An analyst wants to quickly find all alerts related to a specific hostname without navigating through multiple menus. The analyst recalls that the Elastic Security App supports natural language processing. Which action should the analyst take to use this capability?

Type a natural language query in the search bar, such as 'show all alerts for host web-server-01'.

Create a new dashboard with a filter for the hostname.

Use the alert details pane to manually scroll through all alerts.

Write a custom Kibana query DSL script to filter alerts.

An organization is considering using AI-driven threat detection in the Elastic Security App to complement its existing rule-based detection. The security team is concerned about the potential for AI to generate a high number of false positives. Which strategy should the team adopt to effectively integrate AI-driven detection while managing false positives?

Use AI-driven detection as a secondary layer that prioritizes alerts for review, while keeping rule-based detection as the primary trigger.

Replace all rule-based detection with AI-driven detection to improve accuracy.

Disable AI-driven detection and rely solely on rule-based detection.

Increase the sensitivity of AI-driven detection to catch all potential threats.

What is a key benefit of AI-driven threat detection in the Elastic Security App?

It guarantees that all true positives are detected with zero false positives

It automatically patches vulnerabilities in the network

It eliminates the need for security analysts to review alerts

It reduces the time to identify and prioritize potential threats

What can administrators do with AI models in the Elastic Security App?

They can enable or disable AI features but not adjust model parameters

They can only use pre-trained models with no customization options

They can configure model parameters and customize behavior

They can only view model performance but not modify settings

Why is it important to consider ethical implications when using AI in the Security App?

Because AI can make decisions that affect individuals and organizations

Because AI is only used for non-critical tasks

Because AI requires no data to function

Because AI is always biased and cannot be trusted

ElasticCertified SIEM Analyst

Domain 6Objective 8

Describe How AI Is Used in the Security App ELASTIC-CERTIFIED-SIEM-ANALYST Practice Questions (Page 5)

Part of the Security Application domain, which makes up ~53% of our current practice bank.

35questions here

7free pages

7concepts

Questions 21–25

21application · medium
An analyst wants to quickly find all alerts related to a specific hostname without navigating through multiple menus. The analyst recalls that the Elastic Security App supports natural language processing. Which action should the analyst take to use this capability?
Select an answer first
22expert · hard
An organization is considering using AI-driven threat detection in the Elastic Security App to complement its existing rule-based detection. The security team is concerned about the potential for AI to generate a high number of false positives. Which strategy should the team adopt to effectively integrate AI-driven detection while managing false positives?
Select an answer first
23foundation · easy
What is a key benefit of AI-driven threat detection in the Elastic Security App?
Select an answer first
24foundation · easy
What can administrators do with AI models in the Elastic Security App?
Select an answer first
25foundation · easy
Why is it important to consider ethical implications when using AI in the Security App?
Select an answer first

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