Question 597 of 1,639
Mitigate threats using Microsoft Defender XDRhardMultiple ChoiceObjective-mapped

SC-200 Mitigate threats using Microsoft Defender XDR Practice Question

This SC-200 practice question tests your understanding of mitigate threats using microsoft defender xdr. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. A key principle to apply: kQL's `DeviceProcessEvents` table tracks process creation and termination.. 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 security analyst is investigating an advanced persistent threat campaign that involves lateral movement using RDP. The analyst suspects that an attacker uses RDP from DeviceA to DeviceB, and then within a few minutes executes a malicious PowerShell script on DeviceB. The analyst wants to create a custom detection rule in Microsoft 365 Defender that triggers when this pattern occurs. Which KQL query pattern should be used to correlate these events across devices?

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 a self-join: query DeviceProcessEvents for mstsc.exe, extract the target device (e.g., from command line), and then join with another query on DeviceProcessEvents for PowerShell on the target device where the time difference between the events is less than 10 minutes.

Option A is correct because it uses a self-join on DeviceProcessEvents to first detect the mstsc.exe process (RDP client) on DeviceA, extract the target device name from the command line, and then join with a second query on DeviceProcessEvents for PowerShell on DeviceB. The join condition includes a time difference of less than 10 minutes, which directly correlates the lateral movement (RDP) with the subsequent malicious script execution across devices, matching the described attack pattern.

Key principle: KQL's `DeviceProcessEvents` table tracks process creation and termination.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Use a self-join: query DeviceProcessEvents for mstsc.exe, extract the target device (e.g., from command line), and then join with another query on DeviceProcessEvents for PowerShell on the target device where the time difference between the events is less than 10 minutes.

    Why this is correct

    This pattern correctly joins the two event sequences: the RDP client process on the source device and the subsequent script execution on the target device, with a time constraint to correlate them.

    Related concept

    KQL's `DeviceProcessEvents` table tracks process creation and termination.

  • Query DeviceNetworkEvents for RDP connections (port 3389) and then join with DeviceProcessEvents for PowerShell on the same device.

    Why it's wrong here

    Network events show connections but do not easily reveal the process that initiated them. This approach is less direct and may miss the context of the RDP client process (mstsc.exe).

  • Use the 'union' operator to combine all mstsc.exe and PowerShell events, then summarize by device and time.

    Why it's wrong here

    Union merely combines tables; it does not correlate events across devices. You need a join with a time window to link the two related events.

  • Query DeviceLogonEvents for RDP logon type and then join with DeviceProcessEvents for PowerShell on the same device.

    Why it's wrong here

    DeviceLogonEvents show successful logons, but the scenario focuses on the RDP client process (mstsc.exe) which may not always be logged as a logon event. This would miss the source device process.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often choose options that only correlate events on a single device (like B or D) or use aggregation operators like 'union' (C) that lose the cross-device temporal sequence, failing to recognize that the self-join pattern is required to correlate events across different devices in a lateral movement scenario.

Trap categories for this question

  • Command / output trap

    Network events show connections but do not easily reveal the process that initiated them. This approach is less direct and may miss the context of the RDP client process (mstsc.exe).

  • Scenario analysis trap

    DeviceLogonEvents show successful logons, but the scenario focuses on the RDP client process (mstsc.exe) which may not always be logged as a logon event. This would miss the source device process.

Detailed technical explanation

How to think about this question

In Microsoft 365 Defender, DeviceProcessEvents captures process creation events including command-line arguments, which for mstsc.exe often contain the target device name (e.g., 'mstsc.exe /v:DeviceB'). The self-join pattern leverages this by extracting the target device from the command line using parse or extract functions, then joining with a second DeviceProcessEvents query filtered for PowerShell (powershell.exe or pwsh.exe) on that target device. The time difference condition (e.g., 'where TimeGenerated between (TimeGenerated1 .. TimeGenerated1 + 10m)') ensures the events are temporally correlated, which is critical for detecting automated or scripted lateral movement where the attacker quickly executes malicious code after establishing the RDP session.

KKey Concepts to Remember

  • KQL's `DeviceProcessEvents` table tracks process creation and termination.
  • Self-joins in KQL correlate events from the same table based on derived relationships.
  • Time-based correlation (`between` operator) is vital for sequencing events in KQL.
  • Extracting data from fields like `CommandLine` is crucial for cross-event linking.

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

KQL's `DeviceProcessEvents` table tracks process creation and termination.

Real-world example

How this comes up in practice

A healthcare organisation deploys an application with a public-facing web tier and a private database tier. The database subnet has no public IP and only accepts connections from the web tier's security group. Questions like this test whether you can design cloud network isolation using VNets/VPCs, subnets, and security group rules.

What to study next

Got this wrong? Here's your next step.

Review kQL's `DeviceProcessEvents` table tracks process creation and termination., then practise related SC-200 questions on the same topic to reinforce the concept.

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FAQ

Questions learners often ask

What does this SC-200 question test?

Mitigate threats using Microsoft Defender XDR — This question tests Mitigate threats using Microsoft Defender XDR — KQL's `DeviceProcessEvents` table tracks process creation and termination..

What is the correct answer to this question?

The correct answer is: Use a self-join: query DeviceProcessEvents for mstsc.exe, extract the target device (e.g., from command line), and then join with another query on DeviceProcessEvents for PowerShell on the target device where the time difference between the events is less than 10 minutes. — Option A is correct because it uses a self-join on DeviceProcessEvents to first detect the mstsc.exe process (RDP client) on DeviceA, extract the target device name from the command line, and then join with a second query on DeviceProcessEvents for PowerShell on DeviceB. The join condition includes a time difference of less than 10 minutes, which directly correlates the lateral movement (RDP) with the subsequent malicious script execution across devices, matching the described attack pattern.

What should I do if I get this SC-200 question wrong?

Review kQL's `DeviceProcessEvents` table tracks process creation and termination., then practise related SC-200 questions on the same topic to reinforce the concept.

What is the key concept behind this question?

KQL's `DeviceProcessEvents` table tracks process creation and termination.

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Last reviewed: Jun 11, 2026

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