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効果的な勤勉さが結果に正比例することは誰もが知っているので、長年の勤勉な作業によって、私たちの専門家は頻繁にテストされた知識をあなたの参考のためにSplunk Certified Cybersecurity Defense Engineer実践資料に集めました。 ですから、Splunk Certified Cybersecurity Defense Engineerトレーニング資料は彼らの努力の成果です。 Splunk Certified Cybersecurity Defense Engineerの実践教材に頼ることで、以前に想像していた以上の成果を絶対に得ることができます。 Splunk Certified Cybersecurity Defense Engineerの実際のSPLK-5002テストを選択した顧客から収集された明確なデータがあり、合格率は98〜100％です。 したがって、成功を収めるチャンスは、当社の資料によって大幅に向上します。
質問 # 56
While working with the SOC analysts to review current contextualization processes, a request for automation has been raised by the SOC team. They are asking for a new automation that will check a potentially malicious URL against a remote URL filtering list. Which of the following options will work for them?
正解：B
解説：
Both an Adaptive Response Action and an Input Playbook can support this contextualization requirement, so B is the best answer.
An Adaptive Response Action can be invoked from Enterprise Security when a detection or finding is generated. It can pass a URL or other observable into an integrated action that queries an external reputation, filtering, or analysis service. This works well when contextualization should occur automatically as part of the detection workflow.
An Input Playbook provides another valid implementation. It can receive a URL as structured input from Enterprise Security or Mission Control and then perform the remote lookup through a SOAR asset/API integration. The supplied guide specifically establishes that an Input playbook is the playbook type used when a workflow must be called directly from Mission Control or Enterprise Security. It also demonstrates URL contextualization through REST-based submission to an external analysis service.
Because both mechanisms can perform the requested external URL check, selecting only C or D is unnecessarily restrictive.
Study Guide topics: contextualization, Adaptive Response Actions, Input Playbooks, SOAR integrations, REST APIs, URL enrichment, automated analyst workflows.
質問 # 57
What is the primary purpose of data indexing in Splunk?
正解：D
解説：
Understanding Data Indexing in Splunk
In Splunk Enterprise Security (ES) and Splunk SOAR, data indexing is a fundamental process that enables efficient storage, retrieval, and searching of data.
Why is Data Indexing Important?
Stores raw machine data (logs, events, metrics) in a structured manner. Enables fast searching through optimized data storage techniques. Uses an indexer to process, compress, and store data efficiently.
Why the Correct Answer is B?
Splunk indexes data to store it efficiently while ensuring fast retrieval for searches, correlation searches, and analytics.
It assigns metadata to indexed events, allowing SOC analysts to quickly filter and search logs.
質問 # 58
What are key elements of a well-constructed notable event?(Choosethree)
正解：A、B、C
解説：
A notable event in Splunk Enterprise Security (ES) represents a significant security detection that requires investigation.
#Key Elements of a Good Notable Event:#Meaningful Descriptions (Answer A) Helps analysts understand the event at a glance.
Example: Instead of "Possible attack detected," use "Multiple failed admin logins from foreign IP address".
#Proper Categorization (Answer C)
Ensures events are classified correctly (e.g., Brute Force, Insider Threat, Malware Activity).
Example: A malicious file download alert should be categorized as "Malware Infection", not just "General Alert".
#Relevant Field Extractions (Answer D)
Ensures that critical details (IP, user, timestamp) are present for SOC analysis.
Example: If an alert reports failed logins, extracted fields should include username, source IP, and login method.
Why Not the Other Options?
#B. Minimal use of contextual data - More context helps SOC analysts investigate faster.
References & Learning Resources
#Building Effective Notable Events in Splunk ES: https://docs.splunk.com/Documentation/ES#SOC Best Practices for Security Alerts: https://splunkbase.splunk.com#How to Categorize Security Alerts Properly:
https://www.splunk.com/en_us/blog/security
質問 # 59
What is the purpose of leveraging REST APIs in a Splunk automation workflow?
正解：A
解説：
Splunk's REST API allows external applications and security tools to automate workflows, integrate with Splunk, and retrieve/search data programmatically.
#Why Use REST APIs in Splunk Automation?
Automates interactions between Splunk and other security tools.
Enables real-time data ingestion, enrichment, and response actions.
Used in Splunk SOAR playbooks for automated threat response.
Example:
A security event detected in Splunk ES triggers a Splunk SOAR playbook via REST API to:
Retrieve threat intelligence from VirusTotal.
Block the malicious IP in Palo Alto firewall.
Create an incident ticket in ServiceNow.
#Incorrect Answers:
A: To configure storage retention policies # Storage is managed via Splunk indexing, not REST APIs.
C: To compress data before indexing # Splunk does not use REST APIs for data compression.
D: To generate predefined reports # Reports are generated using Splunk's search and reporting functionality, not APIs.
#Additional Resources:
Splunk REST API Documentation
Automating Workflows with Splunk API
質問 # 60
When developing security metrics, why would a Key Performance Indicator (KPI) that focuses on total perimeter firewall blocks be an ineffective metric?
正解：B
解説：
A raw count of firewall blocks measures an output or result , not whether the security capability itself is performing effectively. Under the terminology used by the supplied course material, this makes the measurement a Key Result Indicator rather than a Key Performance Indicator .
For example, a perimeter firewall could block ten million connection attempts because the public-facing address space is being heavily scanned. A second firewall might block only one million. Those numbers alone do not establish that the first firewall is ten times more effective. External scanning volume, Internet exposure, business architecture, and traffic characteristics can change the count independently of firewall performance.
A useful KPI should instead measure performance against a defined operational objective-for example, response latency, policy deployment accuracy, control availability, processing performance, or another measurable objective tied to effectiveness. The total-block count can still provide useful operational context, but it should not automatically be interpreted as evidence that the firewall program is improving.
Option D captures precisely this distinction between activity/result volume and control performance .
Study Guide topics: security metrics, KPIs, result indicators, control effectiveness, SOC reporting, meaningful measurement.
質問 # 61
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SPLK-5002のSplunk試験問題の高い合格率は98％〜100％であるため、正確かつ最新のSPLK-5002試験トレントで市場に並ぶものがないと誇らしげに主張できます。 成功をもたらす当社の強みと、取得する意図のある認定を疑うことはありません。 SPLK-5002実践教材を使用して、候補者の勝利をますます証明しています。Topexam あなたは彼らのような勝者の一人になると信じています。 Splunk Certified Cybersecurity Defense EngineerのSPLK-5002学習教材を購入するだけで、より明るい未来を手にすることができます。
SPLK-5002最新日本語版参考書: https://www.topexam.jp/SPLK-5002_shiken.html
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