A security analyst is creating a query in Cortex XSIAM to find all login events from the past week. The data comes from multiple sources, each with different field names for the event type (e.g., 'event_type', 'action', 'type'). How does Cortex's normalization help the analyst write this query?

It automatically translates the query into each source's native language

It allows the analyst to use a single field name for the event type

It requires the analyst to write separate queries for each source

It stores the data in a way that makes queries faster

A company wants to ingest data from multiple sources into Cortex XSIAM: firewall logs, endpoint detection alerts, and cloud infrastructure telemetry. They plan to use different ingestion methods for each source. Which combination of data source types and ingestion methods is appropriate?

Firewall logs via agent, endpoint alerts via direct upload, cloud telemetry via API

Firewall logs via API, endpoint alerts via agent, cloud telemetry via API

Firewall logs via direct upload, endpoint alerts via API, cloud telemetry via agent

What is the purpose of data normalization in Cortex?

To convert data into a standard schema for consistent analysis

To compress data to reduce storage costs

To delete duplicate data to improve performance

To encrypt data to ensure security

A security team is ingesting logs from multiple sources into Cortex XSIAM. They notice that logs from one source are delayed by several hours. The source is an API that provides logs in batches. What is the most likely reason for the delay?

The logs are being normalized incorrectly

The API is rate-limiting the ingestion requests

The API provides logs in batches with a delay

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Domain 2Objective 3

2.3 Demonstrate Understanding of Data Source Ingestion CLOUD-SECURITY-PROFESSIONAL Practice Questions (Page 4)

Part of the Cortex Fundamentals domain, which accounts for 15% of the CLOUD-SECURITY-PROFESSIONAL exam.

26questions here

6free pages

5concepts

15%of the exam

Questions 16–20

16foundation · easy
Which component of the ingestion pipeline is responsible for receiving data from various sources?
Select an answer first
17application · medium
A security analyst is creating a query in Cortex XSIAM to find all login events from the past week. The data comes from multiple sources, each with different field names for the event type (e.g., 'event_type', 'action', 'type'). How does Cortex's normalization help the analyst write this query?
Select an answer first
18application · medium
A company wants to ingest data from multiple sources into Cortex XSIAM: firewall logs, endpoint detection alerts, and cloud infrastructure telemetry. They plan to use different ingestion methods for each source. Which combination of data source types and ingestion methods is appropriate?
Select an answer first
19foundation · easy
What is the purpose of data normalization in Cortex?
Select an answer first
20application · medium
A security team is ingesting logs from multiple sources into Cortex XSIAM. They notice that logs from one source are delayed by several hours. The source is an API that provides logs in batches. What is the most likely reason for the delay?
Select an answer first

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