[Jun 01, 2026] Google Security-Operations-Engineer Real Exam Questions and Answers FREE
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NEW QUESTION # 76
You are a SOC analyst working a case in Google Security Operations (SecOps). The case contains a file hash that your playbooks have automatically enriched with VirusTotal context and categorized as likely malicious. You need to quickly identify devices and users in your organization who have interacted with this file. What should you do?
- A. Use a manual action in Google SecOps SOAR to query your threat intelligence platform (TIP) for the presence of the file hash.
- B. Build a playbook to query your threat intelligence platform (TIP) for the presence of the file hash.
- C. Build a playbook to perform a UDM search matching on the file hash in Google SecOps SIEM.
- D. Use a manual action in Google SecOps SOAR to perform a UDM search matching on the file hash in Google SecOps SIEM.
Answer: C
Explanation:
The most effective approach is to build a playbook to perform a UDM search matching on the file hash in Google SecOps SIEM. This will automatically search across your ingested telemetry to identify all devices and users that have interacted with the file, accelerating response and investigation without requiring manual intervention.
NEW QUESTION # 77
You are implementing Google Security Operations (SecOps) at your organization. You discover that the current detection rules are too noisy. Due to the high volume of alerts, some true positives might be missed. You want to ingest additional context sources to reduce false positives in your security detections and to improve the overall positive ratio of the alerts. What should you do?
- A. Ingest high-value asset (HVA) data from your configuration management database (CMDB) system to increase the priority of the alerts based on the sensitivity of the assets found in the detection rules.
- B. Ingest tactics, techniques, and procedures (TTPs) from your threat intelligence system to validate the processes and tools with the detection rules.
- C. Ingest dark web forum handlers from your threat intelligence system to match dark web principals within the detection rules.
- D. Ingest IOCs from your threat intelligence system to validate the IP addresses, domains and hashes with the detection rules.
Answer: A
Explanation:
Ingesting high-value asset (HVA) data from the CMDB allows Google SecOps to prioritize alerts based on the sensitivity and criticality of the affected systems. This reduces noise by helping analysts focus on detections involving critical assets, improving the signal-to-noise ratio and ensuring true positives on important systems are not missed.
NEW QUESTION # 78
You are responsible for monitoring the ingestion of critical Windows server logs to Google Security Operations (SecOps) by using the Bindplane agent. You want to receive an immediate notification when no logs have been ingested for over 30 minutes. You want to use the most efficient notification solution. What should you do?
- A. Create a new alert policy in Cloud Monitoring that triggers a notification based on the absence of logs from the server's hostname.
- B. Configure the Windows server to send an email notification if there is an error in the Bindplane process.
- C. Create a new YARA-L rule in Google SecOps SIEM to detect the absence of logs from the server within a 30-minute window.
- D. Configure a Bindplane agent to send a heartbeat signal to Google SecOps every 15 minutes, and create an alert if two heartbeats are missed.
Answer: A
Explanation:
The most efficient and native solution is to use the Google Cloud operations suite. Google Security Operations (SecOps) automatically exports its own ingestion health metrics to Cloud Monitoring. These metrics provide detailed information about the logs being ingested, including log counts, parser errors, and event counts, and can be filtered by dimensions such as hostname.
To solve this, an engineer would navigate to Cloud Monitoring and create a new alert policy. This policy would be configured to monitor the chronicle.googleapis.com/ingestion/log_entry_count metric, filtering it for the specific hostname of the critical Windows server.
Crucially, Cloud Monitoring alerting policies have a built-in condition type for "metric absence." The engineer would configure this condition to trigger if no data points are received for the specified metric (logs from that server) for a duration of 30 minutes. When this condition is met, the policy will automatically send a notification to the desired channels (e.g., email, PagerDuty). This is the standard, out-of-the-box method for monitoring log pipeline health and requires no custom rules (Option B) or custom heartbeat configurations (Option C).
(Reference: Google Cloud documentation, "Google SecOps ingestion metrics and monitoring"; "Cloud Monitoring - Alerting on metric absence")
NEW QUESTION # 79
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?
- A. Create a Looker dashboard that queries the BigQuery ingestion metrics schema for each log_type and collector_id.
- B. Create a notification in Cloud Monitoring using a metric-absence condition based on sample policy for each collector_id.
- C. Create an ingestion notification for health metrics in Cloud Monitoring based on the total ingested log count for each collector_id.
- D. Create a Google SecOps dashboard that shows the ingestion metrics for each iog_cype and collector_id.
Answer: B
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 # 80
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?
- A. Ingest logs from Windows Sysmon.
- B. Ingest logs from Microsoft Entra ID.
- C. Ingest logs from Windows Procmon.
- D. Ingest logs from Windows PowerShell.
Answer: A
Explanation:
To ensure the principal.user.userid field captures all relevant activity, you should ingest logs from Windows Sysmon. Sysmon provides detailed system activity, including process creation, network connections, and user context, which complements EDR and Windows Event logs, allowing YARA-L rules to match across all endpoint telemetry.
NEW QUESTION # 81
A Google Security Operations (SecOps) detection rule is generating frequent false positive alerts.
The rule was designed to detect suspicious Cloud Storage enumeration by triggering an alert whenever the storage.objects.list API operation is called using the api.operation UDM field.
However, a legitimate backup automation tool that uses the same API, causing the rule to fire unnecessarily. You need to reduce these false positives from this trusted backup tool while still detecting potentially malicious usage. How should you modify the rule to improve its accuracy?
- A. Replace api.operation with api.service_name = "storage.googleapis.com" to narrow the detection scope.
- B. Convert the rule into a multi-event rule that looks for repeated API calls across multiple buckets.
- C. Adjust the rule severity to LOWto deprioritize alerts from automation tools.
- D. Add principal.user.email != "[email protected]" to the rule condition to exclude the automation account.
Answer: D
Explanation:
The most accurate way to reduce false positives is to exclude the known trusted backup automation account by adding a condition such as principal.user.email != "backup- [email protected]". This keeps the rule active for all other accounts, ensuring you still detect suspicious or malicious Cloud Storage enumeration while preventing unnecessary alerts from legitimate automation.
NEW QUESTION # 82
You are responsible for selecting and prioritizing potential sources of data to integrate with Google Security Operations (SecOps). Your company has recently started using several Google Cloud services to increase security in its Google Cloud organization. You need to determine which logs should be ingested into Google SecOps to reduce the effort required to write detections. What should you do?
- A. Ingest Google Cloud Armor logs by using Cloud Logging.
- B. Integrate Security Command Center (SCC) into Google SecOps to ingest logs originating from the Google Cloud services.
- C. Use Google Threat Intelligence to gain insight about threat group behavior and support threat hunting activities.
- D. Deploy a Bindplane agent to ingest event logs from Compute Engine VMs that provide endpoint visibility.
Answer: B
Explanation:
Integrating Security Command Center (SCC) into Google Security Operations (SecOps) provides a centralized source of security findings from Google Cloud services. SCC normalizes and correlates data from multiple native Google Cloud sources (e.g., IAM, VPC, GKE, VM Threat Detection, Cloud Armor), which reduces the effort required to write detections since findings are already standardized and security-focused. This is more effective than ingesting individual service logs or only using threat intelligence.
NEW QUESTION # 83
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?
- A. Write a YARA-L rule in Google SecOps that scans historic network outbound connections against ingested threat intelligence. Run the rule in a retrohunt against the full tenant.
- B. Write a YARA-L rule in Google SecOps that compares network traffic from endpoints to recent WHOIS registrations. Run the rule in a retrohunt against the full tenant.
- C. Review Security Health Analytics (SHA) findings in Security Command Center (SCC).
- D. Load network records into BigQuery to identify endpoints that are communicating with domains outside three standard deviations of normal.
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 # 84
Your company's SOC recently responded to a ransomware incident that began with the execution of a malicious document. EDR tools contained the initial infection. However, multiple privileged service accounts continued to exhibit anomalous behavior, including credential dumping and scheduled task creation. You need to design an automated playbook in Google Security Operations (SecOps) SOAR to minimize dwell time and accelerate containment for future similar attacks. Which action should you take in your Google SecOps SOAR playbook to support containment and escalation?
- A. Configure a step that revokes OAuth tokens and suspends sessions for high-privilege accounts based on entity risk.
- B. Add a YARA-L rule that sends an alert when a document is executed using a scripting engine such as wscript.exe.
- C. Create an external API call to VirusTotal to submit hashes from forensic artifacts.
- D. Add an approval step that requires an analyst to validate the alert before executing a containment action.
Answer: A
Explanation:
Comprehensive and Detailed Explanation
The correct answer is Option C. The incident description makes it clear that endpoint containment (by EDR) was insufficient, as the attacker successfully pivoted to privileged service accounts and began post- compromise activities (credential dumping, scheduled tasks).
The goal is to automate containment and minimize dwell time.
* Option A is an enrichment/investigation action, not a containment action.
* Option B is the opposite of automation; adding a manual approval step increases dwell time and response time.
* Option D is a detection engineering task (creating a YARA-L rule), not a SOAR playbook (response) action.
Option C is the only true automated containment action that directly addresses the new threat. The anomalous behavior of the privileged accounts would raise their Entity Risk Score within Google SecOps. A modern SOAR playbook can be configured to automatically trigger on this high-risk score and execute an identity- based containment action. Revoking tokens and suspending sessions for the compromised high-privilege accounts is the most effective way to immediately stop the attacker's lateral movement and malicious activity, thereby accelerating containment and minimizing dwell time.
Exact Extract from Google Security Operations Documents:
SOAR Playbooks and Automation: Google Security Operations (SecOps) SOAR enables the orchestration and automation of security responses. Playbooks are designed to execute a series of automated steps to respond to an alert.
Identity and Access Management Integrations: SOAR playbooks can integrate directly with Identity Providers (IdPs) like Google Workspace, Okta, and Microsoft Entra ID. A critical automated containment action for compromised accounts is to revoke active OAuth tokens, suspend user sessions, or disable the account entirely. This action immediately logs the attacker out of all active sessions and prevents them from re-authenticating.
Entity Risk: Detections and anomalous activities contribute to an entity's (e.g., a user or asset) risk score.
Playbooks can be configured to use this risk score as a trigger. For example, if a high-privilege account's risk score crosses a critical threshold, the playbook can automatically execute identity containment actions.
References:
Google Cloud Documentation: Google Security Operations > Documentation > SOAR > Playbooks > Playbook Actions Google Cloud Documentation: Google Security Operations > Documentation > SOAR > Marketplace integrations > (e.g., Okta, Google Workspace) Google Cloud Documentation: Google Security Operations > Documentation > Investigate > View entity risk scores
NEW QUESTION # 85
During a proactive threat hunting exercise, you discover that a critical production project has an external identity with a highly privileged IAM role. You suspect that this is part of a larger intrusion, and it is unknown how long this identity has had access. All logs are enabled and routed to a centralized organization- level Cloud Logging bucket, and historical logs have been exported to BigQuery datasets.
You need to determine whether any actions were taken by this external identity in your environment.
What should you do?
- A. Analyze IAM recommender insights and Security Command Center (SCC) findings associated with the external identity.
- B. Execute queries against the centralized Cloud Logging bucket and the BigQuery dataset to filter for logs where the principal email matches the external identity.
- C. Analyze VPC Flow Logs exported to BigQuery, and correlate source IP addresses with potential login events for the external identity.
- D. Use Policy Analyzer to identify the resources that are accessible by the external identity. Examine the logs related to these resources in the centralized Cloud Logging bucket and the BigQuery dataset.
Answer: B
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
To definitively determine "whether any actions were taken" by a specific identity, you must search the audit logs directly for that identity's activity. The scenario specifies two data repositories: a centralized Cloud Logging bucket (for recent/retention-period logs) and BigQuery (for historical logs).
According to Google Cloud Observability and Security Operations documentation, Cloud Audit Logs (specifically Admin Activity and Data Access logs) capture "Who did what, where, and when." The primary identifier for the actor in these logs is the protoPayload.authenticationInfo.principalEmail.
Option C is the only method that directly queries the activity logs for the specific actor.
* Cloud Logging: You would use the Logging Query Language to filter: protoPayload.authenticationInfo.
principalEmail="[IDENTITY_EMAIL]".
* BigQuery: You would use SQL to query the exported tables: SELECT * FROM [DATASET.TABLE] WHERE protopayload_auditlog.authenticationInfo.principalEmail = "[IDENTITY_EMAIL]".
Options A and B focus on access potential (Recommender/Policy Analyzer) rather than historical actions.
Option D (VPC Flow Logs) records network traffic 5-tuples and does not contain identity information (principal email), making it unsuitable for attributing API actions to a specific user.
References: Google Cloud Documentation > Cloud Logging > Logging query language; Google Cloud Documentation > Cloud Audit Logs > Audit log fields
NEW QUESTION # 86
You received an IOC from your threat intelligence feed that is identified as a suspicious domain used for command and control (C2). You want to use Google Security Operations (SecOps) to investigate whether this domain appeared in your environment. You want to search for this IOC using the most efficient approach.
What should you do?
- A. Enter the IOC into the IOC Search feature, and wait for detections with this domain to appear in the Case view.
- B. Enable Group by Field in scan view to cluster events by hostname.
- C. Configure a UDM search that queries the DNS section of the network noun.
- D. Run a raw log search to search for the domain string.
Answer: C
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
The most efficient and reliable method to proactively search for a specific indicator (like a domain) in Google Security Operations is to perform a Universal Data Model (UDM) search. All ingested telemetry, including DNS logs and proxy logs, is parsed and normalized into the UDM. This allows an analyst to run a single, high- performance query against a specific, indexed field.
To search for a domain, an analyst would query a field such as network.dns.question.name or network.http.
hostname. Option B correctly identifies this as querying the "DNS section of the network noun." This approach is vastly superior to a raw log search (Option C), which is slow, inefficient, and does not leverage the normalized UDM data.
Option D (IOC Search/Matches) is a passive feature that shows automatic matches between your logs and Google's integrated threat intelligence. While it's a good place to check, a UDM search is the active, analyst- driven process for hunting for a new IoC that may have come from an external feed. Option A is a UI feature for grouping search results and is not the search method itself.
(Reference: Google Cloud documentation, "Google SecOps UDM Search overview"; "Universal Data Model noun list - Network")
NEW QUESTION # 87
You have identified and isolated a new malware sample installed by an advanced threat group that you believe was developed specifically for an attack against your organization. You want to quickly and efficiently analyze this malware to get IOCs without alerting the threat group. What should you do?
- A. Upload the malware to Google Threat Intelligence by using VirusTotal.
- B. Upload the malware to Google Threat Intelligence by using Private Scanning.
- C. Calculate the file checksum for the malware, and search for the checksum in GoogleThreat Intelligence by using VirusTotal.
- D. Search for the threat group in Google Threat Intelligence.
Answer: B
Explanation:
The correct action is to upload the malware to Google Threat Intelligence using Private Scanning.
Private Scanning allows you to analyze malware safely and extract IOCs without sharing the sample publicly. This prevents alerting the threat group while still enabling rapid and detailed intelligence gathering.
NEW QUESTION # 88
You are investigating whether an advanced persistent threat (APT) actor has operated in your organization's environment undetected. You have received threat intelligence that includes:
* A SHA256 hash for a malicious DLL
* A known command and control (C2) domain
* A behavior pattern where rundll32.exe spawns powershell.exe with obfuscated arguments Your Google Security Operations (SecOps) instance includes logs from EDR, DNS, and Windows Sysmon.
However, you have recently discovered that process hashes are not reliably captured across all endpoints due to an inconsistent Sysmon configuration. You need to use Google SecOps to develop a detection mechanism that identifies the associated activities. What should you do?
- A. Create a single-event YARA-L detection rule based on the file hash, and run the rule against historical and incoming telemetry to detect the DLL execution.
- B. Write a multi-event YARA-L detection rule that correlates the process relationship and hash, and run a retrohunt based on this rule.
- C. Use Google SecOps search to identify recent uses of rundll32.exe, and tag affected assets for watchlisting.
- D. Build a data table that contains the hash and domain, and link the list to a high-frequency rule for near real-time alerting.
Answer: D
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
The core of this problem is the unreliable data quality for the file hash. A robust detection strategy cannot depend on an unreliable data point. Options B and C are weak because they create a dependency on the SHA256 hash, which the prompt states is "not reliably captured." This would lead to missed detections.
Option A is far too broad and would generate massive noise.
The best detection engineering practice is to use the reliable IoCs in a flexible and high-performance manner.
The domain is a reliable IoC (from DNS logs), and the hash is still a valuable IoC, even if it's only intermittently available.
The standard Google SecOps method for this is to create a List (referred to here as a "data table") containing both static IoCs: the hash and the domain. An engineer can then write a single, efficient YARA-L rule that references this list. This rule would trigger if either a PROCESS_LAUNCH event is seen with a hash in the list or a NETWORK_DNS event is seen with a domain in the list (e.g., (event.principal.process.file.sha256 in
%ioc_list) or (event.network.dns.question.name in %ioc_list)). This creates a resilient detection mechanism that provides two opportunities to identify the threat, successfully working around the unreliable data problem.
(Reference: Google Cloud documentation, "YARA-L 2.0 language syntax"; "Using Lists in rules"; "Detection engineering overview")
NEW QUESTION # 89
You are developing a playbook to respond to phishing reports from users at your company. You configured a UDM query action to identify all users who have connected to a malicious domain.
You need to extract the users from the UDM query and add them as entities in an alert so the playbook can reset the password for those users. You want to minimize the amount of effort required by the SOC analyst. What should you do?
- A. Create a case for each identified user with the user designated as the entity.
- B. Configure a manual Create Entity action from the Siemplify integration that instructs the analyst to input the Entities Identifier parameter based on the results of the action.
- C. Use the Create Entity action from the Siemplify integration. Use the Expression Builder to create a placeholder with the usernames in the Entities Identifier parameter.
- D. Implement an Instruction action from the Flow integration that instructs the analyst to add the entities in the Google SecOps user interface.
Answer: C
Explanation:
The most efficient method is to use the Create Entity action from the Siemplify integration and leverage the Expression Builder to automatically extract usernames from the UDM query results and populate them into the Entities Identifier parameter. This minimizes manual effort, ensures accurate entity creation, and enables the playbook to proceed with automated remediation such as password resets.
NEW QUESTION # 90
Your company recently started pulling JSON logs from a third-party system into Google Security Operations (SecOps). You noticed that some fields are missing, and you want to parse them into UDM fields as quickly as possible. What should you do?
- A. Submit a parser improvement request to Cloud Customer Care.
- B. Create parser extensions using the no-code approach.
- C. Configure auto extraction to add the additional fields.
- D. Create parser extensions using the code snippet approach.
Answer: B
Explanation:
The fastest way to handle missing fields in JSON logs is to create parser extensions using the no- code approach in Google SecOps. This allows you to quickly map additional fields into UDM without writing code or waiting on support requests, ensuring rapid parsing and normalization of the third-party logs.
NEW QUESTION # 91
You work for an organization that operates an ecommerce platform. You have identified a remote shell on your company's web host. The existing incident response playbook is outdated and lacks specific procedures for handling this attack. You want to create a new, functional playbook that can be deployed as soon as possible by junior analysts. You plan to use available tools in Google Security Operations (SecOps) to streamline the playbook creation process. What should you do?
- A. Add instruction actions to the existing incident response playbook that include updated procedures with steps that should be completed. Have a senior analyst build out the playbook to include those new procedures.
- B. Use the playbook creation feature in Gemini, and enter details about the intended objectives. Add the necessary customizations for your environment, and test the generated playbook against a simulated remote shell alert.
- C. Use Gemini to generate a playbook based on a template from a standard incident response plan and implement automated scripts to filter network traffic based on known malicious IP addresses.
- D. Create a new custom playbook based on industry best practices, and work with an offensive security team to test the playbook against a simulated remote shell alert.
Answer: B
Explanation:
The fastest and most effective way to create a functional playbook for junior analysts is to use Gemini's playbook creation feature, provide the intended objectives, and then customize it for your environment. Testing the generated playbook against a simulated remote shell alert ensures it is practical and ready for deployment, streamlining creation while leveraging Google SecOps tools.
NEW QUESTION # 92
You are responsible for managing threat intelligence and IOC lists in your organization. You have compiled a list of IOCs from recent incidents. You want to quickly and efficiently share the IOCs with other teams for collaboration and integration into their operational processes. What should you do?
- A. Export the IOCs from Google Threat Intelligence in CSV or JSON format, and email the file to the other teams.
- B. Create a new threat graph in Google Threat Intelligence, and share the graph with the other teams.
- C. Create a list in Google Security Operations (SecOps), and grant the required access to the other teams.
- D. Add the IOCs to a collection in Google Threat Intelligence, and share the collection with the other teams.
Answer: C
Explanation:
The most efficient and collaborative approach is to create a reference list in Google SecOps and grant access to the other teams. This allows teams to directly use the IOCs in detection rules, playbooks, and investigations without manual file transfers, ensuring the data is consistently available and up-to-date across operational processes.
NEW QUESTION # 93
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