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Splunk SPLK-1002 certification exam is intended for individuals who have experience in using Splunk software and want to take their skills to the next level. SPLK-1002 exam is divided into multiple sections that cover various aspects of Splunk, including searching and reporting, knowledge objects, and data management. SPLK-1002 exam also tests the ability of the candidate to troubleshoot issues and optimize Splunk performance.
NEW QUESTION # 147
A data model consists of which three types of datasets?
- A. Transaction, session ID, metadata.
- B. Events, searches, transactions.
- C. Constraint, field, value.
- D. Field extraction, regex, delimited.
Answer: B
Explanation:
Explanation
Explanation/Reference: https://docs.splunk.com/Splexicon:Datamodeldataset
NEW QUESTION # 148
These kinds of fields are identified in your data at INDEX time. ----ans ?able
- A. Default fields
- B. Data-specific fields
Answer: A
NEW QUESTION # 149
Which of the following statements describe GET workflow actions?
- A. GET workflow actions must be configured with POST arguments.
- B. GET workflow actions can be configured to open the URI link in the current window or in a new window.
- C. Label names for GET workflow actions must include a field name surrounded by dollar signs.
- D. Configuration of GET workflow actions includes choosing a sourcetype.
Answer: B
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.1.1/Knowledge/SetupaGETworkflowaction
NEW QUESTION # 150
Selected fields are displayed ______each event in the search results.
- A. below
- B. above
- C. interesting fields
- D. other fields
Answer: A
Explanation:
Explanation
Selected fields are fields that you choose to display in your search results by clicking on them in the Fields sidebar or by using the fields command2. Selected fields are displayed below each event in the search results, along with their values2. Therefore, option A is correct, while options B, C and D are incorrect because they are not places where selected fields are displayed.
NEW QUESTION # 151
Given the following eval statement:
...| eval fieldl - if(isnotnull(fieldl),fieldl,0), field2 = if(isnull<field2>, "NO-VALUE", fieid2)
Which of the following is the equivalent using f ilinull?
- A. ... I fillnull fieldl I filinull value="NO-VALUE" field2
- B. There is no equivalent expression using f ilinull
- C. ... t filinull values=(0,"NO-VALUE") fields=(fieldl,field2)
- D. ... I filinull value=0 fieldl I fillnull fields
Answer: C
Explanation:
The fillnull command replaces null values in one or more fields with a specified value. The values option
allows you to specify a comma-separated list of values to fill the null values in the corresponding fields. The
fields option allows you to specify a comma-separated list of fields to apply the fillnull command to. The eval
statement in the question uses the if and isnull functions to check if field1 and field2 have null values and
replace them with 0 and "NO-VALUE" respectively. The equivalent expression using fillnull is to use the
values option to specify 0 and "NO-VALUE" and the fields option to specify field1 and field22
1: Splunk Core Certified Power User Track, page 9. 2: Splunk Documentation, fillnull command.
NEW QUESTION # 152
When using| timechart by host, which field is represented in the x-axis?
- A. host
- B. date
- C. _time
- D. time
Answer: D
Explanation:
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.4/SearchReference/Timechart
NEW QUESTION # 153
A calculated field maybe based on which of the following?
- A. Regular expressions
- B. Fields generated within a search string
- C. Extracted fields
- D. Lookup tables
Answer: C
Explanation:
Explanation
As mentioned before, a calculated field is a field that you create based on the value of another field or fields2. A calculated field can be based on extracted fields, which are fields that are extracted from your raw data using various methods such as regular expressions, delimiters or key-value pairs2. Therefore, option B is correct, while options A, C and D are incorrect because they are not types of fields that a calculated field can be based on.
NEW QUESTION # 154
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?
- A. span=12
- B. timespan=12
- C. timespan=12h
- D. span=12h
Answer: D
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 # 155
When defining a macro, what are the required elements?
- A. Name and definition.
- B. Definition and arguments.
- C. Name and a validation error message.
- D. Name and arguments.
Answer: A
Explanation:
When defining a search macro, the required elements are the name and the definition of the macro. The name
is a unique identifier for the macro that can be used to invoke it in other searches. The definition is the search
string that the macro expands to when referenced. The arguments, validation expression, and validation error
message are optional elements that can be used to customize the macro behavior and input validation2
1: Splunk Core Certified Power User Track, page 9. 2: Splunk Documentation, Define search macros in
Settings.
NEW QUESTION # 156
If a search returns ____________ it can be viewed as a chart.
- A. timestamps
- B. keywords
- C. events
- D. statistics
Answer: D
Explanation:
If a search returns statistics, it can be viewed as a chart2. Statistics are tabular data that show the relationship
between two or more fields2. You can create statistics by using commands such as stats, chart or
timechart2. You can view statistics as a chart by selecting the Visualization tab in the Search app and choosing
a chart type such as column, line or pie2. Therefore, option B is correct, while options A, C and D are
incorrect because they are not types of data that can be viewed as a chart.
NEW QUESTION # 157
What do events in a transaction have In common?
- A. All events in a transaction must be related by one or more fields.
- B. All events in a transaction must have the same sourcetype.
- C. All events In a transaction must have the same timestamp.
- D. All events in a transaction must have the exact same set of fields.
Answer: B
NEW QUESTION # 158
Which of the following knowledge objects represents the output of an eval expression?
- A. Eval fields
- B. Calculated lookups
- C. Calculated fields
- D. Field extractions
Answer: C
NEW QUESTION # 159
Which of the following statements about tags is true? (select all that apply.)
- A. Tags are designed to make data more understandable.
- B. Tags are case-insensitive.
- C. Tags are based on field/vale pairs.
- D. Tags categorize events based on a search.
Answer: A,C
Explanation:
The following statements about tags are true: tags are based on field/value pairs and tags categorize events
based on a search. Tags are custom labels that can be applied to fields or field values to provide additional
context or meaning for your data. Tags can be used to filter or analyze your data based on common concepts or
themes. Tags can be created by using various methods, such as search commands, configuration files, user
interfaces, etc. Some of the characteristics of tags are:
Tags are based on field/value pairs: This means that tags are associated with a specific field name and a
specific field value. For example, you can create a tag called "alert" for the field name "status" and the
field value "critical". This means that only events that have status=critical will have the "alert" tag
applied to them.
Tags categorize events based on a search: This means that tags are defined by a search string that
matches the events that you want to tag. For example, you can create a tag called "web" for the search
string sourcetype=access_combined. This means that only events that match the search string
sourcetype=access_combined will have the "web" tag applied to them.
The following statements about tags are false: tags are case-insensitive and tags are designed to make data
more understandable. Tags are case-sensitive and tags are designed to make data more searchable. Tags are
case-sensitive: This means that tags must match the exact case of the field name and field value that they are
associated with. For example, if you create a tag called "alert" for the field name "status" and the field value
"critical", it will not apply to events that have status=CRITICAL or Status=critical. Tags are designed to make
data more searchable: This means that tags can help you find relevant events or patterns in your data by using
common concepts or themes. For example, if you create a tag called "web" for the search string
sourcetype=access_combined, you can use tag=web to find all events related to web activity.
NEW QUESTION # 160
What is the correct syntax to find events associated with a tag?
- A. tags=<value>
- B. tag=<value>
- C. tags:<field>=<value>
- D. tag:<field>=<value>
Answer: B
Explanation:
The correct syntax to find events associated with a tag in Splunk is tag=<value>1. So, the correct answer is D) tag=<value>. This syntax allows you to annotate specified fields in your search results with tags1.
In Splunk, tags are a type of knowledge object that you can use to add meaningful aliases to field values in your data1. For example, if you have a field called status_code in your data, you might have different status codes like 200, 404, 500, etc. You can create tags for these status codes like success for 200, not_found for 404, and server_error for 500. Then, you can use the tag command in your searches to find events associated with these tags1.
Here is an example of how you can use the tag command in a search:
index=main sourcetype=access_combined | tag status_code
In this search, the tag command annotates the status_code field in the search results with the corresponding tags. If you have tagged the status code 200 with success, the status code 404 with not_found, and the status code 500 with server_error, the search results will include these tags1.
You can also use the tag command with a specific tag value to find events associated with that tag. For example, the following search finds all events where the status code is tagged with success:
index=main sourcetype=access_combined | tag status_code | search tag::status_code=success In this search, the tag command annotates the status_code field with the corresponding tags, and the search command filters the results to include only events where the status_code field is tagged with success1.
NEW QUESTION # 161
In the Field Extractor, when would the regular expression method be used?
- A. When events contain JSON data.
- B. When events contain table-based data.
- C. When events contain unstructured data.
- D. When events contain comma-separated data.
Answer: C
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 in your 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 # 162
Which statement is true?
- A. Pivot is used for creating reports and dashboards.
- B. Pivot is used for creating datasets.
- C. Data model are randomly structured datasets.
- D. In most cases, each Splunk user will create their own data model.
Answer: A
Explanation:
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Pivot/IntroductiontoPivot Pivot is used for creating reports and dashboards. Pivot is a tool that allows you to create reports and dashboards from your data models without writing any SPL commands. Pivot can help you visualize and analyze your data using various options, such as filters, rows, columns, cells, charts, tables, maps, etc. Pivot can also help you accelerate your reports and dashboards by using summary data from your accelerated data models.
Pivot is not used for creating datasets or data models. Datasets are collections of events that represent your data in a structured and hierarchical way. Data models are predefined datasets for various domains, such as network traffic, web activity, authentication, etc. Datasets and data models can be created by using commands such as datamodel or pivot.
NEW QUESTION # 163
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. ( )
- B. NOT
- C. OR
- D. AND
Answer: A,B,C
Explanation:
When you mouse over and click to add a search term from the Fields sidebar or from an event in your search results, Splunk automatically adds the term to your search string with an implied AND operator2. However, this does not apply to some Boolean operators such as OR, NOT and parentheses (). These operators are not implied when you add a search term and you have to type them manually if you want to use them in your search string2. Therefore, options A, B and D are correct, while option C is incorrect because AND is implied when you add a search term.
NEW QUESTION # 164
When should you use the transaction command instead of the scats command?
- A. When you have over 1000 events in a transaction.
- B. When you need to group based on start and end constraints.
- C. When you need to group on multiple values.
- D. When duration is irrelevant in search results. .
Answer: A
NEW QUESTION # 165
Field names are case ___________.
- A. sensitive
- B. insensitive
Answer: A
NEW QUESTION # 166
Which syntax is used to represent an argument in a macro definition?
- A. 'argument'
- B. "argument"
- C. %argument%
- D. $argument$
Answer: D
Explanation:
Explanation
The correct answer is D.
A search macro is a way to reuse a piece of SPL code in different searches. A search macro can take arguments, which are variables that can be replaced by different values when the macro is called. A search macro can also contain another search macro within it, which is called a nested macro1.
To represent an argument in a macro definition, you need to use the dollar sign ($) character to enclose the argument name. For example, if you want to create a search macro that takes one argument named "object", you can use the following syntax:
[my_macro(object)] search sourcetype= object
This will create a search macro named my_macro that takes one argument named object. When you call the macro in a search, you need to provide a value for the object argument, such as:
my_macro(web)
This will replace the object argument with the value web and run the following SPL code:
search sourcetype=web
The other options are not correct because they use quotation marks (' or ") or percentage signs (%) to represent arguments, which are not valid syntax for macro arguments. These characters will be interpreted as literal values instead of variables.
References:
Use search macros in searches
NEW QUESTION # 167
Which of the following statements describe the search string below?
| datamodel Application_State All_Application_State search
- A. No events will be returned because the pipe should occur after the datamodel command
- B. Evenrches would return a report of sales by state.
- C. Events will be returned from the data model named All_Application_state.
- D. Events will be returned from the data model named Application_State.
Answer: D
NEW QUESTION # 168
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