The correct choice is the CIM Web data model with acceleration applied to the 'Web' dataset. This is because the search uses fields like `status`, `action`, `uri`, and `method`, which are standard, normalized fields within the Splunk Common Information Model (CIM) for web traffic. Accelerating the 'Web' dataset pre-computes the field extractions and aggregations, so future searches run faster and return consistent results without needing manual field definitions. On the SPLK-1002 exam, this question tests your understanding of how data model acceleration works with CIM to optimize search performance—a key skill for a Core Certified User. A common trap is selecting a different dataset (like "Search Summaries") or forgetting that acceleration must be applied to the specific dataset, not the entire data model. Memory tip: think "Web fields, Web acceleration"—if your search uses HTTP-related fields, always accelerate the 'Web' dataset.
SPLK-1002 Data Models and Best Practices Practice Question
This SPLK-1002 practice question tests your understanding of data models and best practices. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Exhibit
Refer to the exhibit.
index=web sourcetype=access_combined | stats count by status | where count > 1000
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?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use the CIM Web data model and accelerate the 'Web' dataset.
Option A is correct because the search shown uses fields like `status`, `action`, `uri`, and `method`, which are standard fields in the CIM Web data model. Accelerating the 'Web' dataset pre-computes the relevant field extractions and aggregations, making future searches faster and more consistent without requiring the user to manually define field extractions or transformations.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✓
Use the CIM Web data model and accelerate the 'Web' dataset.
Why this is correct
Correct: CIM Web data model covers web traffic and acceleration is set on datasets.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use the CIM Web data model and select 'Accelerate All Datasets' from the settings.
Why it's wrong here
Incorrect: There is no 'Accelerate All Datasets' option; each dataset must be individually configured.
✗
Create a new data model called 'Access' and enable acceleration on root events.
Why it's wrong here
Incorrect: Root events cannot be accelerated; only child datasets.
✗
Use the built-in 'Searches' data model to pre-compute the count and status fields.
Why it's wrong here
Incorrect: There is no 'Searches' data model in CIM.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Splunk often tests the misconception that 'Accelerate All Datasets' is a valid global setting, when in fact acceleration must be enabled individually on each dataset within a data model.
Detailed technical explanation
How to think about this question
Under the hood, the CIM Web data model normalizes web access logs into a consistent schema with fields such as `status`, `action`, `uri`, and `method`, which are automatically extracted from common web server formats (e.g., Apache, IIS). Acceleration works by creating a summary index for the specified dataset, which stores pre-aggregated results that can be queried instantly, bypassing the need to re-scan raw events. In a real-world scenario, a SOC analyst investigating repeated 403 status codes could run a `| datamodel Web search` and get results in seconds instead of minutes, even over terabytes of data.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the SPLK-1002 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Data Models and Best Practices — This question tests Data Models and Best Practices — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use the CIM Web data model and accelerate the 'Web' dataset. — Option A is correct because the search shown uses fields like `status`, `action`, `uri`, and `method`, which are standard fields in the CIM Web data model. Accelerating the 'Web' dataset pre-computes the relevant field extractions and aggregations, making future searches faster and more consistent without requiring the user to manually define field extractions or transformations.
What should I do if I get this SPLK-1002 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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