GAUGE YOUR PERFORMANCE AND IDENTIFY WEAKNESSES WITH ONLINE SPLUNK SPLK-1002 PRACTICE TEST ENGINE

Gauge Your Performance and Identify Weaknesses with Online Splunk SPLK-1002 Practice Test Engine

Gauge Your Performance and Identify Weaknesses with Online Splunk SPLK-1002 Practice Test Engine

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The SPLK-1002 Exam consists of 65 multiple-choice questions that must be completed within 90 minutes. SPLK-1002 exam covers a range of topics, including using Splunk to search and navigate data, creating and managing alerts, and working with macros and workflow actions. Candidates will also be tested on their ability to use Splunk's advanced features, such as data models, pivot, and transaction commands.

Splunk Core Certified Power User Exam Sample Questions (Q98-Q103):

NEW QUESTION # 98
Which of the following statements describe the Common Information Model (QM)? (select all that apply)

  • A. CIM can correlate data from different sources.
  • B. The Knowledge Manager uses the CIM to create knowledge objects.
  • C. CIM is a methodology for normalizing data.
  • D. CIM is an app that can coexist with other apps on a single Splunk deployment.

Answer: A,C

Explanation:
Reference:
https://docs.splunk.com/Documentation/CIM/4.15.0/User/Overview


NEW QUESTION # 99
A space is an implied _____ in a search string.

  • A. NOT
  • B. OR
  • C. ()
  • D. AND

Answer: D


NEW QUESTION # 100
In what order arc the following knowledge objects/configurations applied?

  • A. Lookups, Field Aliases, Field Extractions
  • B. Field Extractions, Lookups, Field Aliases
  • C. Field Aliases, Field Extractions, Lookups
  • D. Field Extractions, Field Aliases, Lookups

Answer: D

Explanation:
Reference:
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 alternative names 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.


NEW QUESTION # 101
What does the Splunk Common Information Model (CIM) add-on include? (select all that apply)

  • A. Automatic data model acceleration
  • B. Pre-configured data models
  • C. Fields and event category tags
  • D. Custom visualizations

Answer: B,C

Explanation:
The Splunk Common Information Model (CIM) add-on is a collection of pre-built data models and knowledge objects that help you normalize your data from different sources and make it easier to analyze and report on it3. The CIM add-on includes pre-configured data models that cover various domains such as Alerts, Email, Database, Network Traffic, Web and more3. Therefore, option B is correct. The CIM add-on also includes fields and event category tags that define the common attributes and labels for the data models3. Therefore, option C is correct. The CIM add-on does not include custom visualizations or automatic data model acceleration. Therefore, options A and D are incorrect.


NEW QUESTION # 102
When should the regular expression mode of Field Extractor (FX) be used? (select all that apply)

  • A. For data with multiple, different characters separating fields.
  • B. For data cleanly separated by a space, a comma, or a pipe character.
  • C. For data in a CSV (comma-separated value) file.
  • D. For unstructured data.

Answer: A,D

Explanation:
The regular expression mode of Field Extractor (FX) should be used for data with multiple, different characters separating fields or for unstructured data. The regular expression mode allows you to select a sample event and highlight the fields that you want to extract, and the field extractor generates a regular expression that matches similar events and extracts the fields from them.ReferencesSee Build field extractions with the field extractor - Splunk Documentation and Field Extractor: Select Method step - Splunk Documentation.


NEW QUESTION # 103
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