A casino is implementing Salesforce and is planning to build a customer 360 degree view for a customer who visits its resorts. The casino currently maintains the following systems that record customer activity:
1. Point-of-sale system: All purchases for a customer
2. Salesforce; All customer service activity and sales activities for a customer
3. Mobile app: All bookings, preferences, and browser activity for a customer
4. Marketing: All email, SMS, and social campaigns for a customer
Customer service agents using Salesforce would like to view the activities from all four systems to provide support to customers. The information has to be current and real time.
What strategy should the data architect implement to satisfy this requirement?
A. Explore external data sources in Salesforce to build a 360-degree view of the customer. B. Use a customer data mart to create the 360-degree view of the customer. C. Periodically upload summary information in Salesforce to build a 360-degree view. D. Migrate customer activities fro, all four system into Salesforce.
A. Explore external data sources in Salesforce to build a 360-degree view of the customer.
Explanation
Exploring external data sources in Salesforce to build a 360 degree view of the customer (option A) is the best strategy to satisfy this requirement, as it allows customer service agents to view the activities from all four systems in real time without storing or replicating the data in Salesforce. Using a customer data mart to create the 360 degree view of the customer (option B) is not a good strategy, as it may introduce additional complexity and cost, and it does not leverage the native Salesforce features. Periodically uploading summary information in Salesforce to build a 360 degree view (option C) is also not a good strategy, as it may cause data latency and inconsistency, and it does not provide real-time information. Migrating customer activities from all four systems into Salesforce (option D) is also not a good strategy, as it may cause data redundancy and conflicts, and it does not scale well with large volumes of data.
Question 62:
Universal Containers (UC) is using Salesforce Sales & Service Cloud for B2C sales and customer service but they are experiencing a lot of duplicate customers in the system.
Which are two recommended approaches for UC to avoid duplicate data and increase the level of data quality?
A. Use Duplicate Management. B. Use an Enterprise Service Bus. C. Use Data.com Clean D. Use a data warehouse.
A. Use Duplicate Management. C. Use Data.com Clean
Explanation
Using Duplicate Management and Data.com Clean are two recommended approaches for UC to avoid duplicate data and increase the level of data quality. Duplicate Management can prevent or alert users when they try to create or edit records that are duplicates of existing records. Data.com Clean can compare Salesforce records with Data.com records and provide suggestions for updates or removals of duplicate records.
Question 63:
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?
A. Master-detail relationship filed on Account, related to Inventory_c B. Master-detail relationship filed on Inventory_c, related to Account C. Indirect lookup relationship field on Account, related to Inventory_c D. Lookup relationship fields on Inventory related to Account
B. Master-detail relationship filed on Inventory_c, related to Account
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: Master-detail relationship field on Account, related to Inventory__c (option A) is not a good solution, as it reverses the direction of the relationship. This means creating a field on the Account object that references the Inventory__c object as its parent. This is not possible, as a standard object cannot be on the detail side of a master-detail relationship. Indirect lookup relationship field on Account, related to Inventory__c (option C) is also not a good solution, as it is a special type of relationship field that allows linking a custom object to a standard object on an external system using an indirect reference. This is not applicable for this scenario, as both objects are in Salesforce and do not need an external reference.
Lookup relationship field on Inventory__c related to Account (option D) is also not a good solution, as it establishes a looser relationship between two objects than a master-detail relationship. A lookup relationship field does not inherit sharing and security settings from the parent object to the child object, does not cascade delete from the parent object to the child object, and does not roll up summary fields from the child object to the parent object.
Question 64:
Universal Containers (UC) has a complex system landscape and is implementing a data governance program for the first time.
Which two first steps would be appropriate for UC to initiate an assessment of data architecture? Choose 2 answers
A. Engage with IT program managers to assess current velocity of projects in the pipeline. B. Engage with database administrators to assess current database performance metrics. C. Engage with executive sponsorship to assess enterprise data strategy and goals. D. Engage with business units and IT to assess current operational systems and data models.
C. Engage with executive sponsorship to assess enterprise data strategy and goals. D. Engage with business units and IT to assess current operational systems and data models.
Explanation
Engaging with executive sponsorship to assess enterprise data strategy and goals, and engaging with business units and IT to assess current operational systems and data models are two first steps that would be appropriate for UC to initiate an assessment of data architecture. These steps will help to understand the current state of data management, the business needs and expectations, and the gaps and opportunities for improvement. Engaging with IT program managers to assess current velocity of projects in the pipeline, and engaging with database administrators to assess current database performance metrics are not relevant steps for assessing data architecture, as they are more related to project management and technical performance.
Question 65:
A large insurance provider is looking to implement Salesforce. The following exist.
1. Multiple channel for lead acquisition
2. Duplication leads across channels
3. Poor customer experience and higher costs
On analysis, it found that there are duplicate leads that are resulting to mitigate the issues? (Choose three.)
A. Build process is manually search and merge duplicates. B. Standard lead information across all channels. C. Build a custom solution to identify and merge duplicate leads. D. Implement third-party solution to clean and event lead data. E. Implement de-duplication strategy to prevent duplicate leads
B. Standard lead information across all channels. D. Implement third-party solution to clean and event lead data. E. Implement de-duplication strategy to prevent duplicate leads
Explanation
According to the Salesforce documentation2, duplicate leads are leads that have the same or similar information as other leads in Salesforce. Duplicate leads can cause poor customer experience, higher costs, and inaccurate reporting. To mitigate the issues caused by duplicate leads, some of the recommended practices are: Standardize lead information across all channels (option B). This means using consistent formats, values, and fields for capturing lead data from different sources, such as web forms, email campaigns, or third-party vendors. This can help reduce data quality issues and make it easier to identify and prevent duplicate leads.
Implement a third-party solution to clean and enrich lead data (option D). This means using an external service or tool that can validate, correct, update, and enhance lead data before or after importing it into Salesforce. This can help improve data quality and accuracy, and reduce duplicate leads. Implement a de-duplication strategy to prevent duplicate leads (option E). This means using Salesforce features or custom solutions that can detect and block duplicate leads from being created or imported into Salesforce. For example, using Data.com Duplicate Management3, which allows defining matching rules and duplicate rules for leads and other objects.
Building a process to manually search and merge duplicates (option A) is not a good practice, as it can be time-consuming, error-prone, and inefficient. Building a custom solution to identify and merge duplicate leads (option C) is also not a good practice, as it can be complex, costly, and difficult to maintain. It is better to use existing Salesforce features or third-party solutions that can handle duplicate leads more effectively.
Question 66:
Northern Trail Outfitters (NTO) has a variety of customers that include householder, businesses, and individuals.
The following conditions exist within its system:
NTO has a total of five million customers.
Duplicate records exist, which is replicated across many systems, including Salesforce.
Given these conditions, there is a lack of consistent presentation and clear identification of a customer record.
Which three option should a data architect perform to resolve the issues with the customer data?
A. Create a unique global customer ID for each customer and store that in all system for referential identity. B. Use Salesforce CDC to sync customer data cross all systems to keep customer record in sync. C. Invest in data duplicate tool to de-dupe and merge duplicate records across all systems. D. Duplicate customer records across the system and provide a two-way sync of data between the systems. E. Create a customer master database external to Salesforce as a system of truth and sync the customer data with all systems.
A. Create a unique global customer ID for each customer and store that in all system for referential identity. C. Invest in data duplicate tool to de-dupe and merge duplicate records across all systems. E. Create a customer master database external to Salesforce as a system of truth and sync the customer data with all systems.
Explanation
Creating a unique global customer ID for each customer and storing that in all systems for referential identity (option A), investing in a data duplicate tool to de-dupe and merge duplicate records across all systems (option C), and creating a customer master database external to Salesforce as a system of truth and syncing the customer data with all systems (option E) are the three options that a data architect should perform to resolve the issues with the customer data. Option A ensures that each customer can be uniquely identified across different systems, option C eliminates duplicate records and improves data quality, and option E provides a consistent and reliable source of customer data for all systems. Using Salesforce CDC to sync customer data across all systems (option B) is not a good option, as it does not address the duplication or inconsistency issues. Duplicating customer records across the system and providing a two-way sync of data between the systems (option D) is also not a good option, as it may create more confusion and conflicts with customer data.
Question 67:
Northern Trail Outfitters (NTO) has the following systems:
Customer master-source of truth for customer information Service cloud-customer support
Marketing cloud-marketing support
Enterprise data warehouse--business reporting
The customer data is duplicated across all these systems and are not kept in sync. Customers are also complaining that they get repeated marketing emails and have to call into update their information.
NTO is planning to implement master data management (MDM) solution across the enterprise.
Which three data will an MDM tool solve?
Choose 3 answers
A. Data completeness B. Data loss and recovery C. Data duplication D. Data accuracy and quality E. Data standardization
C. Data duplication D. Data accuracy and quality E. Data standardization
Explanation
According to the What is Master Data Management (MDM)? article, some of the data challenges that an MDM tool can solve are data duplication, data accuracy and quality, and data standardization. The article states that "MDM solutions comprise a broad range of data cleansing, transformation, and integration practices. As data sources are added to the system, MDM initiates processes to identify, collect, transform, and repair data. Once the data meets the quality thresholds, schemas and taxonomies are created to help maintain a high-quality master reference." Therefore, an MDM tool can help NTO eliminate data duplication across different systems, improve data accuracy and quality by removing errors and inconsistencies, and standardize data formats and definitions for better integration and analysis.
Question 68:
Universal Containers (UC) wants to store product data in Salesforce, but the standard Product object does not support the more complex hierarchical structure which is currently being used in the product master system.
How can UC modify the standard Product object model to support a hierarchical data structure in order to synchronize product data from the source system to Salesforce?
A. Create a custom lookup filed on the standard Product to reference the child record in the hierarchy. B. Create a custom lookup field on the standard Product to reference the parent record in the hierarchy. C. Create a custom master-detail field on the standard Product to reference the child record in the hierarchy. D. Create an Apex trigger to synchronize the Product Family standard picklist field on the Product object.
B. Create a custom lookup field on the standard Product to reference the parent record in the hierarchy.
Explanation
Creating a custom lookup field on the standard Product to reference the parent record in the hierarchy is the correct way to modify the standard Product object model to support a hierarchical data structure. This allows UC to create a self- relationship on the Product object and define parent-child relationships among products.
Question 69:
DreamHouse Realty has a Salesforce org that is used to manage Contacts.
What are two things an Architect should consider using to maintain data quality in this situation? (Choose two.)
A. Use the private sharing model. B. Use Salesforce duplicate management. C. Use validation rules on new record create and edit. D. Use workflow to delete duplicate records.
B. Use Salesforce duplicate management. C. Use validation rules on new record create and edit.
Explanation
Using Salesforce duplicate management and using validation rules on new record create and edit are two things that an architect should consider using to maintain data quality for managing Contacts. Salesforce duplicate management allows the architect to create matching rules and duplicate rules to identify, prevent, or allow duplicate records based on various criteria. Validation rules allow the architect to enforce data quality standards and business logic by displaying error messages when users try to save invalid data. The other options are not relevant or helpful for maintaining data quality
Question 70:
Universal Containers (UC) has built a custom application on Salesforce to help track shipments around the world. A majority of the shipping records are stored on premise in an external data source. UC needs shipment details to be exposed to the custom application, and the data needs to be accessible in real time. The external data source is not OData enabled, and UC does not own a middleware tool.
Which Salesforce Connect procedure should a data architect use to ensure UC's requirements are met?
A. Write an Apex class that makes a REST callout to the external API. B. Develop a process that calls an inviable web service method. C. Migrate the data to Heroku and register Postgres as a data source. D. Write a custom adapter with the Apex Connector Framework.
D. Write a custom adapter with the Apex Connector Framework.
Explanation
According to this article, the Apex Connector Framework enables developers to create custom adapters for Salesforce Connect to access data from external systems that are not OData enabled. This can meet UC's requirements of exposing shipment details to the custom application and accessing the data in real time.
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