Hot SPLK-5002 Detail Explanation 100% Pass | Latest Trustworthy SPLK-5002 Dumps: Splunk Certified Cybersecurity Defense Engineer

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Splunk SPLK-5002 Exam Syllabus Topics:

Topic	Details
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.
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.
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	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 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.

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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q42-Q47):

NEW QUESTION # 42
What is the role of event timestamping during Splunk's data indexing?

A. Assigning data to a specific source type
B. Synchronizing event data with system time
C. Ensuring events are organized chronologically
D. Tagging events for correlation searches

Answer: C

Explanation:
Why is Event Timestamping Important in Splunk?
Event timestamps helpmaintain the correct sequence of logs, ensuring that data isaccurately analyzed and correlated over time.
#Why "Ensuring Events Are Organized Chronologically" is the Best Answer?(AnswerD)#Prevents event misalignment- Ensures logs appear in the correct order.#Enables accurate correlation searches- Helps SOC analyststrace attack timelines.#Improves incident investigation accuracy- Ensures that event sequences are correctly reconstructed.
#Example in Splunk:#Scenario:A security analyst investigates abrute-force attackacross multiple logs.
#Without correct timestamps, login failures might appearout of order, making analysis difficult.#With proper event timestamping, logsline up correctly, allowing SOC analysts to detect theexact attack timeline.
Why Not the Other Options?
#A. Assigning data to a specific sourcetype- Sourcetypes classify logs butdon't affect timestamps.#B.
Tagging events for correlation searches- Correlation uses timestamps buttimestamping itself isn't about tagging.#C. Synchronizing event data with system time- System time matters, butevent timestamping is about chronological ordering.
References & Learning Resources
#Splunk Event Timestamping Guide: https://docs.splunk.com/Documentation/Splunk/latest/Data
/HowSplunkextractstimestamps#Best Practices for Log Time Management in Splunk: https://www.splunk.com
/en_us/blog/tips-and-tricks#SOC Investigations & Log Timestamping: https://splunkbase.splunk.com

NEW QUESTION # 43
What is the primary purpose of correlation searches in Splunk?

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

Answer: C

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 # 44
Which Splunk feature helps to standardize data for better search accuracy and detection logic?

A. Field Extraction
B. Data Models
C. Normalization Rules
D. Event Correlation

Answer: B

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 # 45
What Splunk process ensures that duplicate data is not indexed?

A. Event parsing
B. Indexer clustering
C. Data deduplication
D. Metadata tagging

Answer: A

Explanation:
Splunk prevents duplicate data from being indexed through event parsing, which occurs during the data ingestion process.
How Event Parsing Prevents Duplicate Data:
Splunk's indexer parses incoming data and assigns unique timestamps, metadata, and event IDs to prevent reindexing duplicate logs.
CRC Checks (Cyclic Redundancy Checks) are applied to avoid duplicate event ingestion.
Index-time filtering and transformation rules help detect and drop repeated data before indexing.

NEW QUESTION # 46
An engineer observes a high volume of false positives generated by a correlation search.
Whatsteps should they take to reduce noise without missing critical detections?

A. Limit the search to a single index.
B. Add suppression rules and refine thresholds.
C. Disable the correlation search temporarily.
D. Increase the frequency of the correlation search.

Answer: B

Explanation:
How to Reduce False Positives in Correlation Searches?
High false positives can overwhelm SOC teams, causing alert fatigue and missed real threats. The best solution is to fine-tune suppression rules and refine thresholds.
#How Suppression Rules & Threshold Tuning Help:#Suppression Rules: Prevent repeated false positives from low-risk recurring events (e.g., normal system scans).#Threshold Refinement: Adjust sensitivity to focus on true threats (e.g., changing a login failure alert from 3 to 10 failed attempts).
#Example in Splunk ES:#Scenario: A correlation search generates too many alerts for failed logins.#Fix: SOC analysts refine detection thresholds:
Suppress alerts if failed logins occur within a short timeframe but are followed by a successful login.
Only trigger an alert if failed logins exceed 10 attempts within 5 minutes.
Why Not the Other Options?
#A. Increase the frequency of the correlation search - Increases search load without reducing false positives.
#C. Disable the correlation search temporarily - Leads to blind spots in detection.#D. Limit the search to a single index - May exclude critical security logs from detection.
References & Learning Resources
#Splunk ES Correlation Search Optimization Guide: https://docs.splunk.com/Documentation/ES#Reducing False Positives in SOC Workflows: https://splunkbase.splunk.com#Fine-Tuning Security Alerts in Splunk:
https://www.splunk.com/en_us/blog/security

NEW QUESTION # 47
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HOT SPLK-5002 DETAIL EXPLANATION 100% PASS | LATEST TRUSTWORTHY SPLK-5002 DUMPS: SPLUNK CERTIFIED CYBERSECURITY DEFENSE ENGINEER

Hot SPLK-5002 Detail Explanation 100% Pass | Latest Trustworthy SPLK-5002 Dumps: Splunk Certified Cybersecurity Defense Engineer