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| Section | Weight | Objectives |
|---|---|---|
| Data Integration | 15% | - Handling locks and parallelism during migration - Sharing rules impact on data integration - Real-time vs batch integration patterns - ETL tools and data migration strategies - API-based integration (REST, SOAP, Bulk API) |
| Data Architecture | 20% | - Architecture patterns and design principles - Archiving and data lifecycle management - Governor limits and bulk processing - Performance tuning and optimization |
| Data Governance | 20% | - Compliance and regulatory considerations - Data retention and archiving policies - Data quality standards and metrics - Data stewardship roles and responsibilities |
| Master Data Management | 20% | - Identity resolution - Data duplication and matching rules - Data cleansing techniques |
| Data Modeling | 25% | - Skinny tables for performance optimization - Normalization and denormalization strategies - Big Objects and external objects - Indexing strategies - Large Data Volumes (LDV) design considerations |
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NEW QUESTION # 192
Salesforce is being deployed in Ursa Major Solar's disparate, multi-system ERP environment. Ursa major Solar wants to maintain data synchronization between systems.
Which two techniques should be used to achieve this goal? (Choose two.)
Answer: C,D
NEW QUESTION # 193
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?
Answer: C
Explanation:
Option B is the most appropriate approach for data archiving in this scenario1. By aggregating order amount data at a summary level and storing it in a custom object, you can reduce data storage and still provide visibility to the Sales Reps on how much money each customer generates year-over-year. Option A is not correct because storing data in a zip file does not make it available in Salesforce. Option C is not correct because exporting and deleting orders and order line items may lose important details that are needed for analysis or reporting. Option D is not correct because deleting orders and order line items without exporting them may cause data loss or inconsistency if the customer does not have order information in another system.
NEW QUESTION # 194
Universal Container is using Salesforce for Opportunity management and enterprise resource planning (ERP) for order management. Sales reps do not have access to the ERP and have no visibility into order status.
What solution a data architect recommends to give the sales team visibility into order status?
Answer: B
NEW QUESTION # 195
Universal Containers (UC) has a custom discount request object set as a detail object with a custom product object as the master. There is a requirement to allow the creation of generic discount requests without the custom product object as its master record. What solution should an Architect recommend to UC?
Answer: A
NEW QUESTION # 196
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?
Answer: A
Explanation:
The best design pattern to satisfy the requirement of accessing order data from an on-premise database with REST API access without consuming SF storage limits is to use SF Connect to virtualize the data in SF and avoid storage limits. SF Connect is an integration tool that allows users to access and integrate data from external sources using external objects. External objects are similar to custom objects, except that the data resides in another system and is accessed in real time via web service callouts. SF Connect supports various adapters to connect to different types of external data sources, such as OData, cross-org, or Apex custom adapter11. Migrate and persist the data in SF to take advantage of native functionality is not a good option because it would consume SF storage limits and require data synchronization between systems. Develop a bidirectional integration between the on-premise system and Salesforce is not a good option because it would be complex and costly to implement and maintain, and it would also consume SF storage limits. Build a UI for the on-premise system and iframe it in Salesforce is not a good option because it would not provide a seamless user experience and it would not allow users to search, report, or perform actions on the external data.
NEW QUESTION # 197
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