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| Section | Weight | Objectives |
|---|---|---|
| Master Data Management | 5% | - Describe the methods for aligning data across systems - Describe the considerations for a Master Data Management strategy |
| Data Modeling/Database Design | 25% | - Explain the usage of external objects - Describe the considerations when designing a data model for Salesforce - Describe the options and considerations for Large Data Volumes (LDV) - Describe the implications of LDV on data modeling |
| Salesforce Data Management | 25% | - Describe the considerations for data archival - Describe the considerations for data governance - Describe the considerations for data migration - Describe the implications of LDV on data management |
| Data Governance | 10% | - Describe the considerations for data quality - Describe the considerations for data classification - Describe the elements of a data governance framework |
| Data Migration | 15% | - Describe the implications of data migration on data quality - Describe the considerations for data migration - Describe the tools and best practices for data migration |
| Large Data Volumes | 20% | - Describe the considerations for Large Data Volumes (LDV) - Describe the features and best practices for LDV - Describe the implications of LDV on data modeling |
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103. Frage
Universal Containers is planning out their archiving and purging plans going forward for their custom objects Topic__c and Comment__c. Several options are being considered, including analytics snapshots, offsite storage, scheduled purges, etc. Which three questions should be considered when designing an appropriate archiving strategy?
Antwort: A,B,C
Begründung:
The three questions that should be considered when designing an appropriate archiving strategy are: If reporting is necessary, can the information be aggregated into fewer, summary records?
Will the data being archived need to be reported on or accessed in any way in the future? Are there any regulatory restrictions that will influence the archiving and purging plans? These questions are important because they help determine the scope, frequency, and method of archiving and purging data from Salesforce. For example, if reporting is necessary, then summary records or analytics snapshots can be used to store aggregated data and reduce the number of records that need to be archived. If the data being archived needs to be accessed in the future, then offsite storage or external objects can be used to retain the data and make it available on demand. If there are any regulatory restrictions, such as GDPR or HIPAA, then the archiving and purging plans need to comply with them and ensure data security and privacy
104. Frage
Universal Containers (UC) is in the process of migrating legacy inventory data from an enterprise resources planning (ERP) system into Sales Cloud with the following requirements:
- Legacy inventory data will be stored in a custom child object called
Inventory_c.
- Inventory data should be related to the standard Account object.
- The Inventory object should Invent the same sharing rules as the
Account object.
- Anytime an Account record is deleted in Salesforce, the related
Inventory_c record(s) should be deleted as well.
What type of relationship field should a data architect recommend in this scenario?
Antwort: C
Begründung:
According to the Salesforce documentation, a relationship field is a field that allows linking one object to another object in Salesforce. There are different types of relationship fields that have different characteristics and behaviors, such as master-detail, lookup, indirect lookup, external lookup, etc.
To recommend a type of relationship field for this scenario, where legacy inventory data will be stored in a custom child object called Inventory__c, inventory data should be related to the standard Account object, the Inventory__c object should inherit the same sharing rules as the Account object, and anytime an Account record is deleted in Salesforce, the related Inventory__c record(s) should be deleted as well, a data architect should recommend:
Master-detail relationship field on Inventory__c, related to Account (option B). This means creating a field on the Inventory__c object that references the Account object as its parent. A master-detail relationship field establishes a parent-child relationship between two objects, where the parent object controls certain behaviors of the child object. For example, a master-detail relationship field can:
Inherit the sharing and security settings from the parent object to the child object. This means that the users who can access and edit the parent record can also access and edit the related child records.
Cascade delete from the parent object to the child object. This means that when a parent record is deleted, all the related child records are also deleted.
Roll up summary fields from the child object to the parent object. This means that the parent object can display aggregated information from the child records, such as count, sum, min, max, or average.
105. Frage
Universal Containers is looking to use Salesforce to manage their sales organization. They will be migrating legacy account data from two aging systems into Salesforce. Which two design considerations should an architect take to minimize data duplication? Choose 2 answer
Antwort: B,C
Begründung:
Cleaning data before importing to Salesforce and using Salesforce matching and duplicate rules are two design considerations that an architect should take to minimize data duplication when migrating legacy account data from two aging systems into Salesforce. Cleaning data before importing involves removing or correcting any inaccurate, incomplete, or inconsistent data from the source systems, as well as identifying and resolving any potential duplicates. This ensures that only high-quality and unique data is imported to Salesforce. Using Salesforce matching and duplicate rules allows the architect to define how Salesforce identifies duplicate records during import and how users can handle them. This prevents or reduces the creation of duplicate records in Salesforce and improves data quality. The other options are not effective or recommended for minimizing data duplication.
106. Frage
Northern Trail Outfitters (NTO) has an external product master system that syncs product and pricing information with Salesforce. Users have been complaining that they are seeing discrepancies in product and pricing information displayed on the NTO website and Salesforce.
As a data architect, which action is recommended to avoid data sync issues?
Antwort: A
Begründung:
According to Trailhead, Customer 360 Data Manager is a feature that allows administrators to connect, reconcile, and share customer data across Salesforce orgs and external systems.
Customer 360 Data Manager can sync product and pricing information from product master database to Salesforce using predefined mappings and rules, ensuring data quality and consistency. Option D is the correct answer because it suggests using Customer 360 Data Manager to sync product and pricing information from product master database to Salesforce.
107. Frage
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?
Antwort: B
Begründung:
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.
108. Frage
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