Question # 1
By default search results are not returned in ________ order. | A. Chronological | B. Reverser chronological | C. ASCIE | D. Alphabetical |
A. Chronological D. Alphabetical
Question # 2
What are the two parts of a root event dataset? | A. Fields and variables.
| B. Fields and attributes.
| C. Constraints and fields.
| D. Constraints and lookups. |
C. Constraints and fields.
A root event dataset is the base dataset for a data model that defines the source or
sources of the data and the constraints and fields that apply to the data1. A root event dataset has two parts: constraints and fields1. Constraints are filters that limit the data to a
specific index, source, sourcetype, host orsearch string1. Fields are the attributes that
describe the data and can be extracted, calculated or looked up1. Therefore, option C is
correct, while options A, B and D are incorrect.
Question # 3
In the Field Extractor Utility, this button will display events that do not contain extracted
fields.
Select your answer. | A. Selected-Fields
| B. Non-Matches
| C. Non-Extractions
| D. Matches |
B. Non-Matches
Explanation: The Field Extractor Utility (FX) is a tool that helps you extract fields from your
events using a graphical interface or by manually editing the regular expression2. The FX
has a button that displays events that do not contain extracted fields, which is the Non-Matches button2. The Non-Matches button shows you the events that do not match the
regular expression that you have defined for your field extraction2. This way, you can
check if your field extraction is accurate and complete2. Therefore, option B is correct,
while options A, C and D are incorrect because they are not buttons that display events
that do not contain extracted fields.
Question # 4
Which workflow action type performs a secondary search? | A. POST | B. Drilldown | C. GET | D. Search |
D. Search
Explanation: The correct answer is D. Search.
A workflow action is a knowledge object that enables a variety of interactions between
fields in events and other web resources. Workflow actions can create HTML links,
generate HTTP POST requests, or launch secondary searches based on field values1.
There are three types of workflow actions that can be set up using Splunk Web: GET,
POST, and Search2.
GET workflow actions create typical HTML links to do things like perform Google
searches on specific values or run domain name queries against external WHOIS
databases2.
POST workflow actions generate an HTTP POST request to a specified URI. This
action type enables you to do things like creating entries in external issue
management systems using a set of relevant field values2.
Search workflow actions launch secondary searches that use specific field values
from an event, such as a search that looks for the occurrence of specific
combinations of ipaddress and http_status field values in your index over a specific
time range2.
Therefore, the workflow action type that performs a secondary search is Search.
Question # 5
Which of the following statements describes this search?
sourcetype=access_combined I transaction JSESSIONID | timechart avg (duration) | A. This is a valid search and will display a timechart of the average duration, of each
transaction event. | B. This is a valid search and will display a stats table showing the maximum pause among
transactions. | C. No results will be returned because the transaction command must include the
startswith and endswith options. | D. No results will be returned because the transaction command must be the last command used in the search pipeline. |
A. This is a valid search and will display a timechart of the average duration, of each
transaction event.
Explanation: This search uses the transaction command to group events that share a
common value for JSESSIONID into transactions1. The transaction command assigns a
duration field to each transaction, which is the difference between the latest and earliest
timestamps of the events in the transaction1. The search then uses the timechart
command to create a time-series chart of the average duration of each transaction1.
Therefore, option A is correct because it describes the search accurately. Option B is
incorrect because the search does not use the stats command or the pause field. Option C
is incorrect because the transaction command does not require the startswith and endswith
options, although they can be used to specify how to identify the beginning and end of a
transaction1. Option D is incorrect because the transaction command does not have to be
the last command in the search pipeline, although it is often used near the end of a
search1.
Question # 6
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. |
A. Calculated fields, lookups, event types, and tags.
Explanation: 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 # 7
Which of the following describes the Splunk Common Information Model (CIM) add-on? | A. The CIM add-on uses machine learning to normalize data.
| B. The CIM add-on contains dashboards that show how to map data.
| C. The CIM add-on contains data models to help you normalize data.
| D. The CIM add-on is automatically installed in a Splunk environment. |
C. The CIM add-on contains data models to help you normalize data.
Explanation: The Splunk Common Information Model (CIM) add-on is a Splunk app that
contains data models to help you normalize data from different sources and formats. The
CIM add-on defines a common and consistent way of naming and categorizing fields and
events in Splunk. This makes it easier to correlate and analyze data across different
domains, such as network, security, web, etc. The CIM add-on does not use machine
learning to normalize data, but rather relies on predefined field names and values. The CIM
add-on does not contain dashboards that show how to map data, but rather provides
documentation and examples on how to use the data models. The CIM add-on is not
automatically installed in a Splunk environment, but rather needs to be downloaded and
installed from Splunkbase.
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