Splunk New SPLK-5001 Exam Prep - Realistic Reliable Splunk Certified Cybersecurity Defense Analyst Exam Tutorial 100% Pass Quiz

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Splunk SPLK-5001 Exam Syllabus Topics:

Section	Objectives
Security Operations and SOC Fundamentals	- Cybersecurity landscape and threat detection concepts - SOC workflows and incident investigation using Splunk
Threat Intelligence and Response	- MITRE ATT&CK framework application - Incident response and mitigation strategies
Data Analysis and Investigation	- Event investigation and log analysis - Search Processing Language (SPL) basics for investigations
Splunk Enterprise Security Fundamentals	- Risk-based alerting and threat analysis - Notable events and correlation searches

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Splunk Certified Cybersecurity Defense Analyst Sample Questions (Q16-Q21):

NEW QUESTION # 16
Upon investigating a report of a web server becoming unavailable, the security analyst finds that the web server's access log has the same log entry millions of times:
147.186.119.200 - - [28/Jul/2023:12:04:13 -0300] "GET /login/ HTTP/1.0" 200 3733 What kind of attack is occurring?

A. Database Injection Attack
B. Distributed Denial of Service Attack
C. Denial of Service Attack
D. Cross-Site Scripting Attack

Answer: B

NEW QUESTION # 17
Which of the TTP elements represent the adversary's goal - the reason for performing an action?

A. Technique
B. Tactic
C. Procedure
D. Purpose

Answer: B

Explanation:
In the MITRE ATT&CK framework, a tactic defines the adversary's objective or goal-essentially the "why" behind their actions. Tactics categorize techniques by the adversary's intent, such as gaining initial access or exfiltrating data.

NEW QUESTION # 18
Which SPL syntax would be used to perform statistical queries on indexed fields to calculate the cumulative total risk by the system or user in the most efficient way?

A. risk_score from datamodel=Risk.All_Risk by All_Risk.risk_object
B. index=risk |stats sum(risk_score) as risk_score count by risk_object
C. index=* |stats sum(risk_score) as risk_score count by risk_object
D. | from datamodel:"Risk"."All Risk" | table risk_score risk_object
E. | tstats 'summariesonly' sum(All_Risk.calculated_risk_score) as

Answer: E

Explanation:
Using tstats with the summariesonly flag against the Risk data model leverages Splunk's accelerated data model summaries to compute the cumulative risk score by object entirely from tsidx summaries, making it far more efficient than raw-event searches.

NEW QUESTION # 19
While investigating a finding in Splunk, an analyst manually searches for threat intelligence matches and adds them to a list if they come back as malicious. Then, they send a request to contain the compromised host.
What would be the best solution to fully automate this process?

A. A SOAR playbook triggered by the detection.
B. A model-assisted threat hunt.
C. An intelligence response action.
D. Document those steps in the team's runbook.

Answer: A

Explanation:
A Splunk SOAR playbook can ingest the notable event, automatically query threat_intel, update lists for malicious indicators, and execute containment actions on the affected host - all in one end_to_end, fully automated workflow.

NEW QUESTION # 20
Which of the following is a best practice for searching in Splunk?

A. Limit fields returned from the search utilizing the cable command.
B. Raw word searches should contain multiple wildcards to ensure all edge cases are covered.
C. Searching over All Time ensures that all relevant data is returned.
D. Streaming commands run before aggregating commands in the Search pipeline.

Answer: A

NEW QUESTION # 21
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