Universal Containers is experiencing frequent and persistent group membership locking issues that severely restricts its ability to manage manual and a automated updates at the same time.
What should a data architect do in order to restore the issue?

• A.Enable granular locking
• B.Enable parallel sharing rule calculation.
• C.Enable implicit sharing
• D.Enable defer sharing calculation

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Universal Containers (UC) has implemented Sales Cloud for its entire sales organization. UC has built a custom object called Projects_c that stores customer project details and employee billable hours.
The following requirements are needed:
1. A subset of individuals from the finance team will need access to the Projects object for reporting and adjusting employee utilization.
2. The finance users will not need access to any sales objects, but they will need to interact with the custom object.
Which license type should a data architect recommend for the finance team that best meets the requirements?

• A.Lightning Platform Plus
• B.Lightning Platform Starter
• C.Sales Cloud
• D.Service Cloud

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UC has migrated its Back-office data into an on-premise database with REST API access. UC recently implemented Sales cloud for its sales organization. But users are complaining about a lack of order data inside SF.
UC is concerned about SF storage limits but would still like Sales cloud to have access to the data.
Which design patterns should a data architect select to satisfy the requirement?

• A.Use SF Connect to virtualize the data in SF and avoid storage limits.
• B.Develop a bidirectional integration between the on-premise system and Salesforce.
• C.Build a UI for the on-premise system and iframe it in Salesforce
• D.Migrate and persist the data in SF to take advantage of native functionality.

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Universal Containers (UC) has an Application custom object, which has tens of millions of records created in the past 5 years. UC needs the last 5 years of data to exist in Salesforce at all times for reporting and queries. UC is currently encountering performance issues when reporting and running queries on this Object using date ranges as filters. Which two options can be used to improve report performance?

• A.Run multiple reports to get different pieces of the data and combine them.
• B.Add custom indexes to all fields on Application without a standard index.
• C.Ask support to create a skinny table for Application with the necessary reporting fields.
• D.Add custom indexes to the Date fields used for filtering the report.

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Universal Containers has a large volume of Contact data going into Salesforce.com. There are 100,000 existing contact records. 200,000 new contacts will be loaded. The Contact object has an external ID field that is unique and must be populated for all existing records.
What should the architect recommend to reduce data load processing time?

• A.Load new records via the Insert operation and existing records via the Update operation.
• B.Load all records via the Upsert operation to determine new records vs. existing records.
• C.Load Contact records together using the Streaming API via the Upsert operation.
• D.Delete all existing records, and then load all records together via the Insert operation.

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