Question 259 of 999

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. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. A key principle to apply: identity Protection uses machine learning to detect identity risks.. 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 company uses Microsoft Entra ID (Microsoft Entra ID). They want to automatically detect identity-related risks such as leaked credentials, impossible travel, and sign-ins from anonymous IP addresses. They want to generate reports summarizing risk events and integrate the risk data with their existing Security Information and Event Management (SIEM) system via an API. Which Microsoft Entra ID feature should they configure?

Question 1easymultiple choice
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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

Microsoft Entra ID Identity Protection

Microsoft Entra ID Identity Protection is the correct feature because it provides automated detection of identity-based risks such as leaked credentials, impossible travel, and sign-ins from anonymous IP addresses. It generates risk event reports and exposes risk data through the Microsoft Graph API, enabling integration with SIEM systems for centralized monitoring and response.

Key principle: Identity Protection uses machine learning to detect identity risks.

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 Entra ID Identity Protection

    Why this is correct

    Identity Protection automatically detects identity risks using machine learning, provides risk reports, and exposes data via Microsoft Graph API for SIEM integration. It directly meets all requirements.

    Related concept

    Identity Protection uses machine learning to detect identity risks.

  • Privileged Identity Management (PIM)

    Why it's wrong here

    PIM focuses on just-in-time and time-bound access to privileged roles. It does not detect risks like leaked credentials or impossible travel, and is not designed for threat reporting.

  • Microsoft Entra ID Connect Health

    Why it's wrong here

    Microsoft Entra ID Connect Health monitors the health of on-premises identity infrastructure (AD FS, AD DS, etc.). It does not detect cloud-based sign-in risks or generate risk reports.

  • Microsoft Entra ID Audit Logs

    Why it's wrong here

    Audit logs record user and admin activities but do not automatically analyze or detect risks. They can be exported but lack built-in risk detection and reporting features.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Microsoft often tests the distinction between detection (Identity Protection) and remediation (PIM), so candidates mistakenly choose PIM because they associate it with identity security, but PIM handles privilege management, not risk event detection.

Detailed technical explanation

How to think about this question

Identity Protection uses machine learning models and heuristics to assign a risk level (low, medium, high) to each user and sign-in event, and can trigger conditional access policies for automatic remediation like requiring MFA or blocking access. The risk data is accessible via the Microsoft Graph API's `identityRiskEvent` endpoint, allowing SIEM tools to ingest JSON payloads for correlation and alerting. A subtle behavior is that Identity Protection requires Microsoft Entra ID P2 licensing to generate risk reports and enable automated responses, while risk detection itself is available in P1.

KKey Concepts to Remember

  • Identity Protection uses machine learning to detect identity risks.
  • It identifies risks like impossible travel, leaked credentials, and anonymous IP sign-ins.
  • Provides reports on risky users and sign-ins.
  • Risk data is accessible via Microsoft Graph API for SIEM integration.

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

Identity Protection uses machine learning to detect identity risks.

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.

What to study next

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Review identity Protection uses machine learning to detect identity risks., then practise related AZ-305 questions on the same topic to reinforce the concept.

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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 — Identity Protection uses machine learning to detect identity risks..

What is the correct answer to this question?

The correct answer is: Microsoft Entra ID Identity Protection — Microsoft Entra ID Identity Protection is the correct feature because it provides automated detection of identity-based risks such as leaked credentials, impossible travel, and sign-ins from anonymous IP addresses. It generates risk event reports and exposes risk data through the Microsoft Graph API, enabling integration with SIEM systems for centralized monitoring and response.

What should I do if I get this AZ-305 question wrong?

Review identity Protection uses machine learning to detect identity risks., then practise related AZ-305 questions on the same topic to reinforce the concept.

What is the key concept behind this question?

Identity Protection uses machine learning to detect identity risks.

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Last reviewed: Jun 30, 2026

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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.