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| Section | Weight | Objectives |
|---|---|---|
| Security Operations Center (SOC) Fundamentals | 10-15% | - Security monitoring concepts - SIEM architecture in Splunk - SOC roles and responsibilities - Alert triage workflow |
| Splunk Enterprise Security (ES) Configuration | 20-25% | - ES deployment and architecture - Configuring data inputs and normalization - Managing asset and identity correlation - ES dashboards and navigation - Incident review and management |
| Splunk Enterprise Security Administration | 10-15% | - ES content management - ES upgrade and maintenance - Performance tuning and optimization - Backup and recovery procedures - User management and authentication |
| Threat Detection and Hunting | 25-30% | - Using Splunk ES threat intelligence - Search and detection frameworks - Proactive threat hunting methodologies - Creating and modifying detections - Adversarial tactics, techniques, and procedures (ATT&CK) - Notable events and risk analysis |
| Splunk SOAR for Security Automation | 10-15% | - SOAR and ES integration - SOAR platform fundamentals - Creating and managing playbooks - Incident response automation - Automation workflows and integrations |
| Incident Response and Investigation | 20-25% | - Timeline reconstruction - Investigation best practices - Using correlation searches for investigation - Malware analysis and forensics - Incident response workflows - Container and cloud environment investigation |
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NEW QUESTION # 74
An engineer has been asked to build a new dashboard after an increase in login failures across the organization's Microsoft Azure domain. They need to construct a search to only display failed logins for their Azure Active Directory users, and choose a visualization that will help analysts quickly identify failed logins that originate outside of North America. Which of the following search and visualization type combinations will achieve this?
Answer: C
Explanation:
The correct sourcetype for Azure Active Directory sign-ins is ms:aad:signin, and filtering on loginStatus=Failure ensures only failed logins are shown. Using geostats with latitude and longitude fields allows plotting login attempts geographically, and a Cluster Map visualization is best for quickly identifying failed logins originating outside of North America.
NEW QUESTION # 75
Which action improves the effectiveness of notable events in Enterprise Security?
Answer: B
Explanation:
Notable events in Splunk Enterprise Security (ES) are triggered by correlation searches, which generate alerts when suspicious activity is detected. However, if too many false positives occur, analysts waste time investigating non-issues, reducing SOC efficiency.
How to Improve Notable Events Effectiveness:
Apply suppression rules to filter out known false positives and reduce alert fatigue.
Refine correlation searches by adjusting thresholds and tuning event detection logic.
Leverage risk-based alerting (RBA) to prioritize high-risk events.
Use adaptive response actions to enrich events dynamically.
By suppressing false positives, SOC analysts focus on real threats, making notable events more actionable.
Thus, the correct answer is A. Applying suppression rules for false positives.
References:
Managing Notable Events in Splunk ES
Best Practices for Tuning Correlation Searches
Using Suppression in Splunk ES
NEW QUESTION # 76
What is the primary purpose of developing security metrics in a Splunk environment?
Answer: C
Explanation:
Security metrics help organizations assess their security posture and make data-driven decisions.
Primary Purpose of Security Metrics in Splunk:
Measure Security Effectiveness (B)
Tracks incident response times, threat detection rates, and alert accuracy.
Helps SOC teams and leadership evaluate security program performance.
Improve Threat Detection & Incident Response
Identifies gaps in detection logic and false positives.
Helps fine-tune correlation searches and notable events.
NEW QUESTION # 77
An engineer observes a high volume of false positives generated by a correlation search.
Whatsteps should they take to reduce noise without missing critical detections?
Answer: C
Explanation:
How to Reduce False Positives in Correlation Searches?
High false positives can overwhelm SOC teams, causing alert fatigue and missed real threats. The best solution is to fine-tune suppression rules and refine thresholds.
#How Suppression Rules & Threshold Tuning Help:#Suppression Rules: Prevent repeated false positives from low-risk recurring events (e.g., normal system scans).#Threshold Refinement: Adjust sensitivity to focus on true threats (e.g., changing a login failure alert from 3 to 10 failed attempts).
#Example in Splunk ES:#Scenario: A correlation search generates too many alerts for failed logins.#Fix: SOC analysts refine detection thresholds:
Suppress alerts if failed logins occur within a short timeframe but are followed by a successful login.
Only trigger an alert if failed logins exceed 10 attempts within 5 minutes.
Why Not the Other Options?
#A. Increase the frequency of the correlation search - Increases search load without reducing false positives.
#C. Disable the correlation search temporarily - Leads to blind spots in detection.#D. Limit the search to a single index - May exclude critical security logs from detection.
References & Learning Resources
#Splunk ES Correlation Search Optimization Guide: https://docs.splunk.com/Documentation/ES#Reducing False Positives in SOC Workflows: https://splunkbase.splunk.com#Fine-Tuning Security Alerts in Splunk:
https://www.splunk.com/en_us/blog/security
NEW QUESTION # 78
An EDR tool was recently purchased and needs to be integrated into existing Splunk SOAR playbooks. Which actions are typically associated with this type of asset?
Answer: B
Explanation:
EDR platforms commonly support host-level actions such as blocking malicious hashes, stopping or blocking processes, quarantining infected endpoints, and retrieving indicators for investigation.
NEW QUESTION # 79
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