Splunk Core Certified Power User (splk-1002 dumps exam questions and answers)

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Splunk Core Certified Power User

Expand your basic Splunk skill set with greater understanding of searching and reporting, creating objects, tags, models and more.

Deliver more value as a power user

Strengthen your searching and reporting capabilities. Create workflow actions, event types, knowledge objects and data models. Know how to use field aliases, calculator fields and macros. Plus, learn to normalize data for Splunk.

Exam Details:

• Level: Entry

• Prerequisites: None

• Length: 60 minutes

• Format: 65 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 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.

splk-1002 dumps exam questions and answers

Question 1:

Which of the following statements describes an event type?

A. A log level measurement: info, warn, error.

B. A knowledge object that is applied before fields are extracted.

C. A field for categorizing events based on a search string.

D. Either a log, a metric, or a trace.

Correct Answer: C

This is because an event type is a knowledge object that assigns a user- defined name to a set of events that match a specific search criteria. For example, you can create an event type named successful_purchase for events that have sourcetype=access_combined, status=200, and action=purchase. Then, you can use eventtype=successful_purchase as a search term to find those events. You can also use event types to create alerts, reports, and dashboards. You can learn more about event types from the Splunk documentation1. The other options are incorrect because they do not describe what an event type is. A log level measurement is a field that indicates the severity of an event, such as info, warn, or error. A knowledge object that is applied before fields are extracted is a source type, which identifies the format and structure of the data. Either a log, a metric, or a trace is a type of data that Splunk can ingest and analyze, but not an event type.

Question 2:

The transaction command allows you to __________ events across multiple sources

A. duplicate

B. correlate

C. persist

D. tag

Correct Answer: B

The transaction command allows you to correlate events across multiple sources. The transaction command is a search command that allows you to group events into transactions based on some common characteristics, such as fields, time, or both. A transaction is a group of events that share one or more fields that relate them to each other. A transaction can span across multiple sources or sourcetypes that have different formats or structures of data. The transaction command can help you correlate events across multiple sources by using the common fields as the basis for grouping. The transaction command can also create some additional fields for each transaction, such as duration, eventcount, startime, etc.

Question 3:

How can an existing accelerated data model be edited?

A. An accelerated data model can be edited once its .tsidx file has expired.

B. An accelerated data model can be edited from the Pivot tool.

C. The data model must be de-accelerated before edits can be made to its structure.

D. It cannot be edited. A new data model would need to be created.

Correct Answer: C

An existing accelerated data model can be edited, but the data model must be de- accelerated before any structural edits can be made (Option C). This is because the acceleration process involves pre-computing and storing data, and changes to the data model\'s structure could invalidate or conflict with the pre-computed data. Once the data model is de-accelerated and edits are completed, it can be re-accelerated to optimize performance.

Question 4:

Which of the following statements describes Search workflow actions?

A. By default. Search workflow actions will run as a real-time search.

B. Search workflow actions can be configured as scheduled searches,

C. The user can define the time range of the search when created the workflow action.

D. Search workflow actions cannot be configured with a search string that includes the transaction command

Correct Answer: C

Search workflow actions are custom actions that run a search when you click on a field value in your search results. Search workflow actions can be configured with various options, such as label name, search string, time range, app context, etc. One of the options is to define the time range of the search when creating the workflow action. You can choose from predefined time ranges, such as Last 24 hours, Last 7 days, etc., or specify a custom time range using relative or absolute time modifiers. Search workflow actions do not run as real-time searches by default, but rather use the same time range as the original search unless specified otherwise. Search workflow actions cannot be configured as scheduled searches, as they are only triggered by user interaction. Search workflow actions can be configured with any valid search string that includes any search command, such as transaction.

Question 5:

Clicking a SEGMENT on a chart, ________.

A. drills down for that value

B. highlights the field value across the chart

C. adds the highlighted value to the search criteria

Correct Answer: C

Question 6:

Highlighted search terms indicate _________ search results in Splunk.

A. Display as selected fields.

B. Sorted

C. Charted based on time

D. Matching

Correct Answer: D

Highlighted search terms indicate matching search results in Splunk, which means that they show which parts of your events match your search string2. For example, if you search for error OR fail, Splunk will highlight error or fail in your events to show which events match your search string2. Therefore, option D is correct, while options A, B and C are incorrect because they are not indicated by highlighted search terms.

Question 7:

Which of the following searches show a valid use of macro? (Select all that apply)

A. index=main source=mySource oldField=* |\'makeMyField(oldField)\'| table _time newField

B. index=main source=mySource oldField=* | stats if(\'makeMyField(oldField)\') | table _time newField

C. index=main source=mySource oldField=* | eval newField=\'makeMyField(oldField)\'| table _time newField

D. index=main source=mySource oldField=* | "\'newField(\'makeMyField(oldField)\')\'" | table _time newField

Correct Answer: AC

Reference: https://answers.splunk.com/answers/574643/field-showing-an-additional-and- not-visible-value-1.html

To use a macro in a search, you must enclose the macro name and any arguments in single quotation marks1. For example, \'my_macro(arg1,arg2)\' is a valid way to use a macro with two arguments. You can use macros anywhere in your search string where you would normally use a search command or expression1. Therefore, options A and C are valid searches that use macros, while options B and D are invalid because they do not enclose the macros in single quotation marks.

Question 8:

Consider the the following search run over a time range of last 7 days:

index=web sourcetype=access_conbined | timechart avg(bytes) by product_nane

Which option is used to change the default time span so that results are grouped into 12 hour intervals?

A. span=12h

B. timespan=12h

C. span=12

D. timespan=12

Correct Answer: A

The span option is used to specify the time span for the timechart command. The span value can be a number followed by a time unit, such as h for hour, d for day, w for week, etc. The span value determines how the data is grouped into time buckets. For example, span=12h means that the data is grouped into 12-hour intervals. The timespan option is not a valid option for the timechart command2

1: Splunk Core Certified Power User Track, page 9. 2: Splunk Documentation, timechart command.

Question 9:

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

A. Multi-Series

B. Split-Series

C. Omit nulls

D. Stacked

Correct Answer: D

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

Question 10:

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

A. Regular expression

B. Delimiters

C. eval expression

D. table extraction

Correct Answer: B

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 .

Question 11:

A calculated field may be based on which of the following?

A. Fields generated within a search string

B. Lookup tables

C. Regular expressions

D. Extracted fields

Correct Answer: D

In Splunk, calculated fields allow you to create new fields using expressions that can transform or combine the values of existing fields. Although all options provided might seem viable, when selecting only one option that is most representative of a calculated field, we typically refer to:

D. Extracted fields: Calculated fields are often based on fields that have already been extracted from your data. Extracted fields are those that Splunk has identified and pulled out from the event data based on patterns, delimiters, or other methods such as regular expressions or automatic extractions. These fields can then be used in expressions to create calculated fields. For example, you might have an extracted field for the time in seconds, and you want to create a calculated field for the time in minutes. You would use the extracted field in a calculation to create the new field. It\'s important to note that although fields generated within a search string (A) and regular expressions (C) can also be used in the calculation of a new field, and lookup tables (B) can be used to enrich data, option D is typically what one refers to when discussing calculated fields, as it implies a direct transformation or calculation based on fields that have been extracted from the raw data.

Question 12:

Which type of visualization shows relationships between discrete values in three dimensions?

A. Pie chart

B. Line chart

C. Bubble chart

D. Scatter chart

Correct Answer: C

https://docs.splunk.com/Documentation/DashApp/0.9.0/DashApp/chartsBub

Question 13:

When using the transaction command, how are evicted transactions identified?

A. Closed_txn field is set to o, or false.

B. Max_txn field is set to O, or false.

C. Txn_field is set to 1, or true.

D. open_txn field is set to 1, or true.

Correct Answer: A

The transaction command is a Splunk command that finds transactions based on events that meet various constraints1.

Transactions are made up of the raw text (the _raw field) of each member, the time and date fields of the earliest member, as well as the union of all other fields of each member1.

The transaction command adds some fields to the raw events that are part of the transaction12. These fields are:

Therefore, evicted transactions can be distinguished from non-evicted transactions by checking the value of the closed_txn field. The closed_txn field is set to 0, or false, for evicted transactions and 1, or true for non-evicted, or closed,

transactions23.

Question 14:

Which of the following statements describe the search below? (select all that apply) Index=main I transaction clientip host maxspan=30s maxpause=5s

A. Events in the transaction occurred within 5 seconds.

B. It groups events that share the same clientip and host.

C. The first and last events are no more than 5 seconds apart.

D. The first and last events are no more than 30 seconds apart.

Correct Answer: ABD

The search below groups events by two or more fields (clientip and host), creates transactions with start and end constraints (maxspan=30s and maxpause=5s), and calculates the duration of each transaction. index=main | transaction clientip host maxspan=30s maxpause=5s The search does the following: It filters the events by the index main, which is a default index in Splunk that contains all data that is not sent to other indexes. It uses the transaction command to group events into transactions based on two fields: clientip and host. The transaction command creates new events from groups of events that share the same clientip and host values. It specifies the start and end constraints for the transactions using the maxspan and maxpause arguments. The maxspan argument sets the maximum time span between the first and last events in a transaction. The maxpause argument sets the maximum time span between any two consecutive events in a transaction. In this case, the maxspan is 30 seconds and the maxpause is 5 seconds, meaning that any transaction that has a longer time span or pause will be split into multiple transactions. It creates some additional fields for each transaction, such as duration, eventcount, startime, etc. The duration field shows the time span between the first and last events in a transaction.

Question 15:

The Field Extractor (FX) is used to extract a custom field. A report can be created using this custom field. The created report can then be shared with other people in the organization. If another person in the organization runs the shared report and no results are returned, why might this be? (select all that apply)

A. Fast mode is enabled.

B. The dashboard is private.

C. The extraction is private-

D. The person in the organization running the report does not have access to the index.

Correct Answer: CD

The Field Extractor (FX) is a tool that helps you extract fields from your events using a graphical interface2. You can create a report using a custom field extracted by the FX and share it with other users in your organization2. However, if another user runs the shared report and no results are returned, there could be two possible reasons. One reason is that the extraction is private, which means that only you can see and use the extracted field2. To make the extraction available to other users, you need to make it global or app-level2. Therefore, option C is correct. Another reason is that the other user does not have access to the index where the events are stored2. To fix this issue, you need to grant the appropriate permissions to the other user for the index2. Therefore, option D is correct. Options A and B are incorrect because they are not related to the field extraction or the report.

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