The answer is to use a trainable classifier and train it with sample data. This is correct because trainable classifiers in Microsoft Purview Communication Compliance use machine learning to analyze the specific language and context of your organization’s communications, learning from curated examples of insider trading discussions to accurately flag violations while ignoring benign messages. On the SC-900 exam, this concept tests your understanding of how to balance detection accuracy with minimizing false positives—a common trap is confusing sensitivity thresholds with classifier training, but remember that thresholds only adjust alert volume, not precision. A key memory tip is to think of trainable classifiers as “smart filters” that learn from your data, unlike static keyword lists which are prone to noise.
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. 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. 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 is implementing Microsoft Purview Communication Compliance to detect potential regulatory violations. You need to configure a policy that alerts when employees discuss insider trading in emails and Microsoft Teams messages. The solution should minimize false positives. Which action should you take?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use a trainable classifier and train it with sample data
Option B is correct because training trainable classifiers with relevant sample data improves accuracy and reduces false positives. Option A is wrong because increasing the sensitivity threshold reduces alerts, increasing false negatives. Option C is wrong because including all messages increases noise. Option D is wrong because a global keyword list is less accurate than a trainable classifier.
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.
✗
Include all message types without filtering
Why it's wrong here
Including all messages increases volume and false positives.
✓
Use a trainable classifier and train it with sample data
Why this is correct
Trainable classifiers learn from examples and improve detection accuracy.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Create a global keyword list of insider trading terms
Why it's wrong here
Keyword lists are less accurate and can produce many false positives.
✗
Set the policy sensitivity threshold to 90%
Why it's wrong here
A high threshold may miss many actual violations, increasing false negatives.
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.
Trap categories for this question
Keyword trap
Keyword lists are less accurate and can produce many false positives.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this SC-900 question in full detail.
Identify which SC-900 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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: Use a trainable classifier and train it with sample data — Option B is correct because training trainable classifiers with relevant sample data improves accuracy and reduces false positives. Option A is wrong because increasing the sensitivity threshold reduces alerts, increasing false negatives. Option C is wrong because including all messages increases noise. Option D is wrong because a global keyword list is less accurate than a trainable classifier.
What should I do if I get this SC-900 question wrong?
Identify which SC-900 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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 →
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. Your organization uses Microsoft Purview Communication Compliance to detect harassing messages. You receive an alert for a message that appears to be a joke between colleagues. What should you do to prevent similar false positives?
hard
A.Train users not to joke about sensitive topics
B.Delete the alert and ignore future similar messages
✓ C.Refine the policy conditions to exclude certain keywords or users
D.Turn off the policy and use a different solution
Why C: Option C is correct because you can refine the policy conditions to reduce false positives, such as excluding certain words or users. Option A is wrong because turning off the policy would stop detection entirely. Option B is wrong because training users may not address the policy configuration. Option D is wrong because the correct action is to adjust the policy, not delete it.
Last reviewed: Jun 21, 2026
Question Discussion
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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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