SPLK-5002資格試験、SPLK-5002対応資料

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Splunk SPLK-5002 Exam Overview:

Certification Vendor:Splunk
Exam Name:Splunk Certified Cybersecurity Defense Engineer (CDE)
Exam Number:SPLK-5002
Exam Price:$130 USD
Exam Format:Multiple choice, Scenario-based multiple choice
Exam Duration:75 minutes
Available Languages:English
Related Certifications:Splunk Certified Cybersecurity Defense Analyst
Real Exam Qty:60
Passing Score:Not publicly disclosed (Pass/Fail)
Certificate Validity Period:Not publicly specified
Recommended Training:Splunk Enterprise Security Fundamentals
Splunk SOAR Automation Training
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

>> SPLK-5002資格試験 <<

SPLK-5002対応資料、SPLK-5002一発合格

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Splunk SPLK-5002 認定試験の出題範囲：

トピック出題範囲
トピック 1
  • 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.
トピック 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.
トピック 3
  • 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.
トピック 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.
トピック 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.

Splunk Certified Cybersecurity Defense Engineer 認定 SPLK-5002 試験問題 (Q105-Q110):

質問 # 105
The SOC notices over the course of an investigation there are numerous logs similar to the following:
UDP: query: reallybad.c2.com IN A response: SERVFAIL
What detection should be created to alert on this behavior for the future?

正解：D

解説：
The appropriate analytic is Excessive DNS Failures . The decisive evidence in the example is the DNS query followed by a SERVFAIL response. SERVFAIL is a DNS response condition indicating that the DNS server was unable to complete the requested resolution successfully. Repeated occurrences therefore represent DNS- resolution failures rather than authentication, endpoint, or generic network failures.
A detection engineer could aggregate these events across an appropriate time window and evaluate dimensions such as source host, queried domain, client, or response code. The objective is to distinguish ordinary occasional resolution failures from anomalous concentrations that warrant investigation.
The example is particularly security-relevant because the queried name resembles a command-and-control domain. However, the detection name requested by the question is driven by the observable pattern in the telemetry: repeated failed DNS resolutions. Such activity can result from misconfiguration, unavailable authoritative infrastructure, transient DNS problems, or suspicious software repeatedly attempting to resolve unavailable infrastructure. Analysts would use additional context to determine the actual cause.
None of the other options corresponds directly to the DNS SERVFAIL evidence shown in the event.
Study Guide topics: DNS telemetry, SERVFAIL, threshold-based detections, network security monitoring, DNS analytics, detection operationalization.


質問 # 106
A Detection Engineer works closely with SOC leads to define expected analyst workflow, often documented as a Standard Operating Procedure (SOP). Which capability can be used to document expected analyst actions in an investigation?

正解：D

解説：
Response templates are the appropriate capability for defining and standardizing expected analyst actions during an investigation. The central requirement in the question is not merely recording what happened; it is documenting the expected workflow that analysts should follow according to the SOC ' s Standard Operating Procedure.
A response template can structure repeatable investigation and response activities so that analysts receive consistent guidance for a defined class of security issue. This supports process maturity by reducing dependence on individual analyst memory and making response procedures more reproducible across shifts and experience levels.
The other choices serve different functions. The Correlation Search Editor is associated with detection configuration rather than documenting analyst workflow. Adaptive response actions define actions that can be triggered as part of detection and response processing, but they are not primarily the SOP documentation mechanism identified here. Investigation notes record information gathered during an investigation; they describe case-specific observations rather than establishing the standardized sequence analysts are expected to follow.
The question therefore separates three important concepts: detection logic, automated actions, and standardized human response. Response templates address the third category.
Study Guide topics: response templates, SOP development, analyst workflows, investigation standardization, security-process maturity.


質問 # 107
What can an engineer use to capture contextual values from a dashboard and create a drilldown to link to a new search?

正解：A

解説：
Splunk dashboards use tokens to capture and pass contextual values between dashboard elements, user interactions, and drilldown destinations. Therefore, tokens are the mechanism an engineer can use when a user selects a visualization element and the resulting value must be inserted into another search.
A token can represent contextual information derived from an interaction-for example, a selected host, username, source IP, destination, process, or time range. A drilldown can then use that value to construct a more focused search. Conceptually, a dashboard could capture a selected src value and pass it to a destination search so the analyst moves directly from an aggregate visualization to events associated with that source.
This design improves investigation efficiency because the analyst does not need to manually copy values from one interface into another search. It also preserves analytical context as the user moves from summary information to detailed evidence.
Aliases concern alternate representations of fields; environment variables are not the standard dashboard mechanism for passing selected visualization context; and JSON may define dashboard structures but is not itself the contextual-value mechanism being tested.
Study Guide topics: dashboard tokens, drilldowns, contextual searches, analyst workflow, dashboard interactivity, investigation efficiency.


質問 # 108
During a high-priority incident, a user queries an index but sees incomplete results.
Whatis the most likely issue?

正解：B

解説：
If a user queries an index during a high-priority incident but sees incomplete results, it is likely that the indexers are overloaded, causing queue bottlenecks.
Why Indexer Queue Capacity Issues Cause Incomplete Results:
When indexing queues fill up, incoming data cannot be processed efficiently.
Search results may be incomplete or delayed if events are still in the indexing queue and not fully written to disk.
Heavy search loads during incidents can also increase pressure on indexers.
How to Fix It:
Monitor indexing queues via the Monitoring Console (indexing>indexing performance).
Checkmetrics.logon indexers formax_queue_size_exceededwarnings.
Increase indexer capacity or optimize search scheduling to reduce load.


質問 # 109
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?

正解：B

解説：
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.


質問 # 110
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