Certification SPLK-5002 Training - Guaranteed SPLK-5002 Questions Answers

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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	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 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.
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 (Q17-Q22):

NEW QUESTION # 17
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 enhance data retention policies
C. To automate case management workflows
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 # 18
Which report type is most suitable for monitoring the success of a phishing campaign detection program?

A. Real-time notable event dashboards
B. Weekly incident trend reports
C. SLA compliance reports
D. Risk score-based summary reports

Answer: A

Explanation:
Why Use Real-Time Notable Event Dashboards for Phishing Detection?
Phishing campaigns require real-time monitoring to detect threats as they emerge and respond quickly.
#Why "Real-Time Notable Event Dashboards" is the Best Choice? (Answer B)#Shows live security alerts for phishing detections.#Enables SOC analysts to take immediate action (e.g., blocking malicious domains, disabling compromised accounts).#Uses correlation searches in Splunk Enterprise Security (ES) to detect phishing indicators.
#Example in Splunk:#Scenario: A company runs a phishing awareness campaign.#Real-time dashboards track:
How many employees clicked on phishing links.
How many users reported phishing emails.
Any suspicious activity (e.g., account takeovers).
Why Not the Other Options?
#A. Weekly incident trend reports - Helpful for analysis but not fast enough for phishing detection.#C. Risk score-based summary reports - Risk scores are useful but not designed for real-time phishing detection.#D.
SLA compliance reports - SLA reports measure performance but don't help actively detect phishing attacks.
References & Learning Resources
#Splunk ES Notable Events & Phishing Detection: https://docs.splunk.com/Documentation/ES#Real-Time Security Monitoring with Splunk: https://splunkbase.splunk.com#SOC Dashboards for Phishing Campaigns:
https://www.splunk.com/en_us/blog/tips-and-tricks

NEW QUESTION # 19
Which of the following actions improve data indexing performance in Splunk?(Choosetwo)

A. Indexing data with detailed metadata
B. Using lightweight forwarders for data ingestion
C. Configuring index time field extractions
D. Increasing the number of indexers in a distributed environment

Answer: C,D

Explanation:
How to Improve Data Indexing Performance in Splunk?
Optimizing indexing performance is critical for ensuring faster search speeds, better storage efficiency, and reduced latency in a Splunk deployment.
#Why is "Configuring Index-Time Field Extractions" Important? (Answer B) Extracting fields at index time reduces the need for search-time processing, making searches faster.
Example: If security logs contain IP addresses, usernames, or error codes, configuring index-time extraction ensures that these fields are already available during searches.
#Why "Increasing the Number of Indexers in a Distributed Environment" Helps? (Answer D) Adding more indexers distributes the data load, improving overall indexing speed and search performance.
Example: In a large SOC environment, more indexers allow for faster log ingestion from multiple sources (firewalls, IDS, cloud services).
Why Not the Other Options?
#A. Indexing data with detailed metadata - Adding too much metadata increases indexing overhead and slows down performance.#C. Using lightweight forwarders for data ingestion - Lightweight forwarders only forward raw data and don't enhance indexing performance.
References & Learning Resources
#Splunk Indexing Performance Guide: https://docs.splunk.com/Documentation/Splunk/latest/Indexer
/Howindexingworks#Best Practices for Splunk Indexing Optimization: https://splunkbase.splunk.
com#Distributed Splunk Architecture for Large-Scale Environments: https://www.splunk.com/en_us/blog
/tips-and-tricks

NEW QUESTION # 20
A company wants to implement risk-based detection for privileged account activities.
Whatshould they configure first?

A. Event sampling for raw data
B. Asset and identity information for privileged accounts
C. Automated dashboards for all accounts
D. Correlation searches with low thresholds

Answer: B

Explanation:
Why Configure Asset & Identity Information for Privileged Accounts First?
Risk-based detection focuses on identifying and prioritizing threats based on the severity of their impact. For privileged accounts (admins, domain controllers, finance users), understanding who they are, what they access, and how they behave is critical.
#Key Steps for Risk-Based Detection in Splunk ES:1##Define Privileged Accounts & Groups - Identify high- risk users (Admin, HR, Finance, CISO).2##Assign Risk Scores - Apply higher scores to actions involving privileged users.3##Enable Identity & Asset Correlation - Link users to assets for better detection.
4##Monitor for Anomalies - Detect abnormal login patterns, excessive file access, or unusual privilege escalation.
#Example in Splunk ES:
A domain admin logs in from an unusual location # Trigger high-risk alert A finance director downloads sensitive payroll data at midnight # Escalate for investigation Why Not the Other Options?
#B. Correlation searches with low thresholds - May generate excessive false positives, overwhelming the SOC.#C. Event sampling for raw data - Doesn't provide context for risk-based detection.#D. Automated dashboards for all accounts - Useful for visibility, but not the first step for risk-based security.
References & Learning Resources
#Splunk ES Risk-Based Alerting (RBA): https://www.splunk.com/en_us/blog/security/risk-based-alerting.
html#Privileged Account Monitoring in Splunk: https://docs.splunk.com/Documentation/ES/latest/User
/RiskBasedAlerting#Implementing Privileged Access Security (PAM) with Splunk: https://splunkbase.splunk.
com

NEW QUESTION # 21
What is the primary purpose of correlation searches in Splunk?

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

Answer: B

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 # 22
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Certification SPLK-5002 Training - Guaranteed SPLK-5002 Questions Answers

Splunk SPLK-5002 Exam Syllabus Topics:

Guaranteed SPLK-5002 Questions Answers | Accurate SPLK-5002 Test

Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q17-Q22):

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