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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: Detection Engineering | 40% | - Notable event generation and lifecycle management - Creation and tuning of detections (Correlation Searches) - Detection enrichment with context and risk-based alerting |
| Topic 3: Data Engineering | 10% | - Indexing performance and management - Data ingestion and onboarding - Data parsing, normalization, and CIM alignment |
| Topic 4: Security Automation (SOAR) | 30% | - Incident response automation and orchestration - Playbook design and automation workflows |
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NEW QUESTION # 88
Which Splunk feature helps to standardize data for better search accuracy and detection logic?
Answer: C
Explanation:
Why Use "Data Models" for Standardized Search Accuracy and Detection Logic?
SplunkData Modelsprovide astructured, normalized representationof raw logs, improving:
#Search consistency across different log sources#Detection logic by ensuring standardized field names#Faster and more efficient querieswith data model acceleration
#Example in Splunk Enterprise Security:#Scenario:A SOC team monitors login failures acrossmultiple authentication systems.#Without Data Models:Different logs usesrc_ip, source_ip, or ip_address, making searches complex.#With Data Models:All fieldsmap to a standard format, enablingconsistent detection logic.
Why Not the Other Options?
#A. Field Extraction- Extracts fields from raw events butdoes not standardize field names across sources.#C.
Event Correlation- Detects relationships between logsbut doesn't normalize data for search accuracy.#D.
Normalization Rules- A general term; Splunkuses CIM & Data Models for normalization.
References & Learning Resources
#Splunk Data Models Documentation: https://docs.splunk.com/Documentation/Splunk/latest/Knowledge
/Aboutdatamodels#Using CIM & Data Models for Security Analytics: https://splunkbase.splunk.com/app
/263#How Data Models Improve Search Performance: https://www.splunk.com/en_us/blog/tips-and-
NEW QUESTION # 89
Which of the following should an engineer do as they evaluate their Threat Detection and Incident Response lifecycle?
Answer: A
Explanation:
An engineer should evaluate the threat process lifecycle based on contextual business and industry knowledge. This ensures that detection and response efforts are aligned with the threats most relevant to the organization's environment, industry risks, and business priorities.
NEW QUESTION # 90
Which practices strengthen the development of Standard Operating Procedures (SOPs)?(Choosethree)
Answer: A,C,D
Explanation:
Why Are These Practices Essential for SOP Development?
Standard Operating Procedures (SOPs)are crucial for ensuring consistent, repeatable, and effective security operations in aSecurity Operations Center (SOC). Strengthening SOP development ensuresefficiency, clarity, and adaptabilityin responding to incidents.
1##Regular Updates Based on Feedback (Answer A)
Security threats evolve, andSOPs must be updatedbased onreal-world incidents, analyst feedback, and lessons learned.
Example: Anew ransomware variantis detected; theSOP is updatedto include aspecific containment playbookin Splunk SOAR.
2##Collaborating with Cross-Functional Teams (Answer C)
Effective SOPs requireinput from SOC analysts, threat hunters, IT, compliance teams, and DevSecOps.
Ensures thatall relevant security and business perspectivesare covered.
Example: ASOC team collaborates with DevOpsto ensure that acloud security response SOPaligns with AWS security controls.
3##Including Detailed Step-by-Step Instructions (Answer D)
SOPs should provideclear, actionable, and standardizedsteps for security analysts.
Example: ASplunk ES incident response SOPshould include:
How to investigate a security alertusing correlation searches.
How to escalate incidentsbased on risk levels.
How to trigger a Splunk SOAR playbookfor automated remediation.
Why Not the Other Options?
#B. Focusing solely on high-risk scenarios-All security events matter, not just high-risk ones.Low-level alertscan be early indicators of larger threats.#E. Excluding historical incident data- Past incidents providevaluable lessonsto improveSOPs and incident response workflows.
References & Learning Resources
#Best Practices for SOPs in Cybersecurity:https://www.nist.gov/cybersecurity-framework#Splunk SOAR Playbook SOP Development: https://docs.splunk.com/Documentation/SOAR#Incident Response SOPs with Splunk: https://splunkbase.splunk.com
NEW QUESTION # 91
What is one method used in ESCU content to calculate a risk score when creating a detection that uses the Risk Analysis adaptive response action?
Answer: C
Explanation:
A common ESCU methodology calculates risk as:
Risk Score = Impact × Confidence / 100
Impact represents the potential significance or consequence of the detected behavior, while confidence represents how strongly the analytic supports the conclusion that the activity is security-relevant. Dividing by
100 normalizes the confidence percentage when combining the two values.
For example, if a detection has an impact value of 80 and confidence of 75%, the resulting score is:
80 × 75 / 100 = 60
This methodology prevents a high-impact but low-confidence analytic from automatically producing the same risk contribution as a high-impact, high-confidence detection. It therefore supports Risk-Based Alerting by allowing individual detections to contribute proportional evidence to a user, host, or other risk object.
Risk-object priority or severity can still influence downstream prioritization through contextual enrichment and Risk Factors, but those concepts are distinct from this ESCU risk-score calculation. The supplied Cybersecurity Defense Engineer material separately reinforces the role of risk scores, Risk Factors, and contextual prioritization in Enterprise Security.
Study Guide topics: ESCU, Risk Analysis adaptive response action, risk score, impact, confidence, Risk- Based Alerting, risk objects.
NEW QUESTION # 92
Which type of correlation search reviews the events in the risk index and uses an aggregation of events impacting a single risk object to generate risk notables?
Answer: A
NEW QUESTION # 93
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