Skills measured
- Mitigate threats using Microsoft 365 Defender (25-30%)
- Mitigate threats using Azure Sentinel (40-45%)
- Mitigate threats using Azure Defender (25-30%)
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Microsoft SC-200 Exam Syllabus Topics:
| Topic | Details |
|---|---|
Mitigate threats using Microsoft 365 Defender (25-30%) | |
| Detect, investigate, respond, and remediate threats to the productivity environment by using Microsoft Defender for Office 365 | - detect, investigate, respond, and remediate threats to Microsoft Teams, SharePoint, and OneDrive - detect, investigate, respond, remediate threats to email by using Defender for Office 365 - manage data loss prevention policy alerts - assess and recommend sensitivity labels - assess and recommend insider risk policies |
| Detect, investigate, respond, and remediate endpoint threats by using Microsoft Defender for Endpoint | - manage data retention, alert notification, and advanced features - configure device attack surface reduction rules - configure and manage custom detections and alerts - respond to incidents and alerts - manage automated investigations and remediations - assess and recommend endpoint configurations to reduce and remediate vulnerabilities by using the Microsoft’s threat and vulnerability management solution. - manage Microsoft Defender for Endpoint threat indicators - analyze Microsoft Defender for Endpoint threat analytics |
| Detect, investigate, respond, and remediate identity threats | - identify and remediate security risks related to sign-in risk policies - identify and remediate security risks related to Conditional Access events - identify and remediate security risks related to Azure Active Directory - identify and remediate security risks using Secure Score - identify, investigate, and remediate security risks related to privileged identities - configure detection alerts in Azure AD Identity Protection - identify and remediate security risks related to Active Directory Domain Services using Microsoft Defender for Identity |
| Detect, investigate, respond, and remediate application threats | - identify, investigate, and remediate security risks by using Microsoft Defender for Cloud Apps - configure Microsoft Defender for Cloud Apps to generate alerts and reports to detect threats |
| Manage cross-domain investigations in Microsoft 365 Defender portal | - manage incidents across Microsoft 365 Defender products - manage actions pending approval across products - perform advanced threat hunting |
Mitigate threats using Microsoft Defender for Cloud (25-30%) | |
| Design and configure a Microsoft Defender for Cloud implementation | - plan and configure Microsoft Defender for Cloud settings, including selecting target subscriptions and workspace - configure Microsoft Defender for Cloud roles - configure data retention policies - assess and recommend cloud workload protection |
| Plan and implement the use of data connectors for ingestion of data sources in Microsoft Defender for Cloud | - identify data sources to be ingested for Microsoft Defender for Cloud - configure automated onboarding for Azure resources - connect on-premises computers - connect AWS cloud resources - connect GCP cloud resources - configure data collection |
| Manage Microsoft Defender for Cloud alert rules | - validate alert configuration - setup email notifications - create and manage alert suppression rules |
| Configure automation and remediation | - configure automated responses in Microsoft Defender for Cloud - design and configure workflow automation in Microsoft Defender for Cloud - remediate incidents by using Microsoft Defender for Cloud recommendations - create an automatic response using an Azure Resource Manager template |
| Investigate Microsoft Defender for Cloud alerts and incidents | - describe alert types for Azure workloads - manage security alerts - manage security incidents - analyze Microsoft Defender for Cloud threat intelligence - respond to Microsoft Defender Cloud for Key Vault alerts - manage user data discovered during an investigation |
Mitigate threats using Microsoft Sentinel (40-45%) | |
| Design and configure a Microsoft Sentinel workspace | - plan a Microsoft Sentinel workspace - configure Microsoft Sentinel roles - design Microsoft Sentinel data storage - configure security settings and access for Microsoft Sentinel |
| Plan and Implement the use of data connectors for ingestion of data sources in Microsoft Sentinel | - identify data sources to be ingested for Microsoft Sentinel - identify the prerequisites for a data connector - configure and use Microsoft Sentinel data connectors - configure data connectors by using Azure Policy - design and configure Syslog and CEF event collections - design and Configure Windows Security events collections - configure custom threat intelligence connectors - create custom logs in Azure Log Analytics to store custom data |
| Manage Microsoft Sentinel analytics rules | - design and configure analytics rules - create custom analytics rules to detect threats - activate Microsoft security analytics rules - configure connector provided scheduled queries - configure custom scheduled queries - define incident creation logic |
| Configure Security Orchestration Automation and Response (SOAR) in Microsoft Sentinel | - create Microsoft Sentinel playbooks - configure rules and incidents to trigger playbooks - use playbooks to remediate threats - use playbooks to manage incidents - use playbooks across Microsoft Defender solutions |
| Manage Microsoft Sentinel Incidents | - investigate incidents in Microsoft Sentinel - triage incidents in Microsoft Sentinel - respond to incidents in Microsoft Sentinel - investigate multi-workspace incidents - identify advanced threats with User and Entity Behavior Analytics (UEBA) |
| Use Microsoft Sentinel workbooks to analyze and interpret data | - activate and customize Microsoft Sentinel workbook templates - create custom workbooks - configure advanced visualizations - view and analyze Microsoft Sentinel data using workbooks - track incident metrics using the security operations efficiency workbook |
| Hunt for threats using Microsoft Sentinel | - create custom hunting queries - run hunting queries manually - monitor hunting queries by using Livestream - perform advanced hunting with notebooks - track query results with bookmarks - use hunting bookmarks for data investigations - convert a hunting query to an analytical |
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/sc-200
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Prerequisites for Microsoft SC-200 exam
Microsoft Certified: Security Operations Analyst Associate
Microsoft Security Operations Analyst (SC-200日本語版) Sample Questions:
DNS関連のアクティビティを調査するためのクエリを作成する必要があります。このソリューションは、Microsoft Sentinelの要件を満たす必要があります。クエリをどのように作成すればよいでしょうか?回答するには、回答領域で適切なオプションを選択してください。注:正解ごとに1ポイントが加算されます。
Correct Answer:

Explanation:
In Microsoft Sentinel, the Advanced Security Information Model (ASIM) provides a standardized schema and parser layer for common telemetry types (DNS, Authentication, NetworkSession, etc.). To investigate DNS- related activity, you should use the ASIM-normalized table ASim_Dns, which unifies data from multiple DNS sources (Microsoft Defender for Endpoint, Azure Firewall, DNS servers, etc.) under a consistent schema.
The ASim_Dns parser standardizes key fields such as:
TimeGenerated # timestamp of the DNS event
ResponseCodeName # name of the DNS response code (e.g., NXDOMAIN, NOERROR, etc.) QueryName # domain name queried SrcIpAddr and DstIpAddr # IP addresses involved To investigate recent DNS failures (e.g., non-existent domains), the query filters for events where:
TimeGenerated > ago(7d) - limits to the last 7 days of DNS logs.
ResponseCodeName == " NXDOMAIN " - identifies DNS lookups that returned "Non-Existent Domain," a common indicator of suspicious or misconfigured activity.
Therefore, the correct and compliant ASIM-based query syntax is:
ASim_Dns
| where TimeGenerated > ago(7d)
| where ResponseCodeName == " NXDOMAIN "
This approach ensures your investigation leverages ASIM normalization and aligns with Microsoft Sentinel best practices for DNS event analysis.
あなたはMicrosoft 365 E5のサブスクリプションをお持ちです。
Windowsデバイス上でPowerShellを使用して、Microsoft Purviewの監査ログを検索する必要があります。
まず最初に何をすべきでしょうか?
- A. TrustedHostsリストを変更する
- B. Microsoft Exchange Online PowerShellモジュールをインストールします。
- C. PowerShellリモート処理を有効にします。
- D. Microsoft Graph PowerShell モジュールをインストールします。
Correct Answer: B 🗳️
Explanation: Only visible for Prep4cram members. You can sign-up / login (it's free).
注: この質問は、同じシナリオを示す一連の質問の一部です。このシリーズの各質問には、指定された目標を達成できる可能性のある独自の解決策が含まれています。一部の質問セットには複数の正しい解決策が含まれる場合がありますが、他の質問セットには正しい解決策がない場合があります。
このセクションの質問に回答すると、その質問に戻ることはできません。そのため、これらの質問はレビュー画面には表示されません。
Active Directory との ID 統合のために Microsoft Defender を構成しています。
Microsoft Defender for ID ポータルから、攻撃者が悪用できるようにいくつかのアカウントを構成する必要があります。
解決策: アカウントを Active Directory グループに追加し、そのグループを機密グループとして追加します。
これは目標を達成していますか?
- A. いいえ
- B. はい
Correct Answer: A 🗳️
Explanation: Only visible for Prep4cram members. You can sign-up / login (it's free).
Microsoft Defender for Endpoint Plan 2 を使用する Microsoft 365 サブスクリプションがあり、その中に Device 1 という名前の Windows デバイスが含まれています。Device1 でライブレスポンスセッションを開始し、File1.exe という名前の実行可能ファイルをバックグラウンドで起動します。次の操作を実行する必要があります。
* File1 exe のコマンド ID を特定します。
* lnteractwithFile1.exe。
各アクションに対して、どのライブレスポンスコマンドを実行すべきですか?回答するには、回答欄で適切なオプションを選択してください。
注:正解ごとに1ポイントが加算されます。
Correct Answer:

Explanation:
In Microsoft Defender for Endpoint (MDE) Live Response, security analysts can remotely connect to a device and execute forensic commands. When an executable is launched in the background during a live response session using the run command (for example, run File1.exe -background), the session creates a job associated with that command.
To identify the command ID of the background process, the correct command is jobs. The jobs command lists all currently running or completed background jobs initiated during the live response session. Each job entry includes details such as the job ID, command executed, and current status. This allows analysts to determine which process corresponds to File1.exe and its associated command ID.
Once the background process is identified, you can interact with File1.exe using the fg (foreground) command. The fg command is used to bring a background job to the foreground, allowing you to interact directly with it - for instance, to send inputs, observe outputs, or terminate it.
This procedure aligns with Microsoft Defender for Endpoint documentation, which specifies:
Use jobs to view or manage background jobs.
Use fg < JobID > to interact with a specific background process.
Therefore, the correct selections are:
Identify the command ID of File1.exe: jobs
Interact with File1.exe: fg
以下のKQLクエリがあります。

Correct Answer:

Explanation:
UserName field set as the account entity: Yes
Watchlist cannot be updated after created: No
IPList variable set as the IP address entity: Yes
This Kusto Query Language (KQL) snippet is used in Microsoft Sentinel to correlate event data (Sysmon logs) with a watchlist containing known malicious IP addresses. The watchlist is retrieved using the
_GetWatchlist() function, and entity mappings are explicitly set for account, host, and IP entities.
# Step-by-step analysis:
1. UserName field as the Account entity # YES
At the end of the query, the entity mappings are defined as:
extend timestamp = TimeGenerated, AccountCustomEntity = UserName, HostCustomEntity = Computer In Microsoft Sentinel, when an analytics rule uses this query, the AccountCustomEntity mapping links the UserName field to the account entity.
This enables account-level correlation in incidents and investigation graphs.
# Therefore, Yes, the UserName field is set as the account entity.
2. The watchlist cannot be updated after it is created # NO
This statement is incorrect.
In Sentinel, watchlists are designed to be dynamic and can be updated, edited, or replaced at any time.
Official Microsoft documentation confirms:
"You can edit, update, or replace a watchlist at any time to ensure your detection logic uses current data." Hence, watchlists can be updated, either manually via the portal or programmatically via API/PowerShell.
# Therefore, No, the watchlist can be updated after it is created.
3. The IPList variable is set as the IP address entity # YES
The first line of the query defines:
let IPList = _GetWatchlist( ' Bad_IPs ' );
This loads a list of known malicious IPs from the Bad_IPs watchlist.
Later in the query:
where SourceIP in (IPList) or DestinationIP in (IPList)
This confirms IPList contains IP address values used for matching with the event's SourceIP or DestinationIP.
In Sentinel analytics rules, this variable represents IP address entities for correlation and visualization.
# Therefore, Yes, the IPList variable is set as the IP address entity.
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