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| Topic | Details |
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| Topic 1 | - Automation and Efficiency: This section assesses Automation Engineers and SOAR Specialists in streamlining security operations. It covers developing automation for SOPs, optimizing case management workflows, utilizing REST APIs, designing SOAR playbooks for response automation, and evaluating integrations between Splunk Enterprise Security and SOAR tools.
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| Topic 2 | - Building Effective Security Processes and Programs: This section targets Security Program Managers and Compliance Officers, focusing on operationalizing security workflows. It involves researching and integrating threat intelligence, applying risk and detection prioritization methodologies, and developing documentation or standard operating procedures (SOPs) to maintain robust security practices.
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| Topic 3 | - Detection Engineering: This section evaluates the expertise of Threat Hunters and SOC Engineers in developing and refining security detections. Topics include creating and tuning correlation searches, integrating contextual data into detections, applying risk-based modifiers, generating actionable Notable Events, and managing the lifecycle of detection rules to adapt to evolving threats.
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| Topic 4 | - Data Engineering: This section of the exam measures the skills of Security Analysts and Cybersecurity Engineers and covers foundational data management tasks. It includes performing data review and analysis, creating and maintaining efficient data indexing, and applying Splunk methods for data normalization to ensure structured and usable datasets for security operations.
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| Topic 5 | - Auditing and Reporting on Security Programs: This section tests Auditors and Security Architects on validating and communicating program effectiveness. It includes designing security metrics, generating compliance reports, and building dashboards to visualize program performance and vulnerabilities for stakeholders.
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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q15-Q20):
NEW QUESTION # 15
What are essential steps in developing threat intelligence for a security program?(Choosethree)
- A. Conducting regular penetration tests
- B. Analyzing and correlating threat data
- C. Operationalizing intelligence through workflows
- D. Collecting data from trusted sources
- E. Creating dashboards for executives
Answer: B,C,D
Explanation:
Threat intelligence in Splunk Enterprise Security (ES) enhances SOC capabilities by identifying known attack patterns, suspicious activity, and malicious indicators.
Essential Steps in Developing Threat Intelligence:
Collecting Data from Trusted Sources (A)
Gather data from threat intelligence feeds (e.g., STIX, TAXII, OpenCTI, VirusTotal, AbuseIPDB).
Include internal logs, honeypots, and third-party security vendors.
Analyzing and Correlating Threat Data (C)
Use correlation searches to match known threat indicators against live data.
Identify patterns in network traffic, logs, and endpoint activity.
Operationalizing Intelligence Through Workflows (E)
Automate responses using Splunk SOAR (Security Orchestration, Automation, and Response).
Enhance alert prioritization by integrating intelligence into risk-based alerting (RBA).
NEW QUESTION # 16
Engineers are commonly asked to turn data sources like EDR alerts into risk events. Doing so requires a dynamic mapping of the signatures in the rule to MITRE ATT&CK. Which of the following fields could be used to dynamically set the MITRE ATT&CK technique ID for the EDR alerts?
- A. annotations.mitre_attack.mitre_technique_id
- B. annotations.mitre_attack.tactic_id
- C. mitre_attack.tactic_id
- D. mitre_attack.mitre_technique_id
Answer: A
Explanation:
Risk-based alerting expects MITRE ATT&CK mappings to be provided through the annotations namespace. The correct dynamic field for specifying the ATT&CK technique ID is annotations.mitre_attack.mitre_technique_id, which Splunk uses when generating risk events.
NEW QUESTION # 17
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?
- A. MTTR
- B. MTBR
- C. MTTI
- D. MTTD
Answer: A
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 # 18
Which Splunk feature helps to standardize data for better search accuracy and detection logic?
- A. Data Models
- B. Field Extraction
- C. Event Correlation
- D. Normalization Rules
Answer: A
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 # 19
An engineer wants to track and report on all authentication to corporate assets, and wants to prioritize critical assets without significantly increasing the number of findings (notable events) generated. What process could be used to accomplish this goal?
- A. Decrease the risk score of non-critical assets in all existing detections.
- B. Add the critical assets to the risk data model.
- C. Add all access attempts to the Risk Index, and increase the Criticality of the critical assets.
- D. Determine a general risk rule for all access attempts to all assets, and then increase the Risk Factor for critical assets.
Answer: C
Explanation:
By adding all access attempts to the Risk Index and then increasing the Criticality of critical assets, the engineer ensures all authentication activity is tracked while prioritizing findings involving high-value assets. This approach leverages risk-based alerting without flooding the SOC with unnecessary notable events.
NEW QUESTION # 20
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