SPLK-1002 Data Models and Best Practices Practice Test 4 — 15 Questions

Question 1

A data model for web traffic has a child dataset 'Error_Pages' that should only include events with status code 5xx. The admin wants to ensure that when the data model is used with tstats, only these events are searched. Which definition should they use in the data model?

Accepted Answer

Add a constraint: status>=500 AND status<=599. Option A is correct because constraints in a Splunk data model define the base search that restricts which events are included in a child dataset. By adding a constraint of `status>=500 AND status<=599`, the Error_Pages dataset will only contain events with HTTP status codes in the 5xx range. When `tstats` is used against this dataset, it automatically respects the constraint, ensuring only those events are searched without needing additional filters at query time.

Answer

Add a filter: status>=500 AND status<=599

Answer

Use a tag: error_tag for status>=500

Answer

Use a calculated field: error=(status>=500)

Question 2

An admin runs '| datamodel App_State' and receives the error 'No data model named 'App_State''. Which of the following is the most likely cause?

Accepted Answer

The data model exists in a different app whose permissions do not allow the admin to see it.. The error 'No data model named 'App_State'' occurs when the datamodel command cannot locate the specified data model. The most likely cause is that the data model exists in a different app context, and the admin's role permissions do not grant read access to that app, making the data model invisible to the search. In Splunk, data models are scoped to specific apps, and cross-app visibility is controlled by app-level permissions.

Answer

The data model has not been saved.

Answer

The data model exists but is not accelerated.

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The data model name is misspelled.

Question 3

A data model is set to accelerate with a summary range of 90 days. After some time, the administrator notices that the acceleration is using significant disk space. Which strategy would best reduce disk usage without losing the ability to quickly query the last 30 days of data?

Accepted Answer

Reduce the summary range to 30 days.. Option C is correct. Reducing the summary range to 30 days directly reduces the amount of data summarized, saving disk space while still allowing fast queries on recent data. Option A disables acceleration entirely, losing query performance. Option B increases range, worsening space. Option D is not a valid setting.

Answer

Set the acceleration to use a shorter time window for complete summarization.

Answer

Increase the summary range to 180 days.

Answer

Disable acceleration for the data model.

Question 4

A data model 'Network_Traffic' currently has a single root dataset 'Traffic'. The administrator wants to add a child dataset 'Firewall_Logs' that only contains events from sourcetype=firewall. The admin also wants 'Firewall_Logs' to inherit all fields from 'Traffic'. Which approach should they follow?

Accepted Answer

Create 'Firewall_Logs' as a child of 'Traffic' and add a constraint: sourcetype=firewall.. Option C is correct because in Splunk data models, child datasets inherit all fields from their parent root dataset automatically. By creating 'Firewall_Logs' as a child of 'Traffic' and adding a constraint of `sourcetype=firewall`, the child dataset will only contain events matching that sourcetype while inheriting all field definitions from the parent 'Traffic' dataset. Constraints in data models filter events at search time, ensuring only relevant events appear in the child dataset.

Answer

Create 'Firewall_Logs' as a separate root dataset and add a constraint: sourcetype=firewall.

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Use the 'merge' function to combine the datasets.

Answer

Create 'Firewall_Logs' as a child of 'Traffic' and add a filter: sourcetype=firewall.

Question 5

An administrator wants to list all data models in the current app and see their acceleration status. Which command should they use?

Accepted Answer

| datamodel list. The `| datamodel list` command is the correct choice because it lists all data models in the current app context and displays their acceleration status, including whether acceleration is enabled, the acceleration schedule, and the last build time. This command is specifically designed for inventory and status reporting of data models, not for searching or inspecting individual model details.

Answer

| datamodel info

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| datamodel search

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| datamodel show

Question 6

Which TWO of the following are best practices when designing data models in Splunk?

Accepted Answer

Use fixed field names across datasets to avoid confusion.. Option A is correct because using fixed field names across datasets ensures consistency and predictability when searching and reporting across multiple data sources. This practice simplifies data model design, reduces the need for field aliasing, and prevents confusion when the same logical field (e.g., 'status') is named differently in different sourcetypes. Splunk's data model acceleration and pivot functionality rely on stable field names to function correctly.

Answer

Set acceleration for all data models regardless of usage.

Answer

Use the 'auto-extract' feature to generate fields dynamically.

Answer

Create a separate data model for each sourcetype.

Question 7

Which THREE of the following statements about data model acceleration are true?

Accepted Answer

Accelerated data models consume disk space.. Option A is correct because accelerated data models store pre-computed summary tables on disk, which consume disk space. These summaries are built by the acceleration process and persist until the summary range expires or the data model is re-accelerated.

Answer

Accelerated data models cannot be used with the '| tstats' command.

Answer

The acceleration process can be scheduled to run at specific times.

Question 8

Which THREE of the following are valid reasons to use data models instead of raw searches?

Accepted Answer

To improve query performance through acceleration.. Option B is correct because data model acceleration pre-computes and stores summarized data in the form of a tsidx file, which significantly reduces the time needed to run searches against large datasets. This acceleration is enabled by creating a data model and then running a summary search that populates the acceleration index, allowing subsequent searches to use the pre-aggregated data rather than scanning raw events.

Answer

To provide real-time indexing of data.

Answer

To enforce role-based access control on specific fields.

Question 9

Refer to the exhibit. An admin is trying to accelerate this data model, but receives an error: 'Data model 'Authentication' has no constraints.' What is the most likely cause?

Accepted Answer

The constraint is missing the dataset name.. The error 'Data model 'Authentication' has no constraints' occurs because the constraint definition in the data model is missing the dataset name prefix. In Splunk data models, constraints must specify which dataset they apply to (e.g., 'Authentication.action=*' instead of just 'action=*'), otherwise the data model cannot enforce the constraint and fails validation.

Answer

The data model name must be in uppercase.

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The field 'action' is not allowed in a data model.

Answer

The constraint is defined at the root level incorrectly.

Question 10

Refer to the exhibit. An admin sees that the Web_Traffic data model is accelerated but shows 'Summaries require rebuild'. What does this status indicate?

Accepted Answer

The data model definition has been modified and acceleration needs to be rebuilt.. When a data model is accelerated and shows 'Summaries require rebuild', it indicates that the data model definition has been modified (e.g., fields, constraints, or root events changed) since the last summary build. Splunk detects this change and marks the acceleration summaries as stale, requiring a rebuild to ensure query results reflect the updated definition. This is a built-in mechanism to maintain data integrity between the model and its accelerated summaries.

Answer

The disk space for acceleration is full.

Answer

The summary range is too short and needs to be extended.

Answer

The acceleration summaries are up to date and optimal.

Question 11

Refer to the exhibit. An analyst receives this error when running a tstats search. Which of the following is the most likely cause?

Accepted Answer

The data model name or dataset is misspelled.. The error message in the exhibit indicates that the tstats command cannot find the specified data model or dataset. This typically occurs when the name provided in the 'datamodel=' argument does not match any existing accelerated data model or dataset in Splunk. Option B is correct because a misspelling or incorrect casing in the data model name or dataset is the most common cause of this specific error.

Answer

The syntax should use 'datamodel' as a separate argument without equals sign.

Answer

The analyst does not have permission to use tstats.

Answer

The data model is not accelerated.

Question 12

A security analyst wants to accelerate a frequently run search that uses the `Authentication` data model. Which best practice should they follow to ensure the acceleration consumes minimal disk space?

Accepted Answer

Use data model acceleration with summarization enabled.. Option A is correct because data model acceleration with summarization enabled pre-computes and stores aggregated results for the `Authentication` data model, which reduces the disk space required compared to storing raw events. Summarization creates compact, time-based buckets of statistical data rather than full event copies, minimizing storage overhead while still accelerating frequently run searches.

Answer

Set the acceleration summary range to include all historical data.

Answer

Disable acceleration and rely on raw search.

Answer

Create a separate index for the data model events.

Question 13

A team is designing a data model for IT operations. They have fields like `src_ip`, `dest_ip`, `user`, and `action`. Which best practice should they follow when naming the root event dataset?

Accepted Answer

Use camelCase, e.g., 'itOperations'.. Option A is correct because Splunk data model root event dataset names must follow camelCase naming conventions to ensure compatibility with the Splunk search language and to avoid parsing issues. CamelCase prevents spaces and special characters that could break field references in searches and data model acceleration.

Answer

Use underscores and numbers for clarity.

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Use a short abbreviation like 'ITOps'.

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Use a generic name like 'events'.

Question 14

An administrator notices that a data model with acceleration is not returning results for a specific time range. The search uses `| datamodel` command. The summary range is set to 30 days. What is the most likely cause?

Accepted Answer

The search time range exceeds the summary range of the acceleration.. When a data model is accelerated with a summary range of 30 days, the acceleration only precomputes and stores aggregated results for events within that 30-day window. If the search time range exceeds 30 days, the `| datamodel` command cannot use the accelerated summaries for the older data, and it must fall back to searching the raw data. However, if the acceleration is configured to only use summaries (e.g., with `summariesonly=t`), or if the raw data is not available, the search will return no results for the out-of-range period. The most likely cause given the scenario is that the search time range extends beyond the 30-day summary range, making the acceleration ineffective for that portion of the search.

Answer

The acceleration has overwritten the original raw data.

Answer

The `| datamodel` command requires the `summariesonly=t` argument to use acceleration.

Answer

The data model has a constraint that excludes the specific time range.

Question 15

An analyst creates a pivot from the `Authentication` data model. Which of the following is a valid reason to use a pivot instead of a search?

Accepted Answer

Pivots provide a graphical interface for non-technical users.. Option A is correct because pivots in Splunk provide a graphical, drag-and-drop interface that allows non-technical users to create reports and visualizations without needing to write SPL queries. This is a key advantage of pivots, as they abstract away the complexity of search syntax by leveraging the structure of a data model.

Answer

Pivots can be created without a data model.

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Pivots can be used to create real-time alerts.

Answer

Pivots are faster than any search.