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| Section | Weight | Objectives |
|---|---|---|
| Auditing and Reporting on Security Programs | 10% | - Security report creation and population - Security metrics development and optimization - Dashboard building for program analytics |
| Building Effective Security Processes and Programs | 20% | - Threat intelligence research, integration and development - Documentation and standard operating procedures development - Risk and detection prioritization methodologies |
| Automation and Efficiency | 20% | - Automation and orchestration for standard operating procedures - Case management optimization - REST API usage and description - Response automation using SOAR playbooks - Integration and automation capability comparison between Enterprise Security and SOAR |
| Detection Engineering | 40% | - Incorporating context into detections - Risk-based modifiers and detections - Generating effective Notable Events and findings - Creation and tuning of detections and correlation searches - Detection lifecycle management |
| Data Engineering | 10% | - Performant data indexing creation and maintenance - Data normalization methods and application - Data review and analysis |
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NEW QUESTION # 14
What is the best method to operationalize the results of a threat hunt for daily use by SOC analysts?
Answer: B
Explanation:
The most effective way to operationalize a validated threat-hunting result is to create detections based on the documented findings . Threat hunting is exploratory: analysts search historical or current telemetry for behaviors that may not yet have reliable automated coverage. Once a repeatable malicious or suspicious pattern is identified and validated, detection engineering converts that knowledge into an analytic that operates continuously.
This establishes a mature feedback loop:
Threat hunt # validate behavior # document evidence # engineer detection # test # deploy # monitor and tune.
Reports and communication remain valuable, particularly for management, architecture, and lessons learned, but they do not provide continuous identification of recurrence. A detection allows the SOC to identify the behavior automatically during routine operations and present relevant results to analysts.
The detection should preserve the context learned during the hunt, including useful fields, appropriate time windows, entity information, exclusions, and potentially ATT & CK annotations or risk information.
Engineers should also assess whether the hunting evidence supports a sufficiently reliable analytic to avoid excessive false positives.
Study Guide topics: threat hunting, detection operationalization, detection lifecycle, hunt-to-detection workflow, continuous security monitoring.
NEW QUESTION # 15
A new playbook needs to be developed for automated phishing analysis and response. Configured in SOAR are integrations with Splunk Enterprise Security and actions from assets that pull in user- reported emails, perform automated threat analysis, add blocks on the proxy, and an EDR vendor to take various actions. Which would be the best workflow for the new playbook?
Answer: C
Explanation:
Option A provides the safest and most logically complete phishing automation sequence. The playbook first ingests the reported email , then submits it to the configured automated analysis or detonation service. The verdict and extracted indicators provide the evidence needed for subsequent actions. The workflow then determines scope by searching for additional recipients before performing targeted containment against confirmed malicious URLs or processes.
This follows the course ' s broader response model: obtain the artifact, analyze/contextualize it, determine scope, and then execute controlled response. The uploaded guide specifically demonstrates phishing automation in which a SOAR playbook handles submission to an analysis system, retrieves results, and makes those results available for response. It also distinguishes EDR actions such as process blocking and endpoint containment.
Option D is unsafe because it blocks all URLs and processes rather than only confirmed malicious indicators.
Options B and C refer to reviewing automated-analysis results without explicitly performing the analysis step that produces those results.
Study Guide topics: SOAR playbooks, phishing response, detonation, contextualization, scoping, proxy blocking, EDR response, automation guardrails.
NEW QUESTION # 16
An organization uses MITRE ATT&CK to enhance its threat detection capabilities.
Howshould this methodology be incorporated?
Answer: B
Explanation:
MITRE ATT&CK is a threat intelligence framework that helps security teams map attack techniques to detection rules.
#1. Develop Custom Detection Rules Based on Attack Techniques (A)
Maps Splunk correlation searches to MITRE ATT&CK techniques to detect adversary behaviors.
Example:
To detect T1078 (Valid Accounts):
index=auth_logs action=failed | stats count by user, src_ip
If an account logs in from anomalous locations, trigger an alert.
#Incorrect Answers:
B: Use it only for reporting after incidents # MITRE ATT&CK should be used proactively for threat detection.
C: Rely solely on vendor-provided threat intelligence # Custom rules tailored to an organization's threat landscape are more effective.
D: Deploy it as a replacement for current detection systems # MITRE ATT&CK complements existing SIEM
/EDR tools, not replaces them.
#Additional Resources:
MITRE ATT&CK & Splunk
Using MITRE ATT&CK in SIEMs
NEW QUESTION # 17
What are the benefits of incorporating asset and identity information into correlation searches?(Choosetwo)
Answer: A,C
Explanation:
Why is Asset and Identity Information Important in Correlation Searches?
Correlation searches in Splunk Enterprise Security (ES) analyze security events to detect anomalies, threats, and suspicious behaviors. Adding asset and identity information significantly improves security detection and response by:
1##Enhancing the Context of Detections - (Answer A)
Helps analysts understand the impact of an event by associating security alerts with specific assets and users.
Example: If a failed login attempt happens on a critical server, it's more serious than one on a guest user account.
2##Prioritizing Incidents Based on Asset Value - (Answer C)
High-value assets (CEO's laptop, production databases) need higher priority investigations.
Example: If malware is detected on a critical finance server, the SOC team prioritizes it over a low-impact system.
Why Not the Other Options?
#B. Reducing the volume of raw data indexed - Asset and identity enrichment adds more metadata;it doesn't reduce indexed data.#D. Accelerating data ingestion rates - Adding asset identity doesn't speed up ingestion; it actually introduces more processing.
References & Learning Resources
#Splunk ES Asset & Identity Framework: https://docs.splunk.com/Documentation/ES/latest/Admin
/Assetsandidentitymanagement#Correlation Searches in Splunk ES: https://docs.splunk.com/Documentation
/ES/latest/Admin/Correlationsearches
NEW QUESTION # 18
Which of the following is a reason to utilize ES risk framework as a part of detection building?
Answer: B
Explanation:
The ES (Enterprise Security) risk framework is designed to assign risk scores to events and entities, allowing security teams to prioritize security findings based on potential business impact.
This ensures that the most critical risks are addressed first, improving overall response effectiveness.
NEW QUESTION # 19
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