[2024年11月] 検証済み Splunk SPLK-1002 リアル豪華お試しセット試験問題集 PDF [Q18-Q40]

[2024年11月] 検証済みSplunk SPLK-1002リアル豪華お試しセット試験問題集でPDF

SPLK-1002問題集PDF最新 [2024年最新] 究極の学習ガイド

質問 # 18
What do events in a transaction have In common?

• A. All events in a transaction must have the same sourcetype.
• B. All events In a transaction must have the same timestamp.
• C. All events in a transaction must be related by one or more fields.
• D. All events in a transaction must have the exact same set of fields.

正解：C

質問 # 19
Which of the following statements describes field aliases?

• A. Field aliases only normalize data across sources and sourcetypes.
• B. Field aliases can be used in lookup file definitions.
• C. Field alias names replace the original field name.
• D. Field alias names are not case sensitive when used as part of a search.

正解：B

解説：
Explanation
Field aliases are alternative names for fields in Splunk. Field aliases can be used to normalize data across different sources and sourcetypes that have different field names for the same concept. For example, you can create a field alias for src_ip that maps to clientip, source_address, or any other field name that represents the source IP address in different sourcetypes. Field aliases can also be used in lookup file definitions to map fields in your data to fields in the lookup file. For example, you can use a field alias for src_ip to map it to ip_address in a lookup file that contains geolocation information for IP addresses. Field alias names do not replace the original field name, but rather create a copy of the field with a different name. Field alias names are case sensitive when used as part of a search, meaning that src_ip and SRC_IP are different fields.

質問 # 20
A data model consists of which three types of datasets?

• A. Constraint, field, value.
• B. Transaction, session ID, metadata.
• C. Events, searches, transactions.
• D. Field extraction, regex, delimited.

正解：C

解説：
Explanation
The building block of a data model. Each data model is composed of one or more data model datasets. Each dataset within a data model defines a subset of the dataset represented by the data model as a whole.
Data model datasets have a hierarchical relationship with each other, meaning they have parent-child relationships. Data models can contain multiple dataset hierarchies. There are three types of dataset hierarchies: event, search, and transaction.
https://docs.splunk.com/Splexicon:Datamodeldataset

質問 # 21
Which of the following statements describes POST workflow actions?

• A. By default, POST workflow action are shown in both the event and field menus.
• B. POST workflow actions can be configured to send POST arguments to the URI location.
• C. POST workflow actions can be configured to send email to the URI location.
• D. Configuration of a POST workflow action includes choosing a sourcetype.

正解：A

解説：
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/SetupaPOSTworkflowaction

質問 # 22
Which of the following is included with the Common Information Model (CIM) add-on?

• A. Workflow actions
• B. Event category tags
• C. Search macros
• D. tsidx files

正解：B

解説：
The correct answer is B. Event category tags. This is because the CIM add-on contains a collection of preconfigured data models that you can apply to your data at search time. Each data model in the CIM consists of a set of field names and tags that define the least common denominator of a domain of interest. Event category tags are used to classify events into high-level categories, such as authentication, network traffic, or web activity. You can use these tags to filter and analyze events based on their category. You can learn more about event category tags from the Splunk documentation12. The other options are incorrect because they are not included with the CIM add-on. Search macros are reusable pieces of search syntax that you can invoke from other searches. They are not specific to the CIM add-on, although some Splunk apps may provide their own search macros. Workflow actions are custom links or scripts that you can run on specific fields or events.
They are also not specific to the CIM add-on, although some Splunk apps may provide their own workflow actions. tsidx files are index files that store the terms and pointers to the raw data in Splunk buckets. They are part of the Splunk indexing process and have nothing to do with the CIM add-on.

質問 # 23
For the following search, which field populates the x-axis?
index=security sourcetype=linux secure | timechart count by action

• A. time
• B. _time
• C. action
• D. source type

正解：B

解説：
The correct answer is C. _time.
The timechart command creates a time series chart with corresponding table of statistics, with time used as the X-axis1. You can specify a split-by field, where each distinct value of the split-by field becomes a series in the chart1. In this case, the split-by field is action, which means that the chart will have different lines for different actions, such as accept, reject, or fail2. The count function will calculate the number of events for each action in each time bin1.
For example, the following image shows a timechart of the count by action for a similar search3:
As you can see, the x-axis is populated by the _time field, which represents the time range of the search. The y-axis is populated by the count function, which represents the number of events for each action. The legend shows the different values of the action field, which are used to split the chart into different series.
Reference:
2: Timechart Command In Splunk With Example - Mindmajix 1: timechart - Splunk Documentation 3:
timechart command examples - Splunk Documentation

質問 # 24
What commands can be used to group events from one or more data sources?

• A. eval, coalesce
• B. transaction, stats
• C. stats, format
• D. top, rare

正解：B

解説：
The transaction and stats commands are two ways to group events from one or more data sources based on common fields or time ranges. The transaction command creates a single event out of a group of related events, while the stats command calculates summary statistics over a group of events. The eval and coalesce commands are used to create or combine fields, not to group events. The format command is used to format the results of a subsearch, not to group events. The top and rare commands are used to rank the most or least common values of a field, not to group events23
1: Splunk Core Certified Power User Track, page 9. 2: Splunk Documentation, transaction command. 3: Splunk Documentation, stats command.

質問 # 25
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.

正解：A、C

質問 # 26
Data model fields can be added using the Auto-Extracted method. Which of the following statements describe Auto-Extracted fields? (select all that apply)

• A. Auto-Extracted fields can have their data type changed.
• B. Auto-Extracted fields can be added if they already exist in the dataset with constraints.
• C. Auto-Extracted fields can be given a friendly name for use in Pivot.
• D. Auto-Extracted fields can be hidden in Pivot.

正解：A、B、C、D

質問 # 27
Which field extraction method should be selected for comma-separated data?

• A. eval expression
• B. Regular expression
• C. table extraction
• D. Delimiters

正解：D

解説：
Explanation
The correct answer is B. Delimiters. This is because the delimiters method is designed for structured event data, such as data from files with headers, where all of the fields in the events are separated by a common delimiter, such as a comma or space. You can select a sample event, identify the delimiter, and then rename the fields that the field extractor finds. You can learn more about the delimiters method from the Splunk documentation1. The other options are incorrect because they are not suitable for comma-separated data. The regular expression method works best with unstructured event data, where you select and highlight one or more fields to extract from a sample event, and the field extractor generates a regular expression that matches similar events and extracts the fields from them. The eval expression is a command that lets you calculate new fields or modify existing fields using arithmetic, string, and logical operations. The table extraction is a feature that lets you extract tabular data from PDF files or web pages. You can learn more about these methods from the Splunk documentation23 .

質問 # 28
Which of the following statements about event types is true? (select all that apply)

• A. Event types can be tagged.
• B. Event types categorize events based on a search.
• C. Event types must include a time range,
• D. Event types can be a useful method for capturing and sharing knowledge.

正解：A、B、D

解説：
Reference:https://www.edureka.co/blog/splunk-events-event-types-and-tags/
As mentioned before, an event type is a way to categorize events based on a search string that matches the
events2. Event types can be tagged, which means that you can apply descriptive labels to event types and use
them in your searches2. Therefore, option A is correct. Event types categorize events based on a search string,
which means that you can define an event type by specifying a search string that matches the events you want
to include in the event type2. Therefore, option C is correct. Event types can be a useful method for capturing
and sharing knowledge, which means that you can use event types to organize your data into meaningful
categories and share them with other users in your organization2. Therefore, option D is correct. Event types
do not have to include a time range, which means that you can create an event type without specifying a time
range for the events2. Therefore, option B is incorrect.

質問 # 29
Which of the following eval commands will provide a new value for host from src if it exists?

• A. | eval host = if (src = host, src, host)
• B. | eval host = if (isnotnull (src), src, host)
• C. | eval host = if (NOT src = host, src, host)
• D. | eval host = if (isnu11 (src), src, host)

正解：B

解説：
The eval command is a Splunk command that allows you to create or modify fields using expressions .
The if function is an expression that evaluates a condition and returns a value based on whether the condition is true or false. The syntax of the if function is if(X,Y,Z), where X is the condition, Y is the value to return if X is true, and Z is the value to return if X is false.
The isnotnull function is an expression that returns true if the argument is not null, and false otherwise.
The syntax of the isnotnull function is isnotnull(X), where X is the argument to check.
Therefore, the expression if (isnotnull (src), src, host) returns the value of src if it is not null, and the value of host otherwise. This means that it will provide a new value for host from src if it exists, and keep the original value of host otherwise.

質問 # 30
In this search, __________ will appear on the y-axis. SEARCH: sourcetype=access_combined status!=200 |
chart count over host

• A. count
• B. host
• C. status

正解：A

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 # 31
What is required for a macro to accept three arguments?

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

正解：B

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 # 32
In the Field Extractor, when would the regular expression method be used?

• A. When events contain JSON data.
• B. When events contain unstructured data.
• C. When events contain table-based data.
• D. When events contain comma-separated data.

正解：B

解説：
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

質問 # 33
How does a user display a chart in stack mode?

• A. By turning on the Use Trellis Layout option.
• B. By changing Stack Mode in the Format menu.
• C. By using the stack command.
• D. You cannot display a chart in stack mode, only a timechart.

正解：A

質問 # 34
When extracting fields, we may choose to use our own regular expressions

• A. False
• B. True

正解：B

質問 # 35
This tab shows you the event patterns in the results of a specific search.

• A. patterns
• B. visualization
• C. statistics

正解：A

質問 # 36
The Splunk CIM Add-on includes data models in a __________ format.
Select your answer.

• A. MySQL
• B. JSON
• C. XML

正解：B

質問 # 37
Which search would limit an "alert" tag to the "host" field?

• A. host::tag::alert
• B. tag=alert
• C. tag==alert
• D. tag::host=alert

正解：D

質問 # 38
A calculated field is a shortcut for performing repetitive, long, or complex transformations using which of the following commands?

• A. stats
• B. lookup
• C. transaction
• D. eval

正解：D

解説：
The correct answer is D. eval.
A calculated field is a field that is added to events at search time by using an eval expression. A calculated field can use the values of two or more fields that are already present in the events to perform calculations. A calculated field can be defined with Splunk Web or in the props.conf file. They can be used in searches, reports, dashboards, and data models like any other extracted field1.
A calculated field is a shortcut for performing repetitive, long, or complex transformations using the eval command. The eval command is used to create or modify fields by using expressions. The eval command can perform mathematical, string, date and time, comparison, logical, and other operations on fields or values2.
For example, if you want to create a new field named total that is the sum of two fields named price and tax, you can use the eval command as follows:
| eval total=price+tax
However, if you want to use this new field in multiple searches, reports, or dashboards, you can create a calculated field instead of writing the eval command every time. To create a calculated field with Splunk Web, you need to go to Settings > Fields > Calculated Fields and enter the name of the new field (total), the name of the sourcetype (sales), and the eval expression (price+tax). This will create a calculated field named total that will be added to all events with the sourcetype sales at search time. You can then use the total field like any other extracted field without writing the eval expression1.
The other options are not correct because they are not related to calculated fields. These options are:
A) transaction: This command is used to group events that share some common values into a single record, called a transaction. A transaction can span multiple events and multiple sources, and can be useful for correlating events that are related but not contiguous3.
B) lookup: This command is used to enrich events with additional fields from an external source, such as a CSV file or a database. A lookup can add fields to events based on the values of existing fields, such as host, source, sourcetype, or any other extracted field.
C) stats: This command is used to calculate 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 fields.
Reference:
About calculated fields
eval command overview
transaction command overview
[lookup command overview]
[stats command overview]

質問 # 39
What is the correct syntax to search for a tag associated with a value on a specific fiedsd?

• A. Tag=<filed>::<tagname>
• B. Tag-<field?
• C. Tag<filed(tagname.)
• D. Tag::<filed>=<tagname>

正解：D

質問 # 40
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