- A
Microsoft Purview Data Loss Prevention (DLP)
Why wrong: DLP policies detect and prevent accidental sharing of sensitive data but do not include machine learning for relevance review.
- B
Microsoft Purview Audit (Premium)
Why wrong: Audit provides detailed logging of activities but does not have machine learning to prioritize documents for investigation.
- C
Microsoft Purview eDiscovery (Advanced)
eDiscovery (Advanced) includes predictive coding, which uses machine learning to identify relevant documents and accelerate the review process.
- D
Microsoft Purview Insider Risk Management
Why wrong: Insider Risk Management focuses on detecting and analyzing risky user behavior, not on reviewing documents for relevance using ML.
Question 964 of 1,411
SC-900 Practice Question: Describe the capabilities of Microsoft compliance solutions
This SC-900 practice question tests your understanding of describe the capabilities of microsoft compliance solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 legal team is preparing for an internal investigation related to a potential policy violation. They need to identify all relevant documents stored in Exchange Online and SharePoint Online, but there are millions of items across the organization. The team wants to use a machine learning model that learns from a set of manually reviewed relevant and non-relevant documents to predict relevance and prioritize review. Which Microsoft Purview solution provides this capability?
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 Purview eDiscovery (Advanced)
Microsoft Purview eDiscovery (Advanced) provides predictive coding capabilities that use machine learning to analyze a seed set of manually reviewed relevant and non-relevant documents. The model learns from this training to predict the relevance of millions of items across Exchange Online and SharePoint Online, prioritizing review for internal investigations. This directly matches the need for a machine learning model to identify and prioritize relevant documents.
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 Purview Data Loss Prevention (DLP)
Why it's wrong here
DLP policies detect and prevent accidental sharing of sensitive data but do not include machine learning for relevance review.
When this WOULD be correct
A question asking which Microsoft Purview solution helps prevent sensitive information from being shared via email or SharePoint by applying policies to detect and block unauthorized transfers would make DLP the correct answer.
- ✗
Microsoft Purview Audit (Premium)
Why it's wrong here
Audit provides detailed logging of activities but does not have machine learning to prioritize documents for investigation.
When this WOULD be correct
An organization needs to investigate a security incident and must identify all user activities (e.g., file access, email sends) within a specific time frame across Exchange Online and SharePoint Online. The team requires long-term retention of audit logs and high-bandwidth APIs to export audit data for analysis. In this scenario, Microsoft Purview Audit (Premium) would be the correct answer.
- ✓
Microsoft Purview eDiscovery (Advanced)
Why this is correct
eDiscovery (Advanced) includes predictive coding, which uses machine learning to identify relevant documents and accelerate the review process.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Microsoft Purview Insider Risk Management
Why it's wrong here
Insider Risk Management focuses on detecting and analyzing risky user behavior, not on reviewing documents for relevance using ML.
When this WOULD be correct
A scenario where an organization needs to identify and investigate users who may be engaging in risky activities (e.g., unauthorized data exfiltration, policy violations) by correlating signals from various sources (e.g., DLP alerts, user behavior) would make Insider Risk Management the correct answer.
Option-by-option analysis
Why each answer is right or wrong
Understanding why wrong answers are wrong — and when they would be correct — is what separates a 750 score from a 900. The SC-900 exam frequently reuses these exact scenarios with slightly different constraints.
✓Microsoft Purview eDiscovery (Advanced)Correct answer▾
Why this is correct
eDiscovery (Advanced) includes predictive coding, which uses machine learning to identify relevant documents and accelerate the review process.
✗Microsoft Purview Data Loss Prevention (DLP)Wrong answer — click to see why▾
Why this is wrong here
Microsoft Purview Data Loss Prevention (DLP) is designed to prevent accidental or unauthorized sharing of sensitive data, not to identify and prioritize relevant documents for legal investigations using machine learning.
★ When this WOULD be the correct answer
A question asking which Microsoft Purview solution helps prevent sensitive information from being shared via email or SharePoint by applying policies to detect and block unauthorized transfers would make DLP the correct answer.
Why candidates choose this
Candidates may confuse DLP's content analysis capabilities with eDiscovery's relevance prediction, assuming that any tool analyzing content can perform document relevance ranking for legal review.
✗Microsoft Purview Audit (Premium)Wrong answer — click to see why▾
Why this is wrong here
Microsoft Purview Audit (Premium) provides detailed auditing and investigation of user and admin activities, but it does not include machine learning models to predict document relevance for eDiscovery. The question specifically requires a solution that learns from manually reviewed documents to prioritize review, which is a feature of Advanced eDiscovery, not Audit.
★ When this WOULD be the correct answer
An organization needs to investigate a security incident and must identify all user activities (e.g., file access, email sends) within a specific time frame across Exchange Online and SharePoint Online. The team requires long-term retention of audit logs and high-bandwidth APIs to export audit data for analysis. In this scenario, Microsoft Purview Audit (Premium) would be the correct answer.
Why candidates choose this
Candidates may confuse Audit (Premium) with eDiscovery because both involve investigation and compliance. The term 'Audit' suggests reviewing records, which seems related to identifying relevant documents, but it lacks the predictive coding and machine learning capabilities required by the question.
✗Microsoft Purview Insider Risk ManagementWrong answer — click to see why▾
Why this is wrong here
Insider Risk Management is designed to detect, investigate, and act on risky user activities (e.g., data theft, policy violations) using analytics, but it does not provide a machine learning model to predict document relevance for eDiscovery review based on manually labeled samples.
★ When this WOULD be the correct answer
A scenario where an organization needs to identify and investigate users who may be engaging in risky activities (e.g., unauthorized data exfiltration, policy violations) by correlating signals from various sources (e.g., DLP alerts, user behavior) would make Insider Risk Management the correct answer.
Why candidates choose this
Candidates may confuse the 'investigation' aspect of Insider Risk Management with the legal investigation described in the question, or they may think that machine learning for risk detection is the same as machine learning for relevance prediction in eDiscovery.
Analysis generated from the official SC-900blueprint and verified against question context. The “when correct” sections are what AI assistants cite when candidates ask “what’s the difference between these options?”
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Insider Risk Management (which also uses machine learning for risk detection) with eDiscovery's predictive coding, but Insider Risk Management targets behavioral patterns and alerts, not document relevance prediction for legal hold and review.
Detailed technical explanation
How to think about this question
Predictive coding in eDiscovery (Advanced) uses a relevance model that iteratively trains on a random sample of documents, applying algorithms like logistic regression or neural networks to assign relevance scores. The system then ranks all items by score, allowing reviewers to focus on the most likely relevant documents first, dramatically reducing manual review time. In real-world scenarios, this can cut review costs by up to 70% for large-scale investigations involving millions of emails and documents.
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 compliance solutions — This question tests Describe the capabilities of Microsoft compliance solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Microsoft Purview eDiscovery (Advanced) — Microsoft Purview eDiscovery (Advanced) provides predictive coding capabilities that use machine learning to analyze a seed set of manually reviewed relevant and non-relevant documents. The model learns from this training to predict the relevance of millions of items across Exchange Online and SharePoint Online, prioritizing review for internal investigations. This directly matches the need for a machine learning model to identify and prioritize relevant documents.
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.
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Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jun 11, 2026
This SC-900 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 SC-900 exam.
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