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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Working with Splunk Cloud Support | 5% | - Collecting diagnostic information - Support process and engagement |
| Topic 2: Splunk Cloud Overview | 5% | - Cloud topology and architecture - Differences between Splunk Cloud and Splunk Enterprise - Administrator roles and responsibilities |
| Topic 3: Network and Other Inputs | 10% | - Windows-specific inputs - Input tuning and optional settings - TCP and UDP network inputs - Scripted inputs |
| Topic 4: Configuration Files and Settings | 10% | - Validation and troubleshooting - Configuration file structure and precedence - Managing cloud-compatible configurations |
| Topic 5: Monitor Inputs | 15% | - Data ingestion process - File and directory monitoring inputs - Input configuration and settings |
| Topic 6: Applications and Add-ons | 5% | - Splunk Cloud supported add-ons - Installing and managing apps |
| Topic 7: User Authentication and Authorization | 10% | - LDAP and SSO integration - User account management - Role-based access control |
| Topic 8: Data Manipulation | 10% | - Field extraction and transformation - Raw data modification - Event processing and enrichment |
| Topic 9: Index Management | 5% | - Understanding indexes in Splunk Cloud - Data retention and storage management - Index creation, configuration and monitoring |
| Topic 10: Parsing and Data Preview | 10% | - Data preview and validation - Default parsing process - Event line breaking and timestamp configuration |
| Topic 11: Forwarder Management | 5% | - Deployment Server and deployment clients - Managing forwarders via deployment apps - Forwarder types and deployment |
| Topic 12: Monitoring and Troubleshooting | 10% | - System health and performance monitoring - Common issues and resolution - Log and error analysis |
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NEW QUESTION # 40
Which of the following methods is valid for creating index-time field extractions?
Answer: C
Explanation:
The valid method for creating index-time field extractions is to create a configuration app that includes the necessary props.conf and/or transforms.conf configurations. This app can then be uploaded via the UI. Index- time field extractions must be defined in these configuration files to ensure that fields are extracted correctly during indexing.
Splunk Documentation Reference: Index-time field extractions
NEW QUESTION # 41
For the following data, what would be the correct attribute/value oair to use to successfully extract the correct timestamp from all the events?
Answer: C
Explanation:
The correct attribute/value pair to successfully extract the timestamp from the provided events is TIME_FORMAT = %b %d %H:%M:%S. This format corresponds to the structure of the timestamps in the provided data:
%b represents the abbreviated month name (e.g., Sep).
%d represents the day of the month.
%H:%M:%S represents the time in hours, minutes, and seconds. This format will correctly extract timestamps like "Sep 12 06:11:58".
NEW QUESTION # 42
A user has been asked to mask some sensitive data without tampering with the structure of the file /var/log
/purchase/transactions. log that has the following format:
Answer: B
Explanation:
Option B is the correct approach because it properly uses a TRANSFORMS stanza in props.conf to reference the transforms.conf for removing sensitive data. The transforms stanza in transforms.conf uses a regular expression (REGEX) to locate the sensitive data (in this case, the SuperSecretNumber) and replaces it with a masked version using the FORMAT directive.
In detail:
* props.conf refers to the transforms.conf stanza remove_sensitive_data by setting TRANSFORMS- cleanup = remove_sensitive_data.
* transforms.conf defines the regular expression that matches the sensitive data and specifies how the sensitive data should be replaced in the FORMAT directive.
This approach ensures that sensitive information is masked before indexing without altering the structure of the log files.
Splunk Cloud Reference: For further reference, you can look at Splunk's documentation regarding data masking and transformation through props.conf and transforms.conf.
Source:
* Splunk Docs: Anonymize data
* Splunk Docs: Props.conf and Transforms.conf
NEW QUESTION # 43
What can be used in a Splunk Cloud environment to create new sourcetypes?
Answer: D
Explanation:
In a Splunk Cloud environment, the Data Preview feature is used to create and test new sourcetypes. This feature allows you to upload sample data, configure parsing settings, and define sourcetypes interactively without directly editing configuration files like props.conf or using the CLI.
NEW QUESTION # 44
When monitoring directories that contain mixed file types, which setting should be omitted from inputs, conf and instead be overridden in propo.conf?
Answer: D
Explanation:
When monitoring directories containing mixed file types, the sourcetype should typically be overridden in props.conf rather than defined in inputs.conf. This is because sourcetype is meant to classify the type of data being ingested, and when dealing with mixed file types, setting a single sourcetype in inputs.conf would not be effective for accurate data classification. Instead, you can use props.conf to define rules that apply different sourcetypes based on the file path, file name patterns, or other criteria. This allows for more granular and accurate assignment of sourcetypes, ensuring the data is properly parsed and indexed according to its type.
Splunk Cloud Reference:For further clarification, refer to Splunk's official documentation on configuring inputs and props, especially the sections discussing monitoring directories and configuring sourcetypes.
Source:
* Splunk Docs: Monitor files and directories
* Splunk Docs: Configure event line breaking and input settings with props.conf
NEW QUESTION # 45
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