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Splunk SPLK-1002 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Tags and Event Types	10%	- Knowledge objects 1. Create and use tags 2. Create event types 3. Event types usage
Topic 2: Correlating Events	15%	- Event correlation techniques 1. Identify transactions 2. Report on transactions 3. Search with transactions 4. Group events using fields 5. Group events using fields and time 6. When to use transactions vs stats
Topic 3: Using Transforming Commands for Visualizations	5%	- Visualization commands 1. chart command 2. timechart command
Topic 4: Workflow Actions	10%	- Workflow action types 1. GET workflow actions 2. POST workflow actions 3. Search workflow actions
Topic 5: Common Information Model (CIM)	10%	- Data normalization 1. Using CIM add-ons 2. Purpose of CIM 3. Data normalization techniques
Topic 6: Data Models	10%	- Data model concepts 1. Pivot usage 2. Data model structure 3. Data model attributes 4. Create data models
Topic 7: Creating and Managing Fields	10%	- Field extraction methods 1. Delimiter field extraction using Field Extractor (FX) 2. Regex field extraction using Field Extractor (FX)
Topic 8: Filtering and Formatting Results	10%	- Search and evaluation commands 1. fillnull command 2. eval command 3. where command 4. search command
Topic 9: Field Aliases and Calculated Fields	10%	- Field enrichment 1. Field aliases 2. Calculated fields
Topic 10: Macros	10%	- Search macros 1. Create and use basic macros 2. Macros with arguments

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Splunk Core Certified Power User Exam Sample Questions (Q312-Q317):

NEW QUESTION # 312
A user wants to convert numeric field values to strings and also to sort on those values.
Which command should be used first, the eval or the sort?

A. Convert the numeric to a string with eval first, then sort.
B. You cannot use the sort command and the eval command on the same field.
C. Use sort first, then convert the numeric to a string with eval.
D. It doesn't matter whether eval or sort is used first.

Answer: C

Explanation:
Explanation
The eval command is used to create new fields or modify existing fields based on an expression2. The sort command is used to sort the results by one or more fields in ascending or descending order2. If you want to convert numeric field values to strings and also sort on those values, you should use the sort command first, then use the eval command to convert the values to strings2. This way, the sort command will use the original numeric values for sorting, rather than the converted string values which may not sort correctly. Therefore, option C is correct, while options A, B and D are incorrect.

NEW QUESTION # 313
The timechart command is an example of which of the following command types?

A. Transforming
B. Orchestrating
C. Generating
D. Statistical

Answer: A

Explanation:
The correct answer is B. Transforming.
The explanation is as follows:
The timechart command is a Splunk command that creates a time series chart with corresponding table of statistics12.
A timechart is a statistical aggregation applied to a field to produce a chart, with time used as the X-axis1. You can specify a split-by field, where each distinct value of the split-by field becomes a series in the chart1.
Transforming commands are commands that change the format of the search results into a data structure that can be easily visualized3. Transforming commands often use stats functions to aggregate and summarize data3.
Therefore, the timechart command is an example of a transforming command, as it transforms the search results into a chart and a table using stats functions123.

NEW QUESTION # 314
Which one of the following statements about the searchcommand is true?

A. It can only be used at the beginning of the search pipeline.
B. It behaves exactly like search strings before the first pipe.
C. It does not allow the use of wildcards.
D. It treats field values in a case-sensitive manner.

Answer: A

Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/SplunkCloud/8.0.2003/Search/Usethesearchcommand

NEW QUESTION # 315
What happens to the original field name when a field alias is created?

A. The original field name still exists in the index but is not visible to the user at search time.
B. The original field name is not affected by the creation of a field alias.
C. The original field name is replaced by the field alias within the index.
D. The original field name is italicized to indicate that it is not an alias.

Answer: B

Explanation:
Creating a field alias in Splunk does not modify or remove the original field. Instead, the alias allows the same data to be accessed using a different field name without affecting the original field.

NEW QUESTION # 316
When would a user select delimited field extractions using the Field Extractor (FX)?

A. When the file has a header that might provide information about its structure or format.
B. With structured files such as JSON or XML.
C. When a log file contains empty lines or comments.
D. When a log file has values that are separated by the same character, for example, commas.

Answer: D

Explanation:
The correct answer is A. When a log file has values that are separated by the same character, for example, commas.
The Field Extractor (FX) is a utility in Splunk Web that allows you to create new fields from your events by using either regular expressions or delimiters. The FX provides a graphical interface that guides you through the steps of defining and testing your field extractions1.
The FX supports two field extraction methods: regular expression and delimited. The regular expression method works best with unstructured event data, such as logs or messages, that do not have a consistent format or structure. You select a sample event and highlight one or more fields to extract from that event, and the FX generates a regular expression that matches similar events in your data set and extracts the fields from them1.
The delimited method is designed for structured event data: data from files with headers, where all of the fields in the events are separated by a common delimiter, such as a comma, a tab, or a space. You select a sample event, identify the delimiter, and then rename the fields that the FX finds1.
Therefore, you would select the delimited field extraction method when you have a log file that has values that are separated by the same character, for example, commas. This method will allow you to easily extract the fields based on the delimiter without writing complex regular expressions.
The other options are not correct because they are not suitable for the delimited field extraction method. These options are:
* B. When a log file contains empty lines or comments: This option does not indicate that the log file has a structured format or a common delimiter. The delimited method might not work well with this type of data, as it might miss some fields or include some unwanted values.
* C. With structured files such as JSON or XML: This option does not require the delimited method, as Splunk can automatically extract fields from JSON or XML files by using indexed extractions or search-time extractions2. The delimited method might not work well with this type of data, as it might not recognize the nested structure or the special characters.
* D. When the file has a header that might provide information about its structure or format: This option does not indicate that the file has a common delimiter between the fields. The delimited method might not work well with this type of data, as it might not be able to identify the fields based on the header information.
References:
* Build field extractions with the field extractor
* Configure indexed field extraction

NEW QUESTION # 317
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