A company is integrating its AWS CloudTrail logs, Azure Active Directory sign-in logs, and on-premises firewall logs into Splunk for security analytics. The team notices that the CloudTrail logs contain nested JSON structures, while the firewall logs are in key-value pair format. What is the most important consideration when designing the integration architecture for these sources?

Ensure each source is parsed and normalized into a common data model to enable correlation

Store all logs in JSON format to simplify parsing

Ingest all logs into a single index without any preprocessing to preserve original data

Use separate Splunk apps for each source to avoid any parsing conflicts

A security team is integrating data from a new SaaS application. The application provides an API that requires OAuth authentication and has rate limits. The team needs to ensure that the integration is reliable and does not miss data. What is the best approach?

Use a third-party integration tool that bypasses the API rate limits

Use a real-time streaming integration to get data as it happens

Manually export the data from the SaaS application and upload it to Splunk

Use a scheduled data collection method that respects the API rate limits and includes retry logic for failures

What characteristic of a data source is important to consider when integrating it into security operations?

The cost of the data source software

The physical location of the data source server

The volume and velocity of data generated

The number of users who have access to the data source

A security team is implementing a new integration to ingest endpoint detection and response (EDR) data into Splunk. They have limited staff and need to minimize disruption to ongoing operations. Which implementation approach best balances these constraints?

Use a third-party service to manage the entire integration without internal involvement

Deploy to all endpoints at once to complete the integration quickly

Deploy the integration in phases, starting with a pilot group of endpoints, then expanding

Deploy only to critical servers first, then add endpoints later if time permits

In an integration architecture, what is the role of a data flow layer?

To store all raw data indefinitely

To generate security alerts automatically

To provide a user interface for security analysts

To manage the movement of data from sources to the analytics platform

SplunkCertified Cybersecurity Defense Architect

Domain 2Objective 1

Explain How to Develop and Implement Integration Strategies for Data-Driven Security Operations. CYBERSECURITY-DEFENSE-ARCHITECT Practice Questions (Page 6)

Part of the Security Data Management domain, which accounts for 20% of the CYBERSECURITY-DEFENSE-ARCHITECT exam. Splunk does not publish an official question count, but from its 75-minute exam (~30–50 total, ~6–10 in this domain), expect 1–1 from this objective — we provide 30 practice questions to prepare you well beyond it. (estimate)

30questions here

6free pages

7concepts

20%of the exam

Questions 26–30

26application · medium
A company is integrating its AWS CloudTrail logs, Azure Active Directory sign-in logs, and on-premises firewall logs into Splunk for security analytics. The team notices that the CloudTrail logs contain nested JSON structures, while the firewall logs are in key-value pair format. What is the most important consideration when designing the integration architecture for these sources?
Select an answer first
27expert · hard
A security team is integrating data from a new SaaS application. The application provides an API that requires OAuth authentication and has rate limits. The team needs to ensure that the integration is reliable and does not miss data. What is the best approach?
Select an answer first
28foundation · easy
What characteristic of a data source is important to consider when integrating it into security operations?
Select an answer first
29application · medium
A security team is implementing a new integration to ingest endpoint detection and response (EDR) data into Splunk. They have limited staff and need to minimize disruption to ongoing operations. Which implementation approach best balances these constraints?
Select an answer first
30foundation · easy
In an integration architecture, what is the role of a data flow layer?
Select an answer first

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