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These Splunk Certified Cybersecurity Defense Engineer (SPLK-5002) practice test questions are customizable and give real Splunk Certified Cybersecurity Defense Engineer (SPLK-5002) exam experience. Windows computers support desktop software. The web-based SPLK-5002 Practice Exam is supported by all browsers and operating systems.
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NEW QUESTION # 62
Which practices strengthen the development of Standard Operating Procedures (SOPs)?
(Choose three)
Answer: C,D,E
Explanation:
Why Are These Practices Essential for SOP Development?
Standard Operating Procedures (SOPs) are crucial for ensuring consistent, repeatable, and effective security operations in a Security Operations Center (SOC). Strengthening SOP development ensures efficiency, clarity, and adaptability in responding to incidents.
1. Regular Updates Based on Feedback (Answer A)
Security threats evolve, and SOPs must be updated based on real-world incidents, analyst feedback, and lessons learned.
Example: A new ransomware variant is detected; the SOP is updated to include a specific containment playbook in Splunk SOAR.
2. Collaborating with Cross-Functional Teams (Answer C) Effective SOPs require input from SOC analysts, threat hunters, IT, compliance teams, and DevSecOps.
Ensures that all relevant security and business perspectives are covered. Example: A SOC team collaborates with DevOps to ensure that a cloud security response SOP aligns with AWS security controls.
3. Including Detailed Step-by-Step Instructions (Answer D) SOPs should provide clear, actionable, and standardized steps for security analysts. Example: A Splunk ES incident response SOP should include:
How to investigate a security alert using correlation searches.
How to escalate incidents based on risk levels.
How to trigger a Splunk SOAR playbook for automated remediation.
NEW QUESTION # 63
What are essential steps in developing threat intelligence for a security program?(Choosethree)
Answer: A,B,E
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 # 64
Which features are crucial for validating integrations in Splunk SOAR? (Choose three)
Answer: A,C,E
Explanation:
Validating Integrations in Splunk SOAR
Splunk SOAR (Security Orchestration, Automation, and Response) integrates with various security tools to automate security workflows. Proper validation of integrations ensures that playbooks, threat intelligence feeds, and incident response actions function as expected.
#Key Features for Validating Integrations
1##Testing API Connectivity (A)
Ensures Splunk SOAR can communicate with external security tools (firewalls, EDR, SIEM, etc.).
Uses API testing tools like Postman or Splunk SOAR's built-in Test Connectivity feature.
2##Verifying Authentication Methods (C)
Confirms that integrations use the correct authentication type (OAuth, API Key, Username/Password, etc.).
Prevents failed automations due to expired or incorrect credentials.
3##Evaluating Automated Action Performance (D)
Monitors how well automated security actions (e.g., blocking IPs, isolating endpoints) perform.
Helps optimize playbook execution time and response accuracy.
#Incorrect Answers & Explanations
B: Monitoring data ingestion rates # Data ingestion is crucial for Splunk Enterprise, but not a core integration validation step for SOAR.
E: Increasing indexer capacity # This is related to Splunk Enterprise data indexing, not Splunk SOAR integration validation.
#Additional Resources:
Splunk SOAR Administration Guide
Splunk SOAR Playbook Validation
Splunk SOAR API Integrations
NEW QUESTION # 65
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: C
Explanation:
A Risk Incident Rule evaluates accumulated events in the risk index and determines when the combined risk associated with a particular risk object warrants escalation into an analyst-facing finding or notable.
This is a core component of Risk-Based Alerting. Individual detections can create risk events rather than immediately generating separate findings. Each event can contain a risk score, risk object, risk object type, annotations, and contextual information. A Risk Incident Rule then analyzes those events collectively. For example, a user may accumulate several moderate-risk behaviors-an unusual authentication, suspicious process activity, and anomalous access. Individually, each event may be insufficient for escalation; together, they can exceed the aggregation logic defined by the Risk Incident Rule.
This architecture significantly reduces alert fatigue because the SOC evaluates meaningful combinations of evidence rather than every low-confidence event independently.
"Risk Category" is not the correlation-search mechanism performing this aggregation. A generic "Risk Rule" does not identify the specific Enterprise Security construct being tested, and "Risk Incident Notable" describes an outcome rather than the rule evaluating risk-index activity.
Study Guide topics: Risk-Based Alerting, Risk Incident Rules, risk index, risk objects, risk aggregation, finding generation.
NEW QUESTION # 66
The threat-hunting team has identified suspicious activity. An analyst manually creates a notable event using an event action to track the activity. How should a detection engineer ensure this activity automatically produces findings in the future?
Answer: D
Explanation:
The appropriate operationalization step is to convert the threat-hunting discovery into a correlation search .
The question distinguishes between a one-time manual notable created by an analyst and repeatable detection logic capable of identifying the same behavior automatically in future telemetry. A correlation search is the Splunk Enterprise Security mechanism designed to run detection logic on a defined schedule and trigger configured security outcomes when matching events are found.
A SOAR playbook is primarily a response and orchestration mechanism. It can enrich, contain, notify, or otherwise act on findings, but it is not the correct replacement for the core analytic responsible for continuously detecting the behavior. Similarly, applying a risk modifier could contribute evidence to Risk- Based Alerting, but it does not by itself satisfy the explicit requirement to automatically produce findings matching the threat-hunting activity.
The engineering progression represented here is therefore: hunt # validate suspicious behavior # convert the successful hypothesis into a repeatable correlation search # generate analyst-consumable findings .
Study Guide topics: threat hunting, correlation searches, detection operationalization, notable findings, detection lifecycle.
NEW QUESTION # 67
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