SPLK-1001 Exam Simulation — 65 Questions

Question 1

Drag and drop the steps to create a new Splunk index into the correct order.

Accepted Answer

Access the Indexes settings page, then enter the index name and other parameters, then click Save to create the index.. Creating a new index in Splunk involves accessing the Indexes settings page, specifying index parameters, and saving the configuration.

Answer

Enter index parameters first, then access the Indexes settings page, then click Save.

Answer

Access the Indexes settings page, then click Save, then enter index parameters.

Answer

Click Save first, then access the Indexes settings page, then enter index parameters.

Question 2

You are a Splunk analyst for a financial services firm. You need to create a weekly report for management showing the total transaction value and number of transactions per day, broken down by transaction type (credit, debit, transfer). The data is in index=transactions with fields: trans_date, trans_type, amount. The report should be sent via email every Monday morning at 8 AM. You have created a report with the search: `index=transactions | timechart sum(amount) by trans_type`. However, the timechart shows only one series because the trans_type field has multiple values. You need to fix the search so that it correctly separates by trans_type. Additionally, you need to schedule the report. What should you do?

Accepted Answer

Use `| eval trans_type=split(trans_type, ",") | mvexpand trans_type | timechart sum(amount) by trans_type`.. The trans_type field contains multiple values in a single field (e.g., 'credit,debit,transfer'), so you must first split the values using `split()` and then expand them with `mvexpand` before using `timechart` to correctly separate the series. This ensures each transaction type is treated as an individual event for the aggregation.

Answer

Add `| stats sum(amount) by _time, trans_type` before timechart.

Answer

Use `| chart sum(amount) by trans_type` instead of timechart.

Answer

Use `| makemv trans_type | timechart sum(amount) by trans_type`.

Question 3

A Splunk administrator receives a complaint that a saved search is slow. The search uses a lookup to enrich events with a CSV file that has 500,000 rows. Which optimization is most effective?

Accepted Answer

Filter events early using eval or where before applying the lookup.. Filtering events early with `eval` or `where` reduces the volume of data that must be processed by the lookup command. Since lookups perform a row-by-row match against a 500,000-row CSV, minimizing the number of events before the lookup drastically cuts I/O and CPU overhead, making the search faster.

Answer

Sort events by the lookup key field before the lookup command.

Answer

Convert the CSV lookup to a KV store lookup for faster access.

Answer

Increase the search time range to process more events at once.

Question 4

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

Accepted Answer

Accelerated data models consume disk space.. 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 5

You are a Splunk administrator at a large e-commerce company. The operations team has created a real-time dashboard to monitor website performance. The dashboard includes multiple panels: a line chart showing page load times over the last 60 minutes, a single value showing the number of active users, and a table listing the top 10 slowest pages. The dashboard refreshes every 30 seconds. Recently, users have reported that the dashboard is very slow to load and sometimes times out. The underlying searches are not accelerated. The dashboard uses a shared time range picker set to 'Last 60 minutes'. The index for web logs receives about 2 GB of data per hour. The team wants to improve performance without losing real-time capability. Which approach best addresses the problem?

Accepted Answer

Reduce the time range to 'Last 15 minutes' and keep the 30-second refresh.. Reducing the time range to 'Last 15 minutes' significantly decreases the volume of data each search must scan, which directly reduces search execution time and dashboard load time. Since the dashboard refreshes every 30 seconds, a shorter time range still provides near-real-time visibility while preventing timeouts. The underlying searches are not accelerated, so limiting the data scanned is the most effective immediate performance improvement.

Answer

Increase the refresh interval to 5 minutes to reduce search frequency.

Answer

Implement summary indexing for the searches and run them every 5 minutes.

Answer

Remove the single value panel to reduce the number of searches.

Question 6

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 7

A team creates a dashboard that uses a drop-down input to select a server. The dashboard slows down significantly when the input changes. What is the most likely cause?

Accepted Answer

The input's search is not using a summary index or accelerated data. A drop-down input that triggers a search each time the user selects a new value can cause significant performance degradation if the underlying search is not optimized. Using a summary index or accelerated data allows the dashboard to retrieve pre-computed results instead of running a full raw data search on every selection, reducing load on the search head and indexers.

Answer

The input is based on a report that runs every hour

Answer

The token name is too long

Answer

The input's results are cached too aggressively

Question 8

Refer to the exhibit. A security analyst runs a search to identify HTTP 500 errors over time. Which time period shows the highest count of 500 errors?

Accepted Answer

04:00:00 - 05:00:00. The exhibit shows the highest count of HTTP 500 errors occurring between 04:00:00 and 05:00:00, with a count of 89. This is determined by comparing the values for each hourly bucket: A: 23, B: 45, C: 67, D: 89. The highest value is 89, corresponding to the 04:00-05:00 time period.

Answer

00:00:00 - 01:00:00

Answer

01:00:00 - 02:00:00

Answer

03:00:00 - 04:00:00

Question 9

A large e-commerce company uses Splunk to monitor their web application. The operations team has noticed that the search for tracking user sessions is taking too long and consuming excessive resources. The current search is:

index=web sourcetype=access_combined
| stats count by clientip, sessionid, productid
| sort - count

The index contains over 10 billion events per day. The team wants to reduce the search time while still being able to identify the top 10 most active sessions (combinations of clientip and sessionid) that involve more than 5 product views. They also need to exclude any sessions that originated from internal IPs (10.0.0.0/8). Which approach would achieve this most efficiently?

Accepted Answer

Add 'clientip!=10.0.0.0/8' in the base search, then use 'stats count by clientip, sessionid', then 'where count>5', then 'sort - count | head 10'.. It filters out internal IPs early in the base search using `clientip!=10.0.0.0/8`, which reduces the dataset before any transformation. It then uses `stats count by clientip, sessionid` to aggregate sessions, applies `where count>5` to enforce the minimum product views, and finally sorts and limits to the top 10. This approach minimizes resource consumption by pushing filtering as early as possible and avoids unnecessary fields like `productid`.

Answer

Use 'eventstats count by clientip, sessionid' and then filter where count > 5, then sort and head.

Answer

Use the 'transaction' command to group events by clientip and sessionid, then filter by duration.

Answer

Add a 'where' command after stats to filter out internal IPs and use 'head 10' at the end.

Question 10

An analyst wants to compute the average response time for each server from web server logs. The field `response_time` is a string like '120ms'. What is the correct way to convert and compute?

Accepted Answer

eval response_num=replace(response_time, "ms", "") | eval response_num=response_num*1 | stats avg(response_num) by server. It first uses `replace` to strip the 'ms' suffix from the string field `response_time`, then multiplies the resulting string by 1 (`response_num*1`) to coerce it into a numeric type. Only after conversion can `stats avg(response_num) by server` compute a meaningful average. Without the numeric coercion, Splunk would treat the field as a string and either fail or produce incorrect results.

Answer

eval response_time=response_time + "0" | stats avg(response_time) by server

Answer

eval response_num=replace(response_time, "ms", "") | stats avg(response_num) by server

Answer

eval avg_response=avg(response_time)

Question 11

A Splunk admin wants to enrich web server logs with geographic location data based on IP addresses. Which approach should they use?

Accepted Answer

Configure a lookup definition and use lookup command. Splunk's lookup command, combined with a lookup definition that references a geographic IP-to-location database (such as MaxMind GeoLite2), allows the admin to enrich web server logs with fields like city, country, and coordinates based on the client IP address. This is the standard, efficient approach for IP geolocation enrichment in Splunk, as it leverages pre-built external data without requiring custom parsing or calculations.

Answer

Use rex to extract location from the IP

Answer

Use an eval command to calculate coordinates

Answer

Use fields command to add location

Question 12

A dashboard includes a single value visualization showing the total number of login failures. The number seems too high. Which common mistake could cause inflated counts?

Accepted Answer

Using `count` instead of `sum` when each event holds multiple failures. When a single event contains multiple login failures (e.g., a log line like 'Failed logins: 5'), using `count` merely counts the number of events, not the total failures. The `sum` command is required to aggregate the numeric field representing failures across events, giving the true total. This is a classic pitfall in Splunk where `count` (event count) is confused with `sum` (field value summation).

Answer

Using `dedup` before counting

Answer

Splitting by user without combining

Answer

Setting a too narrow time range

Question 13

A user wants to see the top 5 most common values of the 'action' field in the web access logs. Which command should be used?

Accepted Answer

top. The `top` command is designed to find the most frequent values of a field. By default, it returns the top 10 results, but you can specify `limit=5` to get the top 5 most common values of the 'action' field in web access logs.

Answer

rare

Answer

fields

Answer

sort

Question 14

Which of the following are true statements about using fields and lookups in Splunk? Choose all that apply. (There are four correct answers.)

Accepted Answer

Geospatial lookups require the lookup file to contain latitude and longitude coordinates and are typically used with the `| geom` command to visualize data on a map.. The first option is correct because lookup tables in Splunk allow you to add fields to events by matching a field in the event with a field in the lookup file, enriching the data. The second option is correct because the `| lookup` command supports both CSV files and KV store collections, enabling flexible data enrichment. The fourth option is correct because geospatial lookups require latitude and longitude coordinates and are used with the `| geom` command for map visualizations. The fifth option is correct because `| inputlookup` loads the entire lookup file into search results, allowing direct inspection or aggregation of lookup data.

Answer

Extracted fields using the `| rex` command are automatically added to the field sidebar and can be used in searches without any additional configuration.

Answer

Field aliases defined in props.conf can rename a field in search results without altering the raw data, but they are not applied retroactively to events indexed in the past.

Question 15

A user creates a dashboard with multiple panels. Some panels share the same search. To improve performance, what should the user do?

Accepted Answer

Define a base search and use post-process for each panel. Defining a base search and using post-process searches allows the dashboard to run the common search once and then apply different post-processing transformations on the same result set. This reduces the overall search load on the indexers and search head, improving performance by avoiding redundant data retrieval and aggregation for each panel.

Answer

Use post-process searches without a base search

Answer

Create separate searches for each panel with same query

Answer

Increase the time range to include more data

Question 16

A Splunk administrator notices that a new user cannot see any data in the Search & Reporting app, even though the user has the 'user' role. What is the most likely cause?

Accepted Answer

The user has not been granted access to any indexes.. The 'user' role in Splunk includes the 'search' capability by default, which allows users to run searches. However, even with the search capability, a user cannot see any data unless they have explicit read access to one or more indexes. Index-level access is controlled via roles, and the default 'user' role does not grant access to any indexes; it only provides the ability to search indexes that the user has been granted access to. Therefore, the most likely cause is that the new user has not been assigned to a role that includes index access.

Answer

The user does not have the 'search' capability.

Answer

The user is limited to viewing only saved searches.

Answer

The user is not using the correct time range.

Question 17

Which THREE of the following are valid uses of the 'eval' command? (Choose three.)

Accepted Answer

Concatenating two strings: eval fullname = firstname + " " + lastname. The 'eval' command can concatenate strings using the plus (+) operator, as shown in the example 'eval fullname = firstname + " " + lastname'. This creates a new field 'fullname' by combining the values of 'firstname', a space, and 'lastname'.

Answer

Grouping events by a field: eval by host

Answer

Sorting events by a field: eval sort by _time

Question 18

Which three of the following statements about lookup tables and their usage in Splunk are correct? (Choose three.)

Accepted Answer

A lookup table can be defined as a CSV file stored in the lookups directory of an app. The first three statements are correct. Lookup tables can be defined as CSV files stored in the lookups directory of an app, which is a standard method for creating static lookups. The `| inputlookup` command retrieves and returns the contents of a lookup table as search results, allowing you to inspect or use the data. Lookups can be configured to automatically enrich events during search time using the `lookup` command, which matches fields in events against the lookup table to add additional fields.

Answer

Lookup table files must always have a .csv extension and cannot be in other formats like .kvstore

Answer

The `| outputlookup` command is used to append data to an existing lookup file without any limitations

Answer

Lookups can only match on a single field; using multiple fields requires creating separate lookups

Question 19

Which TWO of the following are valid ways to share a Splunk dashboard?

Accepted Answer

Share via URL. Splunk dashboards can be shared via a direct URL, which allows other users with appropriate permissions to access the dashboard in their own Splunk instance. This method leverages Splunk's role-based access control to ensure only authorized users can view the shared content.

Answer

Send via email

Answer

Export as PDF

Answer

Clone dashboard

Question 20

Which of the following are components of the Splunk interface that can be used to refine and focus search results? (Choose all that apply. There are four correct answers.)

Accepted Answer

Search History. The Time Range Picker, Search bar, Fields sidebar, and Search History are all interface components in Splunk that directly allow users to refine and focus search results. The Time Range Picker restricts results to a specific time window, the Search bar is where queries are entered and modified, the Fields sidebar enables selection and filtering of specific fields, and Search History allows reusing or refining past searches. These four tools are integral to iterative search refinement in Splunk's Search & Reporting app.

Answer

Job Inspector

Answer

Data Summary tab