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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Common Information Model (CIM) | 10% | - Data normalization
|
| Topic 2: Field Aliases and Calculated Fields | 10% | - Field enrichment
|
| Topic 3: Filtering and Formatting Results | 10% | - Search and evaluation commands
|
| Topic 4: Workflow Actions | 10% | - Workflow action types
|
| Topic 5: Using Transforming Commands for Visualizations | 5% | - Visualization commands
|
| Topic 6: Data Models | 10% | - Data model concepts
|
| Topic 7: Creating and Managing Fields | 10% | - Field extraction methods
|
| Topic 8: Correlating Events | 15% | - Event correlation techniques
|
| Topic 9: Macros | 10% | - Search macros
|
| Topic 10: Tags and Event Types | 10% | - Knowledge objects
|
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NEW QUESTION # 303
Which syntax will find events where the values for the 1 field match the values for the Renewal-MonthYear field?
| where 10yearAnnerversary=Renewal-MonthYear
| where '10yearAnnerversary=Renewal-MonthYear
| where 10yearAnnerversary='Renewal-MonthYear'
| where '10yearAnnerversary'='Renewal-MonthYear'
Answer: A
Explanation:
The where command is used to filter the search results based on an expression that evaluates to true or false. The where command can compare two fields, two values, or a field and a value. The where command can also use functions, operators, and wildcards to create complex expressions1.
The syntax for the where command is:
| where <expression>
The expression can be a comparison, a calculation, a logical operation, or a combination of these. The expression must evaluate to true or false for each event.
To compare two fields with the where command, you need to use the field names without any quotation marks. For example, if you want to find events where the values for the 10yearAnnerversary field match the values for the Renewal-MonthYear field, you can use the following syntax:
| where 10yearAnnerversary=Renewal-MonthYear
This will return only the events where the two fields have the same value.
The other options are not correct because they use quotation marks around the field names, which will cause the where command to interpret them as string values instead of field names. For example, if you use:
| where '10yearAnnerversary'='Renewal-MonthYear'
This will return no events because there are no events where the string value '10yearAnnerversary' is equal to the string value 'Renewal-MonthYear'.
Explanation:
The correct answer is
Reference:
where command usage
NEW QUESTION # 304
Where are the results of evalcommands stored?
Answer: D
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.4/SearchReference/Eval
NEW QUESTION # 305
When should you use the transaction command instead of the scats command?
Answer: D
Explanation:
The transaction command is used to group events into transactions based on some common characteristics, such as fields, time, or both. The transaction command can also specify start and end constraints for the transactions, such as a field value that indicates the beginning or the end of a transaction. The stats command is used to calculate summary statistics on the events, such as count, sum, average, etc. The stats command cannot group events based on start and end constraints, but only on fields or time buckets. Therefore, the transaction command should be used instead of the stats command when you need to group events based on start and end constraints.
NEW QUESTION # 306
Consider the the following search run over a time range of last 7 days:
index=web sourcetype=access_conbined | timechart avg(bytes) by product_nane
Which option is used to change the default time span so that results are grouped into 12 hour intervals?
Answer: B
Explanation:
The span option is used to specify the time span for the timechart command. The span value can be a number
followed by a time unit, such as h for hour, d for day, w for week, etc. The span value determines how the data
is grouped into time buckets. For example, span=12h means that the data is grouped into 12-hour
intervals. The timespan option is not a valid option for the timechart command2
1: Splunk Core Certified Power User Track, page 9. 2: Splunk Documentation, timechart command.
NEW QUESTION # 307
What approach is recommended when using the Splunk Common Information Model (CIM) add-on to normalize data?
Answer: D
Explanation:
Explanation
The recommended approach when using the Splunk Common Information Model (CIM) add-on to normalize data is A. Consult the CIM data model reference tables. This is because the CIM data model reference tables provide detailed information about the fields and tags that are expected for each dataset in a data model. By consulting the reference tables, you can determine which data models are relevant for your data source and how to map your data fields to the CIM fields. You can also use the reference tables to validate your data and troubleshoot any issues with normalization. You can find the CIM data model reference tables in the Splunk documentation1 or in the Data Model Editor page in Splunk Web2. The other options are incorrect because they are not related to the CIM add-on or data normalization. The authentication command is a custom command that validates events against the Authentication data model, but it does not help you to normalize other types of data. The correlation command is a search command that performs statistical analysis on event fields, but it does not help you to map your data fields to the CIM fields. The CIM event type reference tables do not exist, as event types are not part of the CIM add-on.
NEW QUESTION # 308
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