SPLK-1001 Practice Test 33 — 15 Questions

Question 1

An analyst wants to use a lookup to enrich events only if a condition is met, e.g., only for events where `status=error`. Which search pattern is most efficient?

Accepted Answer

`index=main | where status="error" | lookup error_codes.csv code description`. It filters events with `where status="error"` before the `lookup` command, reducing the dataset that the lookup must process. This minimizes resource usage and improves search performance, as the lookup only runs against the relevant subset of events. In Splunk, placing filters early in the pipeline is a best practice for efficiency.

Answer

`index=main | lookup error_codes.csv code description | where status="error"`

Answer

`index=main | lookup error_codes.csv code description if(status="error")`

Answer

`index=main | inputlookup error_codes.csv | where status="error"`

Question 2

A user wants to create a lookup table to enrich events with customer information. Which file format is NOT supported for a classic CSV-based lookup?

Accepted Answer

XLSX. Classic CSV-based lookups in Splunk only support delimited text files such as CSV (comma-separated) and TSV (tab-separated). XLSX is a binary Excel format that is not supported for classic CSV-based lookups; it requires a different lookup type (e.g., a KV store lookup or a scripted lookup) or must be converted to CSV first. JSON is also not supported for classic CSV-based lookups; it requires a KV store lookup or a scripted lookup. Therefore, both B (XLSX) and D (JSON) are NOT supported formats.

Answer

TSV

Answer

CSV

Question 3

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 4

Refer to the exhibit. An administrator notices that searches against the 'sample_index' index return events older than 24 hours, while searches against other indexes do not. What is the most likely explanation?

Accepted Answer

The maxGlobalTimeFieldSec setting for 'sample_index' is much higher than the default.. The `maxGlobalTimeFieldSec` setting in indexes.conf controls the maximum age (in seconds) of events that can be returned by a global search (i.e., a search without an explicit time range). If this value is set much higher than the default (which is typically 86400 seconds, or 24 hours), searches against that index will return events older than 24 hours even when no time range is specified. This explains why only 'sample_index' shows older data.

Answer

The default stanza sets a maxGlobalTimeFieldSec that applies to all indexes, but is overridden incorrectly.

Answer

The index 'sample_index' has a replication factor set that allows older data.

Answer

The search time range is configured in the search itself to include older data for that index.

Question 5

A search uses `eval memory_MB = memory_bytes / 1024 / 1024`. The field memory_bytes contains values like '2,048,000'. The eval results memory_MB is often null. What is the most likely cause?

Accepted Answer

The field is actually a string with commas.. The `memory_bytes` field contains values like '2,048,000', which include commas. In Splunk, fields with commas are treated as strings, not numeric values. When `eval` attempts arithmetic division on a string field, it returns null because the operation cannot be performed on non-numeric data. The commas must be removed (e.g., using `replace` or `tonumber`) before the field can be used in calculations.

Answer

The eval command has a syntax error.

Answer

The field needs to be converted first.

Answer

The division operator does not work on string fields.

Question 6

Which tab in the Search app should be used to view the raw events in their original format?

Accepted Answer

Events. The Events tab in the Search app displays raw events in their original format, showing the complete log line as indexed by Splunk. This tab is the default view when running a search and provides the full event data without any aggregation or transformation.

Answer

Patterns

Answer

Statistics

Answer

Visualization

Question 7

Refer to the exhibit. What is the effect of this command?

Accepted Answer

Configures a data output to the specified server. The command `splunk add forward-server :` configures a forwarder to send data to a specified receiving indexer or heavy forwarder. This is the standard way to set up data output from a universal forwarder to a Splunk indexer, making option A correct.

Answer

Restarts Splunk

Answer

Enables SSL for forwarding

Answer

Adds a forwarder to receive data

Question 8

Which TWO of the following are valid methods to convert a saved search into a report in Splunk?

Accepted Answer

Click 'Reports' in the app bar, then 'Create New Report', and select 'From an existing saved search'.. Splunk provides a dedicated workflow to create a report from an existing saved search via the 'Reports' page. By clicking 'Create New Report' and selecting 'From an existing saved search', you can directly convert the saved search's query and settings into a report object, preserving the search logic and scheduling. This method is explicitly supported in Splunk's UI for report creation.

Answer

On the search results page, click the 'Save As' button and select 'Report'.

Answer

Open the saved search, click 'Edit', then select 'Convert to Dashboard Panel'.

Answer

From the 'Job Manager', select the job and click 'Convert to Report'.

Question 9

A new Splunk admin wants to reduce the time it takes to run reports on a large dataset. They have enabled acceleration on a data model. Which of the following is a best practice to maximize acceleration benefits?

Accepted Answer

Enable acceleration on the data model and schedule a periodic summary rebuild.. Enabling acceleration on a data model and scheduling a periodic summary rebuild ensures that the acceleration summaries are kept up-to-date without manual intervention. This maximizes the benefit of acceleration by pre-computing aggregations for the data model's root search, allowing reports to run against the smaller, optimized summary rather than the raw dataset, which significantly reduces query time.

Answer

Add more indexers to the cluster to increase the speed of data model acceleration.

Answer

Limit the data model to only the most recent 7 days of data to reduce summary size.

Answer

Create a separate acceleration summary for each search using the |accelerate command.

Question 10

A dashboard includes a time range picker. When a user selects 'Last 7 days', one panel does not update its data accordingly. What is the most likely cause?

Accepted Answer

The panel's search uses a hard-coded time range like earliest=-30d.. When a dashboard has a time range picker, each panel's search must reference the picker's time tokens (e.g., `$time$` or `$earliest$`/`$latest$`) to dynamically inherit the selected range. Option B is correct because a hard-coded time range like `earliest=-30d` overrides the picker, causing the panel to ignore the user's selection of 'Last 7 days' and always show data from the last 30 days.

Answer

The panel has insufficient permissions to access the data.

Answer

The dashboard time picker is set to 'All time'.

Answer

The panel is based on a scheduled report.

Question 11

Which TWO factors should be considered when deciding to use the rare command instead of top?

Accepted Answer

The dataset has high cardinality in the field of interest. The `rare` command is specifically designed to return the least common values of a field, making it ideal for high-cardinality fields where the `top` command would produce a long, less useful list of many low-frequency values. When a field has high cardinality (many unique values), `rare` helps surface the infrequent events that might be missed by `top`, which focuses on the most frequent values. This aligns with the use case of identifying outliers or anomalies in datasets with many distinct field values.

Answer

Rare is faster than top

Answer

Top is always preferred for security analysis

Answer

The user wants to view results sorted alphabetically

Question 12

A security analyst wants to count the number of unique users who have logged in over the past week. Which field-based command should they use?

Accepted Answer

index=main sourcetype=login | dedup user | stats count. It first uses `dedup user` to remove duplicate user values, leaving only unique users, and then `stats count` to count the remaining events, which effectively counts the number of unique users who logged in over the past week. This approach ensures each user is counted only once, meeting the requirement for a unique count.

Answer

index=main sourcetype=login | stats sum(user)

Answer

index=main sourcetype=login | stats count by user

Answer

index=main sourcetype=login | top user

Question 13

Refer to the exhibit. A user runs a search with `| lookup excel_lookup product_id OUTPUT sales_rep`. For a product_id that exists in the CSV but with a different case (e.g., "ABC123" vs "abc123"), what will be the value of the `sales_rep` field after the lookup?

Accepted Answer

"N/A" because the case does not match and default_match is set.. The `| lookup` command in Splunk is case-sensitive by default. When the product_id in the event has a different case than the lookup file, the lookup fails to find a match. If the lookup definition has `default_match` set to a value like 'N/A', that default value is returned for the `sales_rep` field instead of the actual lookup value.

Answer

The correct sales_rep from the lookup.

Answer

An error because case mismatch.

Answer

An empty string because no match.

Question 14

An analyst needs to see the top 5 error codes by count. Which visualization is most appropriate?

Accepted Answer

Bar chart. A bar chart is the most appropriate visualization for comparing the count of distinct error codes because it allows easy comparison of categorical data (error codes) against a numeric value (count). In Splunk, the `top` command or `stats count by error_code` produces results that are best visualized with a bar chart to show the relative frequency of each error code, and the chart can be limited to the top 5 by setting the limit in the search or chart properties.

Answer

Pie chart

Answer

Line chart

Answer

Single Value

Question 15

An analyst executes the following search: index=main sourcetype=access | stats dc(user) by host. What does dc(user) do?

Accepted Answer

Distinct count of users per host. The `dc(user)` function in SPL stands for 'distinct count' of the `user` field. When used after `stats ... by host`, it calculates the number of unique users associated with each host. This is why option B is correct: it returns the distinct count of users per host.

Answer

Count of hosts

Answer

Count of all users

Answer

Sum of user IDs