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| Section | Objectives |
|---|---|
| Topic 1: Data Management | - Master data management (MDM) concepts - Data quality management - Data governance principles |
| Topic 2: Data Integration | - Integration patterns in Salesforce - ETL vs ELT strategies - API-based integration approaches |
| Topic 3: Data Migration | - Data cleansing and transformation - Data migration strategies and planning |
| Topic 4: Data Architecture and Design | - Conceptual and logical data modeling - Data modeling best practices in Salesforce - Handling large data volume and scalability considerations |
| Topic 5: Salesforce Data Model and Platform Capabilities | - Relationships and schema design - Standard and custom objects - Reporting and analytics considerations |
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NEW QUESTION # 137
Universal Containers has been a customer of Salesforce for 10 years. Currently they have 2 million accounts in the system. Due to an erroneous integration built 3 years ago, it is estimated there are 500,000 duplicates in the system. Which solution should a data architect recommend to remediate the duplication issue?
Answer: B
Explanation:
Implementing duplicate rules (option D) is the best solution to remediate the duplication issue, as it allows the data architect to identify and merge duplicate accounts in Salesforce using native features and tools.
NEW QUESTION # 138
An architect has been asked to provide error messages when a future date is detected in a custom Birthdate _c field on the Contact object. The client wants the ability to translate the error messages. What are two approaches the architect should use to achieve this solution? Choose 2 answer
Answer: B,D
Explanation:
Creating a trigger on Contact and adding an error to the record with a custom label allows the architect to use the translation workbench to translate the error message based on the user's language. Creating a validation rule and translating the error message with translation workbench also achieves the same result. The other options would either not provide translation functionality or not display an error message
NEW QUESTION # 139
A large telecommunication provider that provides internet services to both residence and business has the following attributes:
- A customer who purchases its services for their home will be created
as an Account in Salesforce.
- Individuals within the same house address will be created as Contact
in Salesforce.
- Businesses are created as Accounts in Salesforce.
- Some of the customers have both services at their home and business.
What should a data architect recommend for a single view of these customers without creating multiple customer records?
Answer: A
Explanation:
Creating customers as Contacts and relating them to Business and Residential Accounts using the Account Contact Relationships (option A) is the best option to recommend for a single view of these customers without creating multiple customer records, as it allows the data architect to model complex relationships between customers and accounts using native Salesforce features and tools.
NEW QUESTION # 140
North Trail Outfitters (NTD) is in the process of evaluating big objects to store large amounts of asset data from an external system. NTO will need to report on this asset data weekly. Which two native tools should a data architect recommend to achieve this reporting requirement?
Answer: B,D
Explanation:
Async SOQL with a custom object (option B) and Einstein Analytics (option D) are the two native tools that can be used to report on big object data. Async SOQL allows querying big object data and storing the results in a custom object, which can then be used for reporting. Einstein Analytics can connect to big object data sources and provide advanced analytics and visualization features.
NEW QUESTION # 141
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: D
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 adapter. 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 # 142
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