100% Pass Quiz Data-Architect - Latest Exam Salesforce Certified Data Architect Experience

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Salesforce Data-Architect (Salesforce Certified Data Architect) Exam is a highly sought-after certification for professionals working in the Salesforce ecosystem. Data-Architect exam is designed to test a candidate's knowledge and expertise in designing and implementing complex data solutions on the Salesforce platform. Salesforce Certified Data Architect certification emphasizes the importance of data modelling, data governance, data integration, and data migration in Salesforce.

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Salesforce Data-Architect Questions and Start Preparation Today [2026]

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Salesforce Data-Architect (Salesforce Certified Data Architect) Certification Exam is designed for professionals who are seeking to demonstrate their expertise in designing and implementing complex data solutions in Salesforce. Salesforce Certified Data Architect certification is perfect for individuals who have a strong background in data architecture and are looking to take their skills to the next level with Salesforce.

Salesforce Certified Data Architect Sample Questions (Q234-Q239):

NEW QUESTION # 234
A health care provider wishes to use salesforce to track patient care. The following actions are in Salesforce
1. Payment Providers: Orgas who pay for the care 2 patients.
2. Doctors: They provide care plan for patients and need to support multiple patients, they are provided access to patient information.
3. Patients: They are individuals who need care.
A data architect needs to map the actor to Sf objects. What should be the optimal selection by the data architect?

A. Patients as Accounts, Payment providers as Accounts, & Doctors as Person Accounts
B. Patients as Person Accounts, Payment providers as Accounts, & Doctors as Person Account
C. Patients as Person Accounts, Payment providers as Accounts, & Doctors as Contacts
D. Patients as Contacts, Payment providers as Accounts, & Doctors as Accounts

Answer: B

NEW QUESTION # 235
UC is building a salesforce application to track contacts and their respective conferences that they have attended with the following requirements:
1. Contacts will be stored in the standard contact object.
2. Conferences will be stored in a custom conference_ c object.
3. Each contact may attend multiple conferences and each conference may be related to multiple contacts.
How should a data architect model the relationship between the contact and conference objects?

A. Implement a Contact Conference junction object with master detail relationship to both contact and conference_c
B. Create a master detail relationship field on the Conference object.
C. Create a master detail relationship field on the Contact object.
D. Create a lookup relationship field on contact object.

Answer: A

NEW QUESTION # 236
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 field on the standard Product to reference the parent record in the hierarchy.
B. Create a custom master-detail field on the standard Product to reference the child record in the hierarchy.
C. Create a custom lookup filed 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.

Answer: A

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.

NEW QUESTION # 237
Universal Containers is creating a new B2C service offering for consumers to ship goods across continents. This is in addition to their well-established B2B offering. Their current Salesforce org uses the standard Account object to track B2B customers. They are expecting to have over 50,000,000 consumers over the next five years across their 50 business regions. B2C customers will be individuals. Household data is not required to be stored. What is the recommended data model for consumer account data to be stored in Salesforce?

A. Use the Account object with a newly created Record Type for B2C customers.
B. Use 50 umbrella Accounts for each region, with customers as associated Contacts.
C. Use the Account object with Person Accounts and a new B2C page layout.
D. Create a new picklist value for B2C customers on the Account Type field.

Answer: C

NEW QUESTION # 238
Universal Containers (CU) is in the process of implementing an enterprise data warehouse (EDW). UC needs to extract 100 million records from Salesforce for migration to the EDW.
What data extraction strategy should a data architect use for maximum performance?

A. Utilize PK Chunking with the Bulk API.
B. Use the Bulk API in parallel mode.
C. Call the REST API in successive queries.
D. Install a third-party AppExchange tool.

Answer: A

Explanation:
According to the Salesforce documentation2, extracting large amounts of data from Salesforce can be challenging and time-consuming, as it can encounter performance issues, API limits, timeouts, etc. To extract 100 million records from Salesforce for migration to an enterprise data warehouse (EDW), a data extraction strategy that can provide maximum performance is:
Utilize PK Chunking with the Bulk API (option C). This means using a feature that allows splitting a large query into smaller batches based on the record IDs (primary keys) of the queried object. This can improve performance and avoid timeouts by processing each batch asynchronously and in parallel using the Bulk API3.
Installing a third-party AppExchange tool (option A) is not a good solution, as it can incur additional costs and dependencies. It may also not be able to handle such a large volume of data efficiently. Calling the REST API in successive queries (option B) is also not a good solution, as it can encounter API limits and performance issues when querying such a large volume of data. Using the Bulk API in parallel mode (option D) is also not a good solution, as it can still cause timeouts and errors when querying such a large volume of data without chunking.

NEW QUESTION # 239
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2026 Latest Actual4test Data-Architect PDF Dumps and Data-Architect Exam Engine Free Share: https://drive.google.com/open?id=1wDAv4Av1zqns9nAIulBP8ixyt_X5ZVj_