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Salesforce Certified Platform Data Architect Sample Questions (Q136-Q141):

NEW QUESTION # 136
Ursa Major Solar has defined a new Data Quality Plan for their Salesforce data. Which two approaches should an Architect recommend to enforce the plan throughout the organization?
(Choose two.)

Answer: A,D

Explanation:
Enforcing critical business processes by using Workflow, Validation Rules, and Apex code can help ensure data quality and consistency by applying rules and logic to the data entry and update.
Scheduling a weekly dashboard displaying records that are missing information to be sent to managers for review can help identify and fix data quality issues by providing visibility and accountability.


NEW QUESTION # 137
Universal Container require all customers to provide either a phone number of an email address when registering for an account. What should the data architect use to ensure this requirement is met?

Answer: B

Explanation:
Using a validation rule is the best way to ensure that all customers provide either a phone number or an email address when registering for an account, as it allows defining a formula that evaluates whether a record meets certain criteria. Using required fields may not work if both phone number and email address are required. Using an Apex class or a Process Builder may be more complex or cumbersome than using a validation rule.


NEW QUESTION # 138
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.)

Answer: B,D

Explanation:
The Data Architect should consider the limitations on Org data storage and the Bulk API limitations on picklist fields when denormalizing the data model into a single Transaction object with a Branch Office picklist. The Org data storage limit is the total amount of data that can be stored in a Salesforce Org, and it depends on the edition and license type of the Org. The Bulk API limit on picklist fields is the maximum number of values that can be imported or exported using the Bulk API, and it is 1,000 values per picklist field. These limitations could affect the performance and scalability of the data model, and the Data Architect should plan accordingly.


NEW QUESTION # 139
NTO has a loyalty program to reward repeat customers. The following conditions exists:
1. Reward levels are earned based on the amount spent during the previous 12 months.
2. The program will track every item a customer has bought and grant them points for discount.
3. The program generates 100 million records each month.
NTO customer support would like to see a summary of a customer's recent transaction and reward level(s) they have attained.
Which solution should the data architect use to provide the information within the salesforce for the customer support agents?

Answer: A

Explanation:
According to the Get Started with Big Objects unit on Trailhead, one of the use cases for custom big objects is to store and manage loyalty program data for customers. The unit states that "From loyalty programs to transactions, order, and billing information, use a custom big object to keep track of every detail." Therefore, a custom big object can be used to capture the reward program data and display it on the contact record. Additionally, according to the Big Objects Implementation Guide, big objects can handle massive amounts of data (up to billions of records) and can be updated nightly from external systems using Bulk API or batch Apex. Therefore, a custom big object can meet the requirements of NTO's loyalty program scenario.


NEW QUESTION # 140
Northern Trail Outfitters is concerned because some of its data is sensitive and needs to be identified for access. What should be used to provide ways to filter and identify the sensitive data?

Answer: C

Explanation:
According to the official Salesforce guide, data classification metadata is a feature that allows administrators to classify data fields based on their sensitivity level, such as confidential, restricted, or general. Data classification metadata can be used to filter and identify sensitive data fields and apply appropriate security measures, such as encryption, masking, or auditing. Option D is the correct answer because it suggests using data classification metadata to provide ways to filter and identify sensitive data.


NEW QUESTION # 141
......

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