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The SPLK-1002 Exam covers a wide range of topics, including data inputs and forwarders, search fundamentals, Splunk indexes, and distributed search. SPLK-1002 exam also tests the candidate's knowledge of creating and managing alerts, using data models, and working with Splunk's REST API. Splunk Core Certified Power User Exam certification is an excellent way for professionals to validate their knowledge and skills in using Splunk Core.
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NEW QUESTION # 232
Which statement is true?
Answer: A
Explanation:
The statement that pivot is used for creating reports and dashboards is true. Pivot is a graphical interface that
allows you to create tables, charts, and visualizations from data models. Data models are structured datasets
that define how data is organized and categorized. Pivot does not create datasets, but uses existing ones.
NEW QUESTION # 233
When using timechart, how many fields can be listed after a by clause?
Answer: A
Explanation:
The timechart command is used to create a time-series chart of statistical values based on your search
results2. You can use the timechart command with a by clause to split the results by one or more fields and
create multiple series in the chart2. However, you can only list one field after the by clause when using the
timechart command because _time is already implied as the x-axis of the chart2. Therefore, option B is
correct, while options A, C and D are incorrect.
NEW QUESTION # 234
Which of the following are valid options with the chart command ?(select all that apply)
Answer: A,B
NEW QUESTION # 235
How is a Search Workflow Action configured to run at the same time range as the original search?
Answer: D
Explanation:
Explanation
To configure a Search Workflow Action to run at the same time range as the original search, you need to select the "Use the same time range as the search that created the field listing" checkbox. This will ensure that the workflow action search uses the same earliest and latest time parameters as the original search.
NEW QUESTION # 236
There are several ways to access the field extractor. Which option automatically identifies data type, source type, and sample event?
Answer: D
Explanation:
There are several ways to access the field extractor. The option that automatically identifies data type, source type, and sample event is Fields sidebar > Extract New Field. The field extractor is a tool that helps you extract fields from your data using delimiters or regular expressions. The field extractor can generate a regex for you based on your selection of sample values or you can enter your own regex in the field extractor. The field extractor can be accessed by using various methods, such as:
Fields sidebar > Extract New Field: This is the easiest way to access the field extractor. The fields sidebar is a panel that shows all available fields for your data and their values. When you click on Extract New Field in the fields sidebar, Splunk will automatically identify the data type, source type, and sample event for your data based on your current search criteria. You can then use the field extractor to select sample values and generate a regex for your new field.
Event Actions > Extract Fields: This is another way to access the field extractor. Event actions are actions that you can perform on individual events in your search results, such as viewing event details, adding to report, adding to dashboard, etc. When you click on Extract Fields in the event actions menu, Splunk will use the current event as the sample event for your data and ask you to select the source type and data type for your data. You can then use the field extractor to select sample values and generate a regex for your new field.
Settings > Field Extractions > New Field Extraction: This is a more advanced way to access the field extractor. Settings is a menu that allows you to configure various aspects of Splunk, such as indexes, inputs, outputs, users, roles, apps, etc. When you click on New Field Extraction in the Settings menu, Splunk will ask you to enter all the details for your new field extraction manually, such as app context, name, source type, data type, sample event, regex, etc. You can then use the field extractor to verify or modify your regex for your new field.
NEW QUESTION # 237
......
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