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SPLK-1002 · topic practice

Data Models and Best Practices practice questions

Practise Splunk Core Certified User SPLK-1002 Data Models and Best Practices practice questions — original exam-style scenarios with answer choices, explanations, and analysis of common mistakes.

Courseiva uses original exam-style practice questions designed for learning and revision. The goal is to understand the concepts, recognise exam patterns, and improve through explanations — not memorise copied exam dumps.

Reviewed byJohnson Ajibi· MSc IT Security

20 questionsDomain: Data Models and Best Practices

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What the exam tests

What to know about Data Models and Best Practices

Data Models and Best Practices questions test whether you can apply the concept in context, not just recognise a definition.

How the topic appears in realistic exam-style scenarios.

Which detail in the question changes the correct answer.

How to eliminate plausible but wrong options.

How to connect the question back to the wider exam objective.

Watch out for

Common Data Models and Best Practices exam traps

▸Answering from memory before reading the full scenario.
▸Missing a constraint such as cost, availability, security, scope or command context.
▸Choosing a broad answer when the question asks for the most specific fix.
▸Ignoring why the wrong options are tempting.

Practice set

Data Models and Best Practices questions

20 questions · select your answer, then reveal the explanation

Question 1mediummultiple choice

Read the full Data Models and Best Practices explanation →

A security analyst needs to create a data model for authentication logs that allows both event counts and average duration calculations. The data model should support fast search performance. Which approach best follows Splunk best practices for data model design?

Trap 1: Define the root event as an event type with calculated fields for…

Calculated fields in root events increase search-time overhead, reducing performance.

Trap 2: Define the root event as a transaction type to include duration…

Transaction types are less flexible for aggregation and may not support all desired calculations.

Trap 3: Create separate data models for counts and durations.

Multiple data models increase maintenance and are unnecessary; one model can support both.

Study all Data Models and Best Practices common traps →

A
Define root events as event types and add child transactions for duration calculations.
This approach allows efficient counts from root events and duration calculations from child transactions, following best practices.
B
Define the root event as an event type with calculated fields for duration.
Why wrong: Calculated fields in root events increase search-time overhead, reducing performance.
C
Define the root event as a transaction type to include duration inherently.
Why wrong: Transaction types are less flexible for aggregation and may not support all desired calculations.
D
Create separate data models for counts and durations.
Why wrong: Multiple data models increase maintenance and are unnecessary; one model can support both.

Data Models and Best Practices practice questions

What to know about Data Models and Best Practices

Common Data Models and Best Practices exam traps

Data Models and Best Practices questions

A security analyst needs to create a data model for authentication logs that allows both event counts and average duration calculations. The data model should support fast search performance. Which approach best follows Splunk best practices for data model design?

A Splunk administrator notices that a data model acceleration summary is not updating as expected. The data model is accelerated with a summary range of 30 days. What is the most likely cause of this issue?

An analyst wants to create a data model that includes fields from both web server logs and database logs. The two sourcetypes have different timestamp formats. Which best practice should the analyst follow when designing the data model?

A user reports that a data model acceleration is consuming excessive disk space on the indexer. The data model has a summary range of 90 days. Which action is best to reduce disk space usage while maintaining acceptable query performance?

During a data model acceleration build, the following error appears in splunkd.log: 'Data model acceleration: not enough memory to complete summary build.' Which best practice should the administrator implement to prevent this error?

Which TWO are best practices for creating data models in Splunk? (Choose two.)

Which THREE are valid considerations when troubleshooting data model acceleration? (Choose three.)

Which TWO are benefits of using data model acceleration? (Choose two.)

A Splunk administrator notices that a data model acceleration summary is consuming excessive disk space on the indexers. The data model is used for a dashboard that refreshes every 30 minutes. What is the best course of action to reduce disk usage while maintaining dashboard performance?

Which TWO statements about designing Splunk data models are correct? (Choose two.)

Refer to the exhibit. A Splunk user is building a data model for Apache error logs. The configuration above extracts an error_type field. However, when previewing data in the data model, the error_type field is not available. What is the most likely cause?

Exhibit

Which TWO of the following are best practices when creating and using data models in Splunk?

Refer to the exhibit. A user runs the search shown. The search returns results, but the user wants to use a data model to make future searches faster and more consistent. Which data model should the user select and what is the correct acceleration setting?

Exhibit

Which three of the following are best practices when working with Data Models in Splunk? (Choose three.)

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