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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Planning and Installation | 25% | - Architecture and Deployment Planning
|
| Topic 2: Integration and Data Onboarding | 25% | - Data Sources Integration
|
| Topic 3: Automation, Response and Troubleshooting | 25% | - Operations and Troubleshooting
|
| Topic 4: Detection Engineering and Content | 25% | - Data Modeling
|
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NEW QUESTION # 87
An analyst needs to combine endpoint telemetry with asset inventory information using a common hostname field. Which XQL command should be used?
Answer: D
Explanation:
The join command combines records from multiple datasets using a shared field, such as hostname or endpoint ID. It enriches security data by correlating related information from different sources within a single query.
NEW QUESTION # 88
A company's security team is trying to integrate a custom vulnerability scanner's output into XSIAM as new incidents. The scanner produces XML reports that need to be parsed and mapped to XSIAM incident fields (e.g., 'vulnerability_name', 'affected_asset', 'severity'). Which component of a Marketplace content pack would be primarily responsible for this parsing and mapping, and how would it typically be configured?
Answer: A
Explanation:
While Option B describes the overall process of incident ingestion, Option D specifically points to the core components within an XSOAR integration responsible for structured data transformation. The 'Classifier' determines the incident type based on incoming data, and the 'Mapper' takes the classified raw data and maps its fields to standardized XSIAM incident fields. This is the standard and most efficient way to handle structured data ingestion and mapping within an XSOAR integration that forms part of a marketplace content pack. Options A and C are less ideal for structured incident creation and mapping. Option E is incorrect.
NEW QUESTION # 89
A security engineer is tasked with integrating a custom-built internal application's security audit logs into XSIAM. The application generates JSON formatted logs directly to a dedicated S3 bucket in AWS. The logs contain critical information like user actions, access attempts, and configuration changes. The requirement is to ingest these logs efficiently and ensure they are properly parsed for XSIAM's analytics and correlation engines, while minimizing custom development within XSIAM. Which XSIAM integration approach is most suitable?
Answer: C
Explanation:
Setting up an XSIAM Data Collector (Broker) within the AWS VPC to pull logs directly from S3 is an efficient and scalable approach. XSIAM Brokers are designed for data collection from various sources, including cloud storage. XSIAM has strong capabilities for parsing JSON, often requiring only minimal configuration or custom parsing. This avoids the complexity of Lambda functions for simple ingestion and provides a robust, resilient ingestion pipeline. Using playbooks for direct ingestion might be less efficient for high volumes of raw log data compared to a dedicated data collector.
NEW QUESTION # 90
A global organization uses multiple cloud providers (AWS, Azure, GCP) and an on-premise datacenter. They want to centralize security monitoring in XSIAM, ensuring consistent policy enforcement and threat detection across all environments. They've identified the need for a unified identity management approach. Which of the following strategies best integrates identity data from these disparate sources into XSIAM for comprehensive context enrichment and enables cross-environment identity-based policy application?
Answer: B,E
Explanation:
This question allows for multiple correct approaches depending on existing infrastructure and desired level of centralization. Option A: Implementing a single source of truth for identity (e.g., Azure AD Connect syncing on-prem AD to Azure AD) and then integrating this federated identity provider with XSIAM using its native connector is highly effective. This centralizes identity management and provides a unified identity context for XSIAM, simplifying correlation across environments. Many organizations are already moving towards a centralized cloud identity provider. Option E: While requiring more effort, using a robust third-party Identity Governance and Administration (IGA) solution to aggregate all identities (on-prem AD, cloud IAMs) and then pushing this consolidated identity data to XSIAM via a custom API integration is a very strong and comprehensive solution, especially for complex global organizations. IGA solutions often provide richer identity attributes and lifecycle management, which can be invaluable for XSIAM enrichment and policy. This approach allows for a 'master' identity database that feeds XSIAM. Option B: While possible, integrating each identity provider separately and manually correlating identities in XSIAM is complex, prone to errors, and not scalable for a global organization. Option C: Relying solely on endpoint user sessions for identity context is insufficient for comprehensive identity management across cloud and on-premise environments. Option D: Inferring user identities solely from IP addresses is unreliable and lacks the rich context provided by true identity integrations.
NEW QUESTION # 91
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?
Answer: A
Explanation:
Option C is the most effective and sophisticated BIOC for detecting DNS tunneling. Option A relies on known malicious domains, which might change. Option B specifically looks for TXT records and high volume, which is better but doesn't account for legitimate TXT use or source of queries. Option D is too simplistic. Option E focuses on response codes and process reputation, which is useful but might miss successful exfiltration or legitimate unknowns. Option C combines multiple strong indicators: outbound DNS, queries not seen from legitimate DNS servers, queries not in known good domains (leveraging XSIAM's external reputation), unusually long query names (indicative of encoded data), queries not from the legitimate DNS service itself, and a high volume from a single host within a short time window. This multi-faceted approach significantly reduces false positives while effectively targeting the described exfiltration technique.
NEW QUESTION # 92
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