Topic 2: Questions Set 2
In what order arc the following knowledge objects/configurations applied?
A. Field Aliases, Field Extractions, Lookups
B. Field Extractions, Field Aliases, Lookups
C. Field Extractions, Lookups, Field Aliases
D. Lookups, Field Aliases, Field Extractions
Knowledge objects are entities that you create to add knowledge to your data and make it easier to search and analyze2. Some examples of knowledge objects are field extractions, field aliases and lookups2. Field extractions are methods that extract fields from your raw data using various techniques such as regular expressions, delimiters or key-value pairs2. Field aliases are ways to assign alternativenames to existing fields without changing the original field names or values2. Lookups are ways to enrich your data with additional information from external sources such as CSV files or databases2. The order in which these knowledge objects/configurations are applied is as follows: field extractions, field aliases and then lookups2. This means that Splunk first extracts fields from your raw data, then applies any aliases to the extracted fields and then performs any lookups on the aliased fields2. Therefore, option B is correct, while options A, C and D are incorrect.
Which of the following eval command function is valid?
A. Int ()
B. Count ( )
C. Print ()
D. Tostring ()
Explanation: The eval command supports a number of functions that you can use in your expressions to performcalculations, conversions, string manipulations and more2. One of the eval command functions is tostring(), which converts a numeric value to a string value2. Therefore, option D is correct, while options A, B and C are incorrect because they are not valid eval command functions.
Which of the following statements is true, especially in large environments?
A. Use the scats command when you next to group events by two or more fields.
B. The stats command is faster and more efficient than the transaction command
C. The transaction command is faster and more efficient than the stats command.
D. Use the transaction command when you want to see the results of a calculation.
The stats command is faster and more efficient than the transaction command, especially in large environments. The stats command is used to calculate summary statistics on the events, such as count, sum, average, etc. The stats command can group events by one or more fields or by time buckets. The stats command does not create new events from groups of events, but rather creates new fields with statistical values. The transaction command is used to group events into transactions based on some common characteristics, such as fields, time, or both. The transaction command creates new events from groups of events that share one or more fields. The transaction command also creates some additional fields for each transaction, such as duration, eventcount, startime, etc. The transaction command is slower and more resource-intensive than the stats command because it has to process more data and create more events and fields.
A calculated field maybe based on which of the following?
A. Lookup tables
B. Extracted fields
C. Regular expressions
D. Fields generated within a search string
Explanation: As mentioned before, a calculated field is a field that you create based on the value of another field or fields2. A calculated field can be based on extracted fields, which are fields that are extracted from your raw data using various methods such as regular expressions, delimiters or key-value pairs2. Therefore, option B is correct, while options A, C and D are incorrect because they are not types of fields that a calculated field can be based on.
A user wants to convert numeric field values to strings and also to sort on those values. Which command should be used first, theevalor thesort?
A. It doesn't matter whether eval or sort is used first.
B. Convert the numeric to a string with eval first, then sort.
C. Use sort first, then convert the numeric to a string with eval.
D. You cannot use the sort command and the eval command on the same field.
Explanation: The eval command is used to create new fields or modify existing fields based on an expression2. The sort command is used to sort the results by one or more fields in ascending or descending order2. If you want to convert numeric field values to strings and also sort on those values, you should use the sort command first, then use the eval command to convert the values to strings2. This way, the sort command will use the original numeric values for sorting, rather than the converted string values which may not sort correctly. Therefore, option C is correct, while options A, B and D are incorrect.
Which of the following statements describes field aliases?
A. Field alias names replace the original field name.
B. Field aliases can be used in lookup file definitions.
C. Field aliases only normalize data across sources and sourcetypes.
D. Field alias names are not case sensitive when used as part of a search.
Explanation: Field aliases are alternative names for fields in Splunk. Field aliases can be used to normalize data across different sources and sourcetypes that have different field names for the same concept. For example, you can create a field alias for src_ip that maps to clientip, source_address, or any other field name that represents the source IP address in different sourcetypes. Field aliases can also be used in lookup file definitions to map fields in your data to fields in the lookup file. For example, you can use a field alias for src_ip to map it to ip_address in a lookup file that contains geolocation information for IP addresses. Field alias names do not replace the original field name, but rather create a copy of the field with a different name. Field alias names are case sensitive when used as part of a search, meaning that src_ip and SRC_IP are different fields.
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