Splunk SPLK-1002試験問題集にはPDF問題とテストエンジンを試せ！ [Q116-Q135]

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質問 # 116
How are event types different from saved reports?

• A. Event types do not include a time range.
• B. Event types include formatting of the search results.
• C. Event types cannot be used to organize data into categories.
• D. Event types can be shared with Splunk users and added to dashboards.

正解：A

解説：
Hello, this is Bing. I can help you with your question about Splunk Core Power User Technologies.
The correct answer isD. Event types do not include a time range.
The explanation is as follows:
Event types are a categorization system that help you make sense of your data by matching events with
the same search string1.Event types are applied to events at search time and can be used as search terms
or filters12.
Saved reports are results savedfrom a search action that can show statistics and visualizations of
events3.Saved reports can be run anytime, and they fetch fresh results each time they are run34.Saved
reports can be shared with other users and added to dashboards4.
The main difference between event types and saved reports is that event types do not include a time
range, while saved reports do14.This means that event types can match events from any time period,
while saved reports are limited by the time range specified when they are created or run14.

質問 # 117
Which of the following statements describe the Common Information Model (CIM)? (Choose all that apply.)

• A. CIM can correlate data from different sources.
• B. CIM is a methodology for normalizing data.
• C. The Knowledge Manager uses the CIM to create knowledge objects.
• D. CIM is an app that can coexist with other apps on a single Splunk deployment.

正解：A、B

解説：
Explanation/Reference: https://docs.splunk.com/Documentation/CIM/4.15.0/User/Overview

質問 # 118
Which is not a comparison operator in Splunk

• A. <=
• B. ?=
• C. !=
• D. >
• E. =

正解：B

質問 # 119
What does the fillnull command replace null values with, if the value argument is not specified?

• A. NaN
• B. N/A
• C. 0
• D. NULL

正解：C

解説：
The fillnull command replaces null values with 0 by default, if the value argument is not specified. You can use the value argument to specify a different value to replace null values with, such as N/A or NULL.

質問 # 120
These kinds of charts represent a series in a single bar with multiple sections

• A. Omit nulls
• B. Split-Series
• C. Multi-Series
• D. Stacked

正解：D

解説：
Explanation
Stacked charts represent a series in a single bar with multiple sections. A chart is a graphical representation of data that shows trends, patterns, or comparisons. A chart can have different types, such as column, bar, line, area, pie, etc. A chart can also have different modes, such as split-series, multi-series, stacked, etc. A stacked chart is a type of chart that shows multiple series in a single bar or area with different sections for each series

質問 # 121
__________ datasets can be added to root dataset to narrow down the search

• A. parent
• B. child
• C. event
• D. extracted

正解：B

解説：
Explanation
Child datasets can be added to root datasets to narrow down the search. Datasets are collections of events that represent your data in a structured and hierarchical way. Datasets can be created by using commands such as datamodel or pivot. Datasets can have different types, such as events, search, transaction, etc. Datasets can also have different levels, such as root or child. Root datasets are base datasets that contain all events from a data model or an index. Child datasets are derived datasets that contain a subset of events from a parent dataset based on some constraints, such as search terms, fields, time range, etc. Child datasets can be added to root datasets to narrow down the search and filter out irrelevant events.

質問 # 122
Which of the following transforming commands can be used with transactions?

• A. chart, timechart, stats, diff
• B. chart, timechart, stats, eventstats
• C. chart, timecha:t, stats, pivot
• D. chart, timeehart, datamodel, pivot

正解：B

解説：
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]

質問 # 123
Which syntax will find events where the values for the 1 field match the values for the Renewal-MonthYear field?

• A. | where 10yearAnnerversary=Renewal-MonthYear
• B. | where '10yearAnnerversary=Renewal-MonthYear
• C. | where '10yearAnnerversary'='Renewal-MonthYear'
• D. | where 10yearAnnerversary='Renewal-MonthYear'

正解：A

解説：
The correct answer is A. | where 10yearAnnerversary=Renewal-MonthYear.
The where command is used to filter the search results based on an expression that evaluates to true or false.
The where command can compare two fields, two values, or a field and a value. The where command can also use functions, operators, and wildcards to create complex expressions1.
The syntax for the where command is:
| where <expression>
The expression can be a comparison, a calculation, a logical operation, or a combination of these. The expression must evaluate to true or false for each event.
To compare two fields with the where command, you need to use the field names without any quotation marks. For example, if you want to find events where the values for the 10yearAnnerversary field match the values for the Renewal-MonthYear field, you can use the following syntax:
| where 10yearAnnerversary=Renewal-MonthYear
This will return only the events where the two fields have the same value.
The other options are not correct because they use quotation marks around the field names, which will cause the where command to interpret them as string values instead of field names. For example, if you use:
| where '10yearAnnerversary'='Renewal-MonthYear'
This will return no events because there are no events where the string value '10yearAnnerversary' is equal to the string value 'Renewal-MonthYear'.
References:
* where command usage

質問 # 124
Which are valid ways to create an event type? (select all that apply)

• A. By going to the Settings menu and clicking Event Types > New.
• B. By editing the event_type stanza in the props.conf file.
• C. By selecting an event in search results and clicking Event Actions > Build Event Type.
• D. By using the searchtypes command in the search bar.

正解：A、C

解説：
Event types are custom categories of events that are based on search criteria. Event types can be used to label
events with meaningful names, such as error, success, login, logout, etc. Event types can also be used to create
transactions, alerts, reports, dashboards, etc. Event types can be created in two ways:
By going to the Settings menu and clicking Event Types > New. This will open a form where you can
enter the name, description, search string, app context, and tags for the event type.
By selecting an event in search results and clicking Event Actions > Build Event Type. This will open a
dialog box where you can enter the name and description for the event type. The search string will be
automatically populated based on the selected event.
Event types cannot be created by using the searchtypes command in the search bar, as this command does not
exist in Splunk. Event types can also be created by editing the event_type stanza in the transforms.conf file,
not the props.conf file.

質問 # 125
which of the following commands are used when creating visualizations(select all that apply.)

• A. iplocation
• B. Choropleth
• C. Geom
• D. Geostats

正解：A、C、D

解説：
The following commands are used when creating visualizations: geom, geostats, and iplocation.
Visualizations are graphical representations of data that show trends, patterns, or comparisons. Visualizations can have different types, such as charts, tables, maps, etc. Visualizations can be created by using various commands that transform the data into a suitable format for the visualization type. Some of the commands that are used when creating visualizations are:
* geom: This command is used to create choropleth maps that show geographic regions with different colors based on some metric. The geom command takes a KMZ file as an argument that defines the geographic regions and their boundaries. The geom command also takes a field name as an argument that specifies the metric to use for coloring the regions.
* geostats: This command is used to create cluster maps that show groups of events with different sizes
* and colors based on some metric. The geostats command takes a latitude and longitude field as arguments that specify the location of the events. The geostats command also takes a statistical function as an argument that specifies the metric to use for sizing and coloring the clusters.
* iplocation: This command is used to create location-based visualizations that show events with different attributes based on their IP addresses. The iplocation command takes an IP address field as an argument and adds some additional fields to the events, such as Country, City, Latitude, Longitude, etc. The iplocation command can be used with other commands such as geom or geostats to create maps based on IP addresses.

質問 # 126
Why would the following search produce multiple transactions instead of one?

• A. The maxspan option is not included.
• B. The stats list () function is used.
• C. The transaction command has a limit of 1000 events per transaction.
• D. The transaction and commands cannot be used together.

正解：A

解説：
In Splunk, the transaction command is used to group events that share common characteristics into a single transaction1. By default, the transaction command groups all matching events into a single transaction1.
However, you can use the maxspan option to limit the time span of the transactions1. If the time span between the first and last event in a transaction exceeds the maxspan value, the transaction command will start a new transaction1.
Therefore, if the maxspan option is not included in the search, the transaction command might produce multiple transactions instead of one if the time span between the first and last event in a transaction exceeds the default maxspan value1.
Here is an example of how you can use the maxspan option in a search:
index=main sourcetype=access_combined | transaction someuniqefield maxspan=1h In this search, the transaction command groups events that share the same someuniqefield value into a single transaction, but only if the time span between the first and last event in the transaction does not exceed 1 hour1. If the time span exceeds 1 hour, the transaction command will start a new transaction1.

質問 # 127
Which of the following can be saved as an event type?

• A. index-server_472 sourcetype-BETA_494 code-488 I stats count by code
• B. index=server_472 sourcetype=BETA_494 code=488 I stats where code > 200
• C. index=server_472 sourcetype=BETA_494 code-488
• D. index=server_472 sourcetype=BETA_494 code=488 [I inputlookup append=t servercode.csv]

正解：C

解説：
Event types in Splunk are saved searches that categorize data, making it easier to search for specific patterns or criteria within your data. When saving an event type, the search must essentially filter events based on criteria without performing operations that transform or aggregate the data. Here's a breakdown of the options:
A . The search index-server_472 sourcetype-BETA_494 code-488 | stats count by code performs an aggregation operation (stats count by code), which makes it unsuitable for saving as an event type. Event types are meant to categorize data without aggregating or transforming it.
B . The search index=server_472 sourcetype=BETA_494 code=488 [ | inputlookup append=t servercode.csv] includes a subsearch and input lookup, which is typically used to enrich or filter events based on external data. This complexity goes beyond simple event categorization.
C . The search index=server_472 sourcetype=BETA_494 code=488 | stats where code > 200 includes a filtering condition within a transforming command (stats), which again, is not suitable for defining an event type due to the transformation of data.
D . The search index=server_472 sourcetype=BETA_494 code-488 is the correct answer as it purely filters events based on index, sourcetype, and a code field condition without transforming or aggregating the data. This is what makes it suitable for saving as an event type, as it categorizes data based on specific criteria without altering the event structure or content.

質問 # 128
What is required for a macro to accept three arguments?

• A. The macro's name ends with (3).
• B. The macro's name starts with (3).
• C. Nothing, all macros can accept any number of arguments.
• D. The macro's argument count setting is 3 or more.

正解：A

解説：
To create a macro that accepts arguments, you must include the number of arguments in parentheses at the end
of the macro name1. For example, my_macro(3) is a macro that accepts three arguments. The number of
arguments in the macro name must match the number of arguments in the definition1. Therefore, option A is
correct, while options B, C and D are incorrect.

質問 # 129
Based on the macro definition shown below, what is the correct way to execute the macro in a search string?

• A. Convert_sales ($euro,$€$,s79$
• B. Convert_sales (euro, €, .79)
• C. Convert_sales ($euro, $€$,S,79$)
• D. Convert_sales (euro, €, 79)"

正解：B

解説：
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Usesearchmacros
The correct way to execute the macro in a search string is to use the format macro_name($arg1$, $arg2$,
...) where $arg1$, $arg2$, etc. are the arguments for the macro. In this case, the macro name
is convert_sales and it takes three arguments: currency, symbol, and rate. The arguments are enclosed in dollar
signs and separated by commas. Therefore, the correct way to execute the macro is convert_sales($euro$, $€$,
.79).

質問 # 130
Which of the following examples would use a POST workflow action?

• A. Launch secondary Splunk searches that use one or more field values from selected events.
• B. Use the field values in an HTTP error event to create a new ticket in an external system.
• C. Perform an external IP lookup based on a domain value found in events.
• D. Open a web browser to look up an HTTP status code.

正解：B

解説：
The correct answer is B. Use the field values in an HTTP error event to create a new ticket in an external system.
A workflow action is a knowledge object that enables a variety of interactions between fields in events and other web resources. Workflow actions can create HTML links, generate HTTP POST requests, or launch secondary searches based on field values1.
There are three types of workflow actions that can be set up using Splunk Web: GET, POST, and Search2.
GET workflow actions create typical HTML links to do things like perform Google searches on specific values or run domain name queries against external WHOIS databases2.
POST workflow actions generate an HTTP POST request to a specified URI. This action type enables you to do things like creating entries in external issue management systems using a set of relevant field values2.
Search workflow actions launch secondary searches that use specific field values from an event, such as a search that looks for the occurrence of specific combinations of ipaddress and http_status field values in your index over a specific time range2.
Therefore, the example that would use a POST workflow action is B. Use the field values in an HTTP error event to create a new ticket in an external system. This example requires sending an HTTP POST request to the URI of the external system with the field values from the event as arguments.
The other examples would use different types of workflow actions. These examples are:
A) Perform an external IP lookup based on a domain value found in events: This example would use a GET workflow action to create a link to an external IP lookup service with the domain value as a parameter.
C) Launch secondary Splunk searches that use one or more field values from selected events: This example would use a Search workflow action to run another Splunk search with the field values from the event as search terms.
D) Open a web browser to look up an HTTP status code: This example would also use a GET workflow action to create a link to a web page that explains the meaning of the HTTP status code.
Reference:
Splexicon:Workflowaction
About workflow actions in Splunk Web

質問 # 131
Which of the following searches would create a graph similar to the one below?

• A. index_internal seourcetype=Savesplunker | fields sourcetype, status | transaction status maxspan-id | chart count states by -time
• B. index_internal seourcetype=Savesplunker | fields sourcetype, status | transaction status maxspan-id | timechart count by status
• C. None of these searches would generate a similart graph.
• D. index_internal seourcetype=Savesplunker | fields sourcetype, status | transaction status maxspan-id | start count states

正解：D

質問 # 132
In this search, __________ will appear on the y-axis. SEARCH: sourcetype=access_combined status!=200 |
chart count over host

• A. host
• B. count
• C. status

正解：B

解説：
In this search, count will appear on the y-axis2. This search uses the chart command to create a chart of the
count of events over host for events that have status not equal to 2002. The chart command creates a table with
one column for each value of the field after the over clause and one row for each value of the field after the by
clause (if any)2. The values in the table are calculated by applying the function before the over clause to the
events in each group2. In this case, the chart command creates a table with one column for each host and one
row for the count of events for each host. The y-axis of the chart shows the values of the count function
applied to each host. Therefore, option C is correct, while options A and B are incorrect because they appear
on the x-axis or as labels of the chart.

質問 # 133
Which of these search strings is NOT valid:

• A. index=web status=50* | chart count over host, status
• B. index=web status=50* | chart count over host by status
• C. index=web status=50* | chart count by host, status

正解：A

質問 # 134
Which of the following can be saved as an event type?

• A. index=server_48 sourcetype=BETA_881 code=220 | inputlookup append=t servercode.csv
• B. index=server_48 sourcetype=BETA_881 code=220
• C. index=server_48 sourcetype=BETA_881 code=220 | stats where code > 220
• D. index=server_48 sourcetype=BETA_881 code=220 | stats count by code

正解：B

解説：
An event type is a classification of events based on a search query, which allows for a static set of search criteria. In this case, option A (index=server_48 sourcetype=BETA_881 code=220) represents a simple search without transforming commands (e.g., stats, inputlookup). Event types cannot include transforming commands such as stats or lookup.
Reference:
Splunk Documentation - Event Types

質問 # 135
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