SPLK-1001 Practice Test 3 — 25 Questions

Question 1

A new user wants to start a search in Splunk Web. Which is the first step they should take?

Accepted Answer

Click into the search bar and type a query.. The search bar is the primary location to enter search queries in Splunk Web. Option B is wrong because 'Add Data' is for data ingestion, not searching. Option C is wrong because 'Settings' is for configuration, not initiating a search. Option D is wrong because 'Reports' lists saved searches, not the starting point for a new ad-hoc search.

Answer

Click on 'Add Data' to ingest logs.

Answer

Click on 'Settings' in the top menu bar.

Answer

Open the 'Reports' listing and select a saved search.

Question 2

Refer to the exhibit. A Splunk user is building a data model for Apache error logs. The configuration above extracts an error_type field. However, when previewing data in the data model, the error_type field is not available. What is the most likely cause?

Accepted Answer

The DEST_KEY is set to _meta, which does not make the field available for data models.. When DEST_KEY is set to _meta, the extracted field is stored in the internal metadata of the event rather than in the event's indexed fields. Data models rely on indexed fields that are part of the event's key-value structure, so fields stored in _meta are not accessible for data model field extraction or preview.

Answer

The regular expression in transforms.conf is incorrectly formatted.

Answer

The transforms.conf is in the wrong app context.

Answer

The transform name in props.conf does not match the transform name in transforms.conf.

Question 3

A company has a distributed Splunk environment with a single search head and 4 indexers. The data volume is approximately 50 GB per day across various sourcetypes. Users frequently run searches that span 'All time' (from the time picker), and these searches are taking significantly longer than expected. The search head shows high CPU usage during these searches, while indexers are moderately loaded. The administrator has verified that all indexers are healthy and that there are no network bottlenecks. The data is raw log data with minimal field extractions. Which course of action will most effectively improve search performance for these 'All time' searches?

Accepted Answer

Enable summary indexing and use the tstats command for searches over large time ranges.. Summary indexing pre-computes statistical data (e.g., counts, sums, averages) and stores it in a separate index. The `tstats` command queries these pre-aggregated summaries instead of scanning raw data, drastically reducing I/O and CPU load on the search head for 'All time' searches. This directly addresses the high CPU usage on the search head and the long search times caused by scanning 50 GB/day of raw logs.

Answer

Upgrade the search head to a larger instance with more CPU cores and memory.

Answer

Increase the number of indexers to 8 to distribute the search load more evenly.

Answer

Reduce the data retention period on the indexers from 90 days to 30 days.

Question 4

A user wants to create a Pivot report that counts failed login attempts by user and hour. Which data model dataset and fields are most appropriate?

Accepted Answer

Authentication dataset, fields: user, action, and use _time for hour. The Authentication dataset is specifically designed to store login-related events, and the 'action' field indicates success or failure. Using 'user' and '_time' (extracted to hour via time bucketing) allows counting failed attempts per user per hour. The other datasets either lack the necessary fields or are not focused on authentication events.

Answer

Web dataset, fields: user, status, time

Answer

Network_Traffic dataset, fields: user, dest, action

Answer

Authentication dataset, fields: user, action, src

Question 5

Refer to the exhibit. The search returns zero results. What is a likely cause?

Accepted Answer

The 'raw_data' field may not contain valid JSON. The 'spath' command extracts fields from JSON, but if 'raw_data' is not a valid JSON string, extraction fails. Also, 'search' after 'spath' should work, but if 'response.status' is not extracted, no results. The most common issue is that the field 'raw_data' might not exist or the JSON path is incorrect.

Answer

The 'spath' command should use 'output=response.status' to create the field

Answer

The search should be 'sourcetype=json_logs' first

Answer

The 'stats' command cannot use 'response.status' because it's not a field

Question 6

A newly created dashboard panel is not displaying data, showing only 'No results found'. The search query works correctly in the Search app. What is the most likely cause?

Accepted Answer

The dashboard's time range picker is set to a different range than the search was tested with.. The most common reason a dashboard panel shows 'No results found' despite the search working in the Search app is a mismatch in the time range. The dashboard's time range picker may be set to a different absolute or relative time (e.g., 'Last 15 minutes' vs. 'All time') than the search was tested with, causing the query to return no events within the dashboard's time boundary.

Answer

The dashboard has not been shared with the user's role.

Answer

The search contains a syntax error that is not caught by the dashboard editor.

Answer

The panel is not based on a saved report.

Question 7

Refer to the exhibit. An analyst runs this search and expects to see a table of status codes with their counts, filtered to those with count greater than 100. The search returns zero results even though there are many events. What is the most likely reason?

Accepted Answer

The rex command is incorrectly extracting the status_code field.. The rex command is incorrectly extracting the status_code field because the regular expression pattern does not match the actual format of the status codes in the events. If the pattern is wrong or the field is not captured correctly, the stats command will not find any values for status_code, resulting in zero results even though events exist. The where command then filters on a field that doesn't exist or is null, returning no rows.

Answer

The sourcetype should be 'access_combined' instead.

Answer

The stats command should use 'values(status_code)' instead.

Answer

The where command should be placed before the stats command.

Question 8

A dashboard has a radio button input that selects a sourcetype. The panel uses `index=web sourcetype=$source$`. However, when the user selects a sourcetype, the panel doesn't update. What is the most likely cause?

Accepted Answer

The token name in the search is `$source$` but the input token is named `sourcetype`.. The dashboard panel does not update because the token referenced in the search string (`$source$`) does not match the name of the radio button input. In Splunk, a dashboard input creates a token with the name specified in its `token` attribute. If the input's token is named `sourcetype`, the search must use `$sourcetype$` to reference its value. Using `$source$` means the search looks for a token that does not exist, so no substitution occurs and the panel remains static.

Answer

The search includes a `stats` command that ignores the token.

Answer

The panel is a single value panel that does not update dynamically.

Answer

The time range is too short and returns no events.

Question 9

Which THREE of the following are standard components of the Splunk Web Search interface? (Choose three.)

Accepted Answer

Field sidebar. The Field sidebar (B) is a standard component of the Splunk Web Search interface that displays extracted fields from search results, allowing users to click on field values to refine searches. It is always present by default in the Search & Reporting app, providing immediate access to field discovery and filtering without additional configuration.

Answer

Commands bar

Answer

Job Inspector

Question 10

Refer to the exhibit. The search runs but the user field is not modified. What is the most likely cause?

Accepted Answer

The function name is misspelled (should be lower).. The `lower()` function in Splunk's `eval` command is case-sensitive and must be written in lowercase. The exhibit shows `Lower(user)` with a capital 'L', which Splunk does not recognize as a valid function, so the `eval` command fails silently and the `user` field remains unmodified.

Answer

The eval command does not modify existing fields.

Answer

The search must be run over a time range.

Answer

The field must be referenced as 'user'.

Question 11

A user runs a search that returns thousands of results. They need to see only the first 100 events after sorting by time descending. Which command should they use?

Accepted Answer

sort - _time | head 100. The user needs the first 100 events after sorting by time descending. The `sort - _time` command sorts events in descending order by timestamp, and piping the result to `head 100` returns the first 100 events from that sorted list, which are the most recent 100 events. This is the correct approach because `head` returns events from the top of the result set, and sorting ensures the top events are the newest.

Answer

reverse

Answer

tail 100

Answer

head 100

Question 12

Which THREE of the following are transforming commands in Splunk?

Accepted Answer

stats. The `stats`, `timechart`, and `chart` commands are all transforming commands in Splunk because they convert raw event data into statistical results, typically producing a table or time-based chart. Unlike non-transforming commands (e.g., `search` or `eval`), these commands change the data structure from events to a summary, which is required for visualizations and further statistical processing.

Answer

search

Answer

eval

Question 13

A user wants to remove duplicate events based on the 'transaction_id' field, keeping only the first occurrence. Which command is appropriate?

Accepted Answer

dedup transaction_id. The `dedup` command removes duplicate events based on specified fields, keeping only the first occurrence by default. Since the user wants to keep the first occurrence of each unique `transaction_id`, `dedup transaction_id` is the correct and simplest approach.

Answer

fields - transaction_id

Answer

sort transaction_id | dedup transaction_id

Answer

uniq transaction_id

Question 14

When tagging events in Splunk to map them to a data model, which tag is used to associate events with a specific data model dataset?

Accepted Answer

tag::=. In Splunk, the tag syntax `tag::=` is used to map events to a specific dataset within a data model. The tag key is the data model name, and the tag value is the dataset name, which allows Splunk's data model acceleration to correctly categorize events for reporting and pivot use.

Answer

tag::datamodel=<dataset>

Answer

tag::<datamodel>=<value>

Answer

tag::<dataset>=<datamodel>

Question 15

An organization wants to define a data model that represents transaction-level data from multiple source types, including web logs and application logs. They need to ensure that the data model is scalable and easy to maintain. Which best practice should the admin follow when designing this data model?

Accepted Answer

Use child objects under a root event to represent different sourcetypes, and assign appropriate constraints.. Using child objects under a root event allows the admin to model transaction-level data from multiple sourcetypes (e.g., web logs, application logs) within a single data model, promoting scalability and maintainability. By assigning appropriate constraints to each child object, the admin ensures that only relevant events are included, while the root event provides a common structure for transaction analysis. This approach follows Splunk best practices for data model design, enabling efficient searches and reducing duplication.

Answer

Create separate data models for each sourcetype to avoid complexity.

Answer

Avoid using constraints to ensure all events are included in the data model.

Answer

Include all possible fields that might ever be needed in the data model to avoid future modifications.

Question 16

A large e-commerce company ingests 10 TB/day of web access logs into Splunk. They have enabled the CIM-compliant Web data model and created data model acceleration with a 90-day range. Users run reports using pivot to analyze HTTP status codes, client IPs, and URIs. Recently, two issues arose: (1) Pivot reports are returning incomplete or outdated results, sometimes missing data from the last few hours. (2) Acceleration summary size has ballooned to over 500 GB, causing search head performance degradation. The Splunk admin suspects that data model acceleration is not configured optimally. Upon inspection, the Web data model's root search contains a complex filter with multiple eval commands and lookups, and the acceleration time range is set to the same 90 days as the summary range. The admin also notices that the data model is defined as non-time-based, even though the events have timestamps and the pivot often uses time ranges. What is the best course of action to resolve both issues while maintaining accuracy and performance?

Accepted Answer

Change the data model to time-based, narrow acceleration range to 7 days, and simplify the root search by removing expensive eval/ lookups and using search-time field extractions instead.. Making the data model time-based allows acceleration to use time-bucketed summaries, which ensures recent data is included in pivot results and prevents incomplete results. Narrowing the acceleration range to 7 days reduces the summary size drastically (from 500+ GB to a manageable size), and simplifying the root search by removing expensive eval/lookups improves acceleration build performance and reduces overhead. This directly addresses both issues: incomplete recent data and excessive summary size.

Answer

Change the data model to time-based and set acceleration to 180 days to cover all data.

Answer

Keep the data model as non-time-based but reduce acceleration range to 30 days and add a constraint to filter out irrelevant events.

Answer

Disable acceleration for the Web data model and instead create an accelerated search report for each common pivot query.

Question 17

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'.. 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.

Answer

Use a short abbreviation like 'ITOps'.

Answer

Use a generic name like 'events'.

Question 18

A user wants to rename the field 'src_ip' to 'sourceIP' in all search results without modifying the raw data. Which method should they use?

Accepted Answer

Use the rename command: | rename src_ip as sourceIP. The `rename` command is the correct choice because it changes the field name in the search results without altering the underlying raw data. It operates on the field metadata in the search pipeline, allowing you to display 'sourceIP' instead of 'src_ip' for the duration of the search.

Answer

Use the eval command to assign src_ip to a new field sourceIP

Answer

Add an alias in props.conf

Answer

Use the fields command: | fields src_ip as sourceIP

Question 19

A user runs a search and uses `| lookup mylookup myfield OUTPUT myfield2`. The search returns events that have myfield values, but myfield2 is null. The lookup file has matching entries. What is the most likely issue?

Accepted Answer

The lookup definition is case-sensitive and the event values have different case.. The lookup definition in Splunk has a case-sensitivity setting. By default, lookups are case-insensitive, but if the lookup definition is configured to be case-sensitive, then the lookup will only match when the case of the event field value exactly matches the case in the lookup file. Since the events have myfield values but myfield2 is null, the lookup is failing to match due to case differences, even though the lookup file has matching entries.

Answer

The lookup definition is missing the max_matches setting.

Answer

The lookup file has duplicate keys.

Answer

The lookup command should use OUTPUTNEW instead of OUTPUT.

Question 20

A user has a lookup file containing employee email addresses and department names. They want to add the department field to search results containing the employee's email. Which command should they use?

Accepted Answer

lookup employee_department.csv email OUTPUT department. The `lookup` command is designed to enrich search results by matching a field in the events (e.g., email) against a lookup table (e.g., employee_department.csv) and outputting additional fields (e.g., department). Option B correctly uses the syntax `lookup employee_department.csv email OUTPUT department`, which performs a field-based lookup and appends the department field to matching events.

Answer

inputlookup employee_department.csv

Answer

eval department=employee_department(email)

Answer

outputlookup employee_department.csv