Salesforce Data-Architect Question Answers

Question # 71

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? 

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. 

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Question # 72

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 wharehouse. 

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Question # 73

US has released a new disaster recovery (DR)policy that states that cloud solutions need a business continuity plan in place separate from the cloud providers built in data recovery solution. Which solution should a data architect use to comply with the DR policy? 

A. Leverage a 3rd party tool that extract salesforce data/metadata and stores the information in an external protected system. 
B. Leverage salesforce weekly exports, and store data in Flat files on a protected system. 
C. Utilize an ETL tool to migrate data to an on-premise archive solution. 
D. Write a custom batch job to extract data changes nightly, and store in an external protected system. 

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Question # 74

Universal Containers has a public website with several forms that create Lead records in Salesforce using the REST API. When designing these forms, which two techniques will help maintain a high level of data quality?

 A. Do client-side validation of phone number and email field formats. 
B. Prefer picklist form fields over free text fields, where possible. 
C. Ensure the website visitor is browsing using an HTTPS connection. 
D. Use cookies to track when visitors submit multiple forms. 

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Question # 75

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? 

A. A middleware solution that extracts and distributes data across both the hub and spokes. 
B. Develop custom APIs to poll the hub org for change data and push into the spoke orgs. 
C. Develop custom APIs to poll the spoke for change data and push into the org. 
D. A backup and archive solution that extracts and restores data across orgs. 

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Question # 76

Northern Trail Outfitters has these simple requirements for a data export process: File format should be in CSV. Process should be scheduled and run once per week. The expert should be configurable through the Salesforce UI. Which tool should a data architect leverage to accomplish these requirements? 

A. Bulk API
 B. Data export wizard
 C. Third-party ETL tool 
D. Data loader 

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Question # 77

DreamHouse Realty has a legacy system that captures Branch Offices and Transactions. DreamHouse Realty has 15 Branch Offices. Transactions can relate to any Branch Office. DreamHouse Realty has created hundreds of thousands of Transactions per year. A Data Architect needs to denormalize this data model into a single Transaction object with a Branch Office picklist. What are two important considerations for the Data Architect in this scenario? (Choose two.) 

A. Standard list view in-line editing. 
B. Limitations on Org data storage.
 C. Bulk API limitations on picklist fields. 
D. Limitations on master-detail relationships. 

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Question # 78

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 

A. Use SOQL queries without WHERE conditions.
 B. Work with Salesforce Support to enable Skinny Tables. 
C. Reduce the number of triggers on Order _c object. 
D. Make the queries more selective using indexed fields. 

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Question # 79

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. 

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Question # 80

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. UC can store long-term lead records in custom storage objects to avoid counting against storage limits. 
B. UC can leverage the Salesforce Data Backup and Recovery feature for data archival needs. 
C. UC can leverage recycle bin capability, which guarantees record storage for 15 days after deletion.
 D. UC can leverage a “tier”-based approach to classify the record storage need. 

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