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Salesforce Data-Architect Exam is an advanced certification program designed to validate the skills and knowledge of professionals in the Salesforce platform. It is aimed at experienced professionals who have already obtained other Salesforce certifications and want to advance their career in the Salesforce ecosystem. With the growing importance of data management in the modern business environment, obtaining the Salesforce Data-Architect certification is becoming increasingly important for professionals seeking to demonstrate their expertise in this area.

Salesforce Certified Data Architect certification is a valuable asset for professionals looking to advance their careers in the Salesforce ecosystem. It is recognized by employers as a mark of excellence and is often a requirement for senior-level positions in the industry. Salesforce Certified Data Architect certification is also a prerequisite for the Salesforce Certified Technical Architect certification, which is the highest level of certification in the Salesforce ecosystem.

Salesforce Certified Data Architect is an advanced-level certification that validates a professional's knowledge and skills in designing and implementing data architecture solutions in the Salesforce platform. Salesforce Certified Data Architect certification is intended for individuals who have extensive experience in data modeling, database design, data integration, and data governance. It also requires a deep understanding of the Salesforce data architecture, including the platform's data model, data storage options, data security, and data management features.

Salesforce Certified Data Architect Sample Questions (Q32-Q37):

NEW QUESTION # 32
Universal Containers (UC) needs to run monthly and yearly reports on opportunities and orders for sales reporting. There are 5 million opportunities and 10 million orders. Sales users are complaining that the report will regularly timeout.
What is the fastest and most effective way for a data architect to solve the time-out issue?

Answer: C

Explanation:
Creating an aggregate custom object that summarizes the monthly and yearly values into the required format for the required reports (option D) is the fastest and most effective way for a data architect to solve the time-out issue, as it reduces the amount of data that needs to be queried and processed by the reports. Creating custom fields on opportunity and copying data from order into those custom fields (option A) is not a good solution, as it may create data redundancy and inconsistency, and it does not address the large volume of data. Extracting opportunity and order data from Salesforce and using a third-party reporting tool (option B) is also not a good solution, as it may introduce additional complexity and cost, and it does not leverage the native reporting features of Salesforce. Creating a skinny table in Salesforce and copying order and opportunity fields into it (option C) is also not a good solution, as it may not support all the reporting requirements, and it does not reduce the number of records.


NEW QUESTION # 33
A large telecommunication provider that provides internet services to both residence and business has the following attributes:
A customer who purchases its services for their home will be created as an Account in Salesforce.
Individuals within the same house address will be created as Contact in Salesforce.
Businesses are created as Accounts in Salesforce.
Some of the customers have both services at their home and business.
What should a data architect recommend for a single view of these customers without creating multiple customer records?

Answer: C

Explanation:
Creating customers as Contacts and relating them to Business and Residential Accounts using the Account Contact Relationships (option A) is the best option to recommend for a single view of these customers without creating multiple customer records, as it allows the data architect to model complex relationships between customers and accounts using native Salesforce features and tools. Creating customers as Person Accounts and relating them to Business and Residential Accounts using the Account Contact relationship (option B) is not a good option, as it may create data redundancy and inconsistency, and it does not leverage the existing Contact object. Creating customers as individual objects and relating them with Accounts for Business and Residence accounts (option C) is also not a good option, as it may require more customization and maintenance effort, and it does not leverage the existing Account and Contact objects. Creating customers as Accounts for Residence Account and using Parent Account to relate Business Account (option D) is also not a good option, as it may create confusion and complexity with the account hierarchy, and it does not leverage the existing Contact object.


NEW QUESTION # 34
Northern Trail Outfitters would like to report on the type of customers. A custom field for customer type was created in Account object. Users need to be limited to the following defined choices when entering information in this field:
1. High Value
2. Medium Value
3. Low Value
Which strategy should a data architect recommend to configure customer type?

Answer: C


NEW QUESTION # 35
UC has large amount of orders coming in from its online portal. Historically all order are assigned to a generic user.
Which 2 measures should data architect recommend to avoid any performance issues while working with large number of order records? Choose 2 answers:

Answer: A,B

Explanation:
Clearing the role field in the generic user record and creating a role at the top of the role hierarchy and assigning it to the generic user are two measures that can help avoid performance issues while working with large number of order records. These measures can prevent data skew and lock contention that may occur when a single user owns or shares a large number of records


NEW QUESTION # 36
A large Automobile company has implemented SF for its Sales Associates. Leads flow from its website to SF using a batch integration in SF. The Batch job connects the leads to Accounts in SF. Customer visiting their retail stores are also created in SF as Accounts.
The company has noticed a large number of duplicate accounts in SF. 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 scalable option should a data Architect choose to implement to avoid duplicates?

Answer: A


NEW QUESTION # 37
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