SPLK-1004 Data Models And CIM Practice Test 5 — 15 Questions

Question 1

A Splunk user is working with the CIM and notices that a data model contains a dataset named 'Authentication' and another named 'Failed_Authentication'. What is the relationship between these two datasets?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Failed_Authentication is a child dataset of Authentication, inheriting its fields and adding constraints.. In the CIM, datasets can have parent-child relationships. Failed_Authentication is a child of Authentication, meaning it inherits all fields and adds constraints to select only failed events. This allows for consistent field usage and efficient searches. The other options incorrectly describe the hierarchy or lack thereof.

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Authentication is a child dataset of Failed_Authentication, inheriting its fields.

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They are unrelated datasets that happen to share similar field names.

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They are independent root datasets that both contain authentication events.

Question 2

A Splunk administrator needs to ensure that a data model's acceleration summary is not rebuilt unnecessarily, to conserve system resources. The data model has a root event object and several child objects. The administrator notices that the acceleration job runs frequently and takes a long time. What should be evaluated to optimize the acceleration?

Accepted Answer

The acceleration time range and the acceleration schedule, to align them with the actual data update frequency and required latency.. To avoid unnecessary acceleration rebuilds, the acceleration time range and schedule should be tuned to match how often the underlying data changes and the required data freshness. If data is updated infrequently, a less frequent schedule is sufficient, reducing resource usage.

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The indexer's replication factor, because higher replication increases the amount of data to accelerate.

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The search head's concurrent search limits, as acceleration jobs may be queued and delayed.

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The number of fields in the data model, because having more fields always increases acceleration time.

Question 3

A Splunk administrator is reviewing a newly created data model and notices that the root event object has child objects for authentication and network traffic. The administrator wants to understand the relationship between these objects. What does the hierarchical structure of a data model represent?

Accepted Answer

Child objects inherit the constraints and fields of their parent, and additional constraints narrow the dataset.. A data model's hierarchical structure enables inheritance: child objects inherit the base search and field definitions of their parent and then apply additional constraints to create a more specific dataset. This design lets the root event object define common fields while children like Failed_Authentication_Attempts narrow the event set. The hierarchy is functional, affecting which events and fields are available in Pivot.

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The hierarchy defines the order in which searches are executed when the model is used in Pivot.

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Each child object represents a separate index that must be searched independently.

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The hierarchy is only for organizational display in the Data Model Editor and has no effect on search results.

Question 4

An analyst runs a Pivot report on the Authentication data model and notices that the 'action' field shows values like 'success' and 'failure', but the underlying raw events contain a field named 'status' with values 'Success' and 'Failed'. The analyst wants to understand why the field labels differ from the raw event field names. What is the primary reason for this discrepancy?

Accepted Answer

The data model's field definitions include an eval expression that extracts and normalizes the 'status' field into the CIM-compliant 'action' field.. The data model defines a field named 'action' with an eval expression that maps the raw 'status' values to CIM-compliant terms like 'success' and 'failure'. This is a common practice to normalize data from different sources. The raw events remain unchanged; the data model provides a layer of abstraction that presents standardized fields for Pivot and tstats searches. This abstraction is why the field labels differ from the raw event field names.

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The data model applies a field alias that renames 'status' to 'action' during the data model acceleration process.

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The raw events are parsed by a transform that renames 'status' to 'action' at index time, so the data model sees the renamed field.

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The Pivot interface automatically renames fields to match the CIM, regardless of the data model's field definitions.

Question 5

A security analyst needs to correlate authentication events across multiple sourcetypes, including Windows Security Event Logs, Linux secure logs, and VPN logs. The analyst wants to use a data model that normalizes these events into a common schema so that a single correlation search can run against all sources. Which CIM data model should the analyst use?

Accepted Answer

Authentication. The Authentication data model in the Common Information Model (CIM) is purpose-built to normalize authentication events from disparate sources into a consistent set of fields. By mapping Windows Security logs, Linux secure logs, and VPN logs to this data model, the analyst can write a single correlation search that leverages normalized fields such as user, src, dest, and action. This eliminates the need for sourcetype-specific parsing and enables cross-source correlation.

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Endpoint

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Intrusion Detection

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Network Traffic

Question 6

A Splunk administrator is reviewing the performance of several data models and wants to optimize them for acceleration. The administrator plans to make changes to the data models to improve acceleration efficiency. Which of the following actions would likely improve data model acceleration performance? (Choose two.)

Accepted Answer

Reducing the number of fields in the data model by removing unnecessary fields.. Reducing the number of fields and adding constraints both reduce the volume of data that must be summarized during acceleration. Fewer fields mean less data to store and process, while constraints filter out events that do not need to be accelerated. These actions lead to smaller summary files and faster acceleration times.

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Enabling acceleration on all data models simultaneously to share resources.

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Increasing the acceleration summary range to cover all time.

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Using a shorter acceleration interval to refresh summaries more frequently.

Question 7

A Splunk administrator is configuring a new data model to accelerate a large volume of firewall logs. The administrator wants to ensure that the acceleration summary files are as small as possible while still supporting the required searches. Which of the following actions would best achieve this goal?

Accepted Answer

Accelerate only the specific event objects and fields that are required for the planned searches, and set a shorter acceleration time range.. To minimize summary file size, you should accelerate only the essential data model objects and fields, and restrict the acceleration time range to the period that requires fast searching. This reduces the volume of data that is summarized and stored. Accelerating everything or extending the time range increases storage usage. Infrastructure improvements do not affect summary file size. Selective acceleration is the most effective strategy for balancing performance and storage.

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Set the acceleration time range to cover the entire retention period of the index.

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Enable acceleration on all root event objects and child objects to ensure comprehensive coverage.

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Use a high-performance indexer and increase the number of search heads to distribute the acceleration load.

Question 8

A Splunk power user is troubleshooting a data model acceleration that has stopped generating new summary data. The user checks the Data Model Acceleration settings and the model is enabled and set to accelerate. Which two actions should the user take to resolve the issue? (Choose two.)

Accepted Answer

Check the _internal index for messages from the DataModelAcceleration and search scheduler to identify errors or skipped runs.. Acceleration failures often stem from missing capabilities or errors logged in _internal. Checking that the role has accelerate_datamodel and reviewing _internal for DataModelAcceleration messages will pinpoint the cause. These steps are non-destructive and directly address common permission and scheduling issues that prevent summary generation.

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Restart the search head to clear any stuck acceleration jobs.

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Increase the Max Time setting to 1 year to force a full rebuild of the summary.

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Delete the data model and recreate it from scratch to reset the acceleration state.

Question 9

A Splunk user is working with the 'Authentication' data model and wants to create a report that shows the number of failed login attempts by user. The user opens the Pivot interface and selects the 'Authentication' data model. Which of the following steps should the user take to create the report?

Accepted Answer

Drag the 'user' field to the 'Split Rows' area, drag the 'action' field to the 'Filter' area, and set the filter to 'failure', then click 'Save As' and choose 'Report'.. To create a report showing failed login attempts by user, you need to filter the events to only failures and then split by user to count. In Pivot, this is done by adding a filter on the 'action' field for 'failure' and splitting rows by the 'user' field. Saving as a report preserves this configuration.

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Drag the 'user' field to the 'Split Columns' area, drag the 'action' field to the 'Split Rows' area, and then save as a report.

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Drag the 'action' field to the 'Filter' area, set it to 'failure', then drag the 'user' field to the 'Column Values' area, and save as a report.

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Drag the 'user' field to the 'Split Rows' area, then in the search bar add 'action=failure', and save as a report.

Question 10

A Splunk power user needs to create a report that correlates web proxy logs with authentication logs to identify users who accessed a specific URL after a failed login. The user wants to use the CIM to normalize field names across both data sources. Which CIM data models should be used to extract the relevant fields?

Accepted Answer

Web and Authentication data models.. The Web data model supplies normalized web access fields such as url and http_method, while the Authentication data model supplies login outcomes including failed attempts. Both share the user field, enabling correlation. Using these two CIM models ensures field names are consistent across proxy and authentication logs, simplifying the search.

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Network_Traffic and Authentication data models.

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Web and Intrusion_Detection data models.

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Authentication and Endpoint data models.

Question 11

A Splunk architect is designing a data model that will be accelerated and used by many Pivot users. The architect wants to minimize the time it takes for Pivot users to see new data. What should the architect consider when configuring the acceleration?

Accepted Answer

Configure the acceleration to run at a short interval, such as every 5 minutes, and set the time range to cover the required historical period.. To minimize the delay before new data appears in Pivot, the acceleration interval should be short, such as every 5 minutes, so summaries are rebuilt frequently. The time range should cover the period users need, balancing coverage and resource use. Acceleration is configured on the data model itself, and Pivot automatically uses the accelerated summaries.

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Set the acceleration time range to cover only the last 24 hours to reduce summary size.

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Use a summary index instead of data model acceleration to allow more frequent updates.

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Enable acceleration on all child objects individually to ensure each is updated separately.

Question 12

A Splunk power user is creating a data model and wants to add a field that calculates the duration of a session by subtracting the start time from the end time. The user wants this field to be available in Pivot and in tstats searches. What should the user do?

Accepted Answer

Create an eval-based calculated field in the data model.. The correct approach is to create an eval-based calculated field within the data model. This allows the user to define a new field using an expression that subtracts the start time from the end time. Calculated fields are evaluated at search time and are accessible in Pivot and tstats when the data model is accelerated. Other methods like field aliases, lookups, or regex extractions do not support arithmetic calculations on existing fields.

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Use a lookup to precompute the duration and add it as a field.

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Define a regex-based field extraction in the data model.

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Add a field alias in the data model.

Question 13

A Splunk administrator is troubleshooting a data model acceleration issue. The administrator notices that the acceleration summary for the 'Network_Traffic' data model is not up to date, and searches using tstats return stale results. Which two actions should the administrator take to resolve this issue? (Choose two.)

Accepted Answer

Verify that the data model is enabled for acceleration and that the acceleration schedule is properly configured.. Stale acceleration summaries typically occur when acceleration is not running successfully. The administrator should first verify that acceleration is enabled and the schedule is correct, and then review the acceleration logs for errors. These steps identify common issues like misconfiguration or search failures. Other actions like restarting the indexer or forcing a rebuild may be unnecessary or disruptive without first diagnosing the problem.

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Restart the Splunk indexer to force a full re-acceleration of all data models.

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Disable and re-enable acceleration for the data model to trigger a rebuild.

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Check the size of the acceleration summary and increase the disk space if necessary.

Question 14

A Splunk power user is using Pivot to analyze authentication events. The user wants to see the number of failed logins per user over the last 24 hours. Which CIM data model and object should be used to achieve this?

Accepted Answer

Authentication data model, Failed_Authentication object.. The Authentication data model is specifically designed for authentication events, including successful and failed logins. The Failed_Authentication object contains fields like `user` and `action`, enabling Pivot to count failed logins per user. This directly addresses the requirement.

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Web data model, Web_Sessions object.

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Intrusion_Detection data model, Attack object.

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Network_Traffic data model, All_Traffic object.

Question 15

A Splunk power user is building a data model for firewall logs. They want to include a calculated field that concatenates the source IP and destination IP into a single field named 'src_dest_pair'. The field should be available for Pivot users without them needing to write SPL. Which data model field type should they use?

Accepted Answer

Eval expression field. An eval expression field is designed for creating calculated fields within a data model using eval functions. It allows concatenation of existing fields, such as combining source and destination IPs into a new field. This field is then available in Pivot, enabling users to analyze the combined data without writing SPL. Other field types like lookup, regex, or object do not perform calculations on existing fields.

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Object field

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Lookup field

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Regex field