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NEW QUESTION # 118
You work at a financial services company. You need to detect in near real-time when a Cloud Run functions service agent modifies the IAM policy of an Artifact Registry repository. You plan to use Security Command Center (SCC). You want to follow the Google-recommended approach.
What should you do?
Answer: C
Explanation:
The Google-recommended approach is to use Event Threat Detection (ETD) in Security Command Center (SCC) and configure a custom rule for unexpected Cloud API calls. This allows you to detect in near real-time when a specified principal (such as the Cloud Run functions service agent) modifies the IAM policy of an Artifact Registry repository, providing rapid and actionable alerts for this sensitive action.
NEW QUESTION # 119
You use Google Security Operations (SecOps) curated detections and YARA-L rules to detect suspicious activity on Windows endpoints. Your source telemetry uses EDR and Windows Events logs. Your rules match on the principal.user.userid UDM field. You need to ingest an additional log source for this field to match all possible log entries from your EDR and Windows Event logs. What should you do?
Answer: D
Explanation:
Comprehensive and Detailed Explanation
The correct answer is Option A. This question is about entity context enrichment and aliasing.
Endpoint telemetry from EDR and Windows Event Logs (like 4624) identifies users by their Windows Security Identifier (SID) (e.g., S-1-5-21-12345...). However, detection rules are more effective when they match on a human-readable and consistent identifier, like an email address or username, which is stored in principal.user.userid.
To "connect the dots" between the SID found in endpoint events and the userid, Google SecOps must ingest an authoritative user context data source. In a modern Windows environment, this source is Microsoft Entra ID (formerly Azure AD) or on-premises Active Directory.
Ingesting Entra ID logs as a USER_CONTEXT feed populates the SecOps entity graph. This allows the platform to automatically alias the SID from an endpoint log to the corresponding userid (e.g., jsmith@company.com) at ingestion time. This ensures the principal.user.userid field is correctly populated, allowing the detection rules to match.
Options B, C, and D are all additional event sources (like EDR) and would provide more SIDs, but they do not provide the central directory data needed to perform the aliasing.
Exact Extract from Google Security Operations Documents:
UDM enrichment and aliasing overview: Google Security Operations (SecOps) supports aliasing and enrichment for assets and users. Aliasing enables enrichment. For example, using aliasing, you can find the job title and employment status associated with a user ID.
How aliasing works: User aliasing uses the USER_CONTEXT event type for aliasing. This contextual data is stored as entities in the Entity Graph. When new Unified Data Model (UDM) events are ingested, enrichment uses this aliasing data to add context to the UDM event. For example, an EDR log might contain a principal.windows_sid. The enrichment process queries the entity graph (populated by your Active Directory or Entra ID feed) and populates the principal.user.userid and other fields in the principal.user noun.
References:
Google Cloud Documentation: Google Security Operations > Documentation > Event processing > UDM enrichment and aliasing overview Google Cloud Documentation: Google Security Operations > Documentation > Ingestion > Collect Microsoft Entra ID logs
NEW QUESTION # 120
You are responsible for developing and configuring data ingestion in Google Security Operations (SecOps) for your organization. Your organization is using a prebuilt parser to parse a complex but stable and common log source. The parser is working correctly. However, your organization now wants you to change the configuration to parse additional fields from the raw logs and map them to UDM fields. What should you do?
Answer: D
Explanation:
The recommended approach is to implement a parser extension on top of the prebuilt parser.
Parser extensions allow you to map additional fields from raw logs to UDM fields without modifying the existing, stable parser. This approach preserves the original parsing logic while enabling customization for the new fields.
NEW QUESTION # 121
Your organization uses Cloud Identity as their identity provider (IdP) and is a Google Security Operations (SecOps) customer. You need to grant a group of users access to the Google SecOps instance with read-only access to all resources, including detection engine rules. How should this be configured?
Answer: A
Explanation:
Comprehensive and Detailed Explanation
The correct configuration is Option A. This answer addresses two key requirements from the question: the identity mechanism (Cloud Identity) and the required permission level (read-only access including detection rules).
* Identity Mechanism (Google Group vs. Workforce Pool):
The prompt explicitly states the organization uses Cloud Identity as its identity provider (IdP). When Cloud Identity or Google Workspace is the IdP, the standard practice is to manage access using Google Groups.
Users are added to a group, and IAM roles are granted to that group. Workforce identity federation (which uses workforce pools) is the mechanism used when integrating with a third-party IdP, such as Okta or Azure AD. Since the IdP is Cloud Identity, creating a Google Group is the correct approach. This eliminates options C and D.
* Permission Level (roles/chronicle.viewer vs. roles/chronicle.limitedViewer):
The prompt requires "read-only access to all resources, including detection engine rules." The predefined Google SecOps IAM roles are specific about this distinction:
* roles/chronicle.viewer (Chronicle API Viewer): Provides "Read-only access to Google SecOps application and API resources." This role includes permissions to view detection rules and retrohunts.
* roles/chronicle.limitedViewer (Chronicle API Limited Viewer): Provides "Grants read-only access to Google SecOps application and API resources, excluding detection engine rules and retrohunts." Therefore, roles/chronicle.limitedViewer (Option B) is incorrect because it excludes access to detection engine rules, which violates the prompt's requirement. The correct role is roles/chronicle.viewer (Option A), as it grants the necessary comprehensive read-only access.
Exact Extract from Google Security Operations Documents:
On the topic of IAM roles:
Google SecOps predefined roles in IAM
Predefined role in IAM
Title
Description
roles/chronicle.viewer1
Chronicle API Viewer2
Read-only access to Google SecOps application and API resources3
roles/chronicle.limitedViewer4
Chronicle API Limited Viewer5
Grants read-only access to Google SecOps application and API resources, excluding detection engine rules and retro6hunts.
On the topic of Identity Providers:
"You can use Cloud Identity, Google Workspace, or a third-party identity provider (such as Okta or Azure AD) to manage users, groups, and authentication. This page describes how to use Cloud Identity or Google Workspace."7
"8The following example grants the Chronicle API Viewer role to to a specific group:" gcloud projects add-iam-policy-binding PROJECT_ID \
--role roles/chronicle.viewer \
--member "group:GROUP_EMAIL"
References:
Google Cloud Documentation: Google Security Operations > Documentation > Onboard > Configure feature access control using IAM Google Cloud Documentation: Google Security Operations > Documentation > Onboard > Configure a Google Cloud identity provider
NEW QUESTION # 122
Your company has deployed two on-premises firewalls. You need to configure the firewalls to send logs to Google Security Operations (SecOps) using Syslog. What should you do?
Answer: B
Explanation:
On-premises firewalls cannot send logs directly to Google SecOps. The correct approach is to deploy a third-party agent (such as Bindplane or NXLog) in your on-premises environment and configure the firewalls to forward Syslog data to that agent. The agent then reliably forwards the logs to Google SecOps for ingestion.
NEW QUESTION # 123
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