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Free PDF 2026 Salesforce Data-Architect Useful Test Answers
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Salesforce Certified Data Architect Sample Questions (Q220-Q225):NEW QUESTION # 220
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. Write a custom batch job to extract data changes nightly, and store in an external protected system.
- B. Utilize an ETL tool to migrate data to an on-premise archive solution.
- C. Leverage salesforce weekly exports, and store data in Flat files on a protected system.
- D. Leverage a 3rd party tool that extract salesforce data/metadata and stores the information in an external protected system.
Answer: D
Explanation:
The best solution to comply with the DR policy is to leverage a 3rd party tool that extract Salesforce data/metadata and stores the information in an external protected system. This solution can help create a backup of Salesforce data and metadata in case of a disaster or data loss event. It can also help restore data from the backup system to Salesforce if needed. There are various 3rd party tools available in the AppExchange or online that offer data backup and recovery services for Salesforce67. Leverage Salesforce weekly exports and store data in flat files on a protected system is not a good solution because it does not include metadata backup and it does not allow granular or automated data recovery. Utilize an ETL tool to migrate data to an on-premise archive solution is not a good solution because it does not include metadata backup and it may require complex data transformations and synchronizations. Write a custom batch job to extract data changes nightly and store in an external protected system is not a good solution because it does not include metadata backup and it may have performance or reliability issues.
NEW QUESTION # 221
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?
- A. Build a custom search functionality that allows sales associates to search for customer in real time upon visiting their retail stores.
- B. Implement an MDM solution to validate the customer information before creating Salesforce.
- C. leverage duplicate rules in Salesforce to validate duplicates during the account creation process.
- D. Develop an Apex class that searches for duplicates and removes them nightly.
Answer: C
Explanation:
Leveraging duplicate rules in Salesforce to validate duplicates during the account creation process (option A) is the best option to implement to avoid duplicates, as it allows the sales associates to identify and merge duplicate accounts before they are saved. Developing an Apex class that searches for duplicates and removes them nightly (option B) is not a good option, as it may cause data loss or conflicts, and it does not prevent duplicates from being created in the first place. Implementing an MDM solution to validate the customer information before creating Salesforce (option C) is also not a good option, as it may introduce additional complexity and cost, and it does not address the issue of customers interacting with both the website and the store. Building a custom search functionality that allows sales associates to search for customer in real time upon visiting their retail stores (option D) is also not a good option, as it may not be reliable or user-friendly, and it does not leverage the existing Global Search feature.
NEW QUESTION # 222
DreamHouse Realty has a data model as shown in the image. The Project object has a private sharing model, and it has Roll-Up summary fields to calculate the number of resources assigned to the project, total hours for the project, and the number of work items associated to the project.
There will be a large amount of time entry records to be loaded regularly from an external system into Salesforce.

What should the Architect consider in this situation?
- A. Calculate summary values instead of Roll-Up by using workflow.
- B. Calculate summary values instead of Roll-Up by using triggers.
- C. Load all data after deferring sharing calculations.
- D. Load all data using external IDs to link to parent records.
Answer: C
Explanation:
According to the exam guide, one of the objectives is to "describe the use cases and considerations for deferring sharing calculations"1. This implies that option A is the correct way to load large amounts of data into Salesforce without affecting performance and data integrity. Deferring sharing calculations allows the data to be loaded first and then the sharing rules to be applied later2. Option B is not correct because workflows are not recommended for calculating summary values, as they can cause performance issues and data skew3. Option C is not correct because triggers are also not recommended for calculating summary values, as they can cause governor limit errors and data inconsistency. Option D is not correct because external IDs are used to link records from different systems, not to improve data loading performance.
NEW QUESTION # 223
Universal Containers (UC) requires 2 years of customer related cases to be available on SF for operational reporting. Any cases older than 2 years and upto 7 years need to be available on demand to the Service agents. UC creates 5 million cases per yr.
Which 2 data archiving strategies should a data architect recommend? Choose 2 options:
- A. Sync cases older than 2 years to an external database, and provide access to Service agents to the database
- B. Use Big objects for cases older than 2 years, and use nightly batch to move them.
- C. Use custom objects for cases older than 2 years and use nightly batch to move them.
- D. Use Heroku and external objects to display cases older than 2 years and bulk API to hard delete from Salesforce.
Answer: B,D
Explanation:
The best data archiving strategies for UC are to use Big objects and Heroku with external objects. Big objects allow storing large amounts of data on the Salesforce platform without affecting performance or storage limits. They also support point-and-click tools, triggers, and Apex code. Heroku is a cloud platform that can host external databases and integrate with Salesforce using external objects. External objects enable on-demand access to external data sources via standard Salesforce APIs and user interfaces. Using bulk API to hard delete cases from Salesforce will free up storage space and improve performance.
NEW QUESTION # 224
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. Create a master detail relationship field on the Conference object.
- B. Create a master detail relationship field on the Contact object.
- C. Implement a Contact Conference junction object with master detail relationship to both contact and conference_c
- D. Create a lookup relationship field on contact object.
Answer: C
Explanation:
Implementing a Contact Conference junction object with master detail relationship to both contact and conference_c is the correct way to model the relationship between the contact and conference objects, as it allows a many-to-many relationship between them. This means that each contact can attend multiple conferences, and each conference can be related to multiple contacts. Creating a master detail relationship field on either the contact or the conference object would create a one-to-many relationship, which does not meet the requirements. Creating a lookup relationship field on contact object would also create a one-to-many relationship, and would not enforce referential integrity.
NEW QUESTION # 225
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