1Z0-1123-25 Question 69
Single answerYour organization plans to migrate several business-critical applications from its on-premises data center to Oracle Cloud Infrastructure (OCI). During the discovery phase, you need to identify hardware and software resource usage, as well as application dependencies. Which approach is most effective to ensure you have accurate and comprehensive data for migration planning?
- A
Interview each application owner individually without conducting any system-level analysis.
- B
Use an agent-based discovery tool to automatically collect OS-level usage metrics and network dependencies.
- C
Rely on a legacy CMDB for configuration details without performing additional data validation.
- D
Apply generic high-resource assumptions for all servers to avoid underestimating capacity needs.
Show answer and explanation
Correct answer: B
Explanation
Employing an automated discovery methodology is a best practice described in Oracle� migration documentation. By installing lightweight agents on each server, you can gather real-time data on CPU, memory, and storage consumption, as well as map application dependencies. This helps ensure the migration plan properly reflects the on-premises environment and prevents avoidable oversights or misconfigurations.
- A. Incorrect.
Option 1: Interviewing application owners can provide useful insights, but relying solely on manual interviews often leads to incomplete or outdated information, potentially missing critical dependencies.
- B. Correct.
Option 2: Correct. Agent-based discovery tools provide systematic OS-level data, application dependencies, and resource utilization, ensuring a more complete and accurate picture of on-premises workloads.
- C. Incorrect.
Option 3: A legacy CMDB may not capture the latest changes or untracked updates in the environment. Relying on it without validation can lead to overlooked servers or misrepresented resource demands.
- D. Incorrect.
Option 4: Applying uniform high-resource assumptions can lead to costly over-provisioning in OCI, rather than a right-sized approach that accurately reflects actual usage patterns.