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Splunk SPLK-1004 Practice Test - Questions Answers, Page 5

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How can a lookup be referenced in an alert?

A.
Use the lookup dropdown in the alert configuration window.
A.
Use the lookup dropdown in the alert configuration window.
Answers
B.
Follow a lookup with an alert command in the search bar.
B.
Follow a lookup with an alert command in the search bar.
Answers
C.
Run a search that uses a lookup and save as an alert.
C.
Run a search that uses a lookup and save as an alert.
Answers
D.
Upload a lookup file directly to the alert.
D.
Upload a lookup file directly to the alert.
Answers
Suggested answer: C

Explanation:

To reference a lookup in an alert in Splunk, you would run a search that uses a lookup and then save that search as an alert (Option C). This method integrates the lookup within the search logic, and when the search conditions meet the alert's trigger conditions, the alert is activated. This approach allows the alert to leverage the enriched data provided by the lookup for more accurate and informative alerting.

Where does the output of an append command appear in the search results?

A.
Added as a column to the right of the search results.
A.
Added as a column to the right of the search results.
Answers
B.
Added as a column to the left of the search results.
B.
Added as a column to the left of the search results.
Answers
C.
Added to the beginning of the search results.
C.
Added to the beginning of the search results.
Answers
D.
Added to the end of the search results.
D.
Added to the end of the search results.
Answers
Suggested answer: D

Explanation:

The output of an append command in Splunk search results is added to the end of the search results (Option D). The append command is used to concatenate the results of a subsearch to the end of the current search results, effectively extending the result set with additional data. This can be particularly useful for combining related datasets or adding contextual information to the existing search results.

Repeating JSON data structures within one event will be extracted as what type of fields?

A.
Single value
A.
Single value
Answers
B.
Lexicographical
B.
Lexicographical
Answers
C.
Multivalue
C.
Multivalue
Answers
D.
Mvindex
D.
Mvindex
Answers
Suggested answer: C

Explanation:

Repeating JSON data structures within a single event in Splunk are extracted as multivalue fields (Option C). Multivalue fields allow a single field to contain multiple distinct values, which is common with JSON data structures that include arrays or repeated elements. Splunk's field extraction capabilities automatically recognize and parse these structures, allowing users to work with each value within the multivalue field for analysis and reporting

A report named 'Linux logins' populates a summary index with the search string sourcetype=linux_secure| sitop src_ip user. Which of the following correctly searches against the summary index for this data?

A.
index=summary sourcetype='linux_secure' | top src_ip user
A.
index=summary sourcetype='linux_secure' | top src_ip user
Answers
B.
index=summary search_name='Linux logins' | top src_ip user
B.
index=summary search_name='Linux logins' | top src_ip user
Answers
C.
index=summary search_name='Linux logins' | stats count by src_ip user
C.
index=summary search_name='Linux logins' | stats count by src_ip user
Answers
D.
index=summary sourcetype='linux_secure' | stats count by src_ip user
D.
index=summary sourcetype='linux_secure' | stats count by src_ip user
Answers
Suggested answer: B

Explanation:

When searching against summary data in Splunk, it's common to reference the name of the saved search or report that populated the summary index. The correct search syntax to retrieve data from the summary index populated by a report named 'Linux logins' is index=summary search_name='Linux logins' | top src_ip user (Option B). This syntax uses the search_name field, which holds the name of the saved search or report that generated the summary data, allowing for precise retrieval of the intended summary data.

Which statement about tsidx files is accurate?

A.
Splunk updates tsidx files every 30 minutes.
A.
Splunk updates tsidx files every 30 minutes.
Answers
B.
Splunk removes outdated tsidx files every 5 minutes.
B.
Splunk removes outdated tsidx files every 5 minutes.
Answers
C.
A tsidx file consists of a lexicon and a posting list.
C.
A tsidx file consists of a lexicon and a posting list.
Answers
D.
Each bucket in each index may contain only one tsidx file.
D.
Each bucket in each index may contain only one tsidx file.
Answers
Suggested answer: C

Explanation:

A tsidx file in Splunk is an index file that contains indexed data, and it consists of two main parts: a lexicon and a posting list (Option C). The lexicon is a list of unique terms found in the data, and the posting list is a list of references to the occurrences of these terms in the indexed data. This structure allows Splunk to efficiently search and retrieve data based on search terms.

Which of the following is not a common default time field?

A.
date_zone
A.
date_zone
Answers
B.
date minute
B.
date minute
Answers
C.
date_year
C.
date_year
Answers
D.
date_day
D.
date_day
Answers
Suggested answer: A

Explanation:

In Splunk, common default time fields include date_minute, date_year, and date_day, which represent the minute, year, and day parts of event timestamps, respectively. date_zone (Option A) is not recognized as a common default time field in Splunk. The platform typically uses fields like _time and various date_* fields for time-related information but does not use date_zone as a standard time field.

What is a performance improvement technique unique to dashboards?

A.
Using stats instead of transaction
A.
Using stats instead of transaction
Answers
B.
Using global searches
B.
Using global searches
Answers
C.
Using report acceleration
C.
Using report acceleration
Answers
D.
Using datamodel acceleration
D.
Using datamodel acceleration
Answers
Suggested answer: C

Explanation:

Using report acceleration (Option C) is a performance improvement technique unique to dashboards in Splunk. Report acceleration involves pre-computing the results of a report (which can be a saved search or a dashboard panel) and storing these results in a summary index, allowing dashboards to load faster by retrieving the pre-computed data instead of running the full search each time. This technique is especially useful for dashboards that rely on complex searches or searches over large datasets.

Which of these generates a summary index containing a count of events by productId?

A.
| stats count by productId
A.
| stats count by productId
Answers
B.
| stats sum (productId)
B.
| stats sum (productId)
Answers
C.
| sistats count by productId
C.
| sistats count by productId
Answers
D.
sistats summary_index by productid
D.
sistats summary_index by productid
Answers
Suggested answer: A

Explanation:

To generate a summary index containing a count of events by productId, the correct search command would be | stats count by productId (Option A). This command aggregates the events by productId, counting the number of events for each unique productId value. The stats command is a fundamental Splunk command used for aggregation and summarization, making it suitable for creating summary data like counts by specific fields.

Which predefined drilldown token passes a clicked value from a table row?

A.
$rowclick. <fieldname>$
A.
$rowclick. <fieldname>$
Answers
B.
$tableclick .< fieldname>$
B.
$tableclick .< fieldname>$
Answers
C.
$row. <fieldname>$
C.
$row. <fieldname>$
Answers
D.
$table .< fieldname>$
D.
$table .< fieldname>$
Answers
Suggested answer: A

Explanation:

The predefined drilldown token that passes a clicked value from a table row in Splunk dashboards is $row.<fieldname>$ (Option A). This token syntax is used within the drilldown configuration of a dashboard panel to capture the value of a specific field from a row where the user clicks. This value can then be passed to another dashboard panel or used within the same panel to dynamically update the content based on the user's interaction, enhancing the interactivity and relevance of dashboard data presentations.

Which statement about the coalesce function is accurate?

A.
It can take only a single argument.
A.
It can take only a single argument.
Answers
B.
It can take a maximum of two arguments.
B.
It can take a maximum of two arguments.
Answers
C.
It can be used to create a new field in the results set.
C.
It can be used to create a new field in the results set.
Answers
D.
It can return null or non-null values.
D.
It can return null or non-null values.
Answers
Suggested answer: C

Explanation:

The coalesce function in Splunk is used to evaluate each argument in order and return the first non-null value. This function can be used within an eval expression to create a new field in the results set, which will contain the first non-null value from the list of fields provided as arguments to coalesce. This makes it particularly useful in situations where data may be missing or inconsistently populated across multiple fields, as it allows for a fallback mechanism to ensure that some value is always presented.

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