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Splunk SPLK-1005 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Splunk Cloud Overview5%- Cloud topology and architecture
  • 1. Managed Cloud vs Self-Service Cloud distinctions
    • 2. Differences between Splunk Cloud and Splunk Enterprise
      Topic 2: Index Management5%- Index fundamentals
      • 1. Creating and managing indexes in Splunk Cloud
        • 2. Monitoring indexing activities and data lifecycle
          Topic 3: User Authentication and Authorization5%- User and role administration
          • 1. Role-Based Access Control (RBAC)
            • 2. LDAP/SAML integration concepts
              Topic 4: Search and Performance Optimization15%- Search infrastructure management
              • 1. Performance monitoring and queue management
                • 2. Search head cluster operations
                  Topic 5: Security and Compliance15%- Cloud security controls
                  • 1. Audit logging and compliance management
                    • 2. Encryption and data protection policies
                      Topic 6: Monitoring, Troubleshooting, and Support15%- Operational troubleshooting
                      • 1. Engaging Splunk support workflows
                        • 2. Health dashboards and system diagnostics
                          Topic 7: Data Ingestion and Inputs20%- Data onboarding and forwarding
                          • 1. Universal Forwarder / Heavy Forwarder configuration concepts
                            • 2. HTTP Event Collector (HEC) ingestion

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                              Splunk Cloud Certified Admin Sample Questions (Q65-Q70):

                              NEW QUESTION # 65
                              At what point in the indexing pipeline set is SEDCMD applied to data?

                              Answer: B

                              Explanation:
                              In Splunk, SEDCMD (Stream Editing Commands) is applied during the Typing Pipeline of the data indexing process.
                              The Typing Pipeline is responsible for various tasks, such as applying regular expressions for field extractions, replacements, and data transformation operations that occur after the initial parsing and aggregation steps.
                              Here's how the indexing process works in more detail:
                              Parsing Pipeline: In this stage, Splunk breaks incoming data into events, identifies timestamps, and assigns metadata.
                              Merging Pipeline: This stage is responsible for merging events and handling time-based operations.
                              Typing Pipeline: The Typing Pipeline is where SEDCMD operations occur. It applies regular expressions and replacements, which is essential for modifying raw data before indexing. This pipeline is also responsible for field extraction and other similar operations.
                              Index Pipeline: Finally, the processed data is indexed and stored, where it becomes available for searching.


                              NEW QUESTION # 66
                              Where does the regex replacement processor run?

                              Answer: B

                              Explanation:
                              The regex replacement processor is part of the parsing stage in Splunk's data ingestion pipeline.
                              This stage is responsible for handling data transformations, which include applying regex replacements. Parsing pipeline is the correct answer. The parsing pipeline is where initial data transformations, including regex replacement, occur before the data is indexed. This stage processes events as they are parsed from raw data, including applying any regex-based modifications.


                              NEW QUESTION # 67
                              A monitor has been created in inputs. con: for a directory that contains a mix of file types. How would a Cloud Admin fine-tune assigned sourcetypes for different files in the directory during the input phase?

                              Answer: B

                              Explanation:
                              When dealing with a directory containing a mix of file types, it's essential to fine-tune the sourcetypes for different files to ensure accurate data parsing and indexing. In this approach, the Universal Forwarder is set up with a directory monitor where the sourcetype is initially left as automatic. Then, a props.conf file is configured to specify different sourcetypes based on the source (filename or path).


                              NEW QUESTION # 68
                              What is the name of the configuration file where you can specify the source type for a data input?

                              Answer: B


                              NEW QUESTION # 69
                              Which configuration file contains the settings for event line breaking and line merging?

                              Answer: A


                              NEW QUESTION # 70
                              ......

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