Pass the Microsoft Microsoft Certified: Security Operations Analyst Associate SC-200 Questions and answers with CertsForce

The case s tudy requires:

“Ensure that the Group1 members can create and edit playbooks.”

In Microsoft Sentinel, the ability to create, edit, and assign playbooks is granted by the Microsoft Sentinel Automation Contributor role.

This role allows users to:

Create and manage automation rules,

Create and edit playbooks (Logic Apps) in the connected subscription,

Associate playbooks with Sentinel incidents or alerts.

By contrast:

Logic App Contributor allows Logic App creation but doesn’t include Sentinel-level integration permissions.

Automation Operator can run playbooks but not edit or create them.

Sentinel Playbook Operator can execute playbooks but cannot modify or assign them.

✅ Answer for Question 11: A. Microsoft Sentinel Automation Contributor

This solution also does not meet the requirement. Applying filters to the already-imported worksheet rows in Excel (or attempting to reduce rows in the workbook UI) does not change how Power Query initially samples and infers the JSON schema during the Get & Transform steps. Power Query’s schema detection typically happens on a preview/sample of the source data when the query is first evaluated. If the JSON property you need does not appear in that sampled subset, P ower Query will not create a column for it even if you later filter the data to include rows that do contain that property. In short, post-export filtering in Excel is not a reliable way to force Power Query to detect and expand missing JSON properties.

Th e reliable approaches are to increase the number of rows Power Query uses for schema detection (Query Options / Data Load / preview/sample settings) or to explicitly parse each AuditData cell with JSON.Document (or equivalent M functions) and then expand t he record fields—these approaches ensure the specific JSON properties are surfaced as columns. Reducing rows via Excel filters does not address the sampling/schema-detection behavior and therefore fails to satisfy the requirement.

Azure Sentinel (now Microsoft Sentinel) is enabled per Log Analytics workspace . Each workspace opera tes independently; analytics rules in one Sentinel workspace cannot directly query another workspace’s data unless Sentinel is also enabled there.

To use scheduled analytics rules against data in the LogsWest workspace, you must first add Microsoft Sentinel to that workspace . After Sentinel is enabled on LogsWest, you can create or connect analytics rules that query its data. You cannot simply modify workspace settings or connect data across regions without enabling Sentinel for the target workspace.

In Microsoft Sentinel workbooks , when you want to display query results in a tabular format and visually emphasize numeric values through color intensity (such as counts or frequencies), you use the Grid visualization type combined with the Heatmap column renderer .

In this scenario, the query aggregates failed sign-in events from SigninLogs and AADNonInteractiveUserSignInLogs , summar izing them by ErrorCode , FailureReason , and Category with a calculated count ( errCount ). The errCount column holds numeric data that indicates how many times each unique failure pattern occurred.

To visually represent the severity or frequency of these cou nts, you configure:

Visualization = Grid — Displays tabular data in a workbook. It’s the standard view type for showing multiple columns of query output (such as error codes and counts).

Column renderer = Heatmap — Applies a gradient color scheme to the se lected numeric column ( errCount ) so that higher values are highlighted with darker or more intense colors, making patterns or anomalies easier to spot.

Microsoft Sentinel workbook documentation explains:

“Heatmap rendering can be applied to numerical colum ns in Grid visualizations to provide color-coded representation of value ranges.”

Alternative renderers like Text or Big number do not provide dynamic color intensity, and Thresholds are used for conditional formatting rather than continuous color gradient s.

✅ Final configuration:

Visualization: Grid

Column renderer: Heatmap

Enabling User and Entity Behavior Analytics (UEBA) in Microsoft Sentinel requires permissions in both Azure Active Directory (Microsoft Entra ID) and Microsoft Sentinel because UEBA integrates identity data from Azure AD to perform behavioral analytics and anomaly detection.

Here’s the reasoning based on Microsoft’s official documentation and the principle of least privilege:

1️ ⃣ Azure AD role → Security administ rator

The Security Administrator role in Azure AD allows a user to manage security-related features , including security settings and integration of identity signals with other services like Microsoft Sentinel.

This role has the rights necessary to grant Sentinel access to Azure AD data for UEBA without requiring broader, high-privilege roles such as Global Administrator .

Microsoft documentation explicitly recommends the Security Administrator role to enable UEBA because Sentinel uses Azure AD identity inf ormation and risk detections for its entity behavior modeling.

2️ ⃣ Azure role → Microsoft Sentinel Contributor

Within Sentinel, the Microsoft Sentinel Contributor role allows a user to configure settings, enable features like UEBA, and manage analytic rule s, workbooks, and connectors , but does not grant rights to access workspace data directly (which would be excessive).

It’s the appropriate role for managing Sentinel features while adhering to the least privilege principle.

The Sentinel Responder role is t oo limited—it can handle incidents but cannot enable or configure UEBA.

✅ Final Answer:

Azure AD role: Security administrator

Azure role: Microsoft Sentinel Contributor

Microsoft Defender XDR (Defender for Endpoint decepti on) lets you plant advanced lures such as fake cached credentials on endpoints and raise incidents if an attacker tries to use them. To scope lures only to the finance machines, you first create a device group targeting those endpoints (e.g., using tags or attributes). Defender deception supports scoping rules so that planting occurs only on devices in the selected group—meeting the “finance-only” requirement.

To ensure an incident is created when the fake credentials are used, you configure a Honeytoken ac count (Identities). Honeytokens are decoy identities monitored by Microsoft Defender; any authentication attempt using these credentials generates high-fidelity alerts/incidents. After the honeytoken exists, create an advanced lure (not a basic lure) under Endpoints → Deception, select cached credentials as the lure type, associate it with the finance device group , and tie it to the honeytoken . Defender plants the decoy credentials on a random subset of targeted devices and automatically triggers incidents on attempted use—no custom detection rule required.

Thus, the correct sequence to satisfy all goals with least steps is: create device group → configure honeytoken → create advanced lure .

In Microsoft Sentinel , the Advanced Security Information Model (ASIM) provides a standardized schema and parser layer fo r 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 " — identifie s 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.

Box 1: Owner

Only the Owner can assign initiatives.

Box 2: Contributor

Only the Contributor or the Owner can apply security recommendations.

As outlined in Microsoft’s official Defender for Of fice 365 documentation, this service provides comprehensive protection against threats targeting Microsoft 365 collaboration tools—such as SharePoint Online , OneDrive for Business , and Microsoft Teams . The marketing team uses SharePoint Online for vendor c ollabora tion and has experienced incidents in which vendors uploaded malicious files. Microsoft Defender for Office 365 specifically addresses this scenario through features like Safe Attachments and Safe Links , which automatically scan uploaded or shared files for malware and block access to harmful content.

When a vendor uploads a file to SharePoint Online, Defender for Office 365 inspects the file in real time within a virtual sandbox environment before allowing users to open or share it. If malware is d etected, the system quarantines or removes the file and notifies administrators. These detection and remediation capabilities prevent infection propagation, protect sensitive marketing data, and maintain compliance with Contoso’s security posture.

By leveraging Defender for Office 365, Contoso’s marketing team can continue external collaboration safely, ensuring that all uploaded files are scanned and validated before internal access—thereby resolving their specific malware-related issue.

To remediate active attacks automatically once alerts or incidents are detected, Microsoft Sentinel uses playbooks , which are workflows built on Azure Logic Apps . These playbooks can execute remediation actions—such as isolating a machine, blocking an account, or triggering other security control chang es—without manual intervention. Microsoft’s documentation clearly states that “playbooks in Microsoft Sentinel are based on workflows built in Azure Logic Apps” and that they can “automate and orchestrate your threat response by using playbooks … run a pla ybook on-demand or automatically in response to specific alerts or incidents.”

When an analytics rule in Sentinel triggers an alert or incident, you can attach an automation rule which in turn invokes a playbook (i.e. a Logic Apps workflow) to perform the remediation steps. The automation rule defines the trigger conditions and calls the playbook action as part of its response actions.

Let us evaluate other options:

Azure Automation runbooks (Option A) are powerful for scripting in Azure (e.g., PowerShell o r Python) and can perform remediation tasks, but they are not the native mechanism within Sentinel for orchestrated, alert-driven response workflows.

Azure Functions (Option C) are serverless compute for custom code, but you would have to build and integra te orchestration logic manually; they are not the out-of-box SOAR component in Sentinel.

Azure Sentinel livestreams (Option D) is not a recognized remediation automation component—it is irrelevant in this context.

Therefore, the correct solution to remedia te active attacks (triggering automated actions in response to alerts/incidents with minimal manual effort) is to use Azure Logic Apps (via Sentinel playbooks) as the orchestration engine. Logic Apps are the documented foundation of Sentinel’s automation r esponse capabilities.