Universal Containers has successfully migrated 50 million records into five different objects multiple times in a full copy sandbox. The Integration Engineer wants to re-run the test again a month before it goes live into Production. What is the recommended approach to re-run the test?
A. Truncate all 5 objects quickly and re-run the data migration test.
B. Refresh the full copy sandbox and re-run the data migration test.
C. Hard delete all 5 objects' data and re-run the data migration test.
D. Truncate all 5 objects and hard delete before running the migration test.
Cloud Kicks is launching a Partner Community, which will allow users to register shipment requests that are then processed by Cloud Kicks employees. Shipment requests contain header information, and then a list of no more than 5 items being shipped.
First, Cloud Kicks will introduce its community to 6,000 customers in North America, and then to 24,000 customers worldwide within the next two years. Cloud Kicks expects 12 shipment requests per week per customer, on average, and wants customers to be able to view up to three years of shipment requests and use Salesforce reports.
What is the recommended solution for the Cloud Kicks Data Architect to address the requirements?
A. Create an external custom object to track shipment requests with five lookup custom fields for each item being shipped. External objects are stored off-platform in Heroku's Postgres database.
B. Create a custom object to track shipment requests and a child custom object to track shipment items. Implement an archiving process that moves data off-platform after three years.
C. Create a custom object to track shipment requests with five lookup custom fields for each item being shipped. Implement an archiving process that moves data off-platform after three years.
D. Create an external custom object to track shipment requests and a child external object to track shipment items. External objects are stored off-platform in Heroku's Postgres database.
DreamHouse Realty has a legacy system that captures Branch Offices and Transactions. DreamHouse Realty has 15 Branch Offices. Transactions can relate to any Branch Office. DreamHouse Realty has created hundreds of thousands of Transactions per year.
A Data Architect needs to denormalize this data model into a single Transaction object with a Branch Office picklist.
What are two important considerations for the Data Architect in this scenario? (Choose two.)
A. Standard list view in-line editing.
B. Limitations on Org data storage.
C. Bulk API limitations on picklist fields.
D. Limitations on master-detail relationships.
Universal Containers wants to develop a dashboard in Salesforce that will allow Sales Managers to do data exploration using their mobile device (i.e., drill down into sales-related data) and have the possibility of adding ad-hoc filters while on the move. What is a recommended solution for building data exploration dashboards in Salesforce?
A. Create a Dashboard in an external reporting tool, export data to the tool, and add link to the dashboard in Salesforce.
B. Create a Dashboard in an external reporting tool, export data to the tool, and embed the dashboard in Salesforce using the Canval toolkit.
C. Create a standard Salesforce Dashboard and connect it to reports with the appropriate filters.
D. Create a Dashboard using Analytics Cloud that will allow the user to create ad-hoc lenses and drill down.
A customer is facing locking issued when importing large data volumes of order records that are children in a master-detail relationship with the Account object. What is the recommended way to avoid locking issues during import?
A. Import Account records first followed by order records after sorting order by OrderID.
B. Import Account records first followed by order records after sorting orders by AccountID.
C. Change the relationship to Lookup and update the relationship to master-detail after import.
D. Import Order records and Account records separately and populate AccountID in orders using batch Apex.
Universal Containers (UC) is expecting to have nearly 5 million shipments records in its Salesforce org. Each shipment record has up to 10 child shipment item records. The Shipment custom object has an Organization-wide Default (OWD) sharing model set to Private and the Shipment Item custom object has a Master-Detail relationship to Shipment. There are 25 sharing rules set on the Shipment custom object, which allow shipment records to be shared to each of UC's 25 business areas around the globe. These sharing rules use public groups, one for each business area plus a number of groups for management and support roles. UC has a high turnover of Sales Reps and often needs to move Sales Reps between business areas in order to meet local demand. What feature would ensure that performance, when moving Sales Reps between regions, remains adequate while meeting existing requirements?
A. Implement data archiving for old Shipment records.
B. Contact Salesforce to create Skinny tables on Shipment.
C. Configure shipment OWD to Public Read/Write.
D. Contact Salesforce to enable Defer Sharing Rules
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. Ask support to create a skinny table for Application with the necessary reporting fields.
B. Add custom indexes to all fields on Application without a standard index.
C. Run multiple reports to get different pieces of the data and combine them.
D. Add custom indexes to the Date fields used for filtering the report.
UC is trying to switch from legacy CRM to salesforce and wants to keep legacy CRM and salesforce in place till all the functionality is deployed in salesforce. The want to keep data in synch b/w Salesforce, legacy CRM and SAP. What is the recommendation.
A. Integrate legacy CRM to salesforce and keep data in synch till new functionality is in place
B. Do not integrate legacy CRM to Salesforce, but integrate salesforce to SAP
C. Integrate SAP with Salesforce, SAP to legacy CRM but not legacy CRM to Salesforce
D. Suggest MDM solution and link MDM to salesforce and SAP
Universal Containers would like to remove data silos and connect their legacy CRM together with their ERP and with Salesforce. Most of their sales team has already migrated to Salesforce for daily use, although a few users are still on the old CRM until some functionality they require is completed. Which two techniques should be used for smooth interoperability now and in the future.
A. Replicate ongoing changes in the legacy CRM to Salesforce to facilitate a smooth transition when the legacy CRM is eventually retired.
B. Specify the legacy CRM as the system of record during transition until it is removed from operation and fully replaced by Salesforce.
C. Work with stakeholders to establish a Master Data Management plan for the system of record for specific objects, records, and fields.
D. Do not connect Salesforce and the legacy CRM to each other during this transition period, but do allow both to interact with the ERP.
A Customer is migrating 10 million order and 30 million order lines into Salesforce using Bulk API. The
Engineer is experiencing time-out errors or long delays querying parents order IDs in Salesforce before
importing related order line items.
What is the recommended solution?
A. Query only indexed ID field values on the imported order to import related order lines.
B. Leverage an External ID from source system orders to import related order lines.
C. Leverage Batch Apex to update order ID on related order lines after import.
D. Leverage a sequence of numbers on the imported orders to import related order lines.
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