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Salesforce Certified Data Architect exam covers a wide range of topics, including data modeling, data migration, data integration, data analysis, and data governance. It is designed to test the candidate's ability to design and implement complex data architectures that meet the needs of a business. Data-Architect Exam consists of multiple-choice questions and scenario-based questions that require the candidate to analyze a given situation and provide the best possible solution.

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Salesforce Certified Data Architect exam is a comprehensive exam designed specifically for professionals who want to demonstrate their expertise in designing, implementing, and maintaining complex data architectures in Salesforce. Salesforce Certified Data Architect certification is ideal for individuals who are responsible for managing large volumes of data and ensuring that it is organized, secure, and accessible to all relevant stakeholders.

Salesforce Certified Data Architect Sample Questions (Q19-Q24):

NEW QUESTION # 19
NTO has outgrown its current salesforce org and will be migrating to new org shortly. As part of this process NTO will be migrating all of its metadata and dat a. NTO's data model in the source org has a complex relationship hierarchy with several master detail and lookup relationships across objects, which should be maintained in target org.
What 3 things should a data architect do to maintain the relationship hierarchy during migration?
Choose 3 answers:

A. Replace source record ID's with new record ID's from the target org in the import file.
B. Keep the relationship fields populated with the source record ID's in the import file.
C. Redefine the master detail relationship fields to lookup relationship fields in the target org.
D. Create a external id field for each object in the target org and map source record ID's to this field.
E. Use data loader to export the data from source org and then import or Upsert into the target org in sequential order.

Answer: A,D,E

NEW QUESTION # 20
UC has millions of Cases and are running out of storage. Some user groups need to have access to historical cases for up to 7 years.
Which 2 solutions should a data architect recommend in order to minimize performance and storage issues?
Choose 2 answers:

A. Create a custom object to store case history and run reports on it.
B. Export data out of salesforce and store in Flat files on external system.
C. Leverage on premise data archival and build integration to view archived data.
D. Leverage big object to archive case data and lightning components to show archived data.

Answer: C,D

Explanation:
The correct answer is C and D. To minimize performance and storage issues, a data architect should recommend leveraging on premise data archival and building integration to view archived data, and leveraging big object to archive case data and lightning components to show archived data. These solutions will allow some user groups to access historical cases for up to 7 years without consuming too much storage space or affecting the performance of queries and reports. Option A is incorrect because exporting data out of salesforce and storing it in flat files on external system will make it difficult to access and query the data. Option B is incorrect because creating a custom object to store case history and run reports on it will still consume a lot of storage space and impact the performance of queries and reports.

NEW QUESTION # 21
NTO has implemented salesforce for its sales users. The opportunity management in salesforce is implemented as follows:
1. Sales users enter their opportunities in salesforce for forecasting and reporting purposes.
2. NTO has a product pricing system (PPS) that is used to update opportunity amount field on opportunities on a daily basis.
3. PPS is the trusted source within the NTO for opportunity amount.
4. NTO uses opportunity forecast for its sales planning and management.
Sales users have noticed that their updates to the opportunity amount field are overwritten when PPS updates their opportunities.
How should a data architect address this overriding issue?

A. Create a custom field for opportunity amount that PPS updates separating the field that sales user updates.
B. Create a custom field for opportunity amount that sales users update separating the fields that PPS updates.
C. Change PPS integration to update only opportunity amount fields when values is NULL.
D. Change opportunity amount field access to read only for sales users using field level security.

Answer: D

Explanation:
Changing the opportunity amount field access to read only for sales users using field level security is the best way to address the overriding issue. This way, the sales users can still view the opportunity amount field but cannot edit it, and PPS can update it as the trusted source

NEW QUESTION # 22
Universal Containers (UC) is concerned that data is being corrupted daily either through negligence or maliciousness. They want to implement a backup strategy to help recover any corrupted data or data mistakenly changed or even deleted. What should the data architect consider when designing a field -level audit and recovery plan?

A. Implement an AppExchange package.
B. Schedule a weekly export file.
C. Reduce data storage by purging old data.
D. Review projected data storage needs.

Answer: D

Explanation:
Option C is the best answer because reviewing projected data storage needs is an important step in designing a field-level audit and recovery plan1. You need to estimate how much data storage you will need in the future and plan accordingly. Option A is not correct because reducing data storage by purging old data may not be sufficient or desirable for backup purposes. Option B is not correct because implementing an AppExchange package may not be customized or compatible with your org's requirements. Option D is not correct because scheduling a weekly export file may not be frequent or granular enough for field-level audit and recovery.

NEW QUESTION # 23
Cloud Kicks is launching a Partner Community, which will allow users to register shipment requests that are then processed by Cloud Kicks employees. Shipment requests contain header information, and then a list of no more than 5 items being shipped.
First, Cloud Kicks will introduce its community to 6,000 customers in North America, and then to 24,000 customers worldwide within the next two years. Cloud Kicks expects 12 shipment requests per week per customer, on average, and wants customers to be able to view up to three years of shipment requests and use Salesforce reports.
What is the recommended solution for the Cloud Kicks Data Architect to address the requirements?

A. Create an external custom object to track shipment requests and a child external object to track shipment items. External objects are stored off-platform in Heroku's Postgres database.
B. Create an external custom object to track shipment requests with five lookup custom fields for each item being shipped. External objects are stored off-platform in Heroku's Postgres database.
C. Create a custom object to track shipment requests with five lookup custom fields for each item being shipped Implement an archiving process that moves data off-platform after three years.
D. Create a custom object to track shipment requests and a child custom object to track shipment items. Implement an archiving process that moves data off-platform after three years.

Answer: D

Explanation:
The recommended solution for the Cloud Kicks Data Architect to address the requirements is to create a custom object to track shipment requests and a child custom object to track shipment items. Implement an archiving process that moves data off-platform after three years. This solution would allow Cloud Kicks to store and manage their shipment data on Salesforce, and use Salesforce reports to analyze it. However, since Cloud Kicks expects a large volume of data over time, they should implement an archiving process that moves data off-platform after three years to avoid hitting the Org data storage limit and maintain optimal performance3. External objects are not a good option for this scenario, because they are stored off-platform in an external system, such as Heroku's Postgres database, and they have limited functionality and performance compared to custom objects

NEW QUESTION # 24
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