What should you prioritize when designing patterns regarding information acquisition?

When designing patterns for information acquisition in ServiceNow Discovery, prioritizing the use of information queried from target devices is crucial. This approach allows for dynamic data collection that reflects the actual properties and configurations of the devices being monitored. By querying real-time information, the patterns become adaptable to different environments and conditions, fostering more accurate data representation and enhancing the overall effectiveness of the discovery process.

Utilizing information directly from target devices ensures that the patterns remain relevant and reliable, as they are based on the current state of the infrastructure. This method also supports a more agile and flexible discovery process, accommodating changes in the target environment without the need for constant manual updates to hardcoded values or patterns.

The other options do not align with the goal of effective information acquisition. Hardcoding variable values creates rigidity that can lead to outdated or inaccurate information. Relying solely on predefined variable names limits flexibility and may not encompass the diverse naming conventions or configurations present in different organizational setups. Similarly, using the same patterns universally can hinder adaptability to unique system architectures and configurations. Therefore, leveraging real-time, queried information is the best approach to ensure an effective and responsive discovery process.