SPLK-1001 Practice Test 15 — 15 Questions

Question 1

A user wants to create a report that shows the top 5 most frequent error messages from the last 7 days. The search results should be sorted by count. Which search is correct?

Accepted Answer

error | top limit=5 message. The `top` command automatically counts the occurrences of each distinct value of the `message` field, sorts the results in descending order by count, and limits the output to the top 5 results. This directly fulfills the requirement of showing the top 5 most frequent error messages from the last 7 days, sorted by count.

Answer

error | top 5 message

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error | rare message | head 5

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error | stats count by message | sort -count

Question 2

Which THREE of the following are valid methods to access the Search & Reporting app in Splunk Web?

Accepted Answer

Click the 'Search' button on the Splunk Home page.. The Splunk Home page includes a prominent 'Search' button that directly opens the Search & Reporting app. This is the most common method for users to start searching data in Splunk Web.

Answer

Click the Splunk logo and select 'Search & Reporting' from the context menu.

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Use the keyboard shortcut Ctrl+Alt+S.

Question 3

A user runs a search and sees the results in the Statistics tab, but the events are not appearing. What is the most likely reason?

Accepted Answer

The search includes a transforming command like stats.. When a search includes a transforming command like `stats`, `chart`, or `timechart`, Splunk automatically converts the search results into a statistical table. This means the raw events are no longer displayed in the Statistics tab; instead, aggregated data is shown. The Events tab will be empty because the transforming command consumes the raw events to produce the statistical output.

Answer

The search is a scheduled search.

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The user does not have permission to view raw events.

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The time range is too narrow.

Question 4

During onboarding, a new user can't find any data in Splunk. They see 'No results found' for all searches. The data is being forwarded from a universal forwarder. What should they check first?

Accepted Answer

Check if the forwarder is configured to send to the correct indexer. The most common reason a universal forwarder sends data that never appears in Splunk is misconfiguration of the outputs.conf file. The forwarder must specify the correct indexer IP address or hostname and the receiving port (default 9997) using the TCP output stanza; if this is wrong, data is sent to the wrong destination or nowhere at all. Checking the forwarder's configuration first isolates whether data is even reaching the indexer tier before investigating other potential issues.

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Check if the user has admin role

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Check if the firewall is blocking ports

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Check if the search is using the correct time range

Question 5

A data model has been accelerated but some Pivot reports are showing incomplete data. What is the most likely cause?

Accepted Answer

The acceleration summary range does not cover the full time range of the report.. Data model acceleration creates a summary of events over a specific time range (default is last 7 days). If a Pivot report searches outside that acceleration summary range, it will only use the accelerated data within that range, resulting in incomplete data. Option B is incorrect because having many fields does not cause incomplete data; it may affect performance but not completeness. Option C is incorrect because normalization is about data structure, not acceleration coverage. Option D is incorrect because conflicting search-time field extractions do not affect acceleration summary completeness.

Answer

The data model has too many fields.

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The data model is not normalized.

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The search time field extractions are conflicting.

Question 6

A security analyst has created a report that shows the count of failed login attempts by user. The analyst now wants to display this data as a column chart on a dashboard. Which Splunk feature should be used to convert the report into a visualization?

Accepted Answer

Use the 'Save As Dashboard Panel' option on the report.. The 'Save As Dashboard Panel' option on a report directly converts the report's search and visualization settings into a dashboard panel, preserving the column chart configuration. This is the intended workflow in Splunk for turning a saved report into a reusable dashboard visualization without manual reconfiguration.

Answer

Schedule the report to run and then export the results as a PDF.

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Convert the report to an alert and then add it to the dashboard.

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Copy the report's search string and paste it into a new dashboard panel.

Question 7

In Splunk, which of the following is true about fields?

Accepted Answer

Fields are extracted at search time from raw data. In Splunk, fields are extracted at search time from raw data using the Search Processing Language (SPL) and the default field extraction rules. This allows Splunk to dynamically identify and index field-value pairs without requiring predefined schemas, enabling flexible ad-hoc analysis of unstructured or semi-structured data.

Answer

Fields must be manually defined before indexing

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Fields are only available after using the fields command

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All fields are predefined by Splunk

Question 8

Which TWO options are correct about post-process searches in dashboards?

Accepted Answer

They can reduce search load by reusing base search results. Post-process searches in Splunk dashboards are designed to reduce search load by reusing the results of a base search. Instead of running multiple independent searches against the raw index data, each post-process search operates on the already-completed base search results, which significantly improves dashboard performance and reduces resource consumption.

Answer

They support all SPL commands that base searches support

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They can override the time range of the base search

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They automatically inherit all fields from the base search

Question 9

A security analyst needs to find the number of failed login attempts per user. Which command group should be used?

Accepted Answer

stats count by user. The `stats count by user` command is correct because it groups events by the `user` field and calculates the count of events (failed login attempts) for each user, producing a table with two columns: `user` and `count`. This directly answers the requirement to find the number of failed login attempts per user using a transforming command that aggregates data.

Answer

top failed_login user

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chart count by user

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sort - count

Question 10

Refer to the exhibit. The search is expected to produce a count of HTTP status codes grouped into categories. However, the results show a column 'status' instead of 'status_category'. What is the problem?

Accepted Answer

The first 'stats count by status' is unnecessary; the eval should be applied first, then stats.. The search pipeline first uses `stats count by status`, which consumes the raw `status` field and outputs only the `status` and `count` fields. The subsequent `eval` command then tries to create `status_category` from `status`, but `status` still exists after the first `stats` (it is the group-by field). The real issue is that the `eval` should be placed before the first `stats` so that the categorization happens on the raw `status` values, and then `stats count by status_category` can aggregate by the new field. The first `stats` is unnecessary and disrupts the intended flow.

Answer

The eval command references a field 'status' that does not exist after the first stats.

Answer

The second stats command should be 'stats count by status'.

Answer

The eval command should use 'if' instead of 'case'.

Question 11

A small business uses Splunk to monitor their point-of-sale (POS) system. They have a data model named 'POS_Transactions' that is not accelerated. The owner wants to create a simple dashboard showing daily sales totals. They write a search using |tstats against the data model, but it returns 'No events found'. A plain search over the same index returns expected results. What should the owner do to resolve this?

Accepted Answer

Modify the search to use |tstats summariesonly=t or switch to using |datamodel or |search.. The `|tstats` command requires an accelerated data model by default; without acceleration, it returns no results because it queries the summary database, not the raw events. Option A correctly resolves this by either using `summariesonly=t` to force `|tstats` to search raw data or switching to `|datamodel` or `|search` which operate directly on the index. This aligns with Splunk's behavior where `|tstats` is optimized for accelerated summaries but can be overridden to access raw events.

Answer

Enable acceleration on the data model and wait for the summary to build.

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Add a constraint to the root event to match POS logs.

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Change the time range to include the current day only.

Question 12

Refer to the exhibit. An administrator configures a default stanza in props.conf to assign the Authentication data model to all sourcetypes. Which issue might arise?

Accepted Answer

All events will be mapped to the Authentication data model, increasing resource usage and potential inaccuracies.. Setting a default stanza in props.conf to assign the Authentication data model to all sourcetypes forces every event to be processed against that data model, regardless of whether the event contains authentication-related data. This increases resource consumption (CPU and memory) because the data model's field extractions and transformations are applied universally, and it can lead to inaccurate results as non-authentication events may produce false positives or incomplete mappings. The correct approach is to use specific sourcetype stanzas or tags to limit data model assignment to relevant events.

Answer

Only authentication tagged events will be included.

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The data model will work correctly for all events if they contain authentication fields.

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The data model acceleration will automatically adjust.

Question 13

A Splunk admin configured a CSV-based lookup to map device IP addresses to location data. The lookup 'devices.csv' has columns 'ip', 'building', 'floor'. In props.conf, they set: `LOOKUP-1 = devices ip OUTPUT building floor`. In transforms.conf: `[devices] filename = devices.csv`. The search over sourcetype 'network_logs' returns events with the 'ip' field, but 'building' and 'floor' are missing. The admin confirms the CSV file exists and has data. What is the most likely issue?

Accepted Answer

The props.conf LOOKUP-1 syntax is incorrect; the definition should be `LOOKUP-1 = devices` only, and the match/output fields should be defined in transforms.conf.. The `LOOKUP-1` definition in `props.conf` incorrectly includes the match and output fields. The correct syntax is `LOOKUP-1 = devices` only, with the match field (`ip`) and output fields (`building`, `floor`) defined in the `transforms.conf` stanza under `[devices]` using `external_type = csv`, `filename = devices.csv`, `match_type = WILDCARD(ip)`, and `default_match = NONE`. The admin's syntax causes Splunk to ignore the lookup configuration entirely, so no fields are added.

Answer

The CSV file is too large and the lookup is not being loaded.

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The 'ip' field is not properly extracted from the sourcetype.

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The lookup file is not accessible from the search head because it is stored on a different host.

Question 14

A Splunk admin is tasked with creating a dashboard that shows the top 10 error codes from application logs. The logs contain a field 'error_code' which is extracted automatically. The admin writes the search: index=app sourcetype=app_log | top limit=10 error_code. The dashboard shows the correct data, but the admin wants to add a drilldown that passes the selected error code to another search. The admin considers using the 'fields' command to keep only error_code, the 'table' command to display the data, the 'eval' command to create a new field, or the 'stats' command to count. Which change should the admin make to the search to enable the drilldown functionality?

Accepted Answer

Replace top with table error_code, count. The `table` command produces a tabular output that inherently supports drilldown in Splunk dashboards by preserving the raw event data and field values. When you use `table error_code, count`, the dashboard can pass the selected `error_code` value to another search via a token. The original `top` command aggregates data into a statistical summary that does not retain the raw event structure required for standard drilldown behavior.

Answer

Add a stats count by error_code

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Replace top with fields to keep only error_code

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Add an eval command to create a clickable link

Question 15

A Splunk user wants to see a list of all fields that are extracted from events of sourcetype 'apache_access'. They need to know which fields are available for use in searches and lookups. Which command should they use to discover all fields automatically extracted by Splunk for that sourcetype?

Accepted Answer

Use the search 'sourcetype=apache_access | fields' to list all fields in a few sample events. The `| fields` command, when used without arguments, lists all fields present in the search results. By searching `sourcetype=apache_access` and piping to `| fields`, Splunk returns a table of all extracted fields (both default and custom) from the events of that sourcetype, allowing the user to see which fields are available for searches and lookups.

Answer

Use the 'extract' command with no arguments to show all extracted fields

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Use the 'regex' command with a capturing group to identify fields

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Use the 'inputlookup' command to display field names