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| Section | Weight | Objectives |
|---|---|---|
| Data Modeling/Database Design | 25% | - Describe the considerations when designing a data model for Salesforce - Describe the options and considerations for Large Data Volumes (LDV) - Explain the usage of external objects - Describe the implications of LDV on data modeling |
| Salesforce Data Management | 25% | - Describe the considerations for data governance - Describe the implications of LDV on data management - Describe the considerations for data archival - Describe the considerations for data migration |
| Data Migration | 15% | - Describe the implications of data migration on data quality - Describe the tools and best practices for data migration - Describe the considerations for data migration |
| Data Governance | 10% | - Describe the elements of a data governance framework - Describe the considerations for data quality - Describe the considerations for data classification |
| Large Data Volumes | 20% | - Describe the implications of LDV on data modeling - Describe the features and best practices for LDV - Describe the considerations for Large Data Volumes (LDV) |
| Master Data Management | 5% | - Describe the considerations for a Master Data Management strategy - Describe the methods for aligning data across systems |
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NEW QUESTION # 112
Universal Containers (UC) has implemented Sales Cloud for its entire sales organization, UC has built a custom object called projects_c that stores customers project detail and employee bitable hours.
The following requirements are needed:
- A subnet of individuals from the finance team will need to access to
the projects object for reporting and adjusting employee utilization.
- The finance users will not access to any sales objects, but they will need to interact with the custom object.
Which license type a data architect recommend for the finance team that best meets the requirements?
Answer: A
Explanation:
The data architect should recommend Lighting platform plus license type for the finance team that best meets the requirements. This license type allows users to access custom objects and run reports and dashboards on them, without accessing any sales objects.
NEW QUESTION # 113
UC has a classic encryption for Custom fields and is leveraging weekly data reports for data backups. During the data validation of exported data UC discovered that encrypted field values are still being exported as part of data exported. What should a data architect recommend to make sure decrypted values are exported during data export?
Answer: D
Explanation:
The best solution to make sure decrypted values are exported during data export is to create another field to copy data from encrypted field and use this field in export. This is because classic encryption does not support exporting decrypted values of encrypted fields. The view encrypted data permission only allows users to view decrypted values in the user interface, but not in reports or data exports. Therefore, a workaround is to create a formula field or a workflow field update that copies the value of the encrypted field to another field, and use that field for data export. However, this solution has some drawbacks, such as exposing sensitive data in plain text and consuming extra storage space. A better solution would be to use Shield Platform Encryption, which supports exporting decrypted values of encrypted fields with the Export Encrypted Data permission
NEW QUESTION # 114
What is a key cause of ownership data skew?
Answer: A
Explanation:
Ownership skew occurs when one user owns a large number of records, affecting performance.
NEW QUESTION # 115
Universal Containers is establishing a call center that will use Salesforce. UC receives 10 million calls and creates 100 million cases every month. Cases are linked to a custom call object using lookup relationship. UC would like to run reports and dashboard to better understand different case types being created on calls to better serve customers. What solution should a data architect recommend to meet the business requirement?
Answer: A
Explanation:
According to this article, big objects can store and manage massive amounts of data on the Salesforce platform. This can help UC to archive records from other objects or bring massive datasets from outside systems into a big object. According to this article, Einstein Analytics can be used to create dashboards and lenses to analyze big object data and get insights from advanced AI-driven analytics.
NEW QUESTION # 116
DreamHouse Realty has an integration that creates records in a Salesforce Custom Object. The Custom Object has a field marked as required on the page layout. DreamHouse Realty has noticed that many of the records coming from the external system are missing data in this field.
The Architect needs to ensure this field always contains data coming from the source system.
Which two approaches should the Architect take? Choose 2 answer
Answer: B,D
Explanation:
Setting up a Validation Rule to prevent blank values and marking the field required in setup at the field level are two approaches that the Architect should take to ensure that the field always contains data coming from the source system. A Validation Rule can display an error message when a record is created or edited with a blank value for the field, and prevent it from being saved. Marking the field required in setup at the field level can enforce the requirement for all records, regardless of the page layout or the source system. The other options are not effective or recommended for ensuring data quality, as they would either not prevent blank values, not apply to all records, or not address the root cause of the problem
NEW QUESTION # 117
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