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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: 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 3: Data Modeling/Database Design | 25% | - Describe the implications of LDV on data modeling - 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 |
| Topic 4: 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 |
| Topic 5: Salesforce Data Management | 25% | - Describe the implications of LDV on data management - Describe the considerations for data archival - Describe the considerations for data governance - Describe the considerations for data migration |
| Topic 6: Data Governance | 10% | - Describe the elements of a data governance framework - Describe the considerations for data classification - Describe the considerations for data quality |
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NEW QUESTION # 131
Ursa Major Solar has defined a new Data Quality Plan for their Salesforce data. Which two approaches should an Architect recommend to enforce the plan throughout the organization?
(Choose two.)
Answer: C,D
Explanation:
Enforcing critical business processes by using Workflow, Validation Rules, and Apex code can help ensure data quality and consistency by applying rules and logic to the data entry and update.
Scheduling a weekly dashboard displaying records that are missing information to be sent to managers for review can help identify and fix data quality issues by providing visibility and accountability.
NEW QUESTION # 132
NTO would like to retrieve their SF orgs meta data programmatically for backup within a various external. Which API is the best fit for accomplishing this task?
Answer: B
Explanation:
The best API for retrieving Salesforce org metadata programmatically is the Metadata API. The Metadata API provides access to the metadata that defines the structure and configuration of an org, such as custom objects, fields, workflows, security settings, etc. It also supports deploying, retrieving, creating, updating, and deleting metadata components. The Metadata API can be used with various tools, such as Ant, Workbench, or IDEs.
NEW QUESTION # 133
A custom pricing engine for a Salesforce customer has to be decided by factors with the following hierarchy:
- State in which the customer is located
- City in which the customer is located if available
- Zip code in which the customer is located if available
- Changes to this information should have minimum code changes
What should a data architect recommend to maintain this information for the custom pricing engine that is to be built in Salesforce?
Answer: B
Explanation:
According to the Get Started with Custom Metadata Types unit on Trailhead, one of the use cases for custom metadata types is to define custom charges for an accounting app. The unit states that "Say that your org uses a standard accounting app. You can create a custom metadata type that defines custom charges, like duties and VAT rates. Then you can write some Apex code that calculates the total amount due for each invoice by using the metadata from your custom metadata type." Therefore, a similar approach can be used to maintain the pricing criteria for a custom pricing engine in Salesforce.
NEW QUESTION # 134
Universal Containers (UC) has adopted Salesforce as its primary sales automated tool. UC has
100,00 customers with a growth rate of 10% a year, UC uses an on-premise web-based billing and invoice system that generates over 1 million invoices a year supporting a monthly billing cycle.
The UC sales team needs to be able to pull a customer record and view their account status, Invoice history, and opportunities without navigating outside of Salesforce.
What should a data architect use to provide the sales team with the required functionality?
Answer: D
Explanation:
To provide the sales team with the required functionality, a data architect should use a mashup page that will present the billing system records within Salesforce. A mashup page is a web page that combines data from multiple sources into a single integrated view. A mashup page can be created using Visualforce or Lightning Web Components, and can use Salesforce Connect or custom integrations to access external data from the on-premise web-based billing and invoice system. This will allow the sales team to pull a customer record and view their account status, invoice history, and opportunities without navigating outside of Salesforce.
NEW QUESTION # 135
During the implementation of Salesforce, a customer has the following requirements for Sales Orders:
1. Sales Order information needs to be shown to users in Salesforce.
2. Sales Orders are maintained in the on-premises enterprise resource planning (ERP).
3. Sales Order information has more than 150 million records.
4. Sales Orders will not be updated in Salesforce.
What should a data architect recommend for maintaining Sales Orders in salesforce?
Answer: D
Explanation:
Using external objects to maintain Sales Order in Salesforce is the best recommendation for maintaining Sales Orders in Salesforce, as it allows users to access large volumes of data stored outside Salesforce without copying or synchronizing it. Using custom objects, custom big objects, or standard order object may not be feasible or optimal for storing more than 150 million records that will not be updated in Salesforce.
NEW QUESTION # 136
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