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>> Valid Dumps XSIAM-Engineer Questions <<
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NEW QUESTION # 103
An engineer is conducting a threat actor emulated test to determine which Cortex XDR module would provide protection or alert on a real-world attack. The first test was prevented.
Which action must the engineer take to enable continued testing?
Answer: C
Explanation:
To allow continued testing after the first emulated attack was blocked, the engineer must add an indicator exclusion. This bypasses enforcement for the specific test artifact, enabling repeated execution of the scenario to validate which Cortex XDR module detects or prevents the activity.
NEW QUESTION # 104
Your organization uses XSIAM and has a critical requirement to monitor for 'Privilege Escalation' attempts within Linux environments, specifically looking for users attempting to execute commands with after a failed authentication attempt (indicating a brute-force or guessing attempt). The ASM rule should correlate 'xdr and 'xdr_process events' within a short time window. Which of the following XQL queries most accurately captures this scenario?
Answer: A
Explanation:
Option B is the most accurate and effective. It first filters for failed authentication attempts ('success = false') specifically on Linux devices. The crucial part is the operator. This allows correlating events across different datasets Cxdr_authentication_logS and 'xdr_process_eventS) that share common fields (username, device ID) within a specified short time window (1 minute). This precisely identifies the scenario: a failed login attempt followed quickly by a 'sudo' command by the same user on the same device. Option A lacks the crucial time-window correlation. Option C assumes 'sudo' command line will contain 'auth_error', which is not typical. Option D only identifies failed logins, not the subsequent 'sudo' attempt. Option E looks for successful 'sudo' and misses the failed authentication precursor.
NEW QUESTION # 105
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 # 106
A large enterprise is planning to deploy Cortex XSIAM and expects to ingest data from 50,000 endpoints, 100 network devices, and 20 cloud accounts daily, generating an estimated 5 TB of raw log data per day. The security team requires a 90-day hot storage retention and a I-year cold storage retention for compliance. Given these requirements, which of the following considerations are paramount when planning the XSIAM Engine deployment architecture to ensure optimal performance, scalability, and cost-efficiency?
Answer: B
Explanation:
While options C might seem appealing for certain scenarios, the core issue with 5TB/day ingestion and specific retention policies lies in storage and network planning. Option D directly addresses the critical aspects of local storage sizing for temporary processing and the crucial bandwidth requirements for efficient data offload to XSIAM's cloud storage for long-term retention, which is essential for performance, scalability, and cost-efficiency in such a high-volume environment. Option A is incorrect as a single monolithic instance would be a single point of failure and likely unable to handle the load. Option B is incorrect because local storage on the Engine is vital for processing and buffering. Option E is fundamentally flawed as proper planning for data volume is always necessary for any cloud-based solution.
NEW QUESTION # 107
An organization is migrating its core applications to Google Cloud Platform (GCP). The XSIAM team needs to ingest logs from various GCP services, including VPC Flow Logs, Cloud Audit Logs, and Kubernetes Engine (GKE) logs. Which of the following approaches is the most efficient and recommended for integrating these diverse GCP data sources into XSIAM?
Answer: D
Explanation:
The most efficient and recommended approach for integrating diverse GCP data sources into XSIAM is to leverage GCP's native log export capabilities combined with XSIAM's dedicated GCP data connector. Specifically, configuring GCP Sinks to export logs to Pub/Sub topics allows for real-time streaming of logs. The XSIAM native Google Cloud Platform data connector is designed to seamlessly ingest from these Pub/Sub topics, ensuring efficient and reliable data flow. Manual exports (A) are inefficient. Custom scripts (B) introduce maintenance overhead. XDR agents (D) are for endpoint telemetry, not cloud service logs. Third-party SIEM connectors (E) can work, but a native XSIAM connector is generally more optimized and supported.
NEW QUESTION # 108
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