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Splunk SPLK-1003 Exam Syllabus Topics:

SectionWeightObjectives
Search and Knowledge Objects- Knowledge object management
  • 1. Reports and alerts
    • 2. Field extractions and lookups basics
      Splunk Admin Basics5%- Splunk architecture fundamentals
      • 1. Splunk components overview (indexers, search heads, forwarders)
        • 2. Basic system roles and responsibilities
          License Management5%- License types and enforcement
          • 1. License violations and monitoring
            • 2. License usage tracking
              Monitoring and Maintenance- Operational administration
              • 1. System health and performance troubleshooting
                • 2. Monitoring Console usage
                  Data Inputs and Indexing10%- Data ingestion and indexing
                  • 1. Data input configuration and troubleshooting
                    • 2. Index structure and bucket lifecycle
                      Splunk Configuration Files5%- Configuration management
                      • 1. Using btool for configuration inspection
                        • 2. Configuration directory structure
                          • 3. Configuration layering and precedence
                            Users, Roles, and Security- Authentication and authorization
                            • 1. Access control and permissions
                              • 2. User roles and capabilities

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                                Splunk Enterprise Certified Admin Sample Questions (Q101-Q106):

                                NEW QUESTION # 101
                                Which data pipeline phase is the last opportunity for defining event boundaries?

                                Answer: A

                                Explanation:
                                Reference https://docs.splunk.com/Documentation/Splunk/8.2.3/Admin
                                /Configurationparametersandthedatapipeline
                                The parsing phase is the process of extracting fields and values from raw data. The parsing phase respects LINE_BREAKER, SHOULD_LINEMERGE, BREAK_ONLY_BEFORE_DATE, and all other line merging settings in props.conf. These settings determine how Splunk breaks the data into events based on certain criteria, such as timestamps or regular expressions. The event boundaries are defined by the props.conf file, which can be modified by the administrator. Therefore, the parsing phase is the last opportunity for defining event boundaries.


                                NEW QUESTION # 102
                                When configuring optional settings for network inputs, what formats are available when using the acceptFromoption?

                                Answer: C

                                Explanation:
                                The acceptFrom option supports single IPv4 or IPv6 addresses, CIDR blocks for network ranges, DNS hostnames, and wildcard patterns using * for any match and ! for exclusion, allowing flexible and precise source filtering for network inputs.


                                NEW QUESTION # 103
                                A Universal Forwarder is collecting two separate sources of data (A,B). Source A is being routed through a Heavy Forwarder and then to an indexer. Source B is being routed directly to the indexer. Both sets of data require the masking of raw text strings before being written to disk. What does the administrator need to do to ensure that the masking takes place successfully?

                                Answer: B

                                Explanation:
                                The correct answer is D. Place both props . conf and transforms . conf on the Heavy Forwarder for source A, and place both props . conf and transforms . conf on the indexer for source B.
                                According to the Splunk documentation1, to mask sensitive data from raw events, you need to use the SEDCMD attribute in the props.conf file and the REGEX attribute in the transforms.conf file. The SEDCMD attribute applies a sed expression to the raw data before indexing, while the REGEX attribute defines a regular expression to match the data to be masked. You need to place these files on the Splunk instance that parses the data, which is usually the indexer or the heavy forwarder2. The universal forwarder does not parse the data, so it does not need these files.
                                For source A, the data is routed through a heavy forwarder, which can parse the data before sending it to the indexer. Therefore, you need to place both props.conf and transforms.conf on the heavy forwarder for source A, so that the masking takes place before indexing.
                                For source B, the data is routed directly to the indexer, which parses and indexes the data. Therefore, you need to place both props.conf and transforms.conf on the indexer for source B, so that the masking takes place before indexing.


                                NEW QUESTION # 104
                                How would you configure your distsearch conf to allow you to run the search below?
                                sourcetype=access_combined status=200 action=purchase splunk_setver_group=HOUSTON A) B)

                                C)

                                D)

                                Answer: D

                                Explanation:
                                https://docs.splunk.com/Documentation/Splunk/8.0.3/DistSearch/Distributedsearchgroups


                                NEW QUESTION # 105
                                Which Splunk component would one use to perform line breaking prior to indexing?

                                Answer: D

                                Explanation:
                                A heavy forwarder is a Splunk Enterprise instance that can parse and filter data before forwarding it to an indexer. A heavy forwarder can perform line breaking, which is the process of splitting incoming data into individual events based on a set of rules. A heavy forwarder can also apply other transformations to the data, such as field extractions, event type matching, or masking sensitive data.


                                NEW QUESTION # 106
                                ......

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