Splunk Splunk Certifications SPLK-1002 Questions & Answers

• Question 241:

  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 242:

  Which of the following knowledge objects can reference field aliases?

  A. Calculated fields, lookups, event types, and tags.

  B. Calculated fields and tags only.

  C. Calculated fields and event types only.

  D. Calculated fields, lookups, event types, and extracted fields.

  Correct Answer: A

  Field aliases in Splunk are alternate names assigned to fields. These can be particularly useful for normalizing data from different sources or simply for making field names more intuitive. Once an alias is created for a field, it can be used across various Splunk knowledge objects, enhancing their flexibility and utility. A. Calculated fields, lookups, event types, and tags: This is the correct answer. Field aliases can indeed be referenced in calculated fields, lookups, event types, and tags within Splunk. When you create an alias for a field, that alias can then be used in these knowledge objects just like any standard field name. Calculated fields: These are expressions that can create new field values based on existing data. You can use an alias in a calculated field expression to refer to the original field. Lookups: These are used to enrich your event data by referencing external data sources. If you've created an alias for a field that matches a field in your lookup table, you can use that alias in your lookup configurations. Event types: These are classifications for events that meet certain search criteria. You can use field aliases in the search criteria for defining an event type. Tags: These allow you to assign meaningful labels to data, making it easier to search and report on. You can use field aliases in the search criteria that you tag.

• Question 243:

  Which of these is NOT a field that is automatically created with the transaction command?

  A. maxcount

  B. duration

  C. eventcount

  Correct Answer: A

• Question 244:

  Which of these search strings is NOT valid:

  A. index=web status=50* | chart count over host, status

  B. index=web status=50* | chart count over host by status

  C. index=web status=50* | chart count by host, status

  Correct Answer: A

  This search string is not valid: index=web status=50* | chart count over host,status2. This search string uses an invalid syntax for the chart command. The chart command requires one field after the over clause and optionally one field after the by clause. However, this search string has two fields after the over clause separated by a comma. This will cause a syntax error and prevent the search from running. Therefore, option A is correct, while options B and C are incorrect because they are valid search strings that use the chart command correctly.

• Question 245:

  Which is not a comparison operator in Splunk

  A. <=

  B. =

  C. !=

  D. >

  E. ?=

  Correct Answer: E

  A comparison operator is a symbol that compares two values and returns a Boolean result (true or false)2. Splunk supports various comparison operators such as <, >, =, !=, <=, >=, IN and LIKE2. However, ?= is not a valid comparison operator in Splunk and will cause a syntax error if used in a search string2. Therefore, option E is correct, while options A, B, C and D are incorrect because they are valid comparison operators in Splunk

• Question 246:

  Calculated fields can be based on which of the following?

  A. Tags

  B. Extracted fields

  C. Output fields for a lookup

  D. Fields generated from a search string

  Correct Answer: B

  "Calculated fields can reference all types of field extractions and field aliasing, but they cannot reference lookups, event types, or tags."

• Question 247:

  This function of the stats command allows you to identify the number of values a field has.

  A. max

  B. distinct_count

  C. fields

  D. count

  Correct Answer: D

• Question 248:

  When using | timechart by host, which field is represented in the x-axis?

  A. date

  B. host

  C. time

  D. _time

  Correct Answer: D

  Reference: https://docs.splunk.com/Documentation/Splunk/8.0.4/SearchReference/Timechart

• Question 249:

  The timechart command is an example of which of the following command types?

  A. Orchestrating

  B. Transforming

  C. Statistical

  D. Generating

  Correct Answer: B

  The correct answer is B. Transforming.

  The explanation is as follows:

  The timechart command is a Splunk command that creates a time series chart with corresponding table of statistics12.

  A timechart is a statistical aggregation applied to a field to produce a chart, 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. Transforming commands

  are commands that change the format of the search results into a data structure that can be easily visualized3. Transforming commands often use stats functions to aggregate and summarize data3. Therefore, the timechart command is an

  example of a transforming command, as it transforms the search results into a chart and a table using stats functions123.

• Question 250:

  Which of the following is NOT a stats function:

  A. sum

  B. addtotals

  C. count

  D. avg

  Correct Answer: B

  The stats command is used to calculate summary statistics for your search results such as count, sum, avg, min, max and more2. The stats command supports various functions that you can use to perform calculations on your fields2. However, addtotals is not a stats function but a separate command that adds a row or column with the total of the values in each group2. Therefore, option B is correct, while options A, C and D are incorrect because they are valid stats functions.