A company is onboarding Databricks as a data source. The security team wants to ensure that the data ingestion does not impact the performance of the Databricks workspace. What should they do?

Run the ingestion on the same cluster as production workloads.

Use a separate compute cluster for the ingestion process.

Schedule the ingestion during peak hours to ensure resources are available.

Increase the size of the production cluster to handle both workloads.

When onboarding Office 365 as a data source into the security platform, which of the following is typically the first step?

Establishing connectivity and authentication between the platform and the Office 365 tenant

Configuring the platform's log retention policy for Office 365 data

Mapping Office 365 fields to the platform's data schema

Creating a data forwarding rule to send logs to the platform

A global company is onboarding Office 365 and Databricks as data sources. They have data residency requirements that mandate data from European users must remain in the EU. They also want to minimize the cost of data transfer. What should they do?

Use a single global endpoint for all data sources and store all data in the US region.

Store all data in the EU region but use global endpoints for ingestion.

Configure the data sources to use EU-based endpoints and ensure the security platform's data storage is in an EU region.

Use EU endpoints for Office 365 but US endpoints for Databricks.

An organization has onboarded an AI source that provides threat intelligence feeds. The security team wants to ensure that the AI source is updated regularly and that the platform uses the latest intelligence for detection. What should they configure?

Disable automatic updates and rely on the platform's built-in intelligence.

Configure the AI source to push updates automatically without any schedule.

Manually update the AI source whenever new intelligence is available.

Set up a scheduled refresh for the AI source to pull updates at regular intervals.

During the onboarding of an AI source, what does 'setup and connectivity' typically involve?

Creating a user interface for the AI model

Configuring network access and API authentication to the AI service

Deploying the AI model to a mobile device

Training the AI model with new data

Palo Alto NetworksCertified Cloud Security Engineer

Domain 2Objective 2

2.2 Explain the Process of Onboarding and Configuring Data and AI Sources (e.g., Office 365, Databricks, Azure Foundry) CLOUD-SECURITY-ENGINEER Practice Questions (Page 2)

Part of the Integration domain, which accounts for 16% of the CLOUD-SECURITY-ENGINEER exam.

21questions here

5free pages

5concepts

16%of the exam

Questions 6–10

6application · medium
A company is onboarding Databricks as a data source. The security team wants to ensure that the data ingestion does not impact the performance of the Databricks workspace. What should they do?
Select an answer first
7foundation · easy
When onboarding Office 365 as a data source into the security platform, which of the following is typically the first step?
Select an answer first
8expert · hard
A global company is onboarding Office 365 and Databricks as data sources. They have data residency requirements that mandate data from European users must remain in the EU. They also want to minimize the cost of data transfer. What should they do?
Select an answer first
9application · medium
An organization has onboarded an AI source that provides threat intelligence feeds. The security team wants to ensure that the AI source is updated regularly and that the platform uses the latest intelligence for detection. What should they configure?
Select an answer first
10foundation · easy
During the onboarding of an AI source, what does 'setup and connectivity' typically involve?
Select an answer first

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