SPLK-1002 Dumps Free Test Engine Player Verified Updated [May 04, 2024]
Q&As with Explanations Verified & Correct Answers
Splunk SPLK-1002 (Splunk Core Certified Power User) Exam is designed to test the knowledge and skills of professionals who work with Splunk Enterprise in complex environments. SPLK-1002 exam is ideal for individuals who want to demonstrate their ability to use Splunk for searching, reporting, and analyzing data. The SPLK-1002 exam covers a range of topics, including advanced search commands, data models, pivot, and report acceleration. Candidates who pass the exam will be able to apply their skills to optimize the performance of Splunk searches, create complex reports, and analyze data with ease.
The SPLK-1002 exam is a 57-question exam that assesses an individual's ability to use Splunk effectively. SPLK-1002 exam is divided into two sections, and the first section evaluates the individual's knowledge of the Splunk user interface and search processing language. The second section of the exam evaluates the individual's ability to create reports, dashboards, and alerts while managing knowledge objects effectively.
NEW QUESTION # 139
Which of the following statements describes POST workflow actions?
- A. POST workflow actions are always encrypted.
- B. POST workflow actions cannot be created on custom sourcetypes.
- C. POST workflow actions can open a web page in either the same window or a new .
- D. POST workflow actions cannot use field values in their URI.
Answer: C
NEW QUESTION # 140
Which of the following are required to create a POST workflow action?
- A. Label, URI, post arguments.
- B. XMI attributes, URI, name.
- C. URI, search string, time range picker.
- D. Label, URI, search string.
Answer: A
Explanation:
Explanation
POST workflow actions are custom actions that send a POST request to a web server when you click on a field value in your search results. POST workflow actions can be configured with various options, such as label name, base URL, URI parameters, post arguments, app context, etc. One of the options that are required to create a POST workflow action is post arguments. Post arguments are key-value pairs that are sent in the body of the POST request to provide additional information to the web server. Post arguments can include field values from your data by using dollar signs around the field names.
NEW QUESTION # 141
What does the Splunk Common Information Model (CIM) add-on include? (select all that apply)
- A. Fields and event category tags
- B. Automatic data model acceleration
- C. Custom visualizations
- D. Pre-configured data models
Answer: A,C
NEW QUESTION # 142
Where are the results of eval commands stored?
- A. In an index.
- B. In a field.
- C. In a database.
- D. In a KV Store.
Answer: B
Explanation:
Explanation
https://docs.splunk.com/Documentation/Splunk/8.0.2/SearchReference/Eval The eval command calculates an expression and puts the resulting value into a search results field.
* If the field name that you specify does not match a field in the output, a new field is added to the search results.
* If the field name that you specify matches a field name that already exists in the search results, the results of the eval expression overwrite the values in that field.
NEW QUESTION # 143
When you mouse over and click to add a search term this (thesE. Boolean operator(s) is(arE. not implied. (Select all that apply).
- A. NOT
- B. ( )
- C. AND
- D. OR
Answer: A,B,D
NEW QUESTION # 144
What are search macros?
- A. Lookup definitions in lookup tables.
- B. A method to normalize fields.
- C. Categories of search results.
- D. Reusable pieces of search processing language.
Answer: D
Explanation:
Explanation
The correct answer is B. Reusable pieces of search processing language.
The explanation is as follows:
Search macros are knowledge objects that allow you to insert chunks of SPL into other searches12.
Search macros can be any part of a search, such as an eval statement or a search term, and do not need to be a complete command12.
You can also specify whether the macro field takes any arguments and define validation expressions for them12.
Search macros can help you make your SPL searches shorter and easier to understand3.
To use a search macro in a search string, you need to put a backtick character () before and after the macro name[^1^][1]. For example, mymacro`.
NEW QUESTION # 145
A field alias has been created based on an original field. A search without any transforming commands is then executed in Smart Mode. Which field name appears in the results?
- A. Both will appear in the Interesting Fields list, but only if they appear in at least 20 percent of events.
- B. The alias only appears in the All Fields list and the original field only appears in the Interesting Fields list.
- C. The original field only appears in All Fields list and the alias only appears in the Interesting Fields list.
- D. Both will appear in the All Fields list, but only if the alias is specified in the search.
Answer: A
Explanation:
Explanation
A field alias is a way to assign an alternative name to an existing field without changing the original field name or value2. You can use field aliases to make your field names more consistent or descriptive across different sources or sourcetypes2. When you run a search without any transforming commands in Smart Mode, Splunk automatically identifies and displays interesting fields in your results2. Interesting fields are fields that appear in at least 20 percent of events or have high variability among values2. If you have created a field alias based on an original field, both the original field name and the alias name will appear in the Interesting Fields list if they meet these criteria2. However, only one of them will appear in each event depending on which one you have specified in your search string2. Therefore, option B is correct, while options A, C and D are incorrect.
NEW QUESTION # 146
Which of the following is the correct way to use the data model command to search field in the data model
within the web dataset?
- A. Datamodel=web | search web | filed web*
- B. | Search datamodel web web | filed web*
- C. | datamodel web search | filed web *
- D. | datamodel web web field | search web*
Answer: C
Explanation:
The data model command allows you to run searches on data models that have been accelerated1. The syntax
for using the data model command is | datamodel <model_name> <dataset_name> [search <search_string>]1.
Therefore, option A is the correct way to use the data model command to search fields in the data model
within the web dataset. Options B and C are incorrect because they do not follow the syntax for the data model
command. Option D is incorrect because it does not use the data model command at all.
NEW QUESTION # 147
By default, all users have DELETE permission to ALL knowledge objects.
- A. False
- B. True
Answer: A
NEW QUESTION # 148
Which of the following transforming commands can be used with transactions?
- A. chart, timeehart, datamodel, pivot
- B. chart, timechart, stats, diff
- C. chart, timechart, stats, eventstats
- D. chart, timecha:t, stats, pivot
Answer: C
Explanation:
The correct answer is A. chart, timechart, stats, eventstats.
Transforming commands are commands that change the format of the search results into a table or a
chart.They can be used to perform statistical calculations, create visualizations, or manipulate data in various
ways1.
Transactions are groups of events that share some common values and are related in some way.Transactions
can be defined by using the transaction command or by creating a transaction type in the transactiontypes.conf
file2.
Some transforming commands can be used with transactions to create tables or charts based on the transaction
fields. These commands include:
chart: This command creates a table or a chart that shows the relationship between two or more fields.It
can be used to aggregate values, count occurrences, or calculate statistics3.
timechart: This command creates a table or a chart that shows how a field changes over time.It can be
used to plot trends, patterns, or outliers4.
stats: This command calculates summary statistics on the fields in the search results, such as count, sum,
average, etc.It can be used to group and aggregate data by one or more fields5.
eventstats: This command calculates summary statistics on the fields in the search results, similar to
stats, but it also adds the results to each event as new fields. It can be used to compare events with the
overall statistics.
These commands can be applied to transactions by using the transaction fields as arguments. For example, if
you have a transaction type named "login" that groups events based on the user field and has fields such as
duration and eventcount, you can use the following commands with transactions:
| chart count by user: This command creates a table or a chart that shows how many transactions each
user has.
| timechart span=1h avg(duration) by user: This command creates a table or a chart that shows the
average duration of transactions for each user per hour.
| stats sum(eventcount) as total_events by user: This command creates a table that shows the total
number of events for each user across all transactions.
| eventstats avg(duration) as avg_duration: This command adds a new field named avg_duration to each
transaction that shows the average duration of all transactions.
The other options are not valid because they include commands that are not transforming commands or cannot
be used with transactions. These commands are:
diff: This command compares two search results and shows the differences between them. It is not a
transforming command and it does not work with transactions.
datamodel: This command retrieves data from a data model, which is a way to organize and categorize
data in Splunk. It is not a transforming command and it does not work with transactions.
pivot: This command creates a pivot report, which is a way to analyze data from a data model using a
graphical interface. It is not a transforming command and it does not work with transactions.
References:
About transforming commands
About transactions
chart command overview
timechart command overview
stats command overview
[eventstats command overview]
[diff command overview]
[datamodel command overview]
[pivot command overview]
NEW QUESTION # 149
Default fields are not added to every event in SPLUNK at INDEX time.
- A. False
- B. True
Answer: A
NEW QUESTION # 150
How does a user display a chart in stack mode?
- A. You cannot display a chart in stack mode, only a timechart.
- B. By changing Stack Mode in the Format menu.
- C. By using the stack command.
- D. By turning on the Use Trellis Layout option.
Answer: B
Explanation:
A chart is a graphical representation of your search results that shows the relationship between two or more fields2. You can display a chart in stack mode by changing the Stack Mode option in the Format menu2. Stack mode allows you to stack multiple series on top of each other in a chart to show the cumulative values of each series2. Therefore, option C is correct, while options A, B and D are incorrect because they are not ways to display a chart in stack mode.
NEW QUESTION # 151
Which command can include both an overand a byclause to divide results into sub-groupings?
- A. stats
- B. transaction
- C. xyseries
- D. chart
Answer: D
Explanation:
Explanation/Reference: https://www.splunk.com/en_us/blog/tips-and-tricks/search-commands-stats-chart-and- timechart.html
NEW QUESTION # 152
The time range specified for a historical search defines the ____________ .------questionable on ans
- A. Amount of data fetched from index matching that time range
- B. Time range for the static results
- C. Amount of data shown on the timeline as data streams in
Answer: A
Explanation:
The time range specified for a historical search defines the amount of data fetched from the index matching that time range2. A historical search is a search that runs over a fixed period of time in the past2. When you run a historical search, Splunk searches the index for events that match your search string and fall within the specified time range2. Therefore, option B is correct, while options A and C are incorrect because they are not what the time range defines for a historical search.
NEW QUESTION # 153
Which search retrieves events with the event type web_errors?
- A. eventtype=web_errors
- B. eventtype "web errors"
- C. eventtype (web_errors)
- D. tag=web_errors
Answer: A
Explanation:
The correct answer is B. eventtype=web_errors.
An event type is a way to categorize events based on a search. An event type assigns a label to events that match a specific search criteria. Event types can be used to filter and group events, create alerts, or generate reports1.
To search for events that have a specific event type, you need to use the eventtype field with the name of the event type as the value. The syntax for this is:
eventtype=<event_type_name>
For example, if you want to search for events that have the event type web_errors, you can use the following syntax:
eventtype=web_errors
This will return only the events that match the search criteria defined by the web_errors event type.
The other options are not correct because they use different syntax or fields that are not related to event types. These options are:
A) tag=web_errors: This option uses the tag field, which is a way to add descriptive keywords to events based on field values. Tags are different from event types, although they can be used together. Tags can be used to filter and group events by common characteristics2.
C) eventtype "web errors": This option uses quotation marks around the event type name, which is not valid syntax for the eventtype field. Quotation marks are used to enclose phrases or exact matches in a search3.
D) eventtype (web_errors): This option uses parentheses around the event type name, which is also not valid syntax for the eventtype field. Parentheses are used to group expressions or terms in a search3.
Reference:
About event types
About tags
Search command cheatsheet
NEW QUESTION # 154
Which of the following is true about Pivot?
- A. Users must use SPL to find events in a Pivot.
- B. Users cannot create visualizations with Pivot.
- C. Users can save reports from Pivot.
- D. Users cannot share visualizations created with Pivot.
Answer: C
Explanation:
In Splunk, Pivot is a tool that allows you to report on a specific data set without using the Splunk Search Processing Language (SPL™)1. You can use a drag-and-drop interface to design and generate pivots that present different aspects of your data in the form of tables, charts, and other visualizations12.
One of the features of Pivot is that it allows you to save your reports1. This can be useful when you want to reuse a report or share it with others1. Therefore, it's not true that users cannot share visualizations created with Pivot or that they must use SPL to find events in a Pivot12. It's also not true that users cannot create visualizations with Pivot, as creating visualizations is one of the main functions of Pivot12.
NEW QUESTION # 155
Which is not a comparison operator in Splunk
- A. >
- B. !=
- C. =
- D. <=
- E. ?=
Answer: E
Explanation:
A comparison operator is a symbol that compares two values and returns a Boolean result (true or false)2. Splunk supports various comparison operators such as <, >, =, !=, <=, >=, IN and LIKE2. However, ?= is not a valid comparison operator in Splunk and will cause a syntax error if used in a search string2. Therefore, option E is correct, while options A, B, C and D are incorrect because they are valid comparison operators in Splunk
NEW QUESTION # 156
In the Field Extractor, when would the regular expression method be used?
- A. When events contain unstructured data.
- B. When events contain JSON data.
- C. When events contain comma-separated data.
- D. When events contain table-based data.
Answer: A
Explanation:
The correct answer is C. When events contain unstructured data.
The regular expression method works best with unstructured event data, such as log files or text messages,
where the fields are not separated by a common delimiter, such as a comma or space1.You select a sample
event and highlight one or more fields to extract from that event, and the field extractor generates a regular
expression that matches similar events inyour dataset and extracts the fields from them1. The regular
expression method provides several tools for testing and refining the accuracy of the regular expression.It also
allows you to manually edit the regular expression1.
The delimiters 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 or space1.You select a sample
event, identify the delimiter, and then rename the fields that the field extractor finds1.This method is simpler
and faster than the regular expression method, but it may not work well with complex or irregular data
formats1.
Reference:
1:Build field extractions with the field extractor - Splunk Documentation
NEW QUESTION # 157
Given the macro definition below, what should be entered into the Name and Arguments fileds to correctly configured the macro?
- A. The macro name is sessiontracker and the arguments are $action$, $JESSIONID$.
- B. The macro name is sessiontracker and the arguments are action, JESSIONID.
- C. The macro name is sessiontracker(2) and the Arguments are $action$, $JESSIONID$.
- D. The macro name is sessiontracker(2) and the arguments are action, JESSIONID.
Answer: D
Explanation:
Reference:
The macro definition below shows a macro that tracks user sessions based on two arguments: action and JSESSIONID.
sessiontracker(2)
The macro definition does the following:
It specifies the name of the macro as sessiontracker. This is the name that will be used to execute the macro in a search string.
It specifies the number of arguments for the macro as 2. This indicates that the macro takes two arguments when it is executed.
It specifies the code for the macro as index=main sourcetype=access_combined_wcookie action=$action$ JSESSIONID=$JSESSIONID$ | stats count by JSESSIONID. This is the search string that will be run when the macro is executed. The search string can contain any part of a search, such as search terms, commands, arguments, etc. The search string can also include variables for the arguments using dollar signs around them. In this case, action and JSESSIONID are variables for the arguments that will be replaced by their values when the macro is executed.
Therefore, to correctly configure the macro, you should enter sessiontracker as the name and action, JSESSIONID as the arguments. Alternatively, you can use sessiontracker(2) as the name and leave the arguments blank.
NEW QUESTION # 158
When using the Field Extractor (FX), which of the following delimiters will work? (select all that apply)
- A. Tabs
- B. Spaces
- C. Colons
- D. Pipes
Answer: A,B,D
Explanation:
Reference:
https://community.splunk.com/t5/Splunk-Search/Field-Extraction-Separate-on-Colon/m-p/29751 The Field Extractor (FX) is a tool that helps you extract fields from your data using delimiters or regular expressions. Delimiters are characters or strings that separate fields in your data. Some of the delimiters that will work with FX are:
Tabs: horizontal spaces that align text in columns.
Pipes: vertical bars that often indicate logical OR operations.
Spaces: blank characters that separate words or symbols.
Therefore, the delimiters A, B, and D will work with FX.
NEW QUESTION # 159
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