Splunk Splk-1004 dumps exam questions and answers

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Splunk Core Certified Advanced Power User (splk-1004)

Demonstrate deeper skills in complex searching and reporting, advanced knowledge objects use cases and best practices for dashboards and forms.

Get more out of your data with advanced certification

Take your power user status to the next level. Learn how to generate complex searches, reports and dashboards. With deeper expertise, you can expand what you can do with your organization’s data.

Exam Details:

• Level: Intermediate

• Prerequisites: Splunk Core Certified Power User

• Length: 60 minutes

• Format: 70 multiple choice questions

• Pricing: $130 USD per exam attempt

• Delivery: Exam is given by our testing partner Pearson VUE

Preparation:

• Review exam requirements and recommendations on the Splunk Core Certified Advanced Power User track flowchart.

• Test your knowledge with sample questions in the Splunk Certification Exams Study Guide.

• Discover what to expect on the exam via the test blueprint.

• Get step-by-step registration assistance with the Exam Registration Tutorial.

Latest splk-1004 exam questions online practice

Question 1:

What default Splunk role can use the Log Event alert action?

A. Power

B. User

C. can_delete

D. Admin

Correct Answer: D

In Splunk, the Admin role (Option D) has the capability to use the Log Event alert action among many other administrative privileges. The Log Event alert action allows Splunk to create an event in an index based on the triggering of an alert, providing a way to log and track alert occurrences over time. The Admin role typically encompasses a wide range of permissions, including the ability to configure and manage alert actions.

Question 2:

Which of the following best describes the process for tokenizing event data?

A. The event Cats is broken up by values in the punch field.

B. The event data is broken up by major breaker and then broken up further by minor breakers.

C. The event data is broken up by a series of user-defined regex patterns.

D. The event data has all punctuation stripped out and is then space delinked.

Correct Answer: B

The process for tokenizing event data in Splunk is best described as breaking the event data up by major breakers and then further breaking it up by minor breakers (Option B). Major breakers typically identify the boundaries of events, while minor breakers further segment the event data intofields. This hierarchical approach to tokenization allows Splunk to efficiently parse and structure the incoming data for analysis.

Question 3:

What is the recommended way to create a field extraction that is both persistent and precise?

A. Use the rex command.

B. Use the Field Extractor and manually edit the generated regular expression.

C. Use the Field Extractor and let it automatically generate a regular expression.

D. Use the erex command.

Correct Answer: B

Question 4:

What does using the tstats command with summariesonly=false do?

A. Returns results from only non-summarized data.

B. Returns results from both summarized and non-summarized data.

C. Prevents use of wildcard characters in aggregate functions.

D. Returns no results.

Correct Answer: B

Using the tstats command with summariesonly=false instructs Splunk to return results from both summarized (accelerated) data and non-summarized (raw) data. This can be useful when you need a comprehensive view of the data that includes both the high-performance summaries provided by data model acceleration and the detailed granularity of raw data.

Question 5:

Which of the following statements is accurate regarding the append command?

A. It is used with a subsearch and only accesses real-lime searches.

B. It is used with a subsearch and oily accesses historical data.

C. It cannot be used with a subsearch and only accesses historical data.

D. It cannot be used with a subsearch and only accesses real-time searches.

Correct Answer: B

The append command in Splunk is often used with a subsearch to add additional data to the end of the primary search results, and it can access historical data (Option B). This capability is useful for combining datasets from different time ranges or sources, enriching the primary search results with supplementary information.

Question 6:

What qualifies a report for acceleration?

A. Fewer than 100k events in search results, with transforming commands used in the search string.

B. More than 100k events in search results, with only a search command in the search string.

C. More than 100k events in the search results, with a search and transforming command used in the search string.

D. fewer than 100k events in search results, with only a search and transaction command used in the search string.

Correct Answer: A

A report qualifies for acceleration in Splunk if it involves fewer than 100,000 events in the search results and uses transforming commands in the search string (Option A). Transforming commands aggregate data, making it more suitable for acceleration by reducing the dataset\'s complexity and size, which in turn improves the speed and efficiency of report generation.

Question 7:

Which commands can run on both search heads and indexers?

A. Transforming commands

B. Centralized streaming commands

C. Dataset processing commands

D. Distributable streaming commands

Correct Answer: D

Distributable streaming commands in Splunk can run on both search heads and indexers (Option D). These commands operate on each event independently and can be distributed across indexers for parallel execution, which enhances search efficiency and scalability. This category includes commands like search, where, eval, and many others that do not require the entire dataset to be available to produce their output.

Question 8:

What file types does Splunk use to define geospatial lookups?

A. GPX or GML files

B. TXT files

C. KMZ or KML files

D. CSV files

Correct Answer: C

For defining geospatial lookups, Splunk uses KMZ or KML files (Option C). KML (Keyhole Markup Language) is an XML notation for expressing geographic annotation and visualization within Internet-based maps and Earth browsers like Google Earth. KMZ is a compressed version of KML files. These file types allow Splunk to map data points to geographic locations, enabling the creation of geospatial visualizations and analyses. GPX or GML files (Option A), TXT files (Option B), and CSV files (Option D) are not specifically used for geospatial lookups in Splunk, although CSV files are commonly used for other types of lookups.

Question 9:

Which syntax is used when referencing multiple CSS files in a view?

A.

B.

C.

D.

Correct Answer: C

When referencing multiple CSS files in a Splunk dashboard view (within Simple XML), the correct approach is to include separate stylesheet attributes for each CSS file. The syntax for this would be similar to (Option C). This method allows the dashboard to load and apply the styles from both CSS files, enhancing the dashboard\'s visual appearance and user interface design.

Question 10:

Which of the following is accurate about cascading inputs?

A. They can be reset by an event handler.

B. The final input has no impact on previous inputs.

C. Only the final input of the sequence can supply a token to searches.

D. Inputs added to panels can not participate.

Correct Answer: A

Cascading inputs in Splunk dashboards allow the selection in one input (like a dropdown, radio button, etc.) to determine the available options in the subsequent input, creating a dependent relationship between them. An event handler can be configured to reset subsequent inputs based on the selection made in a preceding input (Option A), ensuring that only relevant options are presented to the user as they make selections. This approach enhances the dashboard\'s usability by guiding the user through a logical flow of choices, where each selection refines the scope of the following options.

Question 11:

Which of the following Is valid syntax for the split function?

A. ...| eval split phoneNUmber by "_" as areaCodes.

B. ...| eval areaCodes = split (phonNumber, "_"

C. ...| eval phoneNumber split("-", 3, areaCodes)

D. ...| eval split (phone-Number, "_", areaCodes)

Correct Answer: B

The valid syntax for using the split function in Splunk is ... | eval areaCodes = split(phoneNumber, "_") (Option B). The split function divides a string into an array of substrings based on a specified delimiter, in this case, an underscore. The resulting array is stored in the new field areaCodes.

Question 12:

Assuming a standard time zone across the environment, what syntax will always return ewnts from between 2:00am and 5:00am?

A. datehour>-2 AND date_hour<5

B. earliest=-2h@h AND latest=-5h@h

C. time_hour>-2 AND time_hour>-5

D. earliest=2h@ AND latest=5h3h

Correct Answer: B

To always return events from between 2:00 AM and 5:00 AM, assuming a standard time zone across the environment, the correct Splunk search syntax is earliest=-2h@h AND latest=-5h@h (Option B). This syntax uses relative time modifiers to specify a range starting 2 hours ago from the current hour (-2h@h) and ending 5 hours ago from the current hour (-5h@h), effectively capturing the desired time window.

Question 13:

How is a cascading input used?

A. As part of a dashboard, but not in a form.

B. Without notation in the underlying. XML.

C. As a way to filter other input selections.

D. As a default way to delete a user role.

Correct Answer: C

A cascading input is used as a way to filter other input selections within a dashboard or form (Option C). It enables a dynamic user interface where the selection made in one input (e.g., a dropdown menu) determines the available options in another input. This setup allows for more intuitive and relevant user interactions, as each choice narrows down the subsequent options to ensure they are contextually appropriate.

Question 14:

Which search generates a field with a value of "hello"?

A. | Makeresults field-`\'hello\'\'

B. | Makeresults | fields`\'hello\'\'

C. | Makeresults | eval field-`\'hello\'\'

D. | Makeresults | eval field =make{\'\'hello\'\'}

Correct Answer: C

To generate a field with a value of "hello" using the makeresults command in Splunk, the correct syntax is | makeresults | eval field="hello" (Option C). The makeresults command creates a single event, and the eval command is used to add a new field (named "field" in this case) with the specified value ("hello"). This is a common method for creating sample data or for demonstration purposes within Splunk searches.

Question 15:

Which of the following would exclude all entries contained in the lookup file baditems. csv from search results?

A. NOT [inputlookup baditems.csv]

B. NOT (lookup baditems.csv OUTPUT item)

C. WHERE item NOT IN (baditems.csv)

D. [NOT inputlookup baditems.csv]

Correct Answer: A

The correct syntax to exclude all entries contained in the lookup file baditems.csv from search results is NOT [inputlookup baditems.csv]. This syntax uses a subsearch with the inputlookup command to retrieve the contents of the baditems.csv lookup file and then uses the NOT operator to exclude those results from the main search. This approach is efficient for filtering out unwanted data based on a predefined list of criteria stored in a lookup file.

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