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Reliable SPLK-5002 Test Syllabus & 100% SPLK-5002 Accuracy

Our Splunk Certified Cybersecurity Defense Engineer (SPLK-5002) exam dumps comes in three formats: Splunk SPLK-5002 PDF dumps file, desktop-based practice test software, and a web-based practice exam. These versions are specially designed to make Splunk Certified Cybersecurity Defense Engineer (SPLK-5002) preparation for users easier. SPLK-5002 Questions in these formats of TrainingDump's material are enough grasp every test topic in the shortest time possible.

Splunk SPLK-5002 Exam Syllabus Topics:

TopicDetails
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
  • 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 3
  • 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.
Topic 4
  • 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 5
  • 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.

Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q90-Q95):

NEW QUESTION # 90
Which of the following identifies elements of the Detection Development Lifecyle (DDLC)?

Answer: C

Explanation:
The Detection Development Lifecycle (DDLC) includes the stages Design, Develop, Deploy, Monitor, and Maintain. This structured process ensures detections are thoughtfully built, effectively deployed, and continuously refined for accuracy and relevance.


NEW QUESTION # 91
How can you ensure efficient detection tuning?(Choosethree)

Answer: A,B,C

Explanation:
Ensuring Efficient Detection Tuning in Splunk Enterprise Security
Detection tuning is essential to minimize false positives and improve security visibility.
#1. Perform Regular Reviews of False Positives (A)
Reviewing false positives helps refine detection logic.
Analysts should analyze past alerts and adjust correlation rules.
Example:
Tuning a failed login correlation search to exclude known legitimate admin accounts.
#2. Use Detailed Asset and Identity Information (B)
Enriches detections with asset and user context.
Helps differentiate high-risk vs. low-risk security events.
Example:
A login from an executive's laptop is higher risk than from a test server.
#3. Automate Threshold Adjustments (D)
Dynamic thresholds adjust based on activity baselines.
Reduces false positives while maintaining security coverage.
Example:
A brute-force detection rule dynamically adjusts its alerting threshold based on normal user behavior.
C: Disable correlation searches for low-priority threats # Instead of disabling, adjust the rule sensitivity or lower alert severity.
#Additional Resources:
Splunk Security Essentials: Detection Tuning Guide
Tuning Correlation Searches in Splunk ES


NEW QUESTION # 92
While working with the SOC analysts to review current contextualization processes, a request for automation has been raised by the SOC team. They are asking for a new automation that will check a potentially malicious URL against a remote URL filtering list. Which of the following options will work for them?

Answer: B

Explanation:
The SOC can implement this automation using either an Adaptive Response Action (triggered from a notable or event) or an Input Playbook (triggered when a URL is submitted for analysis).
Both approaches allow automated checks against a remote URL filtering list to enrich and contextualize findings.


NEW QUESTION # 93
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: A

Explanation:
To ensure that suspicious activity consistently generates findings in the future, the detection engineer should create a correlation search for the identified activity. This automates detection by continuously monitoring for the same pattern and producing notable events when it occurs again.


NEW QUESTION # 94
What elements are critical for developing meaningful security metrics? (Choose three)

Answer: B,C,E

Explanation:
Key Elements of Meaningful Security Metrics
Security metrics shouldalign with business goals, be validated regularly, and have standardized definitionsto ensure reliability.
#1. Relevance to Business Objectives (A)
Security metrics should tie directly tobusiness risks and priorities.
Example:
A financial institution might trackfraud detection ratesinstead of genericmalware alerts.
#2. Regular Data Validation (B)
Ensures data accuracy byremoving false positives, duplicates, and errors.
Example:
Validatingphishing alert effectivenessby cross-checking withuser-reported emails.
#3. Consistent Definitions for Key Terms (E)
Standardized definitions preventmisinterpretation of security metrics.
Example:
Clearly definingMTTD (Mean Time to Detect) vs. MTTR (Mean Time to Respond).
#Incorrect Answers:
C: Visual representation through dashboards# Dashboards help, butdata quality matters more.
D: Avoiding integration with third-party tools# Integrations withSIEM, SOAR, EDR, and firewallsarecrucial for effective metrics.
#Additional Resources:
NIST Security Metrics Framework
Splunk


NEW QUESTION # 95
......

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