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Salesforce Certified Data Architect is one of the most sought-after credentials in the Salesforce ecosystem. It is a certification that recognizes individuals who have demonstrated their proficiency in designing, building, and maintaining complex data architectures on the Salesforce platform. Salesforce Certified Data Architect certification validates the knowledge and skills required to lead large-scale data integration projects and create scalable, secure, and efficient data structures.

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Salesforce Certified Data Architect Sample Questions (Q217-Q222):

NEW QUESTION # 217
Universal Containers (CU) is in the process of implementing an enterprise data warehouse (EDW). UC needs to extract 100 million records from Salesforce for migration to the EDW.
What data extraction strategy should a data architect use for maximum performance?

A. Utilize PK Chunking with the Bulk API.
B. Use the Bulk API in parallel mode.
C. Install a third-party AppExchange tool.
D. Call the REST API in successive queries.

Answer: A

Explanation:
According to the Salesforce documentation2, extracting large amounts of data from Salesforce can be challenging and time-consuming, as it can encounter performance issues, API limits, timeouts, etc. To extract
100 million records from Salesforce for migration to an enterprise data warehouse (EDW), a data extraction strategy that can provide maximum performance is:
Utilize PK Chunking with the Bulk API (option C). This means using a feature that allows splitting a large query into smaller batches based on the record IDs (primary keys) of the queried object. This can improve performance and avoid timeouts by processing each batch asynchronously and in parallel using the Bulk API3.
Installing a third-party AppExchange tool (option A) is not a good solution, as it can incur additional costs and dependencies. It may also not be able to handle such a large volume of data efficiently. Calling the REST API in successive queries (option B) is also not a good solution, as it can encounter API limits and performance issues when querying such a large volume of data. Using the Bulk API in parallel mode (option D) is also not a good solution, as it can still cause timeouts and errors when querying such a large volume of data without chunking.

NEW QUESTION # 218
The head of sales at Get Cloudy Consulting wants to understand key relevant performance figures and help managers take corrective actions where appropriate.
What is one reporting option Get Cloudy Consulting should consider?

A. Opportunity analytic snapshot
B. Lead conversion rate report
C. Sales KPI Dashboard
D. Case SLA performance report

Answer: C

NEW QUESTION # 219
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?

A. Service Cloud
B. Sales Cloud
C. Light Platform Start
D. Lighting platform plus

Answer: D

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. Option A is incorrect because Service Cloud license type is more suitable for customer service users who need to access cases, knowledge, and other service objects. Option B is incorrect because Sales Cloud license type is more suitable for sales users who need to access accounts, contacts, opportunities, and other sales objects. Option C is incorrect because Light Platform Start license type does not allow users to run reports and dashboards on custom objects.

NEW QUESTION # 220
Universal Containers has multiple systems all containing and maintaining customer dat a. Although point-to-point integrations are in place, customers are complaining about consistency in the data.
What solution should the data architect recommend?

A. Improve existing point-to-point integrations
B. Data cleanse each system
C. An MDM solution as the customer master, with centralized integrations to ensure consistency across all systems.
D. Perform a onetime synchronization to level set the built up inconsistencies

Answer: C

Explanation:
Master data management (MDM) is a solution that helps organizations manage their master data across multiple systems and ensure consistency and quality. An MDM solution can act as the customer master, with centralized integrations to other systems, to avoid data duplication and inconsistency.

NEW QUESTION # 221
UC has to built a B2C ecommerce site on Heroku that shares customer and order data with a Heroku Postgres database. UC is currently utilizing Postgres as the single source of truth for both customers and orders. UC has asked a data architect to replicate the data into salesforce so that salesforce can now act as the system of record.
What are the 3 considerations that data architect should weigh before implementing this requirement? Choose 23 answers:

A. Ensure the data is CRM center and able to populate standard of custom objects.
B. Determine if the data is driver of key process implemented within salesforce.
C. Ensure there is a tight relationship between order data and an enterprise resource plaining (ERP) application.
D. A selection of the tool required to replicate the data.
E. Consider whether the data is required for sales reports, dashboards and KPI's.

Answer: B,C,D

Explanation:
a. - Heroku Connect is required but this is confusing
Explanation:
Before replicating the data from Heroku Postgres to Salesforce, the data architect should consider the following factors:
Whether the data is a driver of key processes implemented within Salesforce. For example, if the data is used for workflows, triggers, or validation rules, it should be replicated to Salesforce.
Whether there is a tight relationship between order data and an enterprise resource planning (ERP) application. For example, if the order data needs to be synchronized with the ERP system, it should be replicated to Salesforce.
The selection of the tool required to replicate the data. For example, Heroku Connect can be used to bi-directionally sync data between Heroku Postgres and Salesforce

NEW QUESTION # 222
......

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