure AD Conditional Access, and it cannot read authentication logs from Azure AD App Proxy. Option D is incorrect because Microsoft Entra ID Protection sign-in risk policies are user-based and cannot block specific IPs or apply custom logic like a 1-hour block.
Key principle: Microsoft Sentinel analytics rule
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Create a Microsoft Purview Data Loss Prevention policy to block the IP address based on the login pattern.
Why it's wrong here
Microsoft Purview DLP policies are designed to prevent data loss, not to block IP addresses based on authentication patterns. They cannot trigger on failed login attempts or integrate with Conditional Access.
- ✓
Create a Microsoft Sentinel analytics rule that triggers on a KQL query detecting the failed logins, then use a playbook to add the IP to a Conditional Access block list via the Azure AD API.
Why this is correct
Microsoft Sentinel can ingest sign-in logs from Azure AD Application Proxy. An analytics rule with a KQL query can detect the brute-force pattern, and when triggered, a playbook can call the Azure AD API to add the IP to a Conditional Access block list for one hour, effectively blocking the attacker.
Related concept
Microsoft Sentinel analytics rule
- ✗
Deploy a web application firewall (WAF) in front of the application and configure rate limiting to block the IP.
Why it's wrong here
A WAF can rate-limit requests at the network level but does not have access to Azure AD authentication logs. It cannot differentiate between successful and failed logins, nor can it directly update Conditional Access policies.
- ✗
Configure a Microsoft Entra ID Protection sign-in risk policy to automatically block the user's sign-in after detecting anomalous activity.
Why it's wrong here
Microsoft Entra ID Protection sign-in risk policies block risky user sessions, but they cannot block specific IP addresses or enforce a fixed-time block (e.g., one hour) based on custom thresholds like 10 failures in 5 minutes.
Common exam traps
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.
Detailed technical explanation
How to think about this question
Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Microsoft Sentinel analytics rule
- Playbook
- Conditional Access block list
- KQL query
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
Microsoft Sentinel analytics rule
Real-world example
How this comes up in practice
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
Quick reference
OSI Model Reference
| Layer | Name | PDU | Key Protocols / Devices |
|---|---|---|---|
| 7 | Application | Data | HTTP, HTTPS, DNS, SMTP, FTP, SSH |
| 6 | Presentation | Data | TLS / SSL, JPEG, ASCII encoding |
| 5 | Session | Data | NetBIOS, RPC, SIP |
| 4 | Transport | Segment / Datagram | TCP, UDP |
| 3 | Network | Packet | IP, ICMP, OSPF — Routers |
| 2 | Data Link | Frame | Ethernet, Wi-Fi, PPP — Switches, Bridges |
| 1 | Physical | Bits | Cables, NICs, Hubs, Repeaters |
What to study next
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FAQ
Questions learners often ask
What does this SC-100 question test?
Design security operations, identity, and compliance capabilities — This question tests Design security operations, identity, and compliance capabilities — Microsoft Sentinel analytics rule.
What is the correct answer to this question?
The correct answer is: Create a Microsoft Sentinel analytics rule that triggers on a KQL query detecting the failed logins, then use a playbook to add the IP to a Conditional Access block list via the Azure AD API. — Option B is correct because you can create a Microsoft Sentinel analytics rule with a KQL query that detects more than 10 failed login attempts within 5 minutes. When the rule triggers, it runs a playbook that uses the Azure AD API to add the attacker's IP to a Conditional Access block list, blocking further access for one hour. Option A is incorrect because Microsoft Purview DLP policies are for data protection, not authentication blocking. Option C is incorrect because a WAF rate limit blocks at the network layer but does not integrate with Azure AD Conditional Access, and it cannot read authentication logs from Azure AD App Proxy. Option D is incorrect because Microsoft Entra ID Protection sign-in risk policies are user-based and cannot block specific IPs or apply custom logic like a 1-hour block.
What should I do if I get this SC-100 question wrong?
Review microsoft Sentinel analytics rule, then practise related SC-100 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
Microsoft Sentinel analytics rule
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Last reviewed: Jun 21, 2026
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