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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Certified Cybersecurity Defense Engineer (CDE) |
| Exam Number: | SPLK-5002 |
| Exam Price: | $130 USD |
| Related Certifications: | Splunk Certified Cybersecurity Defense Analyst |
| Real Exam Qty: | 60 |
| Available Languages: | English |
| Passing Score: | Not publicly disclosed (Pass/Fail) |
| Exam Format: | Scenario-based multiple choice, Multiple choice |
| Exam Duration: | 75 minutes |
| Certificate Validity Period: | Not publicly specified |
| Recommended Training: | Splunk SOAR Automation Training Splunk Enterprise Security Fundamentals |
| Exam Registration: | Pearson VUE Splunk Exams Official Splunk Certification Registration |
| Sample Questions: | Splunk SPLK-5002 Sample Questions |
| Exam Way: | Online proctored or test center (Pearson VUE) |
| Pre Condition: | No formal prerequisites required, but Splunk Certified Cybersecurity Defense Analyst knowledge is strongly recommended. |
| Official Syllabus URL: | https://www.splunk.com/en_us/training/certification-track/splunk-certified-cybersecurity-defense-engineer.html |
>> Splunk SPLK-5002 Valid Exam Notes <<
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NEW QUESTION # 27
Which report type is most suitable for monitoring the success of a phishing campaign detection program?
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 # 28
How does Mission Control decipher which response template to assign to findings?
Answer: B
Explanation:
In Mission Control, response templates are assigned to specific incident types. When a finding is generated and categorized under an incident type, the corresponding response template is automatically applied, ensuring consistency in investigation and response actions.
NEW QUESTION # 29
Which of the following macro values will exclude all of the company networks if it is called from the following search?
index=firewall sourcetype=pan\:traffic NOT " company_networks "
Answer: B
Explanation:
The macro should contain the positive definition of the company networks , because the calling SPL already applies NOT to the macro ' s result. Conceptually, the expanded search becomes:
index=firewall sourcetype=pan\:traffic
NOT (src_ip IN (151.157.30.0/24, 26.06.18.0/24))
This excludes events whose src_ip belongs to either specified company network. Therefore, option A supplies the correct macro body.
Option B already contains NOT; placing it behind the outer NOT would effectively reverse the intended exclusion. Options C and D also use AND between two mutually distinct network conditions. A single source IP cannot simultaneously belong to both independent /24 networks, so this does not correctly describe the desired set.
In normal SPL notation, a macro invocation is represented with backticks, such as `company_networks`. The underlying design principle remains that macros encapsulate reusable SPL fragments, a capability explicitly covered in the supplied material.
Study Guide topics: SPL macros, Boolean filtering, IN, CIDR/network filtering, reusable search logic, detection optimization.
NEW QUESTION # 30
When building detections using the Authentication Data Model, which values are recommended for use against the action field?
Answer: C
Explanation:
Within the CIM Authentication Data Model , the action field represents the outcome or state of an authentication operation. The recommended normalized values represented by the question are success, failure, pending, and error .
Normalization is critical because authentication technologies use highly variable native terminology. A Windows event may represent an authentication result through one event code, a VPN appliance through another vendor-specific status, and a cloud identity provider through a JSON result field. CIM maps those source-specific outcomes into common semantic values. A detection engineer can therefore write logic such as:
action= " failure "
without separately accounting for every vendor ' s native representation.
allowed and blocked are more naturally associated with access or network-control decisions and do not describe the normalized authentication outcome being tested. Likewise, denied does not replace the CIM- normalized failure value in the answer set.
Consistent use of the expected action vocabulary directly affects detection reliability. Incorrect mappings can cause failed authentications to disappear from CIM-based searches, dashboards, accelerated data-model queries, and threshold detections.
Study Guide topics: Authentication Data Model; CIM; action; normalized authentication outcomes; data mapping; cross-source detection engineering.
NEW QUESTION # 31
What is the main purpose of Splunk's Common Information Model (CIM)?
Answer: C
Explanation:
What is the Splunk Common Information Model (CIM)?
Splunk's Common Information Model (CIM) is a standardized way to normalize and map event data from different sources to a common field format. It helps with:
Consistent searches across diverse log sources
Faster correlation of security events
Better compatibility with prebuilt dashboards, alerts, and reports
Why is Data Normalization Important?
Security teams analyze data from firewalls, IDS/IPS, endpoint logs, authentication logs, and cloud logs.
These sources have different field names (e.g., "src_ip" vs. "source_address").
CIM ensures a standardized format, so correlation searches work seamlessly across different log sources.
How CIM Works in Splunk?
#Maps event fields to a standardized schema#Supports prebuilt Splunk apps like Enterprise Security (ES)
#Helps SOC teams quickly detect security threats
#Example Use Case:
A security analyst wants to detect failed admin logins across multiple authentication systems.
Without CIM, different logs might use:
user_login_failed
auth_failure
login_error
With CIM, all these fields map to the same normalized schema, enabling one unified search query.
Why Not the Other Options?
#A. Extract fields from raw events - CIM does not extract fields; it maps existing fields into a standardized format.#C. Compress data during indexing - CIM is about data normalization, not compression.#D. Create accelerated reports - While CIM supports acceleration, its main function is standardizing log formats.
References & Learning Resources
#Splunk CIM Documentation: https://docs.splunk.com/Documentation/CIM#How Splunk CIM Helps with Security Analytics: https://www.splunk.com/en_us/solutions/common-information-model.html#Splunk Enterprise Security & CIM Integration: https://splunkbase.splunk.com/app/263
NEW QUESTION # 32
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