UC has migrated its Back-office data into an on-premise database with REST API access. UC recently implemented Sales cloud for its sales organization. But users are complaining about a lack of order data inside SF.

UC is concerned about SF storage limits but would still like Sales cloud to have access to the data.

Which design patterns should a data architect select to satisfy the requirement?

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: L 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 Salesforee 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?

NTO need to extract 50 million records from a custom object everyday from its Salesforce org. NTO is facing query timeout issues while extracting these records.

What should a data architect recommend in order to get around the time out issue?

DreamHouse Realty has 15 million records in the Order_c custom object. When running a bulk query, the query times out.

What should be considered to address this issue?

Universal Container (UC) has around 200,000 Customers (stored in Account object). They get 1 or 2 Orders every month from each Customer. Orders are stored in a custom object called "Order c"; this has about 50 fields. UC is expecting a growth of 10% year -over -year. What are two considerations an architect should consider to improve the performance of SOQL queries that retrieve data from the Order _c object? Choose 2 answers

Cloud Kicks stores Invoice records in a custom object. Invoice records are being sent to the Accounting department with missing States and incorrectly formatted Postal Codes.

Which two actions should Cloud Kicks take to improve data quality? (Choose two.)

UC is using SF CRM. UC sales managers are complaining about data quality and would like to monitor and measure data quality.

Which 2 solutions should a data architect recommend to monitor and measure data quality?

Choose 2 answers.

Universal Containers (UC) has deployed Salesforce to manage Marketing. Sales, and Support efforts in a multi -system ERP environment After reaching the limits of native reports & dashboards. UC leadership is looking to understand what options can be used to provide more analytical insights. What two approaches should an architect recommend? Choose 2 answers

Universal Containers (UC) wants to capture information on how data entities are stored within the different applications and systems used within the company. For that purpose, the architecture team decided to create a data dictionary covering the main business domains within UC. Which two common techniques are used building a data dictionary to store information on how business entities are defined?

Universal Containers (UC) wants to ensure their data on 100,000 Accounts pertaining mostly to US-based companies is enriched and cleansed on an ongoing basis. UC is looking for a solution that allows easy monitoring of key data quality metrics. What should be the recommended solution to meet this requirement?

A large automobile company has implemented Salesforce for its sales associates. Leads flow from its website to Salesforce using a batch integration in Salesforce. The batch job converts the leads to Accounts in Salesforce. Customers visiting their retail stores are also created in Salesforce as Accounts.

The company has noticed a large number of duplicate Accounts in Salesforce. 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 option should a data architect choose to implement to avoid duplicates?

Universal Containers (UC) loads bulk leads and campaigns from third-party lead aggregators on a weekly and monthly basis. The expected lead record volume is 500K records per week, and the expected campaign records volume is 10K campaigns per week. After the upload, Lead records are shared with various sales agents via sharing rules and added as Campaign members via Apex triggers on Lead creation. UC agents work on leads for 6 months, but want to keep the records in the system for at least 1 year for reference. Compliance requires them to be stored for a minimum of 3 years. After that, data can be deleted. What statement is true with respect to a data archiving strategy for UC?

A company has 12 million records, and a nightly integration queries these records.

Which two areas should a Data Architect investigate during troubleshooting if queries are timing out? (Choose two.)

Universal Containers has 30 million case records. The Case object has 80 fields. Agents are reporting performance issues and time-outs while running case reports in the Salesforce org.

Which solution should a data architect recommend to improve reporting performance?

Northern Trail Outfitters (NTO) wants to implement backup and restore for Salesforce data, Currently, it has data backup processes that runs weekly, which back up all Salesforce data to an enterprise data warehouse (EDW). NTO wants to move to daily backups and provide restore capability to avoid any data loss in case of outage.

What should a data architect recommend for a daily backup and restore solution?

Universal Containers has successfully migrated 50 million records into five different objects multiple times in a full copy sandbox. The Integration Engineer wants to re-run the test again a month before it goes live into Production. What is the recommended approach to re-run the test?

UC is implementing sales cloud for patient management and would like to encrypt sensitive patient records being stored in files.

Which solution should a data architect recommend to solve this requirement?

As part of addressing general data protection regulation (GDPR) requirements, UC plans to implement a data classification policy for all its internal systems that stores customer information including salesforce.

What should a data architect recommend so that UC can easily classify consumer information maintained in salesforce under both standard and custom objects?

Universal Containers (UC) has an open sharing model for its Salesforce users to allow all its Salesforce internal users to edit all contacts, regardless of who owns the contact. However, UC management wants to allow only the owner of a contact record to delete that contact. If a user does not own the contact, then the user should not be allowed to delete the record. How should the architect approach the project so that the requirements are met?

Universal Containers is setting up an external Business Intelligence (BI) system and wants to extract 1,000,000 Contact records. What should be recommended to avoid timeouts during the export process?

Universal Containers (UC) is planning to move away from legacy CRM to Salesforce. As part of one-time data migration, UC will need to keep the original date when a contact was created in the legacy system. How should an Architect design the data migration solution to meet this requirement?

An architect has been asked to provide error messages when a future date is detected in a custom Birthdate _c field on the Contact object. The client wants the ability to translate the error messages. What are two approaches the architect should use to achieve this solution? Choose 2 answers

Universal Containers (UC) has implemented Salesforce, UC is running out of storage and needs to have an archiving solution, UC would like to maintain two years of data in Saleforce and archive older data out of Salesforce.

Which solution should a data architect recommend as an archiving solution?

Cloud Kicks currently has a Public Read/Write sharing model for the company's Contacts. Cloud Kicks management team requests that only the owner of a contact record be allowed to delete that contact.

What should an Architect do to meet these requirements?

For a production cutover, a large number of Account records will be loaded into Salesforce from a legacy system. The legacy system does not have enough information to determine the Ownership for these Accounts upon initial load. Which two recommended options assign Account ownership to mitigate potential performance problems?

A large retail B2C customer wants to build a 360 view of its customer for its call center agents. The customer interaction is currently maintained in the following system:

1. Salesforce CRM

2. Custom billing solution

3. Customer Master Data management (MDM)

4. Contract Management system

5. Marketing solution

What should a data architect recommend that would help upgrade uniquely identify customer across multiple systems:

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?

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.)

Universal Containers (UC) is a business that works directly with individual consumers (B2C). They are moving from a current home-grown CRM system to Salesforce. UC has about one million consumer records. What should the architect recommend for optimal use of Salesforce functionality and also to avoid data loading issues?

Universal Containers (UC) has a very large and complex Salesforce org with hundreds of validation rules and triggers. The triggers are responsible for system updates and data manipulation as records are created or updates by users. A majority of the automation tool within UC’’ org were not designed to run during a data load. UC is importing 100,000 records into Salesforce across several objects over the weekend.

What should a data architect do to mitigate any unwanted results during the import?