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The SPLK-1002 certification exam is an online, proctored exam that consists of 60 multiple-choice questions. Candidates have 90 minutes to complete the exam and must score 70% or higher to pass. SPLK-1002 Exam can be taken at any time from any location with a reliable internet connection, making it convenient for busy professionals.
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The SPLK-1002 exam is designed to test the knowledge and skills of Splunk users in various aspects of the platform, including search, reporting, and alerting. SPLK-1002 exam consists of 65 multiple-choice questions and has a time limit of 90 minutes. It is available online and can be taken from anywhere in the world.
The domains to check out for SPLK-1002 test along with their details are outlined below. However, this guideline is not a rigid structure of what the test has. Candidates are required to study widely so they become fully prepared. The content of SPLK-1002 can be altered without notifying them.
In the first section, the Splunk SPLK-1002 exam will test the candidates on how they can use the chart and timechart commands. Then in the questions related to the second domain, they will also be checked on their knowledge of eval command, how well they can apply the search as well as the where command to filter outcomes, and their understanding of the fillnull command. In the third domain, the candidates will have to showcase their skills in the identification of transactions, using fields for group events, making transactions with search, making reports on the transactions, and deciding between the use of transactions and statistics according to a given scenario.
The fourth, fifth, and sixth topics of SPLK-1002 will also go be appraising the candidate's knowledge of the fields and other features. They highlight areas such as the use of the Field Extractor (FX) for performing regex field extractions and using the FX to do delimiter field extractions. The candidate will also be gauged in their knowledge of describing, creating, and utilizing field aliases as well as calculated fields. Finally, one's understanding of the creation and use of tags will be assessed, along with the knowledge of event types, their different uses, and the skills in their creation.
The test will also measure the candidate's awareness of macros, the creation as well as the use of basic macros, defining variables and arguments for macros, and adding and using those arguments. Under the eighth domain, one has to show the knowledge of diverse functions such as GET, POST as well as Search workflow actions, and demonstrate skills in their creation.
In the last two modules, the exam-takers will also be required to prove their expertise in the creation of data models and utilizing CIM. These include an understanding of the connection between pivot and data models, the creation of data models, and the ability to define the attributes. Also, the candidates have to be competent in normalizing data with the help of CIM, be familiar with the CIM Add-On knowledge objects, and the basic features of this solution.
NEW QUESTION # 198
How can an existing accelerated data model be edited?
Answer: A
Explanation:
An existing accelerated data model can be edited, but the data model must be de-accelerated before any structural edits can be made (Option C). This is because the acceleration process involves pre-computing and storing data, and changes to the data model's structure could invalidate or conflict with the pre-computed data.
Once the data model is de-accelerated and edits are completed, it can be re-accelerated to optimize performance.
NEW QUESTION # 199
What are the expected results for a search that contains the command | where A=B?
Answer: A
Explanation:
The correct answer is C. Events where values of field A are equal to values of field B.
The where command is used to filter the search results based on an expression that evaluates to true or false. The where command can compare two fields, two values, or a field and a value. The where command can also use functions, operators, and wildcards to create complex expressions1.
The syntax for the where command is:
| where <expression>
The expression can be a comparison, a calculation, a logical operation, or a combination of these. The expression must evaluate to true or false for each event.
To compare two fields with the where command, you need to use the field names without any quotation marks. For example, if you want to find events where the values for the field A match the values for the field B, you can use the following syntax:
| where A=B
This will return only the events where the two fields have the same value.
The other options are not correct because they use different syntax or fields that are not related to the where command. These options are:
A) Events that contain the string value where A=B: This option uses the string value where A=B as a search term, which is not valid syntax for the where command. This option will return events that have the literal text "where A=B" in them.
B) Events that contain the string value A=B: This option uses the string value A=B as a search term, which is not valid syntax for the where command. This option will return events that have the literal text "A=B" in them.
D) Events where field A contains the string value B: This option uses quotation marks around the value B, which is not valid syntax for comparing fields with the where command. Quotation marks are used to enclose phrases or exact matches in a search2. This option will return events where the field A contains the string value "B".
Reference:
where command usage
Search command cheatsheet
NEW QUESTION # 200
What does the fillnull command replace null values with, it the value argument is not specified?
Answer: B
Explanation:
Reference:https://answers.splunk.com/answers/653427/fillnull-doesnt-work-without-specfying-a-field.html
NEW QUESTION # 201
Which of the following transforming commands can be used with transactions?
chart, timechart, stats, eventstats
chart, timechart, stats, diff
chart, timeehart, datamodel, pivot
chart, timecha:t, stats, pivot
Answer:
Explanation:
chart, timechart, stats, eventstats.
Transforming commands are commands that change the format of the search results into a table or a chart. They can be used to perform statistical calculations, create visualizations, or manipulate data in various ways1.
Transactions are groups of events that share some common values and are related in some way. Transactions can be defined by using the transaction command or by creating a transaction type in the transactiontypes.conf file2.
Some transforming commands can be used with transactions to create tables or charts based on the transaction fields. These commands include:
chart: This command creates a table or a chart that shows the relationship between two or more fields. It can be used to aggregate values, count occurrences, or calculate statistics3.
timechart: This command creates a table or a chart that shows how a field changes over time. It can be used to plot trends, patterns, or outliers4.
stats: This command calculates summary statistics on the fields in the search results, such as count, sum, average, etc. It can be used to group and aggregate data by one or more fields5.
eventstats: This command calculates summary statistics on the fields in the search results, similar to stats, but it also adds the results to each event as new fields. It can be used to compare events with the overall statistics.
These commands can be applied to transactions by using the transaction fields as arguments. For example, if you have a transaction type named "login" that groups events based on the user field and has fields such as duration and eventcount, you can use the following commands with transactions:
| chart count by user : This command creates a table or a chart that shows how many transactions each user has.
| timechart span=1h avg(duration) by user : This command creates a table or a chart that shows the average duration of transactions for each user per hour.
| stats sum(eventcount) as total_events by user : This command creates a table that shows the total number of events for each user across all transactions.
| eventstats avg(duration) as avg_duration : This command adds a new field named avg_duration to each transaction that shows the average duration of all transactions.
The other options are not valid because they include commands that are not transforming commands or cannot be used with transactions. These commands are:
diff: This command compares two search results and shows the differences between them. It is not a transforming command and it does not work with transactions.
datamodel: This command retrieves data from a data model, which is a way to organize and categorize data in Splunk. It is not a transforming command and it does not work with transactions.
pivot: This command creates a pivot report, which is a way to analyze data from a data model using a graphical interface. It is not a transforming command and it does not work with transactions.
Explanation:
The correct answer is
Reference:
About transforming commands
About transactions
chart command overview
timechart command overview
stats command overview
[eventstats command overview]
[diff command overview]
[datamodel command overview]
[pivot command overview]
NEW QUESTION # 202
When creating a Search workflow action, which field is required?
Answer: A
Explanation:
Reference:
https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Setupasearchworkflowaction
NEW QUESTION # 203
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