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| Section | Objectives |
|---|---|
| Data Integration | - API-based integration approaches - Integration patterns in Salesforce - ETL vs ELT strategies |
| Data Migration | - Data migration strategies and planning - Data cleansing and transformation |
| Data Architecture and Design | - Conceptual and logical data modeling - Handling large data volume and scalability considerations - Data modeling best practices in Salesforce |
| Salesforce Data Model and Platform Capabilities | - Reporting and analytics considerations - Relationships and schema design - Standard and custom objects |
| Data Management | - Data governance principles - Master data management (MDM) concepts - Data quality management |
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NEW QUESTION # 120
A large automobile company has implemented Salesforce for its sales associates. Leads flow from its website to Salesforce using a batch integration in Salesforce. The batch job converts the leads to Accounts in Salesforce. Customers visiting their retail stores are also created in Salesforce as Accounts.
The company has noticed a large number of duplicate Accounts in Salesforce. On analysis, it was found that certain customers could interact with its website and also visit the store. The sales associates use Global Search to search for customers in Salesforce before they create the customers.
Which option should a data architect choose to implement to avoid duplicates?
Answer: A
Explanation:
Leveraging duplicate rules in Salesforce to validate duplicates during the account creation process (option A) is the best option to implement to avoid duplicates, as it allows the sales associates to identify and merge duplicate accounts before they are saved.
NEW QUESTION # 121
Universal Containers (UC) requires 2 years of customer related cases to be available on SF for operational reporting. Any cases older than 2 years and upto 7 years need to be available on demand to the Service agents. UC creates 5 million cases per yr. Which 2 data archiving strategies should a data architect recommend? Choose 2 option
Answer: A,C
Explanation:
The best data archiving strategies for UC are to use Big objects and Heroku with external objects.
Big objects allow storing large amounts of data on the Salesforce platform without affecting performance or storage limits. They also support point-and-click tools, triggers, and Apex code.
Heroku is a cloud platform that can host external databases and integrate with Salesforce using external objects. External objects enable on-demand access to external data sources via standard Salesforce APIs and user interfaces. Using bulk API to hard delete cases from Salesforce will free up storage space and improve performance.
NEW QUESTION # 122
Ursa Major Solar's legacy system has a quarterly accounts receivable report that compiles data from the following:
- Accounts
- Contacts
- Opportunities
- Orders
- Order Line Items
Which issue will an architect have when implemented this in Salesforce?
Answer: C
Explanation:
The issue that an architect will have when implementing the quarterly accounts receivable report in Salesforce is that Salesforce does not allow more than four objects in a single report type. A report type defines the set of records and fields available to a report based on the relationships between a primary object and up to four related objects. A report type has the following limitations:
It cannot include more than four objects in a single report type, which means that the report cannot compile data from five objects (Accounts, Contacts, Opportunities, Orders, and Order Line Items) at once.
It cannot include objects that are more than two relationships away from each other, which means that the report cannot access fields from Order Line Items through Opportunities and Orders.
It cannot include objects that have a many-to-many relationship with each other, which means that the report cannot access fields from Contacts and Opportunities through the junction object Opportunity Contact Role.
NEW QUESTION # 123
Universal Containers (UC) is going thought major reorganization of their sales team. This would require changes to a large a number of group members and sharing rules. UCs administrator is concerned about long processing time and failure during the process. What should a Data architect implement to make changes efficiently?
Answer: C
Explanation:
The correct answer is B. To make changes efficiently, a data architect should enable Defer Sharing Calculation prior to making sharing rule changes. This will allow the administrator to make multiple changes to sharing rules without recalculating them after each change, which can take a long time and cause failures. The sharing rules can be recalculated later when there are fewer users online or during off-peak hours.
NEW QUESTION # 124
UC is preparing to implement sales cloud and would like to its users to have read only access to an account record if they have access to its child opportunity record. How would a data architect implement this sharing requirement between objects?
Answer: A
Explanation:
Implicit sharing will automatically handle this sharing requirement with standard functionality, as it grants read-only access to parent accounts when users have access to child opportunities. This is also known as account-opportunity sharing.
NEW QUESTION # 125
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