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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Certified Cybersecurity Defense Engineer Exam |
| Exam Number: | SPLK-5002 |
| Available Languages: | English |
| Exam Duration: | 75 minutes |
| Related Certifications: | Splunk Core Certified Power User Splunk Certified Cybersecurity Defense Analyst |
| Passing Score: | 700 / 1000 |
| Exam Price: | $130 USD |
| Real Exam Qty: | 60 |
| Exam Format: | Multiple choice, Multiple response |
| Certificate Validity Period: | 3 years |
| Recommended Training: | Splunk Training & Certification |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: | Splunk SPLK-5002 Sample Questions |
| Exam Way: | Online proctored or onsite testing center via Pearson VUE |
| Pre Condition: | Recommended: Splunk Certified Cybersecurity Defense Analyst, or equivalent experience; Splunk Core Certified Power User knowledge |
| Official Syllabus URL: | https://www.splunk.com/en_us/training/certification/splk-5002-cybersecurity-defense-engineer.html |
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NEW QUESTION # 96
Which Splunk feature helps in tracking and documenting threat trends over time?
Answer: A
Explanation:
Why Use Risk-Based Dashboards for Tracking Threat Trends?
Risk-based dashboards in Splunk Enterprise Security (ES) provide a structured way to track threats over time.
#How Risk-Based Dashboards Help:#Aggregate security events into risk scores # Helps prioritize high-risk activities.#Show historical trends of threat activity.#Correlate multiple risk factors across different security events.
#Example in Splunk ES:#Scenario: A SOC team tracks insider threat activity over 6 months.#The Risk-Based Dashboard shows:
Users with rising risk scores over time.
Patterns of malicious behavior (e.g., repeated failed logins + data exfiltration).
Correlation between different security alerts (e.g., phishing clicks # malware execution).
Why Not the Other Options?
#A. Event sampling - Helps with performance optimization, not threat trend tracking.#C. Summary indexing
- Stores precomputed data but is not designed for tracking risk trends.#D. Data model acceleration - Improves search speed, but doesn't track security trends.
References & Learning Resources
#Splunk ES Risk-Based Alerting Guide: https://docs.splunk.com/Documentation/ES#Tracking Security Trends Using Risk-Based Dashboards: https://splunkbase.splunk.com#How to Build Risk-Based Analytics in Splunk: https://www.splunk.com/en_us/blog/security
NEW QUESTION # 97
In Enterprise Security, what is the name of the threat intelligence lookup pertaining to files?
Answer: C
Explanation:
The Enterprise Security threat-intelligence lookup associated with file-based intelligence is file_intel .
Splunk Enterprise Security organizes threat-intelligence indicators according to observable type. This allows the Threat Intelligence Framework to normalize and match compatible indicators against event telemetry. File- oriented intelligence can contain characteristics such as file hashes, file names, or other file-related observables used to identify known malicious artifacts.
The naming convention is important. file_hash describes a type of file indicator but is not the threat- intelligence lookup name requested by the question. user_intel and user_hash concern user-oriented naming and do not correspond to the file intelligence collection.
The supplied study material demonstrates the same Threat Intelligence Framework design by asking which intelligence KV store contains malicious FQDNs, reinforcing that ES separates intelligence into purpose- specific collections such as service_intel. The exact file_intel question is not shown verbatim in the uploaded
60-question set, but the collection naming and threat-intelligence architecture are consistent with the framework tested there.
Study Guide topics: Threat Intelligence Framework, file_intel, file indicators, IOC normalization, threat matching, KV Store intelligence collections.
NEW QUESTION # 98
MITRE D3FEND is designed to compliment MITRE ' s list of adversarial tactics, techniques, and common knowledge (ATT & CK). Which tactics are associated with MITRE D3FEND in order to detect, deny, and disrupt adversarial efforts?
Answer: A
Explanation:
The defensive tactic categories represented by MITRE D3FEND in this course context are Harden, Detect, Isolate, Deceive, and Evict .
Harden focuses on increasing resistance to adversary techniques through defensive configuration and protection. Detect encompasses techniques intended to identify malicious activity or artifacts. Isolate limits adversary access or interaction with protected resources. Deceive deliberately manipulates an adversary ' s perception of the environment, often using decoys or deceptive information. Evict concerns removing adversarial presence and associated persistence from the defended environment.
D3FEND complements ATT & CK because the two frameworks address opposite sides of the defensive problem. ATT & CK catalogs observable adversary behaviors and techniques, while D3FEND provides structured defensive knowledge that can be associated with those behaviors. Detection engineers can therefore use ATT & CK to understand what an adversary may do and D3FEND to reason about defensive countermeasures.
The supplied Cybersecurity Defense Engineer material directly includes this D3FEND tactic-set question.
Study Guide topics: MITRE D3FEND, MITRE ATT & CK, defensive countermeasures, threat-informed defense, detection strategy.
NEW QUESTION # 99
A SOC ' s Incident Response Standard Operating Procedure (SOP) calls for any phishing emails containing files to be detonated in Splunk Attack Analyzer for evaluation. Which of the following can an engineer implement to gain efficiency through automation?
Answer: C
Explanation:
The most efficient implementation is to use a Splunk SOAR playbook to perform the repetitive submission and collection operations involving Splunk Attack Analyzer. The playbook can take the relevant phishing artifact, submit it for analysis, collect the resulting verdict and associated evidence, and make that information available to the analyst responsible for the finding.
This represents an appropriate automation boundary. File submission, API interaction, status polling, result retrieval, and evidence attachment are deterministic operations that do not generally require human judgment.
Automating them reduces analyst handling time and improves process consistency while preserving human review for interpretation and disposition.
Automatic assignment or email notification may improve workflow routing, but neither actually performs the detonation process required by the SOP. Option D introduces PhishTank as an intermediary even though the requirement specifically identifies Splunk Attack Analyzer and does not establish PhishTank as the mechanism responsible for executing that analysis.
The course scenario therefore demonstrates a central SOAR design principle: automate repetitive data movement and enrichment while presenting the resulting context to the analyst for decision-making.
Study Guide topics: Splunk SOAR playbooks, Attack Analyzer, phishing response, automated enrichment, artifact detonation, analyst efficiency.
NEW QUESTION # 100
There are multiple methods for communicating data with a REST endpoint. In the URL shown, what is the name of the key-value pairs represented after the question mark in the URL?
Answer: A
Explanation:
The key-value pairs appearing after the ? character in a URL are parameters , more specifically query parameters . The example structure shown in the supplied material follows the standard pattern:
?type=hash & data= < value >
Here, type=hash and data= < value > are query parameters. The question mark marks the beginning of the URL ' s query component, while an ampersand ( & ) separates multiple parameter pairs. Each parameter typically consists of a key followed by = and its corresponding value.
This must be distinguished from an HTTP payload , which is normally transmitted in the request body, particularly with operations such as POST or PUT. Headers are separate HTTP metadata elements containing information such as authorization credentials, content type, accepted response formats, and user-agent information. "KV Elements" is not the HTTP/REST terminology for the URL query component.
Understanding this distinction is important when configuring SOAR integrations because an API may require values in different locations. Supplying a required query parameter in the request body-or vice versa-can result in validation failures even when the correct data is present.
Study Guide topics: REST APIs; query parameters; HTTP requests; SOAR integrations; URL structure; API troubleshooting.
NEW QUESTION # 101
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