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NEW QUESTION # 61
You are responsible for identifying suspicious activity and security events in your organization's environment. You discover that some detection rules are being triggered for internal IP addresses in the 192.0.2.0/8 subnet that are causing false positive alerts. You want to improve these detection rules. What should you add to the YARA-L detection rules?
Answer: C
Explanation:
To reduce false positives from internal IP addresses in the 192.0.2.0/8 subnet, you need to exclude them in the detection rule. The correct syntax is to use not net.ip_in_range_cidr(any Se.principal.ip, "192.0.2.0/8"). This ensures that alerts are not triggered for events originating from internal addresses while still detecting truly suspicious external activity.
NEW QUESTION # 62
Your company's analyst team uses a playbook to make necessary changes to external systems that are integrated with the Google Security Operations (SecOps) platform. You need to automate the task to run once every day at a specific time. You want to use the most efficient solution that minimizes maintenance overhead.
Answer: D
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
To execute a playbook on a fixed schedule (once every day) with minimal maintenance, the standard method in Google SecOps SOAR is to utilize a Scheduled Connector (often referred to as a Cron Connector or
"Simulate Alert" mechanism).
According to Google Security Operations SOAR documentation, playbooks are primarily triggered by alerts
/cases. To run a playbook without an external security event, you must generate a synthetic alert on a schedule. The Cron connector allows you to "configure a schedule (using Cron syntax) to ingest a dummy alert." You then configure a Playbook Trigger to match this specific dummy alert. When the connector fires at the scheduled time, it creates a case, which matches the trigger, and executes the playbook containing the necessary actions.
This solution is more efficient than Option A (Custom Job) or Option D (External Script) because it utilizes native "No-Code" configuration features, avoids managing external infrastructure, and keeps the logic within the visible Playbook visual editor rather than hidden in IDE code, complying with the "minimizes maintenance overhead" requirement.
References: Google Security Operations Documentation > SOAR > Connectors > Managing Connectors
NEW QUESTION # 63
You are receiving security alerts from multiple connectors in your Google Security Operations (SecOps) instance. You need to identify which IP address entities are internal to your network and label each entity with its specific network name. This network name will be used as the trigger for the playbook.
Answer: B
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
The requirement is to identify internal entities and label them with a network name across alerts from
"multiple connectors." This is a global environment configuration task, not a per-playbook task.
In Google SecOps SOAR, you achieve this by configuring the Networks (or Environments) settings. The documentation states: "You can define your internal network ranges... When an entity is ingested, the system checks if the entity value falls within any of the defined ranges. If it does, the entity is marked as internal." Furthermore, you can assign a Network Name to these ranges. When an entity matches the range, it is automatically enriched with that network context. This allows you to set up Playbook Triggers based on the
"Network Name" field, satisfying the requirement. Option D (Enrichment step) is inefficient because it would require adding the step to every single playbook, whereas Option A solves it globally for the platform.
References: Google Security Operations Documentation > SOAR > Settings > Environments and Networks
NEW QUESTION # 64
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 # 65
Your organization recently implemented Google Security Operations (SecOps) with Applied Threat Intelligence enabled. You were notified by the networking team about potentially anomalous communications to external domains in the last 30 days. You plan to start your threat hunting by looking at communications to external domains. You are ingesting the following logs into Google SecOps:
- Firewall logs
- Proxy logs
- DNS logs
- DHCP logs
What should you do? (Choose two.)
Answer: C,D
Explanation:
Running a UDM search for low-prevalence domains first seen in the last 30 days helps uncover potentially anomalous or malicious domains, since attackers often use newly registered or rarely seen domains for C2 or exfiltration.
Using the Risk Analytics dashboard allows you to identify domains with higher normalized risk scores. Drilling into those entities helps validate whether they are new, rare, or potentially tied to malicious activity.
NEW QUESTION # 66
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