Updated Jan-2025 Pass SPLK-1002 Exam - Real Practice Test Questions
Download Free Splunk SPLK-1002 Real Exam Questions
NEW QUESTION # 116
Which of the following transforming commands can be used with transactions?
chart, timechart, stats, eventstats
chart, timechart, stats, diff
chart, timeehart, datamodel, pivot
chart, timecha:t, stats, pivot
- A. chart, timechart, stats, eventstats.
Answer: A
Explanation:
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.
Explanation:
The correct answer is
Reference:
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 # 117
Which of the following is a feature of the Pivot tool?
- A. Data Models are not required.
- B. Datasets are not required.
- C. Creates lookups without using SPL.
- D. Creates reports without using SPL
Answer: D
Explanation:
The correct answer is C. Creates reports without using SPL. This is because the Pivot tool is a feature of
Splunk that allows you to report on a specific data set without using the SplunkSearch Processing Language
(SPL). 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 visualizations.You can learn more about the Pivot tool from
the Splunk documentation1or watch a video tutorial2. The other options are incorrect because they do not
describe the features of the Pivot tool. The Pivot tool requires data models and datasets to define the data that
you want to work with. Data models and datasets are designed by the knowledge managers in your
organization.You can learn more about data models and datasets from the Splunk documentation3. The Pivot
tool does not create lookups, which are tables that match field values to other field values. You can create
lookups using SPL or the Lookup Editor. You can learn more about lookups from the Splunk documentation.
NEW QUESTION # 118
When creating a data model, which root dataset requires at least one constraint?
- A. Root child dataset
- B. Root transaction dataset
- C. Root search dataset
- D. Root event dataset
Answer: D
Explanation:
The correct answer is B. Root event dataset. This is because root event datasets are defined by a constraint that
filters out events that are not relevant to the dataset. A constraint for a root event dataset is a simple search that
returns a fairly wide range of data, such assourcetype=access_combined. Without a constraint, a root event
dataset would include all the events in the index, which is not useful for data modeling.You can learn more
about how to design data models and add root event datasets from the Splunk documentation1. The other
options are incorrect because root transaction datasets and root search datasets have different ways of defining
their datasets, such as transaction definitions or complex searches, and root child datasets are not a valid type
of root dataset.
NEW QUESTION # 119
Which of the following search modes automatically returns all extracted fields in the fields sidebar?
- A. Smart
- B. C. Verbose
- C. Fast
Answer: B
NEW QUESTION # 120
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 | filed web *
- B. | datamodel web web field | search web*
- C. | Search datamodel web web | filed web*
- D. Datamodel=web | search web | filed web*
Answer: A
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 # 121
When used with the timechart command, which value of the limit argument returns all values?
- A. limit=*
- B. limit=all
- C. limit=none
- D. limit=0
Answer: D
Explanation:
The correct answer is D. limit=0. This is because the limit argument specifies the maximum number of series to display in the chart. If you set limit=0, no series filtering occurs and all values are returned. You can learn more about the limit argument and how it works with the agg argument from the Splunk documentation1. The other options are incorrect because they are not valid values for the limit argument. The limit argument expects an integer value, not a string or a wildcard. You can learn more about the syntax and usage of the timechart command from the Splunk documentation23.
NEW QUESTION # 122
After you create a pivot you can save it as a __________. (Select all that apply.)
- A. dashboard panel
- B. report
- C. tag
- D. eventtype
Answer: A,B
NEW QUESTION # 123
Which of the following searches would create a graph similar to the one below?
index=_internal sourcetype=SavedSplunker | fields sourcetype, status |
- A. transaction status maxspan=1d | chart count OVER status by _time
index=_internal sourcetype=SavedSplunker | fields sourcetype, status | - B. transaction status maxspan=1d | timechart count by status
- C. transaction status maxspan=1d | stats count by status
index=_internal sourcetype=SavedSplunker | fields sourcetype, status | - D. None of these searches would generate a similar graph.
Answer: D
Explanation:
None of these functions related to the graph in exhibit. All of these functions have maxspan=ld which is not a valid argument.
NEW QUESTION # 124
Data model are composed of one or more of which of the following datasets? (select all that apply.)
- A. Transaction datasets
- B. Any child of event, transaction, and search datasets
- C. Search datasets
- D. Events datasets
Answer: A,C,D
Explanation:
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Aboutdatamodels Data models are collections of datasets that represent your data in a structured and hierarchical way. Data models define how your data is organized into objects and fields. Data models can be composed of one or more of the following datasets:
Events datasets: These are the base datasets that represent raw events in Splunk. Events datasets can be filtered by constraints, such as search terms, sourcetypes, indexes, etc.
Search datasets: These are derived datasets that represent the results of a search on events or other datasets.
Search datasets can use any search command, such as stats, eval, rex, etc., to transform the data.
Transaction datasets: These are derived datasets that represent groups of events that are related by fields, time, or both. Transaction datasets can use the transaction command or event types with transactiontype=true to create transactions.
NEW QUESTION # 125
During the validation step of the Field Extractor workflow:
Select your answer.
- A. You can remove values that aren't a match for the field you want to define
- B. You cannot modify the field extraction
- C. You can validate where the data originated from
Answer: A
Explanation:
During the validation step of the Field Extractor workflow, you can remove values that aren't a match for the
field you want to define2. The validation step allows you to review and edit the values that have been
extracted by the FX and make sure they are correct and consistent2. You can remove values that aren't a
match by clicking on them and selecting Remove Value from the menu2. This will exclude them from your
field extraction and update the regular expression accordingly2. Therefore, option A is correct, while options
B and C are incorrect because they are not actions that you can perform during the validation step of the Field
Extractor workflow.
NEW QUESTION # 126
Which one of the following statements about the search command is true?
- A. It treats field values in a case-sensitive manner.
- B. It behaves exactly like search strings before the first pipe.
- C. It does not allow the use of wildcards.
- D. It can only be used at the beginning of the search pipeline.
Answer: D
NEW QUESTION # 127
O: 97
which of the following are valid options with the chart command
- A. useother
- B. fillfield
- C. usenull
- D. usefiled
Answer: A,C
NEW QUESTION # 128
Which of the following can be used with the eval command tostring function (select all that apply)
- A. ''duration''
- B. ''Decimal''
- C. ''commas''
- D. ''hex''
Answer: A,C,D
Explanation:
https://docs.splunk.com/Documentation/Splunk/8.1.0/SearchReference/ConversionFunctions#tostring.28X.2CY.29
NEW QUESTION # 129
Which of the following statements describes the use of the Field Extractor (FX)?
- A. Fields extracted using the Field Extractor do not persist and must be defined for each search.
- B. Fields extracted using the Field Extractor persist as knowledge objects.
- C. The Field Extractor automatically extracts all fields at search time.
- D. The Field Extractor uses PERL to extract fields from the raw events.
Answer: A
NEW QUESTION # 130
Which of the following statements describes Search workflow actions?
- A. The user can define the time range of the search when created the workflow action.
- B. Search workflow actions can be configured as scheduled searches,
- C. Search workflow actions cannot be configured with a search string that includes the transaction command
- D. By default. Search workflow actions will run as a real-time search.
Answer: A
NEW QUESTION # 131
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The SPLK-1002 exam is intended for power users who want to validate their expertise in using Splunk Core. SPLK-1002 exam measures the candidate's ability to perform advanced search techniques, create dashboards, and optimize search performance. SPLK-1002 exam is a proctored, multiple-choice format, and candidates have 90 minutes to complete it.
To prepare for the Splunk SPLK-1002 exam, candidates can take advantage of various resources provided by Splunk, such as online training courses, practice exams, and study guides. Additionally, candidates can gain practical experience by working with Splunk software in a real-world setting, such as in an IT or security operations center.
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