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| Section | Objectives |
|---|---|
| Topic 1: Identity and Access Security | - IAM security monitoring
|
| Topic 2: Google Security Operations Platform | - Chronicle / Google SecOps SIEM usage
|
| Topic 3: Cloud Security Posture and Compliance | - Security configuration assessment
|
| Topic 4: Automation and Response | - Security orchestration and response
|
| Topic 5: Security Operations in Google Cloud | - Security monitoring and logging (Cloud Logging / Cloud Monitoring)
|
| Topic 6: Threat Detection and Incident Response | - Security incident investigation
|
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NEW QUESTION # 142
Your third-party application data is published in a Pub/Sub topic located in a separate Google Cloud project from your Google Security Operations (SecOps) instance. Your attempts to push data from the Pub/Sub topic to Google SecOps have failed. You need to send this data into Google SecOps in a low-latency, robust way. What should you do?
Answer: A
Explanation:
The recommended low-latency and robust method to ingest third-party Pub/Sub data into Google Security Operations (SecOps) is to create a Cloud Run function subscribed to the Pub/Sub topic.
The function can process each message and forward it securely using a Google SecOps Ingestion API key. This design handles cross-project integration cleanly, provides fault tolerance and scalability, and ensures near real-time ingestion into SecOps.
NEW QUESTION # 143
You have been tasked with creating a YARA-L detection rule in Google Security Operations (SecOps). The rule should identify when an internal host initiates a network connection to an external IP address that the Applied Threat Intelligence Fusion Feed associates with indicators attributed to a specific Advanced Persistent Threat 41 (APT41) threat group. You need to ensure that the external IP address is flagged if it has a documented relationship to other APT41 indicators within the Fusion Feed. How should you configure this YARA-L rule?
Answer: A
Explanation:
The correct configuration is to join live network connection events with Fusion Feed data on the external IP address and filter for explicit associations with APT41 or related indicators. This ensures that the detection not only matches direct IP addresses but also flags those with documented relationships to APT41 in the Fusion Feed, providing broader and more accurate detection than static lists or general confidence scores.
NEW QUESTION # 144
You are responsible for identifying suspicious activity and security events at your organization.
You have been asked to search in Google Security Operations (SecOps) for network traffic associated with an active HTTP backdoor that runs on TCP port 5555. You want to use the most effective approach to identify traffic originating from the server that is running the backdoor. What should you do?
Answer: C
Explanation:
The backdoor is running on TCP port 5555 on the server, meaning the server is the source of the traffic. In Google Security Operations (SecOps), the field principal.port represents the source port of the traffic, while target.port represents the destination. Since you want to identify traffic originating from the compromised server, filtering on principal.port = 5555 is the most effective approach.
NEW QUESTION # 145
You are implementing Google Security Operations (SecOps) with multiple log sources. You want to closely monitor the health of the ingestion pipeline's forwarders and collection agents, and detect silent sources within five minutes. What should you do?
Answer: A
Explanation:
Comprehensive and Detailed Explanation
The correct solution is Option B. This question requires a low-latency (5 minutes) notification for a silent source.
The other options are incorrect for two main reasons:
* Dashboards vs. Notifications: Options C and D are incorrect because dashboards (both in Looker and Google SecOps) are for visualization, not active, real-time alerting. They show you the status when you look at them but do not proactively notify you of a failure.
* Metric-Absence vs. Metric-Value: Google SecOps streams all its ingestion health metrics to Google Cloud Monitoring, which is the correct tool for real-time alerting. However, Option A is monitoring the "total ingested log count." This metric would require a threshold (e.g., count < 1), which can be problematic. The specific and most reliable method to detect a "silent source" (one that has stopped sending data entirely) is to use a metric-absence condition. This type of policy in Cloud Monitoring triggers only when the platform stops receiving data for a specific metric (grouped by collector_id) for a defined duration (e.g., five minutes).
Exact Extract from Google Security Operations Documents:
Use Cloud Monitoring for ingestion insights: Google SecOps uses Cloud Monitoring to send the ingestion notifications. Use this feature for ingestion notifications and ingestion volume viewing... You can integrate email notifications into existing workflows.
Set up a sample policy to detect silent Google SecOps collection agents:
* In the Google Cloud console, select Monitoring.
* Click Create Policy.
* Select a metric, such as chronicle.googleapis.com/ingestion/log_count.
* In the Transform data section, set the Time series group by to collector_id.
* Click Next.
* Select Metric absence and do the following:
* Set Alert trigger to Any time series violates.
* Set Trigger absence time to a time (e.g., 5 minutes).
* In the Notifications and name section, select a notification channel.
References:
Google Cloud Documentation: Google Security Operations > Documentation > Ingestion > Use Cloud Monitoring for ingestion insights
NEW QUESTION # 146
You are part of a cybersecurity team at a large multinational corporation that uses Google Security Operations (SecOps). You have been tasked with identifying unknown command and control nodes (C2s) that are potentially active in your organization's environment. You need to generate a list of potential matches for the unknown C2s within the next 24 hours. What should you do?
Answer: B
Explanation:
Comprehensive and Detailed 150 to 200 words of Explanation From Exact Extract Google Security Operations Engineer documents:
The key requirement is to hunt for unknown C2 nodes. This implies that the indicators will not exist in any current threat intelligence feed. Therefore, Option C is incorrect as it only hunts for known IoCs. Option A is also incorrect as Security Health Analytics (SHA) is a posture management tool, not a threat hunting tool.
Option D describes a classic and effective hypothesis-driven threat hunt. Attackers frequently use Newly Registered Domains (NRDs) for their C2 infrastructure, as these domains have no established reputation and are not yet on blocklists.
Google Security Operations (SecOps) allows an engineer to write a YARA-L rule that joins real-time event data (UDM network traffic) with contextual data (the entity graph or a custom lookup). An engineer can ingest WHOIS data or a feed of NRDs as context. The YARA-L rule would then compare outbound network connections against this context, looking for any communication with domains registered within the last 30-
90 days. By executing this rule as a retrohunt, the engineer can scan all historical data to "generate a list of potential matches" for this high-risk, anomalous behavior, which is a strong indicator of unknown C2 activity.
(Reference: Google Cloud documentation, "YARA-L 2.0 language syntax"; "Run a YARA-L retrohunt"; " Context-aware detections with entity graph")
NEW QUESTION # 147
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