From SPLK-1002 Exam Testking to Splunk Core Certified Power User Exam, Eastest Way to Pass

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Splunk SPLK-1002 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Filtering and Formatting Results	10%	- Search and evaluation commands 1. where command 2. eval command 3. fillnull command 4. search command
Topic 2: Tags and Event Types	10%	- Knowledge objects 1. Create and use tags 2. Create event types 3. Event types usage
Topic 3: Using Transforming Commands for Visualizations	5%	- Visualization commands 1. chart command 2. timechart command
Topic 4: Field Aliases and Calculated Fields	10%	- Field enrichment 1. Calculated fields 2. Field aliases
Topic 5: Creating and Managing Fields	10%	- Field extraction methods 1. Delimiter field extraction using Field Extractor (FX) 2. Regex field extraction using Field Extractor (FX)
Topic 6: Macros	10%	- Search macros 1. Macros with arguments 2. Create and use basic macros
Topic 7: Common Information Model (CIM)	10%	- Data normalization 1. Data normalization techniques 2. Purpose of CIM 3. Using CIM add-ons
Topic 8: Data Models	10%	- Data model concepts 1. Pivot usage 2. Create data models 3. Data model structure 4. Data model attributes
Topic 9: Correlating Events	15%	- Event correlation techniques 1. Report on transactions 2. Group events using fields 3. Search with transactions 4. When to use transactions vs stats 5. Identify transactions 6. Group events using fields and time
Topic 10: Workflow Actions	10%	- Workflow action types 1. Search workflow actions 2. POST workflow actions 3. GET workflow actions

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Latest Online Splunk SPLK-1002 Practice Tests

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Splunk Core Certified Power User Exam Sample Questions (Q229-Q234):

NEW QUESTION # 229
What does the fillnull command replace null values with, if the value argument is not specified?

A. NaN
B. 0
C. N/A
D. NULL

Answer: B

NEW QUESTION # 230
Which search would limit an "alert" tag to the "host" field?

A. tag=alert
B. tag::host=alert
C. host::tag::alert
D. tag==alert

Answer: B

Explanation:
The search below would limit an "alert" tag to the "host" field.
tag::host=alert
The search does the following:
It uses tag syntax to filter events by tags. Tags are custom labels that can be applied to fields or field
values to provide additional context or meaning for your data.
It specifies tag::host=alert as the tag filter. This means that it will only return events that have an "alert"
tag applied to their host field or host field value.
It uses an equal sign (=) to indicate an exact match between the tag and the field or field value.

NEW QUESTION # 231
If a calculated field has the same name as an extracted field, what happens to the extracted field?

A. The calculated and extracted fields will be combined.
B. The calculated field will override the extracted field.
C. The calculated field will duplicate the extracted field.
D. An error will be returned and the search will fail.

Answer: B

Explanation:
When you define a calculated field, you can specify the name of the field that the eval expression will create or
modify. If the name of the calculated field matches the name of an existing extracted field, the calculated field
will override the extracted field and replace its value with the result of the eval expression. This means that the
original value of the extracted field will not be available for searching or analysis. To avoid this, you should
use a unique name for your calculated field or use a different name for your extracted field2
1: Splunk Core Certified Power User Track, page 9. 2: Splunk Documentation, Configure calculated fields
with props.conf.

NEW QUESTION # 232
Which statement is true?

A. In most cases, each Splunk user will create their own data model.
B. Pivot is used for creating datasets.
C. Data model are randomly structured datasets.
D. Pivot is used for creating reports and dashboards.

Answer: D

Explanation:
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Pivot/IntroductiontoPivot
Pivot is used for creating reports and dashboards. Pivot is a tool that allows you to create reports and
dashboards from your data models without writing any SPL commands. Pivot can help you visualize and
analyze your data using various options, such as filters, rows, columns, cells, charts, tables, maps, etc. Pivot
can also help you accelerate your reports and dashboards by using summary data from your accelerated data
models.
Pivot is not used for creating datasets or data models. Datasets are collections of events that represent your
data in a structured and hierarchical way. Data models are predefined datasets for various domains, such as
network traffic, web activity, authentication, etc. Datasets and data models can be created by using commands
such as datamodel or pivot.

NEW QUESTION # 233
The timechart command buckets data in time intervals depending on:

A. the type of visualization selected
B. the selected time range
C. the number of events returned

Answer: B

Explanation:
The timechart command buckets data in time intervals depending on the selected time range2. The timechart
command is similar to the chart command but it automatically groups events into time buckets based on the
_time field2. The size of the time buckets depends on the time range that you select for your search. For
example, if you select Last 24 hours as your time range, Splunk will use 30-minute buckets for your
timechart. If you select Last 7 days as your time range, Splunk will use 4-hour buckets for your timechart2.
Therefore, option B is correct, while options A and C are incorrect because they are not factors that affect the
size of the time buckets.

NEW QUESTION # 234
......

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