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| Section | Objectives |
|---|---|
| Data Modeling and Database Design | - Data modeling concepts
|
| Large Data Volume and Performance | - Scalability considerations
|
| Master Data Management (MDM) | - MDM architecture
|
| Data Integration | - Integration patterns
|
| Data Governance and Management | - Security and compliance
|
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NEW QUESTION # 57
DreamHouse Realty has a data model as shown in the image. The Project object has a private sharing model, and it has Roll-Up summary fields to calculate the number of resources assigned to the project, total hours for the project, and the number of work items associated to the project.
There will be a large amount of time entry records to be loaded regularly from an external system into Salesforce.
What should the Architect consider in this situation?
Answer: C
Explanation:
According to the exam guide, one of the objectives is to "describe the use cases and considerations for deferring sharing calculations"1. This implies that option A is the correct way to load large amounts of data into Salesforce without affecting performance and data integrity. Deferring sharing calculations allows the data to be loaded first and then the sharing rules to be applied later2. Option B is not correct because workflows are not recommended for calculating summary values, as they can cause performance issues and data skew3. Option C is not correct because triggers are also not recommended for calculating summary values, as they can cause governor limit errors and data inconsistency. Option D is not correct because external IDs are used to link records from different systems, not to improve data loading performance.
NEW QUESTION # 58
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: B
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. Option A is incorrect because logging a case with salesforce to make sharing rule changes will not speed up the process or prevent failures. Option C is incorrect because deleting old sharing rules and building new sharing rules will not reduce the processing time or failure rate. Option D is incorrect because logging out all users and making changes to sharing rules will disrupt the business operations and may not be feasible.
NEW QUESTION # 59
UC is using SF CRM. UC sales managers are complaining about data quality and would like to monitor and measure data quality.
Which 2 solutions should a data architect recommend to monitor and measure data quality?
Choose 2 answers.
Answer: A,C
NEW QUESTION # 60
Universal Containers (UC) has three systems: Salesforce, a cloud -based ERP system, and an on -premise Order Management System (OMS). An architect has been tasked with creating a solution that uses Salesforce as the system of record for Leads and the OMS as the system of record for Account and Contacts. UC wants Accounts and Contacts to be able to maintain their names in each system (i.e., "John Doe" in the OMS and
"Johnny Doe" in Salesforce), but wants to have a consolidated data store which links referenced records across the systems. What approach should an architect suggest so the requirements are met?
Answer: C
Explanation:
Implementing a Master Data Management strategy to reconcile Leads, Accounts, and Contacts is the approach that the architect should suggest so that the requirements are met for UC. A Master Data Management strategy can provide a consistent and unified view of data across multiple systems, by defining and enforcing rules for data quality, governance, and integration. A Master Data Management strategy can also handle complex scenarios where different systems have different systems of record for different entities or fields, and where data can be modified in different systems with different values. A Master Data Management strategy can also provide a consolidated data store that links referenced records across systems and enables cross-system reporting and analysis. The other options are not suitable or sufficient for meeting the requirements, as they would either not provide a consolidated data store, not handle different systems of record, or not allow data modification in different system
NEW QUESTION # 61
UC has a roll-up summary field on Account to calculate the count of contacts associated with an account. During the account load, SF is throwing an "Unable to lock a row" error.
Which solution should a data architect recommend, to resolve the error?
Answer: D
Explanation:
The best solution to resolve the error of "Unable to lock a row" during the account load is to perform batch job in serial mode and reduce batch size. This is because roll-up summary fields are calculated synchronously when the parent record is updated, and asynchronously when the child record is updated. Therefore, updating many child records at once can cause locking issues on the parent record. To avoid this, it is recommended to use serial mode and smaller batch sizes when loading data using tools like Data Loader or Bulk API12. Leverage data loader platform API to load data is not a good option because it does not specify the mode or batch size. Perform batch job in parallel mode and reduce batch size is not a good option because parallel mode can still cause locking issues even with smaller batches. Defer roll-up summary fields calculation during data migration is not a good option because it is not possible to defer or disable roll-up summary fields calculation
NEW QUESTION # 62
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