Universal Containers (UC) has 1,000 accounts and 50,000 opportunities. UC has an enterprise security requirement to export all sales data outside of Salesforce on a weekly basis. The security requirement also calls for exporting key operational data that includes events such as file downloads, logins, logouts, etc. Which two recommended approaches would address the above requirement?

• A.Use a custom built extract job to extract operational data to on-premise systems.
• B.Use Event Monitoring to extract event data to on-premise systems.
• C.Use Field Audit History to capture operational data and extract it to on-premise systems.
• D.Use Weekly Export to extract transactional data to on-premise systems.

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Every year, Ursa Major Solar has more than 1 million orders. Each order contains an average of 10 line items.
The Chief Executive Officer (CEO) needs the Sales Reps to see how much money each customer generates year-over-year. However, data storage is running low in Salesforce.
Which approach for data archiving is appropriate for this scenario?

• A.1. Annually delete orders and order line items. 2. Ensure the customer has order information in another system.
• B.1. Annually export and delete orders and order line items. 2. Store them in a zip file in case the data is needed later.
• C.1. Annually aggregate order amount data to store in a custom object. 2. Delete those orders and order line items.
• D.1. Annually export and delete order line items. 2. Store them in a zip file in case the data is needed later.

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Cloud Kicks plans on setting up an external Business Intelligence (BI) system and will extract 1.5 million Contact records. The company wants to avoid timeouts during the export process.
What should an Architect recommend to fulfill this request?

• A.Schedule a Batch Apex job to export the data.
• B.Utilize the Bulk API to export the data.
• C.Utilize GZIP compression to export the data.
• D.Utilize the SOAP API to export data.

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Universal Containers (UC) has a very large and complex Salesforce org with hundreds of validation rules and triggers. The triggers are responsible for system updates and data manipulation as records are created or updates by users. A majority of the automation tool within UC'' org were not designed to run during a data load. UC is importing 100,000 records into Salesforce across several objects over the weekend.
What should a data architect do to mitigate any unwanted results during the import?

• A.Ensure duplication and matching rules and defined.
• B.Ensure validation rules, triggers and other automation tools are disabled.
• C.Import the data in smaller batches over a 24-hour period.
• D.Bulkily the trigger to handle import leads.

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