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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 Governance | 10% | - Describe the considerations for data quality - Describe the considerations for data classification - Describe the elements of a data governance framework |
| 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) |
| 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 |
| Salesforce Data Management | 25% | - Describe the considerations for data governance - Describe the implications of LDV on data management - Describe the considerations for data migration - Describe the considerations for data archival |
| Data Modeling/Database Design | 25% | - Describe the implications of LDV on data modeling - 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) |
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When you take Salesforce Plat-Arch-201 practice exams again and again you get familiar with the Salesforce Certified Platform Data Architect (Plat-Arch-201) real test pressure and learn to handle it for better outcomes. Features of the web-based and desktop Plat-Arch-201 Practice Exams are similar. The only difference is that the Salesforce Certified Platform Data Architect (Plat-Arch-201) web-based version works online.
NEW QUESTION # 153
North Trail Outfitters (NTO) operates a majority of its business from a central Salesforce org, NTO also owns several secondary orgs that the service, finance, and marketing teams work out of, At the moment, there is no integration between central and secondary orgs, leading to data- visibility issues.
Moving forward, NTO has identified that a hub-and-spoke model is the proper architect to manage its data, where the central org is the hub and the secondary orgs are the spokes.
Which tool should a data architect use to orchestrate data between the hub org and spoke orgs?
Answer: C
Explanation:
According to the Salesforce documentation, a hub-and-spoke model is an integration architecture pattern that allows connecting multiple Salesforce orgs using a central org (hub) and one or more secondary orgs (spokes). The hub org acts as the master data source and orchestrates the data flow between the spoke orgs. The spoke orgs act as the consumers or producers of the data and communicate with the hub org.
To orchestrate data between the hub org and spoke orgs, a data architect should use:
A middleware solution that extracts and distributes data across both the hub and spokes (option A). This means using an external service or tool that can connect to multiple Salesforce orgs using APIs or connectors, and perform data extraction, transformation, and distribution operations between the hub and spoke orgs. This can provide a scalable, flexible, and reliable way to orchestrate data across multiple orgs.
NEW QUESTION # 154
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: D
Explanation:
According to the exam guide, one of the objectives is to "describe the use cases and considerations for deferring sharing calculations". 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 later.
NEW QUESTION # 155
Northern Trail Outfitters (NTO) has recently implemented Salesforce to track opportunities across all their regions. NTO sales teams across all regions have historically managed their sales process in Microsoft Excel. NTO sales teams are complaining that their data from the Excel files were not migrated as part of the implementation and NTO is now facing low Salesforce adoption.
What should a data architect recommend to increase Salesforce adoption?
Answer: B
Explanation:
According to Trailhead, one of the best practices to increase Salesforce adoption is to migrate existing data from legacy systems or spreadsheets into Salesforce, so that users can access all their data in one place and leverage the features and functionality of Salesforce. Option B is the correct answer because it suggests defining a standard mapping and training sales users to import opportunity data from Excel files into Salesforce, which can help them transition from their old process and increase their confidence and satisfaction with Salesforce.
NEW QUESTION # 156
Universal Containers (UC) has 50 million customers and stores customer order history on an ERP system. UC also uses Salesforce to manage opportunities and customer support.
In order to provide seamless customer support, UC would like to see the customer's order history when viewing the customer record during a sales or support call.
What should a data architect do in order to provide this functionality, while preserving the user experience?
Answer: B
Explanation:
According to Trailhead, Salesforce Connect is a feature that allows administrators to integrate external data sources with Salesforce without copying or synchronizing the data. Salesforce Connect can use external objects to display the external data in Salesforce as if it were stored in Salesforce objects, enabling seamless user experience and real-time access. Option B is the correct answer because it suggests using Salesforce Connect and an external object to display the order history in Salesforce.
NEW QUESTION # 157
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?
Answer: A
Explanation:
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.
NEW QUESTION # 158
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