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Question 47 - 300-910 discussion

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How long analysis systems such as Elasticsearch, Logstash, and Kibana Stack handle ingesting unstructured logs from different devices in various formats?

A.

All devices that generate syslogs must use agents that process the local logs and transmit them in a specific format to the ELK Stack.

Answers
A.

All devices that generate syslogs must use agents that process the local logs and transmit them in a specific format to the ELK Stack.

B.

All logs are stored in their unstructured text format, and the ELK Stack performs data analysis by intelligently parsing the logs using machine learning algorithms.

Answers
B.

All logs are stored in their unstructured text format, and the ELK Stack performs data analysis by intelligently parsing the logs using machine learning algorithms.

C.

All different message formats are parsed separately using custom filters, and the resulting structured data is stored for later analysis.

Answers
C.

All different message formats are parsed separately using custom filters, and the resulting structured data is stored for later analysis.

D.

A single, comprehensive log format is defined on the ELK Stack. All incoming logs, regardless of format, are transformed to match the comprehensive format, and only applicable fields are populated.

Answers
D.

A single, comprehensive log format is defined on the ELK Stack. All incoming logs, regardless of format, are transformed to match the comprehensive format, and only applicable fields are populated.

Suggested answer: C

Explanation:

The ELK Stack (Elasticsearch, Logstash, and Kibana) can handle ingesting unstructured logs from various devices in different formats by running custom filters on the logs. The filters are designed to parse the log data and extract the relevant, structured information from it, which is then stored for later analysis. This allows for faster and more accurate analysis of the data, and enables more sophisticated insights to be drawn from it.

asked 10/10/2024
Meriem Jlassi
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