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NEW QUESTION # 163
In which of the following scenarios is an event type more effective than a saved search?
- A. When a search should always include the same time range.
- B. When formatting needs to be included with the search string.
- C. When a search needs to be added to other users' dashboards.
- D. When the search string needs to be used in future searches.
Answer: C
Explanation:
Reference:
https://answers.splunk.com/answers/4993/eventtype-vs-saved-search.html
NEW QUESTION # 164
Splunk alerts can be based on search that run______. (Select all that apply.)
- A. in real-time
- B. on a regular schedule
- C. and have no matching events
Answer: A,B
NEW QUESTION # 165
When would a user select delimited field extractions using the Field Extractor (FX)?
- A. When a log file contains empty lines or comments.
- B. When the file has a header that might provide information about its structure or format.
- C. When a log file has values that are separated by the same character, for example, commas.
- D. With structured files such as JSON or XML.
Answer: C
Explanation:
The correct answer is A. When a log file has values that are separated by the same character, for example, commas.
The Field Extractor (FX) is a utility in Splunk Web that allows you to create new fields from your events by using either regular expressions or delimiters. The FX provides a graphical interface that guides you through the steps of defining and testing your field extractions1.
The FX supports two field extraction methods: regular expression and delimited. The regular expression method works best with unstructured event data, such as logs or messages, that do not have a consistent format or structure. You select a sample event and highlight one or more fields to extract from that event, and the FX generates a regular expression that matches similar events in your data set and extracts the fields from them1.
The delimited 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, a tab, or a space. You select a sample event, identify the delimiter, and then rename the fields that the FX finds1.
Therefore, you would select the delimited field extraction method when you have a log file that has values that are separated by the same character, for example, commas. This method will allow you to easily extract the fields based on the delimiter without writing complex regular expressions.
The other options are not correct because they are not suitable for the delimited field extraction method. These options are:
* B. When a log file contains empty lines or comments: This option does not indicate that the log file has a structured format or a common delimiter. The delimited method might not work well with this type of data, as it might miss some fields or include some unwanted values.
* C. With structured files such as JSON or XML: This option does not require the delimited method, as Splunk can automatically extract fields from JSON or XML files by using indexed extractions or search-time extractions2. The delimited method might not work well with this type of data, as it might not recognize the nested structure or the special characters.
* D. When the file has a header that might provide information about its structure or format: This option does not indicate that the file has a common delimiter between the fields. The delimited method might not work well with this type of data, as it might not be able to identify the fields based on the header information.
References:
* Build field extractions with the field extractor
* Configure indexed field extraction
NEW QUESTION # 166
Which of the following statements is true, especially in largo environments?
- A. Use the scats command when you next to group events by two or more fields.
- B. The transaction command is faster and more efficient than the stats command.
- C. Use the transaction command when you want to see the results of a calculation.
- D. The scats command is faster and more efficient than the transaction command
Answer: B
NEW QUESTION # 167
Which of the following knowledge objects represents the output of an oval expression?
- A. Eval fields
- B. Calculated lookups
- C. Calculated fields
- D. Field extractions
Answer: D
NEW QUESTION # 168
Data model are composed of one or more of which of the following datasets? (select all that apply.)
- A. Events datasets
- B. Any child of event, transaction, and search datasets
- C. Transaction datasets
- D. Search datasets
Answer: A,C,D
NEW QUESTION # 169
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
Answer: B
Explanation:
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.
NEW QUESTION # 170
How are event types different from saved reports?
- A. Event types can be shared with Splunk users and added to dashboards.
- B. Event types do not include a time range.
- C. Event types cannot be used to organize data into categories.
- D. Event types include formatting of the search results.
Answer: B
Explanation:
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The correct answer is D. 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 saved from 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.
NEW QUESTION # 171
Splunk alerts can be based on search that run______. (Select all that apply.)
- A. in real-time
- B. on a regular schedule
- C. and have no matching events
Answer: A,B
Explanation:
Splunk alerts can be based on searches that run in real-time or on a regular schedule3. An alert is a way to monitor your data and get notified when certain conditions are met3. You can create an alert by specifying a search and a triggering condition3. You can also specify how often you want to run the search and how you want to receive the alert notifications3. You can run the alert search in real-time, which means that it continuously monitors your data as it streams into Splunk3. Alternatively, you can run the alert search on a regular schedule, which means that it runs at fixed intervals such as every hour or every day3. Therefore, options A and B are correct, while option C is incorrect because it is not a way to run an alert search.
NEW QUESTION # 172
Which statement is true?
- A. In most cases, each Splunk user will create their own data model.
- B. Pivot is used for creating reports and dashboards.
- C. Pivot is used for creating datasets.
- D. Data models are randomly structured datasets.
Answer: B
Explanation:
The statement that pivot is used for creating reports and dashboards is true. Pivot is a graphical interface that allows you to create tables, charts, and visualizations from data models. Data models are structured datasets that define how data is organized and categorized. Pivot does not create datasets, but uses existing ones.
NEW QUESTION # 173
Which of the following is true about data sets used in the Pivot tool?
- A. They can only be created from summary indexes.
- B. They can only be created from saved reports.
- C. They can only be created by users with the Admin role.
- D. They can only be created from data models.
Answer: D
Explanation:
In Splunk, data sets used in the Pivot tool are derived from data models. The Pivot tool allows users to create reports and visualizations based on the structured information available in data models.
References:
* Splunk Docs - Pivot tool
NEW QUESTION # 174
What is required for a macro to accept three arguments?
- A. The macro's argument count setting is 3 or more.
- B. The macro's name starts with (3).
- C. The macro's name ends with (3).
- D. Nothing, all macros can accept any number of arguments.
Answer: C
Explanation:
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.
NEW QUESTION # 175
What are the expected search results from executing the following SPL command?
index=network NOT StatusCode=200
- A. Every event in the network index that does not have a value in this field.
- B. Every event in the network index that does not contain a StatusCode of 200 and excluding events that do not have a value in this field.
- C. Every event in the network index that does not contain a StatusCode of 200, including events that do not have a value in this field.
- D. No results as the syntax is incorrect, the != field expression needs to be used instead of the NOT operator.
Answer: C
Explanation:
In Splunk, the NOT operator is used to exclude events from your search results. The search index=network NOT StatusCode=200 will return all events in the 'network' index where the StatusCode is not 200. This includes events where the StatusCode field is present and has a value other than 200, as well as events where the StatusCode field is not present at all.
References:The use of the NOT operator in SPL (Search Processing Language) is consistent with the information provided in the Splunk documentation and resources, which describe how to generate efficient searches and make the most of Splunk's capabilities
NEW QUESTION # 176
What does the transaction command do?
- A. Creates a single event from a group of events.
- B. Groups a set of transactions based on time.
- C. Returns the number of credit card transactions found in the event logs.
- D. Separates two events based on one or more values.
Answer: A
Explanation:
The transaction command is a search command that creates a single event from a group of events that share
some common characteristics. The transaction command can group events based on fields, time, or both. The
transaction command can also create some additional fields for each transaction, such
as duration, eventcount, startime, etc. The transaction command does not group a set of transactions based on
time, but rather groups a set of events into a transaction based on time. The transaction command does not
separate two events based on one or more values, but rather joins multiple events based on one or more values.
The transaction command does not return the number of credit card transactions found in the event logs, but
rather creates transactions from the events that match the search criteria.
NEW QUESTION # 177
Which function should you use with the transaction command to set the maximum total time between the
earliest and latest events returned?
- A. maxpause
- B. endswith
- C. maxduration
- D. maxspan
Answer: D
Explanation:
The maxspan function of the transaction command allows you to set the maximum total time between the
earliest and latest events returned. The maxspan function is an argument that can be used with the transaction
command to specify the start and end constraints for the transactions. The maxspan function takes a time
modifier as its value, such as 30s, 5m, 1h, etc. The maxspan function sets the maximum time span between the
first and last events in a transaction. If the time span between the first and last events exceeds the maxspan
value, the transaction will be split into multiple transactions.
NEW QUESTION # 178
Which of the following statements describes this search?
sourcetype=access_combined I transaction JSESSIONID | timechart avg (duration)
- A. No results will be returned because the transaction command must include the startswith and endswith
options. - B. This is a valid search and will display a stats table showing the maximum pause among transactions.
- C. This is a valid search and will display a timechart of the average duration, of each transaction event.
- D. No results will be returned because the transaction command must be the last command used in the search pipeline.
Answer: C
Explanation:
This search uses the transaction command to group events that share a common value for JSESSIONID into
transactions1. The transaction command assigns a duration field to each transaction, which is the difference
between the latest and earliest timestamps of the events in the transaction1. The search then uses the timechart
command to create a time-series chart of the average duration of each transaction1. Therefore, option A is
correct because it describes the search accurately. Option B is incorrect because the search does not use the
stats command or the pause field. Option C is incorrect because the transaction command does not require the
startswith and endswith options, although they can be used to specify how to identify the beginning and end of
a transaction1. Option D is incorrect because the transaction command does not have to be the last command
in the search pipeline, although it is often used near the end of a search1.
NEW QUESTION # 179
Which of the following searches would return a report of sales by product-name?
- A. stats sum(price) as sales over product_name
- B. chart sum(price) as sales by product_name
- C. chart sales by product_name
- D. timechart list(sales), values(product_name)
Answer: B
Explanation:
https://docs.splunk.com/Documentation/Splunk/8.1.0/SearchReference/Chart
https://docs.splunk.com/Documentation/Splunk/8.1.0/SearchReference/Stats
NEW QUESTION # 180
Which of the following statements describes POST workflow actions?
- A. POST workflow actions cannot use field values in their URI.
- B. POST workflow actions can open a web page in either the same window or a new .
- C. POST workflow actions cannot be created on custom sourcetypes.
- D. POST workflow actions are always encrypted.
Answer: B
NEW QUESTION # 181
Which search mode returns all fields?
- A. Fast mode
- B. Verbose mode
- C. Smart mode
Answer: B
NEW QUESTION # 182
By default, how is acceleration configured in the Splunk Common Information Model (CIM) add-on?
- A. Determined automatically based on the data source.
- B. Turned on
- C. Determined automatically based on the sourcetype.
- D. Turned off
Answer: A
Explanation:
By default, acceleration is determined automatically based on the data source in the Splunk Common Information Model (CIM) add-on. The Splunk CIM Add-on is an app that provides common data models for various domains, such as network traffic, web activity, authentication, etc. The CIM Add-on allows you to normalize and enrich your data using predefined fields and tags. The CIM Add-on also allows you to accelerate your data models for faster searches and reports. Acceleration is a feature that pre-computes summary data for your data models and stores them in tsidx files. Acceleration can improve the performance and efficiency of your searches and reports that use data models.
By default, acceleration is determined automatically based on the data source in the CIM Add-on. This means that Splunk will decide whether to enable or disable acceleration for each data model based on some factors, such as data volume, data type, data model complexity, etc. However, you can also manually enable or disable acceleration for each data model by using the Settings menu or by editing the datamodels.conf file.
NEW QUESTION # 183
......
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