Practice Free SPLK-1002 Exam Online Questions
Question #41
What is the relationship between data models and pivots?
- A . Data models provide the datasets for pivots.
- B . Pivots and data models have no relationship.
- C . Pivots and data models are the same thing.
- D . Pivots provide the datasets for data models.
Correct Answer: A
A
Explanation:
The relationship between data models and pivots is that data models provide the datasets for pivots. 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. Pivots are user interfaces that allow you to create data visualizations that present different aspects of a data model. Pivots let you select options from menus and forms to create charts, tables, maps, etc., without writing any SPL code. Pivots use datasets from data models as their source of data. Pivots and data models are not the same thing, as pivots are tools for visualizing data models. Pivots do not provide datasets for data models, but rather use them as inputs.
Therefore, only statement A is true about the relationship between data models and pivots.
A
Explanation:
The relationship between data models and pivots is that data models provide the datasets for pivots. 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. Pivots are user interfaces that allow you to create data visualizations that present different aspects of a data model. Pivots let you select options from menus and forms to create charts, tables, maps, etc., without writing any SPL code. Pivots use datasets from data models as their source of data. Pivots and data models are not the same thing, as pivots are tools for visualizing data models. Pivots do not provide datasets for data models, but rather use them as inputs.
Therefore, only statement A is true about the relationship between data models and pivots.
Question #42
Clicking a SEGMENT on a chart, ________.
- A . drills down for that value
- B . highlights the field value across the chart
- C . adds the highlighted value to the search criteria
Correct Answer: C
Question #43
What is the correct way to name a macro with two arguments?
- A . us_sales2
- B . us_sales(1,2)
- C . us_sale,2
- D . us_sales(2)
Correct Answer: D
Question #44
When defining a macro, what are the required elements?
- A . Name and arguments.
- B . Name and a validation error message.
- C . Name and definition.
- D . Definition and arguments.
Correct Answer: C
C
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.
C
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.
Question #45
The macro weekly_sales (2) contains the search string:
index―games I eval Product Sales = $price$ $AmountS01d$
Which of the following will return results?
- A . ‘weekly_sales(3.99, 10) ‘
- B . ‘weekly_sales($3.99$, $10$)
- C . ‘weekly_sales (3.99, 10)
- D . ‘weekly_sales(3)
Correct Answer: C
C
Explanation:
The correct answer is
C. ‘weekly_sales (3.99, 10)’. This is because search macros accept arguments without quotation marks or dollar signs, and the number of arguments must match the number of parameters defined in the macro. The other options are incorrect because they either use quotation marks or dollar signs around the arguments, or they provide a different number of arguments than the macro expects. You can learn more about how to use search macros in searches from the Splunk documentation1.
C
Explanation:
The correct answer is
C. ‘weekly_sales (3.99, 10)’. This is because search macros accept arguments without quotation marks or dollar signs, and the number of arguments must match the number of parameters defined in the macro. The other options are incorrect because they either use quotation marks or dollar signs around the arguments, or they provide a different number of arguments than the macro expects. You can learn more about how to use search macros in searches from the Splunk documentation1.
Question #46
Which knowledge object is used to normalize field names to comply with the Splunk Common Information Model (CIM)?
- A . Field alias
- B . Event types
- C . Search workflow action
- D . Tags
Correct Answer: A
A
Explanation:
The correct answer is
A) Field alias123.
In Splunk, a field alias is a knowledge object that you can use to assign an alternate name to a field3. This can be particularly useful when you want to normalize your data to comply with the Splunk Common Information Model (CIM)12.
The CIM provides a methodology for normalizing values to a common field name1. It acts as a search-time schema to define relationships in the event data while leaving the raw machine data intact2. By using field aliases, you can map vendor fields to common fields that are the same for each data source in a given domain4. This allows you to correlate events from different source types by normalizing these different occurrences to a common structure and naming convention1.
A
Explanation:
The correct answer is
A) Field alias123.
In Splunk, a field alias is a knowledge object that you can use to assign an alternate name to a field3. This can be particularly useful when you want to normalize your data to comply with the Splunk Common Information Model (CIM)12.
The CIM provides a methodology for normalizing values to a common field name1. It acts as a search-time schema to define relationships in the event data while leaving the raw machine data intact2. By using field aliases, you can map vendor fields to common fields that are the same for each data source in a given domain4. This allows you to correlate events from different source types by normalizing these different occurrences to a common structure and naming convention1.
Question #47
A data model can consist of what three types of datasets?
- A . Pivot, searches, and events.
- B . Pivot, events, and transactions.
- C . Searches, transactions, and pivot.
- D . Events, searches, and transactions.
Correct Answer: D
Question #48
To create a tag, which of the following conditions must be met by the user?
- A . Identify at least one field:value pair.
- B . Have the Power role at a minimum.
- C . Be able to edit the sourcetype the tag applies to.
- D . Must have the tag capability associated with their user role.
Correct Answer: D
D
Explanation:
To create a tag, the user must have the tag capability associated with their user role. The tag capability allows the user to create, edit, and delete tags. The user does not need to identify a field:value pair, have the Power role, or be able to edit the sourcetype the tag applies to.
Reference
See Define and manage tags in Settings and [About capabilities] in the Splunk Documentation.
D
Explanation:
To create a tag, the user must have the tag capability associated with their user role. The tag capability allows the user to create, edit, and delete tags. The user does not need to identify a field:value pair, have the Power role, or be able to edit the sourcetype the tag applies to.
Reference
See Define and manage tags in Settings and [About capabilities] in the Splunk Documentation.
Question #49
Which command can include both an over and a by clause to divide results into sub-groupings?
- A . chart
- B . stats
- C . xyseries
- D . transaction
Correct Answer: A
Question #50
Which of the following can be saved as an event type?
- A . index=server sourcetype=BETA_718 code=UB9 | stats count by code
- B . index=server_494 sourcetype=BETA_718 code=889
- C . index=server_494 sourcetype=BETA_718 code=839 stats where code > 203
- D . index=server_494 sourcetype=BETA_718 code=839 | inputlookup append=t servercode.csv
Correct Answer: B
B
Explanation:
An event type in Splunk is essentially a saved search with specific conditions.
It must meet the following criteria:
The search cannot include transforming commands like stats, inputlookup, or where.
It should define a clear pattern of events to match.
Explanation of each option:
A: Includes stats count by code, which is a transforming command. This cannot be saved as an event type.
B: Contains only search criteria (index, sourcetype, and code). This can be saved as an event type.
C: Includes stats and a conditional filter (where), which are not valid for event types.
D: Includes inputlookup, a transforming command, so it cannot be saved as an event type.
Reference: Splunk Docs – Event Types
B
Explanation:
An event type in Splunk is essentially a saved search with specific conditions.
It must meet the following criteria:
The search cannot include transforming commands like stats, inputlookup, or where.
It should define a clear pattern of events to match.
Explanation of each option:
A: Includes stats count by code, which is a transforming command. This cannot be saved as an event type.
B: Contains only search criteria (index, sourcetype, and code). This can be saved as an event type.
C: Includes stats and a conditional filter (where), which are not valid for event types.
D: Includes inputlookup, a transforming command, so it cannot be saved as an event type.
Reference: Splunk Docs – Event Types