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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Master Data Management | 5% | - Describe the considerations for a Master Data Management strategy - Describe the methods for aligning data across systems |
| Topic 2: Salesforce Data Management | 25% | - Describe the considerations for data migration - Describe the implications of LDV on data management - Describe the considerations for data archival - Describe the considerations for data governance |
| Topic 3: Data Modeling/Database Design | 25% | - Describe the options and considerations for Large Data Volumes (LDV) - Describe the implications of LDV on data modeling - Explain the usage of external objects - Describe the considerations when designing a data model for Salesforce |
| Topic 4: Large Data Volumes | 20% | - Describe the implications of LDV on data modeling - Describe the considerations for Large Data Volumes (LDV) - Describe the features and best practices for LDV |
| Topic 5: Data Migration | 15% | - Describe the tools and best practices for data migration - Describe the considerations for data migration - Describe the implications of data migration on data quality |
| Topic 6: Data Governance | 10% | - Describe the considerations for data classification - Describe the elements of a data governance framework - Describe the considerations for data quality |
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NEW QUESTION # 201
Universal Container (US) is replacing a home-grown CRM solution with Salesforce, UC has decided to migrate operational (Open and active) records to Salesforce, while keeping historical records in legacy system, UC would like historical records to be available in Salesforce on an as needed basis. Which solution should a data architect recommend to meet business requirement?
Answer: D
Explanation:
According to the Using Mashups article on Salesforce Developers, one of the techniques for deploying large data volumes is to use mashups to display historical records in Salesforce. The article states that "Mashups are a way to display data from an external system within a Salesforce page without copying or synchronizing the data. Mashups use a combination of Visualforce, Apex callouts, and JavaScript code that runs in the browser. Mashups are useful when you want to display large amounts of read-only data that is stored outside of Salesforce." Therefore, a data architect should recommend this solution to meet the business requirement of UC.
NEW QUESTION # 202
Universal Containers (UC) has implemented Sales Cloud and it has been noticed that Sales reps are not entering enough data to run insightful reports and dashboards. UC executives would like to monitor and measure data quality metrics. What solution addresses this requirement?
Answer: D
Explanation:
Using third-party AppExchange tools to monitor and measure data quality can address the requirement of UC executives by providing features such as data cleansing, deduplication, validation, enrichment, and scoring. These tools can help improve the accuracy, completeness, and consistency of the data entered by sales reps .
NEW QUESTION # 203
A Salesforce customer has plenty of data storage. Sales Reps are complaining that searches are bringing back old records that aren't relevant any longer. Sales Managers need the data for their historical reporting. What strategy should a data architect use to ensure a better user experience for the Sales Reps?
Answer: B
Explanation:
Archiving and purging old data from Salesforce on a monthly basis is a good strategy to improve the user experience for the Sales Reps, as it will reduce the clutter and improve the search performance. Creating a permission set or setting data access to private are not effective ways to hide old data from Sales Reps, as they will still consume data storage and affect search results.
Using Batch Apex to archive old data on a rolling nightly basis is also not a good option, as it will consume API requests and processing time, and may not comply with the data retention policy.
NEW QUESTION # 204
UC migrating 100,000 Accounts from an enterprise resource planning (ERP) to salesforce and is concerned about ownership skew and performance. Which 3 recommendations should a data architect provide to prevent ownership skew? Choose 3 answer
Answer: A,C,E
Explanation:
According to the Salesforce documentation, ownership skew occurs when a large number of records (more than 10,000) are owned by a single user or queue. This can cause performance issues and lock contention when multiple users try to access or update those records. To prevent ownership skew, some of the recommended practices are:
Assign a default user as the owner of the records and do not assign any role to the default user (option C). This way, the records will not be visible to other users in the role hierarchy and will not cause sharing recalculations.
Keep users out of public groups that can be used as the source for sharing rules (option B).
Sharing rules based on public groups can cause excessive sharing calculations and lock contention when many records are owned by a single user or queue.
Assign a default user as the owner of the records and assign the top most role in the hierarchy to the default user (option E). This way, the records will be visible to all users in the role hierarchy, but will not cause sharing recalculations or lock contention.
NEW QUESTION # 205
What makes Skinny tables fast? Choose three answer
Answer: B,C,E
Explanation:
Skinny tables are custom tables that contain frequently used fields from a standard or custom object. They are used to improve performance by reducing the number of database joins required for queries. Skinny tables have the following characteristics:
They do not include soft-deleted records, which means they only contain active records and save space.
They avoid resource intensive joins by storing data from multiple objects in one table, which reduces the query time and complexity.
Their tables are kept in sync with their source tables when the source tables are modified, which ensures data consistency and accuracy.
NEW QUESTION # 206
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