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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	データエンジニアリング：このセクションでは、セキュリティアナリストとサイバーセキュリティエンジニアのスキルを測定し、基本的なデータ管理タスクを網羅します。データのレビューと分析の実行、効率的なデータインデックスの作成と維持、そしてSplunkメソッドを用いたデータ正規化を適用し、セキュリティ運用において構造化され利用可能なデータセットを確保することが含まれます。
トピック 2	検知エンジニアリング：このセクションでは、セキュリティ検知の開発と改良における脅威ハンターとSOCエンジニアの専門知識を評価します。トピックには、相関検索の作成と調整、検知へのコンテキストデータの統合、リスクベースの修飾子の適用、実用的な重要イベントの生成、進化する脅威に適応するための検知ルールのライフサイクル管理などが含まれます。
トピック 3	自動化と効率性：このセクションでは、セキュリティ運用の効率化における自動化エンジニアとSOARスペシャリストの能力を評価します。SOP（標準運用手順）の自動化の開発、ケース管理ワークフローの最適化、REST APIの活用、レスポンス自動化のためのSOARプレイブックの設計、Splunk Enterprise SecurityとSOARツールの統合の評価などを網羅します。
トピック 4	セキュリティプログラムの監査と報告：このセクションでは、監査担当者とセキュリティアーキテクトがプログラムの有効性を検証し、伝達する能力をテストします。セキュリティ指標の設計、コンプライアンスレポートの作成、そして関係者向けにプログラムのパフォーマンスと脆弱性を視覚化するダッシュボードの構築などが含まれます。
トピック 5	効果的なセキュリティプロセスとプログラムの構築：このセクションは、セキュリティプログラムマネージャーとコンプライアンス担当者を対象とし、セキュリティワークフローの運用化に焦点を当てています。脅威インテリジェンスの調査と統合、リスクと検知の優先順位付け手法の適用、そして堅牢なセキュリティ対策を維持するためのドキュメントや標準運用手順（SOP）の作成が含まれます。

>> Splunk SPLK-5002資料的中率 <<

SPLK-5002資格取得 & SPLK-5002日本語受験攻略

SPLK-5002試験資格証明書を取得することは難しいです。でも、Splunk　SPLK-5002復習教材を選ばれば、試験に合格することは簡単です。SPLK-5002復習教材の内容は全面的で、価格は合理的です。そして、Splunkはお客様にディスカウントコードを提供でき、SPLK-5002復習教材をより安く購入できます。

Splunk Certified Cybersecurity Defense Engineer 認定 SPLK-5002 試験問題 (Q44-Q49):

質問 # 44
Which features are crucial for validating integrations in Splunk SOAR? (Choose three)

A. Verifying authentication methods
B. Evaluating automated action performance
C. Increasing indexer capacity
D. Testing API connectivity
E. Monitoring data ingestion rates

正解：A、B、D

解説：
Validating Integrations in Splunk SOAR
Splunk SOAR (Security Orchestration, Automation, and Response) integrates with various security tools to automate security workflows. Proper validation of integrations ensures that playbooks, threat intelligence feeds, and incident response actions function as expected.
#Key Features for Validating Integrations
1##Testing API Connectivity (A)
Ensures Splunk SOAR can communicate with external security tools (firewalls, EDR, SIEM, etc.).
Uses API testing tools like Postman or Splunk SOAR's built-in Test Connectivity feature.
2##Verifying Authentication Methods (C)
Confirms that integrations use the correct authentication type (OAuth, API Key, Username/Password, etc.).
Prevents failed automations due to expired or incorrect credentials.
3##Evaluating Automated Action Performance (D)
Monitors how well automated security actions (e.g., blocking IPs, isolating endpoints) perform.
Helps optimize playbook execution time and response accuracy.
#Incorrect Answers & Explanations
B: Monitoring data ingestion rates # Data ingestion is crucial for Splunk Enterprise, but not a core integration validation step for SOAR.
E: Increasing indexer capacity # This is related to Splunk Enterprise data indexing, not Splunk SOAR integration validation.
#Additional Resources:
Splunk SOAR Administration Guide
Splunk SOAR Playbook Validation
Splunk SOAR API Integrations

質問 # 45
When should a detection be reviewed or retuned after deployment?

A. As defined by the established detection lifecycle.
B. Every 30 days.
C. Only if it has generated a large amount of false positives.
D. Only if it hasn ' t generated a finding after several weeks.

正解：A

解説：
Detection review and tuning should occur according to the organization ' s established detection lifecycle , rather than only in response to a single symptom or an arbitrary universal interval.
A mature detection lifecycle defines how security content progresses through design, development, testing, deployment, validation, operational monitoring, and subsequent tuning or maintenance. Post-deployment review should consider multiple signals: false-positive volume, unexpected false negatives, changes in telemetry, new application behavior, data-model changes, threat-intelligence developments, ATT & CK coverage requirements, analyst feedback, and changes in the environment.
Option A imposes a fixed 30-day interval without considering the organization ' s lifecycle or risk requirements. A monthly review may be appropriate in a particular program, but it is not universally required.
Option B is too narrow because a detection may require tuning even when false positives are low-for example, if required fields disappear or attacker behavior changes. Option D is similarly incomplete because an absence of findings does not automatically prove that the detection is ineffective.
The supplied material explicitly tests the Detection Development Lifecycle (DDLC) and emphasizes structured detection development rather than ad hoc changes.
Study Guide topics: DDLC, detection validation, post-deployment tuning, lifecycle governance, false- positive management, detection maintenance.

質問 # 46
What is the main purpose of Splunk's Common Information Model (CIM)?

A. To normalize data for correlation and searches
B. To extract fields from raw events
C. To create accelerated reports
D. To compress data during indexing

正解：A

解説：
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

質問 # 47
Which stash event field created by an adaptive response action allows for troubleshooting the correlation search that created the notable event?

A. orig_sid
B. search_sid
C. orig_rid
D. search_rid

正解：B

解説：
The search_sid field in a stash event is created by an adaptive response action and points back to the search job ID of the correlation search that generated the notable. This allows analysts to troubleshoot by reviewing the exact search execution and results.

質問 # 48
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?

A. Excessive Authentication Failures
B. Excessive Network Failures
C. Excessive DNS Failures
D. Excessive Endpoint Failures

正解：C

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 # 49
......

最近の数年間で、IT領域の継続的な発展と成長に従って、SPLK-5002認証試験はもうSplunk試験のマイルストーンになりました。SplunkのSPLK-5002「Splunk Certified Cybersecurity Defense Engineer」の認証試験はあなたがIT分野のプロフェッショナルになることにヘルプを差し上げます。SplunkのSPLK-5002の試験問題を提供するウェブが何百ありますが、なぜ受験生は殆どJPTestKingを選んだのですか。それはJPTestKingにはIT領域のエリートたちが組み立てられた団体があります。その団体はSplunkのSPLK-5002の認証試験の最新の資料に専攻して、あなたが気楽にSplunkのSPLK-5002の認証試験に合格するためにがんばっています。JPTestKingは初めにSplunkのSPLK-5002の認証試験を受けるあなたが一回で成功することを保証します。JPTestKingはいつまでもあなたのそばにいて、あなたと一緒に苦楽を共にするのです。

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