Pass Guaranteed 2025 Efficient Salesforce Real Data-Architect Exam Questions
Pass Guaranteed 2025 Efficient Salesforce Real Data-Architect Exam Questions
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CertkingdomPDF offers actual Salesforce Certified Data Architect Exam Questions that make your success possible on the first try. CertkingdomPDF has helped many customers gain high scores. Before purchasing, you can download and try any Data-Architect Exam Questions format. Salesforce Certified Data Architect Data-Architect with excellect pass rate.
Salesforce Data-Architect (Salesforce Certified Data Architect) Exam is a certification program designed to validate the skills and knowledge of professionals in the Salesforce platform. It is an advanced-level certification test that assesses the abilities of individuals to design and implement complex data architectures and management strategies using Salesforce products and solutions.
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Salesforce Certified Data Architect Sample Questions (Q190-Q195):
NEW QUESTION # 190
Universal Containers (UC) requires 2 years of customer related cases to be available on SF for operational reporting. Any cases older than 2 years and upto 7 years need to be available on demand to the Service agents. UC creates 5 million cases per yr.
Which 2 data archiving strategies should a data architect recommend? Choose 2 options:
- A. Use Heroku and external objects to display cases older than 2 years and bulk API to hard delete from Salesforce.
- B. Use Big objects for cases older than 2 years, and use nightly batch to move them.
- C. Sync cases older than 2 years to an external database, and provide access to Service agents to the database
- D. Use custom objects for cases older than 2 years and use nightly batch to move them.
Answer: A,B
Explanation:
The best data archiving strategies for UC are to use Big objects and Heroku with external objects. Big objects allow storing large amounts of data on the Salesforce platform without affecting performance or storage limits. They also support point-and-click tools, triggers, and Apex code. Heroku is a cloud platform that can host external databases and integrate with Salesforce using external objects. External objects enable on-demand access to external data sources via standard Salesforce APIs and user interfaces. Using bulk API to hard delete cases from Salesforce will free up storage space and improve performance.
NEW QUESTION # 191
Universal Containers (UC) has 1,000 accounts and 50,000 opportunities. UC has an enterprise security requirement to export all sales data outside of Salesforce on a weekly basis. The security requirement also calls for exporting key operational data that includes events such as file downloads, logins, logouts, etc. Which two recommended approaches would address the above requirement?
- A. Use Event Monitoring to extract event data to on-premise systems.
- B. Use Field Audit History to capture operational data and extract it to on-premise systems.
- C. Use a custom built extract job to extract operational data to on-premise systems.
- D. Use Weekly Export to extract transactional data to on-premise systems.
Answer: C
NEW QUESTION # 192
UC has migrated its Back-office data into an on-premise database with REST API access. UC recently implemented Sales cloud for its sales organization. But users are complaining about a lack of order data inside SF.
UC is concerned about SF storage limits but would still like Sales cloud to have access to the data.
Which design patterns should a data architect select to satisfy the requirement?
- A. Build a UI for the on-premise system and iframe it in Salesforce
- B. Use SF Connect to virtualize the data in SF and avoid storage limits.
- C. Develop a bidirectional integration between the on-premise system and Salesforce.
- D. Migrate and persist the data in SF to take advantage of native functionality.
Answer: B
Explanation:
The best design pattern to satisfy the requirement of accessing order data from an on-premise database with REST API access without consuming SF storage limits is to use SF Connect to virtualize the data in SF and avoid storage limits. SF Connect is an integration tool that allows users to access and integrate data from external sources using external objects. External objects are similar to custom objects, except that the data resides in another system and is accessed in real time via web service callouts. SF Connect supports various adapters to connect to different types of external data sources, such as OData, cross-org, or Apex custom adapter11. Migrate and persist the data in SF to take advantage of native functionality is not a good option because it would consume SF storage limits and require data synchronization between systems. Develop a bidirectional integration between the on-premise system and Salesforce is not a good option because it would be complex and costly to implement and maintain, and it would also consume SF storage limits. Build a UI for the on-premise system and iframe it in Salesforce is not a good option because it would not provide a seamless user experience and it would not allow users to search, report, or perform actions on the external data.
NEW QUESTION # 193
Northern Trail Outfitters (NTO) has an external product master system that syncs product and pricing information with Salesforce. Users have been complaining that they are seeing discrepancies in product and pricing information displayed on the NTO website and Salesforce.
As a data architect, which action is recommended to avoid data sync issues?
- A. Implement a manual process to update the products from an extract from the products master on a weekly basis.
- B. Build a custom integration for one-way sync of product and pricing information from product master to Salesforce.
- C. Use the Customer 360 data manager to sync product and pricing information from product master database to Salesforce.
- D. Build a custom integration for two-way sync of product and pricing information between product master to Salesforce.
Answer: C
NEW QUESTION # 194
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?
- A. Extract opportunity and order data from Salesforce, and use a third-party reporting tool to run reports outside of Salesforce.
- B. Create custom fields on opportunity, and copy data from order into those custom fields and run all reports on Opportunity object.
- C. Create an aggregate custom object that summarizes the monthly and yearly values into the required format for the required reports.
- D. Create a skinny table in Salesforce, and copy order and opportunity fields into the skinny table and create the required reports on It.
Answer: C
NEW QUESTION # 195
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