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| Section | Weight | Objectives |
|---|---|---|
| Exploring Splunk's Search Processing Language | 15% | - Using transactions - Using workflow actions - Using tags and event types - Using search macros - Using advanced search commands |
| Exploring Search Optimization | 10% | - Using tsidx files - Using summary indexing - Using search optimization techniques - Using report acceleration |
| Exploring Lookups | 4% | - Understanding best practices for lookups - Using KV Store lookups - Using external lookups - Applying advanced lookup options - Including and excluding events based on lookup values - Using geospatial lookups |
| Exploring Field Extractions | 10% | - Creating custom fields - Using calculated fields - Using field aliases - Using the Field Extractor |
| Exploring Alerts | 4% | - Using alert manager - Understanding alert actions - Referencing alert actions - Logging and indexing searchable alert events |
| Exploring Dashboards and Forms | 15% | - Using event handlers - Using tokens - Creating dashboards using Simple XML - Using dynamic form inputs - Using drilldowns |
| Exploring Statistical Commands | 4% | - Performing statistical analysis with stats function - Using count and list functions - Using streamstats - Using eventstats - Using fieldsummary - Using appendpipe |
| Exploring Data Models | 10% | - Creating data models - Using data model objects - Understanding data models - Using pivot |
| Exploring eval Command Functions | 4% | - Using makeresults command - Using informational functions - Using conversion functions - Using statistical functions - Using comparison and conditional functions - Using text functions |
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NEW QUESTION # 116
Which of the following has a schema or structure embedded in the data itself?
Answer: A
Explanation:
Self-describing data includes information about its structure within the data itself. Examples include formats like JSON and XML, where the data schema is embedded and can be easily interpreted without external references.
NEW QUESTION # 117
When should summary indexing be used?
Answer: C
Explanation:
Comprehensive and Detailed Step by Step Explanation:Summary indexing should be used forreports that run on small datasets over long time ranges. It is particularly useful when you need to aggregate data over extended periods without querying raw events repeatedly.
Here's why this works:
* Efficiency: Summary indexing pre-aggregates data into summary indexes, reducing the amount of data that needs to be processed during runtime. This improves performance for reports that span long time ranges.
* Small Datasets: Summary indexing is most effective when working with smaller datasets because aggregating large volumes of data can become resource-intensive.
Other options explained:
* Option B: Incorrect because summary indexing is not a fallback for reports that fail to qualify for acceleration methods like report or data model acceleration.
* Option C: Incorrect because summary indexing is less beneficial for short time ranges, where querying raw data is often faster.
* Option D: Incorrect because Smart Mode is unrelated to summary indexing; it is a search optimization feature.
Example: Suppose you want to calculate daily sales totals over a year. Instead of querying raw sales data every time, you can use summary indexing to store daily totals and query the summary index instead.
References:
* Splunk Documentation on Summary Indexing:https://docs.splunk.com/Documentation/Splunk/latest
/Knowledge/Usesummaryindexing
* Splunk Documentation on Report Acceleration:https://docs.splunk.com/Documentation/Splunk/latest
/Knowledge/Acceleratedatamodels
NEW QUESTION # 118
Which of the following most accurately defines a base search?
Answer: A
Explanation:
A base search in Splunk is a foundational search query defined within a dashboard that can be referenced by multiple panels. This approach promotes efficiency by allowing multiple panels to display different aspects or visualizations of the same dataset without executing separate searches for each panel.
Key Points:
* Definition: A base search is a primary search defined once in a dashboard's XML and referenced by other panels through post-process searches.
* Post-Process Searches: These are additional search commands applied to the results of the base search. They refine or transform the base search results to meet specific panel requirements.
* Benefits:
* Performance Optimization: Reduces the number of searches executed, thereby conserving system resources.
* Consistency: Ensures all panels referencing the base search use the same dataset, maintaining uniformity across the dashboard.
Example:
Consider a dashboard that needs to display various statistics about web traffic:
* Base Search:
<search name="base_search">
index=web_logs | stats count by status_code
</search>
* Panel 1 (Total Requests):
<panel>
<title>Total Requests</title>
<search base="base_search">
| stats sum(count) as total_requests
</search>
</panel>
* Panel 2 (Error Rate):
<panel>
<title>Error Rate</title>
<search base="base_search">
| where status_code >= 400
| stats sum(count) as error_count
</search>
</panel>
In this example:
* The base_search retrieves the count of events grouped by status_code from the web_logs index.
* Panel 1 calculates the total number of requests by summing the count field.
* Panel 2 filters for error status codes (400 and above) and calculates the total number of errors.
By defining a base search, both panels utilize the same initial dataset, ensuring consistency and reducing redundant processing.
Reference:Splunk Documentation - Base Search
NEW QUESTION # 119
A report named "Linux logins" populates a summary index with the search string sourcetype=linux_secure | sitop src_ip user. Which of the following correctly searches against the summary index for this data?
Answer: B
Explanation:
When searching a summary index, using search_name="Linux logins" ensures you retrieve data generated by that specific report. Option B correctly searches the summary index by referencing the report's name.
NEW QUESTION # 120
What is the value of base lispy in the Search Job Inspector for the search index-sales clientip-170.192.178.10?
Answer: A
NEW QUESTION # 121
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