Salesforce Certified Data Architecture Practice Test

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What approach should be suggested to address a Service-Level Agreement (SLA) requirement of 1 day for data loss in Salesforce?

  1. Build a daily extract job and extract data to on-premise systems for long-term backup and archival purposes.

  2. Schedule a Weekly Extract Service for key objects and extract data in XL sheets to on-premise systems.

  3. Store all data in shadow custom objects on any updates and deletes, and extract them as needed.

  4. Evaluate a third-party AppExchange app, such as OwnBackup or Spanning, etc., for backup and archival purposes.

The correct answer is: Evaluate a third-party AppExchange app, such as OwnBackup or Spanning, etc., for backup and archival purposes.

Evaluating a third-party AppExchange app, such as OwnBackup or Spanning, is a prudent approach for addressing a Service-Level Agreement (SLA) requirement of 1 day for data loss in Salesforce. These applications are specifically designed for backup and data recovery, providing robust features to ensure that data is reliably backed up and can be restored quickly. They often include incremental backups, which means only changes made to the data are stored since the last backup, allowing for more efficient use of storage and faster recovery times. Utilizing dedicated backup solutions from AppExchange enhances data security and improves compliance with SLA requirements, as these solutions typically come with built-in monitoring, alerts, and automated processes tailored for Salesforce environments. Furthermore, AppExchange solutions are regularly updated to adapt to new features and changes in Salesforce, which can enhance their effectiveness over time. Other approaches, while potentially viable, may lack the specialized capabilities of third-party backup solutions. For example, building a daily extract job could introduce complexities related to data consistency, handling data volume, and maintaining ongoing operations effectively without impacting performance. Similarly, scheduling weekly extracts or relying on shadow custom objects might not meet the immediacy required by the 1-day SLA because they lack the features necessary for timely data restoration and

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