Question 1

Which of the following considerations is most important when designing an enterprise data governance program for a multinational organization with diverse data privacy regulations across different countries?

Options :

A : Consistency in data access and usage policies

B : Compliance with the strictest data privacy regulation

C : Localization of data governance policies for each country

D : Harmonization of data governance policies across all countries

Answer: D

Question 2

Your organization is expanding rapidly and is about to incorporate two new departments. You need to design a scalable data model in Salesforce that not only accommodates the data needs of these new departments but also adheres to the existing security and sharing model. Which of the following is the best approach?

Options :

A : Create new profiles and roles for the new departments and use sharing rules to grant necessary access

B : Develop custom objects for each department without modifying the existing security and sharing settings

C : Clone the existing profiles and roles for the new departments and modify as necessary

D : Give all users access to all data, then restrict access based on individual needs

Answer: A

Question 3

You’re designing a data model for Salesforce’s Customer 360 platform. The data model should facilitate tracking of customer interactions across various departments, including sales, marketing, and support. What should be the key focus when designing fields and relationships?

Options :

A : Maximize the use of standard fields and relationships to reduce the need for custom development

B : Avoid creating many-to-many relationships to prevent complexity

C : rioritize the design of fields and relationships that provide a complete view of customer interactions

D : Limit the number of fields per object to optimize performance

Answer: C

Question 4

When capturing and managing business and technical metadata with a focus on taxonomy, which approach is commonly used?

Options :

A : Utilizing hierarchical data models to organize metadata elements

B : Implementing data encryption techniques to secure metadata taxonomy

C : Creating custom fields and objects to manually categorize metadata

D : Leveraging artificial intelligence algorithms to automatically classify metadata

Answer: A

Question 5

NTO need to extract 50 million records from a custom object everyday from its Salesforce org. NTO isfacing query timeout issues while extracting these records.What should a data architect recommend in order to get around the time out issue?

Options :

A : Use a custom auto number and formula field and use that to chunk records while extracting data.

B : The REST API to extract data as it automatically chunks records by 200.

C : Use ETL tool for extraction of records

D : Ask SF support to increase the query timeout value.

Answer: C

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