SPLK-5002 New Practice Questions - SPLK-5002 Latest Braindumps Sheet

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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	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 3	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 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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SPLK-5002 Training Materials: Splunk Certified Cybersecurity Defense Engineer & SPLK-5002 Practice Test

The top personal and professional Splunk SPLK-5002 certification exam benefits are recognition of skills, updated knowledge, more career opportunities, instant promotion, and increase in salary, etc. If your answer is yes first of all you have to enroll in the Splunk Certified Cybersecurity Defense Engineer (SPLK-5002) certification exam and put all your efforts to pass this career advancement certification exam. Are you looking for the right and recommended way to pass the Splunk SPLK-5002 exam?

Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q44-Q49):

NEW QUESTION # 44
When should a detection be reviewed or retuned after deployment?

A. As defined by the established detection lifecycle.
B. Every 30 days.
C. Only if it hasn ' t generated a finding after several weeks.
D. Only if it has generated a large amount of false positives.

Answer: A

Explanation:
Detection review and tuning should occur according to the organization ' s established detection lifecycle , rather than only in response to a single symptom or an arbitrary universal interval.
A mature detection lifecycle defines how security content progresses through design, development, testing, deployment, validation, operational monitoring, and subsequent tuning or maintenance. Post-deployment review should consider multiple signals: false-positive volume, unexpected false negatives, changes in telemetry, new application behavior, data-model changes, threat-intelligence developments, ATT & CK coverage requirements, analyst feedback, and changes in the environment.
Option A imposes a fixed 30-day interval without considering the organization ' s lifecycle or risk requirements. A monthly review may be appropriate in a particular program, but it is not universally required.
Option B is too narrow because a detection may require tuning even when false positives are low-for example, if required fields disappear or attacker behavior changes. Option D is similarly incomplete because an absence of findings does not automatically prove that the detection is ineffective.
The supplied material explicitly tests the Detection Development Lifecycle (DDLC) and emphasizes structured detection development rather than ad hoc changes.
Study Guide topics: DDLC, detection validation, post-deployment tuning, lifecycle governance, false- positive management, detection maintenance.

NEW QUESTION # 45
What is Enterprise Security ' s default way of determining the urgency of a finding (notable event)?

A. Take into account the priority assigned to the asset/identity as well as the severity value assigned to the finding.
B. Add risk scores for associated objects within a network.
C. Leverage the scheduling priority of the detection to know what ' s most critical.
D. Multiply the risk score of a detection by how many times it has run.

Answer: A

Explanation:
Enterprise Security determines notable-event urgency by combining the severity associated with the finding with the priority of the affected asset or identity . This produces a more context-aware prioritization model than simply treating every detection result with the same severity as equally important.
For example, identical suspicious behavior occurring on an ordinary workstation and on a critical production server may warrant different analyst priorities. Asset and identity enrichment supplies organizational context, while the detection contributes the severity of the observed security condition. Enterprise Security uses those dimensions to derive urgency so analysts can focus first on events with the greatest operational importance.
Option A incorrectly mixes detection execution frequency with risk scoring. Scheduling priority in B controls search execution considerations rather than analyst-facing notable urgency. Option C describes risk accumulation concepts but is not the default notable-event urgency calculation.
The supplied study material reinforces this architecture through its questions on asset priority , Assets & Identities enrichment, critical-asset prioritization, and Enterprise Security risk handling.
Study Guide topics: notable urgency, severity, asset priority, identity priority, Assets & Identities Framework, finding prioritization.

NEW QUESTION # 46
What methods improve the efficiency of Splunk's automation capabilities? (Choose three)

A. Using modular inputs
B. Optimizing correlation search queries
C. Employing prebuilt SOAR playbooks
D. Leveraging saved search acceleration
E. Implementing low-latency indexing

Answer: A,B,C

Explanation:
How to Improve Splunk's Automation Efficiency?
Splunk's automation capabilities rely on efficient data ingestion, optimized searches, and automated response workflows. The following methods help improve Splunk's automation:
#1. Using Modular Inputs (Answer A)
Modular inputs allow Splunk to ingest third-party data efficiently (e.g., APIs, cloud services, or security tools).
Benefit: Improves automation by enabling real-time data collection for security workflows.
Example: Using a modular input to ingest threat intelligence feeds and trigger automatic responses.
#2. Optimizing Correlation Search Queries (Answer B)
Well-optimized correlation searches reduce query time and false positives.
Benefit: Faster detections # Triggers automated actions in SOAR with minimal delay.
Example: Usingtstatsinstead of raw searches for efficient event detection.
#3. Employing Prebuilt SOAR Playbooks (Answer E)
SOAR playbooks automate security responses based on predefined workflows.
Benefit: Reduces manual effort in phishing response, malware containment, etc.
Example: Automating phishing email analysis using a SOAR playbook that extracts attachments, checks URLs, and blocks malicious senders.
Why Not the Other Options?
#C. Leveraging saved search acceleration - Helps with dashboard performance, but doesn't directly improve automation.#D. Implementing low-latency indexing - Reduces indexing lag but is not a core automation feature.
References & Learning Resources
#Splunk SOAR Automation Guide: https://docs.splunk.com/Documentation/SOAR#Optimizing Correlation Searches in Splunk ES: https://docs.splunk.com/Documentation/ES#Prebuilt SOAR Playbooks for Security Automation: https://splunkbase.splunk.com

NEW QUESTION # 47
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?

A. Create a SOAR playbook to assign risk modifiers for events matching the activity.
B. Create a correlation search to produce notable events for the activity.
C. Create a risk modifier for events matching the activity.
D. Create a SOAR playbook to identify events matching the activity and assign an urgency.

Answer: B

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 # 48
What feature allows you to extract additional fields from events at search time?

A. Index-time field extraction
B. Data modeling
C. Search-time field extraction
D. Event parsing

Answer: C

Explanation:
Splunk allows dynamic field extraction to enhance data analysis without modifying raw indexed data.
Search-Time Field Extraction:
Extracts fields on-demand when running searches.
Uses Splunk's Field Extraction Engine (rex,spath, or automatic field discovery).
Minimizes indexing overhead by keeping the raw data unchanged.

NEW QUESTION # 49
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