SPLK-1005対応資料 & SPLK-1005問題無料

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Splunk SPLK-1005 Exam Syllabus Topics:

SectionWeightObjectives
Search and Performance Optimization15%- Search infrastructure management
  • 1. Search head cluster operations
    • 2. Performance monitoring and queue management
      Data Ingestion and Inputs20%- Data onboarding and forwarding
      • 1. HTTP Event Collector (HEC) ingestion
        • 2. Universal Forwarder / Heavy Forwarder configuration concepts
          Security and Compliance15%- Cloud security controls
          • 1. Encryption and data protection policies
            • 2. Audit logging and compliance management
              Splunk Cloud Overview5%- Cloud topology and architecture
              • 1. Managed Cloud vs Self-Service Cloud distinctions
                • 2. Differences between Splunk Cloud and Splunk Enterprise
                  User Authentication and Authorization5%- User and role administration
                  • 1. Role-Based Access Control (RBAC)
                    • 2. LDAP/SAML integration concepts
                      Monitoring, Troubleshooting, and Support15%- Operational troubleshooting
                      • 1. Health dashboards and system diagnostics
                        • 2. Engaging Splunk support workflows
                          Index Management5%- Index fundamentals
                          • 1. Creating and managing indexes in Splunk Cloud
                            • 2. Monitoring indexing activities and data lifecycle

                              >> SPLK-1005対応資料 <<

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                              Splunk Cloud Certified Admin 認定 SPLK-1005 試験問題 (Q13-Q18):

                              質問 # 13
                              Which command can be used to add a data input using the CLI?

                              正解：D


                              質問 # 14
                              When using Splunk Universal Forwarders, which of the following is true?

                              正解：C

                              解説：
                              Universal Forwarders can connect directly to Splunk Cloud, and there is no limit on the number of Universal Forwarders that may connect directly to it. This capability allows organizations to scale their data ingestion easily by deploying as many Universal Forwarders as needed without the requirement for intermediate forwarders unless additional data processing, filtering, or load balancing is required.
                              Splunk Documentation Reference: Forwarding Data to Splunk Cloud


                              質問 # 15
                              The following Apache access log is being ingested into Splunk via a monitor input:

                              How does Splunk determine the time zone for this event?

                              正解：A

                              解説：
                              In Splunk, when ingesting logs such as an Apache access log, the time zone for each event is typically determined by the time zone indicator present in the raw event data itself. In the log snippet you provided, the time zone is indicated by -0400, which specifies that the event's timestamp is 4 hours behind UTC (Coordinated Universal Time).
                              Splunk uses this information directly from the event to properly parse the timestamp and apply the correct time zone. This ensures that the event's time is accurately reflected regardless of the time zone in which the Splunk instance or forwarder is located.
                              Splunk Cloud Reference: For further details, you can review Splunk documentation on timestamp recognition and time zone handling, especially in relation to log files and data ingestion configurations.
                              Source:
                              * Splunk Docs: How Splunk software handles timestamps
                              * Splunk Docs: Configure event timestamp recognition


                              質問 # 16
                              Which Splunk Cloud feature commonly supports application-based ingestion using authenticated REST communication methods?

                              正解：A

                              解説：
                              HTTP Event Collector supports token-based authentication and receives structured application events directly through REST APIs. It is widely used for cloud-native logging integrations and JSON payload ingestion without requiring traditional forwarder installations locally.


                              質問 # 17
                              What two files are used in the data transformation process?

                              正解：B

                              解説：
                              Explanation: props.conf and transforms.conf define data parsing, transformations, and routing rules, making them essential for data transformations. [Reference: Splunk Docs on props.conf and transforms.conf]


                              質問 # 18
                              ......

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