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Salesforce Certified Platform Data Architect Sample Questions (Q256-Q261):

NEW QUESTION # 256
Northern Trail Outfitters (NTO) wants to start a loyalty program to reward repeat customers. The program will track every item a customer has bought and grants them points for discounts. The following conditions will exist upon implementation:
- Data will be used to drive marketing and product development
initiatives.
- NTO estimates that the program will generate 100 million rows of date monthly.
- NTO will use Salesforce's Einstein Analytics and Discovery to
leverage their data and make business and marketing decisions.
What should the Data Architect do to store, collect, and use the reward program data?

A. Create a big object in Einstein Analytics to capture the Loyalty Program data.
B. Create a custom object in Salesforce that will be used to capture the Reward Program data.
C. Create a custom big object in Salesforce which will be used to capture the Reward Program data for consumption by Einstein.
D. Have Einstein connect to the point of sales system to capture the Reward Program data.

Answer: C

Explanation:
According to the official Salesforce guide, big objects are designed to store and manage massive data volumes within Salesforce without affecting performance. They can be queried by using Async SOQL or standard SOQL, and they can be accessed by using Apex, Visualforce, Lightning components, or APIs. Big objects are ideal for storing data that is used for analytics or reporting purposes, such as the reward program data. Option A is the correct answer because it allows NTO to create a custom big object in Salesforce that can store the reward program data and make it available for consumption by Einstein Analytics and Discovery.

NEW QUESTION # 257
UC has multiple SF orgs that are distributed across regional branches. Each branch stores local customer data inside its org's Account and Contact objects. This creates a scenario where UC is unable to view customers across all orgs. UC has an initiative to create a 360-degree view of the customer, as UC would like to see Account and Contact data from all orgs in one place. What should a data architect suggest to achieve this 360-degree view of the customer?

A. Consolidate the data from each org into a centralized datastore
B. Use Salesforce Connect's cross-org adapter.
C. Build a bidirectional integration between all orgs.
D. Use an ETL tool to migrate gap Accounts and Contacts into each org.

Answer: A

Explanation:
Consolidating the data from each org into a centralized datastore is the best suggestion to achieve a 360-degree view of the customer. This way, UC can have a single source of truth for all customer data and avoid data silos and inconsistencies. The other options are not feasible because they either require complex integration, additional cost, or data duplication.

NEW QUESTION # 258
DreamHouse Realty has a Salesforce deployment that manages Sales, Support, and Marketing efforts in a multi-system ERP environment. The company recently reached the limits of native reports and dashboards and needs options for providing more analytical insights. What are two approaches an Architect should recommend? (Choose two.)

A. Setup Audit Trails
B. AppExchange Apps
C. Einstein Analytics
D. Weekly Snapshots

Answer: B,C

Explanation:
Einstein Analytics can provide more analytical insights than native reports and dashboards by allowing users to explore data from multiple sources, create interactive visualizations, and apply AI-powered features. AppExchange Apps can also provide more analytical insights by offering pre-built solutions or integrations with external tools that can enhance the reporting and analytics capabilities of Salesforce6.

NEW QUESTION # 259
Which feature allows access to external data without storing it in Salesforce?

A. Custom Objects
B. Platform Cache
C. External Objects
D. Big Objects

Answer: C

Explanation:
External objects use OData to access external data in real time.

NEW QUESTION # 260
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. Use cookies to track when visitors submit multiple forms.
B. Prefer picklist form fields over free text fields, where possible.
C. Do client-side validation of phone number and email field formats.
D. Ensure the website visitor is browsing using an HTTPS connection.

Answer: B,C

Explanation:
Doing client-side validation of phone number and email field formats and preferring picklist form fields over free text fields, where possible, are two techniques that will help maintain a high level of data quality when designing forms that create Lead records in Salesforce using the REST API.
Client-side validation can ensure that the input data is in the correct format and prevent errors or invalid values from being submitted. Picklist form fields can provide a predefined set of values for the users to choose from and avoid typos or inconsistencies in the data.

NEW QUESTION # 261
......

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