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QUESTION 40
As a XSIAM engineer, you are tasked with creating a ‘Threat Landscape Overview’ dashboard that combines insights from incident data, alert data, and external threat intelligence feeds (ingested via custom integrations). The dashboard needs to display: 1) Top 5 MITRE ATT&CK techniques observed, 2) Geolocation of external threat actors, and 3) Correlation of high-severity alerts with specific campaigns. Which of the following XSIAM dashboard features are crucial for achieving this comprehensive view?

QUESTION 41
A security architect is planning the network segmentation for a new XSIAM deployment in a hybrid cloud environment. The on-premises Data Collectors will ingest logs from various sources, including Active Directory, firewalls, and endpoint security solutions. The XSIAM Data Lake is hosted on Google Cloud Platform. Which of the following communication protocols and considerations are paramount for ensuring secure and efficient data ingestion from on-premises Data Collectors to the XSIAM Data Lake, assuming a strict zero-trust policy?

QUESTION 42
A sophisticated APT group is known to use custom exfiltration techniques involving DNS tunneling. They typically encode data within legitimate-looking DNS queries to external command and control (C2) domains that are rarely queried by legitimate enterprise applications. To detect this in XSIAM, a security engineer needs to craft a BIOC rule. The rule should focus on high-volume, repetitive DNS queries to unknown or suspicious domains, especially when originating from non-DNS server assets. Which combination of XSIAM XDR fields and query logic would be most effective for this BIOC, minimizing false positives?

QUESTION 43
In which two locations can correlation rules be monitored for errors? (Choose two.)

QUESTION 44
The following string is a value of a key named “Data2” in the context:
{“@admin”:”admin”,”@dirtyld”:”1″,”@loc”:”Lab”,”@name”:”default#1″,”@oldname”:”Test”,”@time”:”2024/08/28 07:45:15″,”alert”:{“@admin”:”admin”,”@dirtyld”:”2″,”@time”:”2024/08/28 07:45:15″,”member”:
{“#text”:”
Based on the image below, what will be displayed in the “Test result” field when the “Test” button is pressed?

QUESTION 45
An XSIAM administrator is troubleshooting an issue where a specific set of XDR Agents are failing to connect to the XSIAM cloud after a Broker VM firmware update. Other agents are connecting successfully. The Broker VM’s status appears healthy in the XSIAM console, and network connectivity from the affected agents to the Broker VM is confirmed. Which of the following is the MOST likely cause and the first area to investigate on the Broker VM itself?

QUESTION 46
A critical XSIAM deployment requires the Engine to process logs from highly distributed and ephemeral cloud workloads (e.g., Kubernetes pods, serverless functions) with dynamic IP addresses. Traditional static Syslog configurations are impractical. Which of the following strategies for data ingestion into the XSIAM Engine would be most resilient and scalable for such an environment, ensuring proper context and minimal configuration overhead?

QUESTION 47
Your XSIAM environment has multiple tenants (e.g., ‘Production’, ‘Development’, ‘Test’). You are maintaining a custom content pack that contains sensitive playbooks and integrations. How would you ensure that this content pack can only be installed and utilized within the ‘Production’ tenant, preventing accidental deployment or misuse in other environments, while still allowing the same XSIAM platform to host all tenants?

QUESTION 48
What is the purpose of using rolling tokens to manage Cortex XDR agents?

QUESTION 49
Consider a scenario where an XSIAM dashboard displays ‘High Severity Incidents by Category’. The SOC manager wants to add a new widget that shows the ‘Average Time to Acknowledge’ for these high-severity incidents, broken down by assignee team. Which XQL aggregation and grouping functions are necessary to achieve this within a dashboard widget?

QUESTION 50
Your XSIAM deployment is integrated with an external vulnerability management system. A recent scan has identified several legitimate, but unpatched, internal web servers that are generating ‘Web Application Vulnerability Detected’ alerts from an XSIAM Correlation Rule. Due to business constraints, these servers cannot be patched immediately. You need to create an exclusion that dynamically adapts to new web server deployments within a specific subnet (172.16.10.0/24) while still alerting on any other web application vulnerabilities outside this specific, known-vulnerable context. Which XSIAM exclusion configuration snippet, applied to the ‘Web Application Vulnerability Detected’ rule, would achieve this? Assume and are relevant fields.

QUESTION 51
An e-commerce company is evaluating its existing incident response (IR) procedures and tooling against XSIAM’s capabilities. Their current IR process is largely manual, relying on disparate logs from multiple point solutions (SIEM, EDR, Firewall logs) and manual correlation. They use a separate ticketing system (Jira) for incident tracking. How does XSIAM’s XDR/SIEM/SOAR convergence benefit this company in improving its IR posture, and what specific steps should be taken during the XSIAM planning phase to maximize these benefits?

QUESTION 52
During a security audit, it’s identified that an XSIAM user, ‘[email protected]’, who is part of the ‘Tier 1 SOC’ AD group, has been granted ‘Administrator’ role permissions in XSIAM through a direct manual assignment, bypassing the standard IdP group-to-role mapping. The goal is to enforce that all user roles are solely derived from their IdP group memberships. How would an XSIAM administrator rectify this situation to ensure compliance?

QUESTION 53
Which common issue can result in sudden data ingestion loss for a data source that was previously successful?

QUESTION 54
A global enterprise uses XSIAM and has different security policies for its various business units (BUS). A new XSIAM detection rule, Malware_Execution_Attempt’, is critical for all BUS. However, BU ‘FinTech’ uses a highly specialized financial application that, due to its sandboxed environment, generates benign process anomalies that are falsely triggering this rule. The SOC team wants to implement an exclusion that is: 1) specific to BU ‘FinTech’, 2) applies only to alerts, and 3) dynamically excludes specific ‘process.hash’ values that are known to be benign but vary slightly with each application update. Which combination of XSIAM features would best achieve this, and how would it be architected?