Universal Containers (UC) has a Salesforce org with multiple automated processes defined for group membership processing, UC also has multiple admins on staff that perform manual adjustments to the role hierarchy. The automated tasks and manual tasks overlap daily, and UC is experiencing "lock errors" consistently.
What should a data architect recommend to mitigate these errors?

• A.Enable granular locking.
• B.Enable sharing recalculations.
• C.Ask Salesforce support for additional CPU power.
• D.Remove SOQL statements from Apex Loops.

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Universal Containers (UC) loads bulk leads and campaigns from third-party lead aggregators on a weekly and monthly basis. The expected lead record volume is 500K records per week, and the expected campaign records volume is 10K campaigns per week. After the upload, Lead records are shared with various sales agents via sharing rules and added as Campaign members via Apex triggers on Lead creation. UC agents work on leads for 6 months, but want to keep the records in the system for at least 1 year for reference. Compliance requires them to be stored for a minimum of 3 years. After that, data can be deleted. What statement is true with respect to a data archiving strategy for UC?

• A.UC can leverage a "tier"-based approach to classify the record storage need.
• B.UC can store long-term lead records in custom storage objects to avoid counting against storage limits.
• C.UC can leverage the Salesforce Data Backup and Recovery feature for data archival needs.
• D.UC can leverage recycle bin capability, which guarantees record storage for 15 days after deletion.

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Universal Containers has received complaints that customers are being called by multiple Sales Reps where the second Sales Rep that calls is unaware of the previous call by their coworker. What is a data quality problem that could cause this?

• A.Missing phone number on the Contact record.
• B.Customer phone number has changed on the Contact record.
• C.Duplicate Contact records exist in the system.
• D.Duplicate Activity records on a Contact.

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Universal Containers has millions of rows of data in Salesforce that are being used in reports to evaluate historical trends. Performance has become an issue, as well as data storage limits. Which two strategies should be recommended when talking with stakeholders?

• A.Use Data Loader to extract data, aggregate it, and write it back to a custom object, then delete the original records.
• B.Use scheduled batch Apex to copy aggregate information into a custom object and delete the original records.
• C.Configure the Salesforce Archiving feature to archive older records and remove them from the data storage limits.
• D.Combine Analytics Snapshots with a purging plan by reporting on the snapshot data and deleting the original records.

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Universal Containers (UC) is concerned about the accuracy of their Customer information in Salesforce. They have recently created an enterprise-wide trusted source MDM for Customer data which they have certified to be accurate. UC has over 20 million unique customer records in the trusted source and Salesforce. What should an Architect recommend to ensure the data in Salesforce is identical to the MDM?

• A.Use an AppExchange package for Data Quality to match Salesforce data against the Trusted source.
• B.Extract the Salesforce data into Excel and manually compare this against the trusted source.
• C.Load the Trusted Source data into Salesforce and run an Apex Batch job to find difference.
• D.Leave the data in Salesforce alone and assume that it will auto-correct itself over time.

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