New SPLK-5002 Braindumps Questions - Exam Sample SPLK-5002 Online

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Splunk SPLK-5002 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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.
Topic 3	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.
Topic 4	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.
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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Free PDF Quiz 2025 Splunk High Pass-Rate SPLK-5002: New Splunk Certified Cybersecurity Defense Engineer Braindumps Questions

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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q62-Q67):

NEW QUESTION # 62
During an incident, a correlation search generates several notable events related to failed logins. The engineer notices the events are from test accounts.
Whatshould be done to address this?

A. Disable the correlation search for test accounts.
B. Suppress all notable events temporarily.
C. Apply filtering to exclude test accounts from the search results.
D. Lower the search threshold for failed logins.

Answer: C

Explanation:
When a correlation search in Splunk Enterprise Security (ES) generates excessive notable events due to test accounts, the best approach is to filter out test accounts while keeping legitimate detections active.
#1. Apply Filtering to Exclude Test Accounts (B)
Modifies the correlation search to exclude known test accounts.
Reduces false positives while keeping real threats visible.
Example:
Update the search to exclude test accounts:
index=auth_logs NOT user IN ("test_user1", "test_user2")
#Incorrect Answers:
A: Disable the correlation search for test accounts # This removes visibility into all failed logins, including those that may indicate real threats.
C: Lower the search threshold for failed logins # Would increase false positives, making it harder for SOC teams to focus on real attacks.
D: Suppress all notable events temporarily # Suppression hides all alerts, potentially missing real security incidents.
#Additional Resources:
Splunk ES: Managing Correlation Searches
Reducing False Positives in SIEM

NEW QUESTION # 63
What is the primary purpose of correlation searches in Splunk?

A. To store pre-aggregated search results
B. To extract and index raw data
C. To create dashboards for real-time monitoring
D. To identify patterns and relationships between multiple data sources

Answer: D

Explanation:
Correlation searches in Splunk Enterprise Security (ES) are a critical component of Security Operations Center (SOC) workflows, designed to detect threats by analyzing security data from multiple sources.
Primary Purpose of Correlation Searches:
Identify threats and anomalies: They detect patterns and suspicious activity by correlating logs, alerts, and events from different sources.
Automate security monitoring: By continuously running searches on ingested data, correlationsearches help reduce manual efforts for SOC analysts.
Generate notable events: When a correlation search identifies a security risk, it creates a notable event in Splunk ES for investigation.
Trigger security automation: In combination with Splunk SOAR, correlation searches can initiate automated response actions, such as isolating endpoints or blocking malicious IPs.
Since correlation searches analyze relationships and patterns across multiple data sources to detect security threats, the correct answer is B. To identify patterns and relationships between multiple data sources.
References:
Splunk ES Correlation Searches Overview
Best Practices for Correlation Searches
Splunk ES Use Cases and Notable Events

NEW QUESTION # 64
What Splunk feature is most effective for managing the lifecycle of a detection?

A. Summary indexing
B. Content management in Enterprise Security
C. Metrics indexing
D. Data model acceleration

Answer: B

Explanation:
Why Use "Content Management in Enterprise Security" for Detection Lifecycle Management?
The detection lifecycle refers to the process of creating, managing, tuning, and deprecating security detections over time. In Splunk Enterprise Security (ES), Content Management helps security teams:
#Create, update, and retire correlation searches and security content#Manage use case coverage for different threat categories#Tune detection rules to reduce false positives#Track changes in detection rules for better governance
#Example in Splunk ES:#Scenario: A company updates its threat detection strategy based on new attack techniques.#SOC analysts use Content Management in ES to:
Review existing correlation searches
Modify detection logic to adapt to new attack patterns
Archive outdated detections and enable new MITRE ATT&CK techniques
Why Not the Other Options?
#A. Data model acceleration - Improves search performance but does not manage detection lifecycles.#C.
Metrics indexing - Used for time-series data (e.g., system performance monitoring), not formanaging detections.#D. Summary indexing - Stores precomputed search results but does not control detection content.
References & Learning Resources
#Splunk ES Content Management Documentation: https://docs.splunk.com/Documentation/ES#Best Practices for Security Content Management in Splunk ES: https://www.splunk.com/en_us/blog/security#MITRE ATT&CK Integration with Splunk: https://attack.mitre.org/resources

NEW QUESTION # 65
What is the primary purpose of developing security metrics in a Splunk environment?

A. To measure and evaluate the effectiveness of security programs
B. To automate case management workflows
C. To enhance data retention policies
D. To identify low-priority alerts for suppression

Answer: A

Explanation:
Security metrics help organizations assess their security posture and make data-driven decisions.
Primary Purpose of Security Metrics in Splunk:
Measure Security Effectiveness (B)
Tracks incident response times, threat detection rates, and alert accuracy.
Helps SOC teams and leadership evaluate security program performance.
Improve Threat Detection & Incident Response
Identifies gaps in detection logic and false positives.
Helps fine-tune correlation searches and notable events.

NEW QUESTION # 66
Which methodology prioritizes risks by evaluating both their likelihood and impact?

A. Incident lifecycle management
B. Risk-based prioritization
C. Threat modeling
D. Statistical anomaly detection

Answer: B

Explanation:
Understanding Risk-Based Prioritization
Risk-based prioritization is a methodology that evaluatesboth the likelihood and impact of risksto determine which threats require immediate action.
#Why Risk-Based Prioritization?
Focuses onhigh-impact and high-likelihoodrisks first.
HelpsSOC teams manage alerts effectivelyand avoid alert fatigue.
Used inSIEM solutions (Splunk ES) and Risk-Based Alerting (RBA).
Example in Splunk Enterprise Security (ES):
Afailed login attemptfrom aninternal employeemight below risk(low impact, low likelihood).
Multiple failed loginsfrom aforeign countrywith a knownbad reputationcould behigh risk(high impact, high likelihood).
#Incorrect Answers:
A: Threat modeling# Identifies potential threats but doesn'tprioritize risks dynamically.
C: Incident lifecycle management# Focuses on handling security incidents, notrisk evaluation.
D: Statistical anomaly detection# Detects unusual activity but doesn'tprioritize based on impact.
#Additional Resources:
Splunk Risk-Based Alerting (RBA) Guide
NIST Risk Assessment Framework

NEW QUESTION # 67
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NEW SPLK-5002 BRAINDUMPS QUESTIONS - EXAM SAMPLE SPLK-5002 ONLINE

New SPLK-5002 Braindumps Questions - Exam Sample SPLK-5002 Online