Universal Containers (UC) is implementing a new customer categorization process where customers should be assigned to a Gold, Silver, or Bronze category if they've purchased UC's new support service. Customers are expected to be evenly distributed across all three categories. Currently, UC has around 500,000 customers, and is expecting 1% of existing non-categorized customers to purchase UC's new support service every month over the next five years.
What is the recommended solution to ensure long-term performance, bearing in mind the above requirements?
A. Implement a new global picklist custom field with Gold, Silver, and Bronze values and enable it in Account. B. Implement a new picklist custom field in the Account object with Gold, Silver, and Bronze values. C. Implement a new Categories custom object and a master-detail relationship from Account to Category. D. Implement a new Categories custom object and create a lookup field from Account to Category.
B. Implement a new picklist custom field in the Account object with Gold, Silver, and Bronze values.
Explanation
The recommended solution to ensure long-term performance for the customer categorization process is to implement a new picklist custom field in the Account object with Gold, Silver, and Bronze values. A picklist field is a simple and efficient way to store a predefined set of values for a record. A picklist field has the following benefits: It allows you to easily filter, sort, and group records by their category values, which can help you analyze and segment your customers. It does not require creating any additional objects or relationships, which can reduce the data model complexity and maintenance overhead. It supports large data volumes and can handle millions of records without affecting performance or scalability.
Exam B
Question 212:
A Customer is migrating 10 million order and 30 million order lines into Salesforce using Bulk API. The Engineer is experiencing time-out errors or long delays querying parents order IDs in Salesforce before importing related order line items.
What is the recommended solution?
A. Query only indexed ID field values on the imported order to import related order lines. B. Leverage an External ID from source system orders to import related order lines. C. Leverage Batch Apex to update order ID on related order lines after import. D. Leverage a sequence of numbers on the imported orders to import related order lines.
B. Leverage an External ID from source system orders to import related order lines.
Explanation
Leverage an External ID from source system orders to import related order lines. This is the recommended solution because it allows you to use the upsert operation to match records based on the External ID field, which is indexed and unique. This avoids the need to query the parent order IDs in Salesforce before importing the order line items, which can cause time-out errors or long delays1.
Question 213:
A customer needs a sales model that allows the following:
Opportunities need to be assigned to sales people based on the zip code.
Each sales person can be assigned to multiple zip codes.
Each zip code is assigned to a sales area definition.
Sales is aggregated by sales area for reporting.
What should a data architect recommend?
A. Assign opportunities using list views using zip code. B. Add custom fields in opportunities for zip code and use assignment rules. C. Allow sales users to manually assign opportunity ownership based on zip code. D. Configure territory management feature to support opportunity assignment.
D. Configure territory management feature to support opportunity assignment.
Explanation
The best solution to assign opportunities based on zip code and sales area is to configure territory management feature to support opportunity assignment. Territory management is a feature that allows you to organize your sales team into territories based on criteria such as geography, industry, product line, or customer segment. You can assign accounts and opportunities to territories using assignment rules or manual sharing. You can also define forecast managers and roll up forecasts by territory45. Assign opportunities using list views using zip code is not a good solution because it is inefficient and does not support reporting by sales area. Add custom fields in opportunities for zip code and use assignment rules is not a good solution because it requires creating additional fields and does not support reporting by sales area. Allow sales users to manually assign opportunity ownership based on zip code is not a good solution because it is prone to errors and does not support reporting by sales area.
Question 214:
A large Automobile company has implemented SF for its Sales Associates. Leads flow from its website to SF using a batch integration in SF. The Batch job connects the leads to Accounts in SF. Customer visiting their retail stores are also created in SF as Accounts.
The company has noticed a large number of duplicate accounts in SF. On analysis, it was found that certain customers could interact with its website and also visit the store. The Sales associates use Global Search to search for customers in Salesforce before they create the customers.
Which scalable option should a data Architect choose to implement to avoid duplicates?
A. Create duplicate rules in SF to validate duplicates during the account creation process B. Implement a MDM solution to validate the customer information before creating Accounts in SF. C. Build Custom search based on fields on Accounts which can be matched with customer when they visit the store D. Customize Account creation process to search if customer exists before creating an Account.
A. Create duplicate rules in SF to validate duplicates during the account creation process
Explanation
The data architect should choose to implement duplicate rules in SF (Salesforce) to validate duplicates during the account creation process. Duplicate rules are a feature in Salesforce that allow users to define criteria and actions for detecting and preventing duplicate records. By creating duplicate rules for accounts, the data architect can ensure that any leads from the website or customers from the retail stores that match existing accounts in Salesforce are flagged or blocked before they are created as new accounts. This will help avoid duplicate accounts in Salesforce and maintain data quality. Option B is incorrect because implementing a MDM (Master Data Management) solution to validate the customer information before creating accounts in SF will require additional infrastructure cost and maintenance effort. Option C is incorrect because building custom search based on fields on accounts which can be matched with customer when they visit the store will require additional development effort and may not be accurate or user- friendly. Option D is incorrect because customizing account creation process to search if customer exists before creating an account will require additional configuration effort and may not be consistent or scalable.
Question 215:
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?
A. Metadata API B. Tooling API C. Bulk API in serial mode D. SOAP API
A. Metadata API
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.
Question 216:
Universal Containers (UC) is implementing Salesforce and will be using Salesforce to track customer complaints, provide white papers on products, and provide subscription-based support.
Which license type will UC users need to fulfill UC's requirements?
A. Sales Cloud License B. Lightning Platform Starter License C. Service Cloud License D. Salesforce License
C. Service Cloud License
Explanation
Service Cloud License (option C) is the license type that UC users need to fulfill UC's requirements, as it allows them to track customer complaints, provide white papers on products, and provide subscription-based support. Sales Cloud License (option A) is mainly for managing sales processes and leads, Lightning Platform Starter License (option B) is for building custom apps and workflows, and Salesforce License (option D) is a generic term that does not specify a particular license type.
Question 217:
Universal Containers (UC) maintains a collection of several million Account records that represent business in the United Sates. As a logistics company, this list is one of the most valuable and important components of UC's business, and the accuracy of shipping addresses is paramount. Recently it has been noticed that too many of the addresses of these businesses are inaccurate, or the businesses don't exist.
Which two scalable strategies should UC consider to improve the quality of their Account addresses?
A. Contact each business on the list and ask them to review and update their address information. B. Build a team of employees that validate Accounts by searching the web and making phone calls. C. Integrate with a third-party database or services for address validation and enrichment. D. Leverage Data.com Clean to clean up Account address fields with the D&B database.
C. Integrate with a third-party database or services for address validation and enrichment. D. Leverage Data.com Clean to clean up Account address fields with the D&B database.
Explanation
Integrating with a third-party database or service for address validation and enrichment is a scalable strategy that can improve the quality of the Account addresses by comparing them with a reliable source of data1. Leveraging Data.com Clean to clean up Account address fields with the D&B database is another scalable strategy that can automatically update and enrich Account records with verified information from Data.com2.
Question 218:
Universal Containers (UC) owns several Salesforce orgs across a variety of business units. UC management has declared that it needs the ability to report on Accounts and Opportunities from each org in one place. Once the data is brought together into a global view, management would like to use advanced Al-driven analytics on the dataset.
Which tool should a data architect recommend to accomplish this reporting requirement?
A. Run standard reports and dashboards. B. Install a third-party AppExchange tool for multi-org reporting. C. Use Einstein Analytics for multi-org. D. Write a Python script to aggregate and visualize the data.
C. Use Einstein Analytics for multi-org.
Explanation
According to this article, Einstein Analytics for multi-org can help UC to report on accounts and opportunities from each org in one place. It can also provide advanced AI- driven analytics on the dataset using Einstein Discovery.
Question 219:
Universal Containers (UC) is implementing a Salesforce project with large volumes of data and daily transactions. The solution includes both real-time web service integrations and Visualforce mash -ups with back -end systems. The Salesforce Full sandbox used by the project integrates with full-scale back -end testing systems. What two types of performance testing are appropriate for this project? Choose 2 answers
A. Pre -go -live automated page -load testing against the Salesforce Full sandbox. B. Post go -live automated page -load testing against the Salesforce Production org. C. Pre -go -live unit testing in the Salesforce Full sandbox. D. Stress testing against the web services hosted by the integration middleware.
A. Pre -go -live automated page -load testing against the Salesforce Full sandbox. D. Stress testing against the web services hosted by the integration middleware.
Explanation
Pre-go-live automated page-load testing against the Salesforce Full sandbox can help identify and resolve any performance bottlenecks or issues before deploying the solution to production. The Full sandbox is an ideal environment for performance testing as it replicates the production org in terms of data, metadata, and integrations. Stress testing against the web services hosted by the integration middleware can also help evaluate the scalability and reliability of the integration solution under high load conditions.
Question 220:
NTO processes orders from its website via an order management system (OMS). The OMS stores over 2 million historical records and is currently not integrated with SF. The Sales team at NTO using Sales cloud and would like visibility into related customer orders yet they do not want to persist millions of records directly in Salesforce. NTO has asked the data architect to evaluate SF connect and the concept of data verification. Which 3 considerations are needed prior to a SF Connect implementation?
Choose 3 answers:
A. Create a 2nd system Admin user for authentication to the external source. B. Develop an object relationship strategy. C. Identify the external tables to sync into external objects D. Assess whether the external data source is reachable via an ODATA endpoint. E. Configure a middleware tool to poll external table data
B. Develop an object relationship strategy. C. Identify the external tables to sync into external objects D. Assess whether the external data source is reachable via an ODATA endpoint.
Explanation
The three considerations needed prior to a SF Connect implementation are to develop an object relationship strategy, identify the external tables to sync into external objects, and assess whether the external data source is reachable via an ODATA endpoint. SF Connect is a feature that allows integrating external data sources with Salesforce using external objects. External objects are similar to custom objects, but they store metadata only and not data. They enable on-demand access to external data via standard Salesforce APIs and user interfaces. To implement SF Connect, a data architect needs to consider how the external objects will relate to other objects in Salesforce, which external tables will be exposed as external objects, and whether the external data source supports ODATA protocol for data access.
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