Question 103 of 1,639
Manage a security operations environmenthardMultiple ChoiceObjective-mapped

Quick Answer

The correct answer is to use data collection rules (DCRs) to filter log ingestion. This works because DCRs allow you to apply KQL-based transformations that evaluate each log entry before it reaches the Log Analytics workspace, letting you drop non-critical logs while guaranteeing that security-related logs are always ingested, even as the daily quota is approached. On the SC-200 exam, this scenario tests your understanding of how to prioritize security logs with data collection rules, often appearing as a trap where candidates mistakenly choose a retention policy or a diagnostic setting instead. The key distinction is that DCRs act as a pre-ingestion filter, not a post-ingestion cleanup. Remember the memory tip: “DCRs drop before the drop-off”—meaning they discard unwanted data before the quota limit causes critical logs to be dropped.

SC-200 Manage a security operations environment Practice Question

This SC-200 practice question tests your understanding of manage a security operations environment. 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.

You manage a Microsoft Sentinel workspace that ingests logs from multiple sources. You notice that the workspace is approaching its daily ingestion quota, and some data sources are being dropped. You need to ensure that security-related logs are prioritized and that non-critical logs are not ingested. What should you configure?

Question 1hardmultiple 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

Use data collection rules (DCRs) to filter log ingestion

Data collection rules (DCRs) allow you to define transformations that filter logs before they are ingested into a Log Analytics workspace. By configuring a DCR with a KQL-based transformation, you can drop non-critical logs while ensuring security-related logs are always ingested, preventing them from being dropped when the daily quota is approached.

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.

  • Create analytic rules with entity mapping to prioritize alerts

    Why it's wrong here

    Analytic rules affect alert generation, not log ingestion.

  • Use data collection rules (DCRs) to filter log ingestion

    Why this is correct

    DCRs allow granular filtering and transformation before ingestion.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Set a daily cap on the Log Analytics workspace

    Why it's wrong here

    A daily cap stops all ingestion, not selective prioritization.

  • Configure diagnostic settings to exclude certain logs

    Why it's wrong here

    Diagnostic settings only select categories to send, they do not filter within a category.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse data collection rules (which filter at ingestion) with diagnostic settings (which control log routing) or daily caps (which stop all ingestion), failing to recognize that DCRs provide the granular control needed to prioritize specific log types.

Detailed technical explanation

How to think about this question

DCR transformations use Kusto Query Language (KQL) to filter or modify data at ingestion time, allowing you to drop non-essential logs before they count against your daily quota. For example, you can use a transformation like `where SourceSystem != 'Operations Manager'` to exclude specific log sources, while ensuring security events (e.g., from Microsoft Defender for Cloud) are always ingested. This is more efficient than post-ingestion filtering because it reduces storage and ingestion costs upfront.

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-200 question test?

Manage a security operations environment — This question tests Manage a security operations environment — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Use data collection rules (DCRs) to filter log ingestion — Data collection rules (DCRs) allow you to define transformations that filter logs before they are ingested into a Log Analytics workspace. By configuring a DCR with a KQL-based transformation, you can drop non-critical logs while ensuring security-related logs are always ingested, preventing them from being dropped when the daily quota is approached.

What should I do if I get this SC-200 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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Last reviewed: Jun 25, 2026

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