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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security Operations and Program Development | 20% | - SOC process design and operational workflows - Threat intelligence integration |
| Topic 2: Security Automation (SOAR) | 30% | - Playbook design and automation workflows - Incident response automation and orchestration |
| Topic 3: Data Engineering | 10% | - Data parsing, normalization, and CIM alignment - Data ingestion and onboarding - Indexing performance and management |
| Topic 4: Detection Engineering | 40% | - Notable event generation and lifecycle management - Detection enrichment with context and risk-based alerting - Creation and tuning of detections (Correlation Searches) |
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NEW QUESTION # 49
The Director of Security would like to understand the operational efficiency of the SOC analysts at a high level. What is a metric that can be used to determine their efficiency?
Answer: D
Explanation:
Mean Time to Respond (MTTR) measures how quickly SOC analysts take action after an alert is identified. It is a key high-level indicator of SOC operational efficiency.
NEW QUESTION # 50
When developing security metrics, why would a Key Performance Indicator (KPI) that focuses on total perimeter firewall blocks be an ineffective metric?
Answer: A
Explanation:
A total count of blocked firewall connections describes an outcome generated by the control , rather than measuring how effectively the firewall itself performs against an established operational objective. It is therefore better characterized as a Key Result Indicator (KRI) in the terminology used by the course material.
For example, observing five million blocked connections does not demonstrate that a firewall is performing better than one that blocks one million. The total is heavily influenced by external conditions such as Internet scanning, bot activity, exposure of public services, and changing adversary traffic. The number can increase even when no improvement has occurred in firewall configuration, reliability, policy quality, or security effectiveness.
A meaningful KPI should connect directly to measurable performance-for example control availability, policy deployment accuracy, remediation time, rule-review compliance, or another defined operational objective. Firewall-block volume may remain useful as contextual or trend information, but treating it as a performance metric can produce misleading conclusions about security-program effectiveness.
The supplied study material contains this firewall KPI/KRI distinction.
Study Guide topics: security metrics, KPI versus KRI, control effectiveness, perimeter security, security- program reporting.
NEW QUESTION # 51
Lookups append fields from an external source to events based on the values of fields that are already present in those events. What are the four supported lookup types?
Answer: C
Explanation:
The four supported lookup types in Splunk are:
1. CSV - static lookups from comma-separated files.
2. External - scripts or commands that return lookup results dynamically.
3. Geospatial - for mapping geographic data.
4. KV Store - lookups backed by Splunk's key-value store for dynamic, structured data.
NEW QUESTION # 52
A security analyst needs to update the SOP for handling phishing incidents.
What should they prioritize?
Answer: C
Explanation:
Updating the SOP for Handling Phishing Incidents
AStandard Operating Procedure (SOP)should focus onprevention, detection, and response.
#1. Documenting Steps for User Awareness Training (C)
Training employeeshelps prevent phishing incidents.
Example:
Teach users toidentify phishing emails and report them via a Splunk SOAR playbook.
#Incorrect Answers:
A: Ensuring all reports are manually verified by analysts#Automation(via SOAR) should be used forinitial triage.
B: Automating the isolation of suspected phishing emails# Automation is useful, butuser education prevents incidents.
D: Reporting incidents to the executive board immediately#Only major security breachesshould beescalated to executives.
#Additional Resources:
NIST Incident Response Guide
Splunk Phishing Detection Playbooks
NEW QUESTION # 53
How can you incorporate additional context into notable events generated by correlation searches?
Answer: C
Explanation:
In Splunk Enterprise Security (ES), notable events are generated by correlation searches, which are predefined searches designed to detect security incidents by analyzing logs and alerts from multiple data sources. Adding additional context to these notable events enhances their value for analysts and improves the efficiency of incident response.
To incorporate additional context, you can:
Use lookup tables to enrich data with information such as asset details, threat intelligence, and user identity.
Leverage KV Store or external enrichment sources like CMDB (Configuration Management Database) and identity management solutions.
Apply Splunk macros or eval commands to transform and enhance event data dynamically.
Use Adaptive Response Actions in Splunk ES to pull additional information into a notable event.
The correct answer is A. By adding enriched fields during search execution, because enrichment occurs dynamically during search execution, ensuring that additional fields (such as geolocation, asset owner, and risk score) are included in the notable event.
NEW QUESTION # 54
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