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copyright Certified Platform Data Architect Sample Questions (Q11-Q16):

NEW QUESTION # 11
Universal Containers (UC) has implemented copyright, UC is running out of storage and needs to have an archiving solution, UC would like to maintain two years of data in Saleforce and archive older data out of copyright. Which solution should a data architect recommend as an archiving solution?

Answer: A

Explanation:
The data architect should recommend building a batch job to move two-year-old records off platform, and delete records from copyright as an archiving solution. A batch job is a process that runs in the background and performs operations on large volumes of data in copyright. By building a batch job that moves two-year-old records off platform to an external storage system, such as Amazon S3 or Google Cloud Storage, and deletes them from copyright, the data architect can reduce the storage consumption and improve the performance of copyright org.


NEW QUESTION # 12
Universal Containers (UC) has implemented Sales Cloud for its entire sales organization, UC has built a custom object called projects_c that stores customers project detail and employee bitable hours.
The following requirements are needed:
- A subnet of individuals from the finance team will need to access to
the projects object for reporting and adjusting employee utilization.
- The finance users will not access to any sales objects, but they will need to interact with the custom object.
Which license type a data architect recommend for the finance team that best meets the requirements?

Answer: A

Explanation:
The data architect should recommend Lighting platform plus license type for the finance team that best meets the requirements. This license type allows users to access custom objects and run reports and dashboards on them, without accessing any sales objects.


NEW QUESTION # 13
Universal Containers (UC) is migrating from a legacy system to copyright CRM, UC is concerned about the quality of data being entered by users and through external integrations.
Which two solutions should a data architect recommend to mitigate data quality issues?

Answer: B,D

Explanation:
According to the copyright documentation, data quality is the measure of how well the data in copyright meets the expectations and requirements of the users and stakeholders. Data quality can be affected by various factors, such as data entry errors, data duplication, data inconsistency, data incompleteness, data timeliness, etc. To mitigate data quality issues, some of the recommended solutions are:
Leverage picklist and lookup fields where possible (option A). This means using fields that restrict the values or references that can be entered by the users or integrations. This can help reduce data entry errors, enforce data consistency, and improve data accuracy.
Leverage validation rules and workflows (option C). This means using features that allow defining ules and criteria to validate the data that is entered or updated by the users or integrations. This can help prevent invalid or incorrect data from being saved, and trigger actions or alerts to correct or improve the data.


NEW QUESTION # 14
A company needs a many-to-many relationship between Account and Custom Object. What should they use?

Answer: B

Explanation:
A junction object enables many-to-many relationships by using two master-detail relationships.


NEW QUESTION # 15
Universal Containers (UC) is implementing copyright and will be using copyright to track customer complaints, provide white papers on products, and provide subscription-based support.
Which license type will UC users need to fulfill UC's requirements?

Answer: B

Explanation:
Service Cloud License (option C) is the license type that UC users need to fulfill UC's requirements, as it allows them to track customer complaints, provide white papers on products, and provide subscription-based support.


NEW QUESTION # 16
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