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Salesforce Data-Architect certification exam is designed to test the knowledge and skills of professionals in Salesforce data management. Data-Architect exam covers topics such as data modeling, data governance, data integration, data security, data analytics, and data migration. Salesforce Certified Data Architect certification exam aims to test the candidate's ability to design, implement, and manage data architecture solutions in Salesforce.
Salesforce Data-Architect (Salesforce Certified Data Architect) exam is designed for professionals who specialize in data architecture and management within the Salesforce ecosystem. Salesforce Certified Data Architect certification validates the knowledge and skills required for designing and implementing scalable, efficient, and secure data solutions using the Salesforce platform. Data-Architect Exam covers a wide range of topics, including data modeling, data integration, data migration, data governance, and data security.
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Salesforce Data-Architect Exam is intended for professionals who have significant experience in data architecture and have completed other Salesforce certifications such as Salesforce Certified Technical Architect or Salesforce Certified Application Architect. Data-Architect exam is designed to challenge candidates and test their knowledge and skills in a real-world scenario. Passing Data-Architect Exam demonstrates a professional's ability to design and implement data solutions that meet business requirements and provide value to the organization.
Salesforce Certified Data Architect Sample Questions (Q114-Q119):
NEW QUESTION # 114
Universal Containers (UC) maintains a collection of several million Account records that represent business in the United Sates. As a logistics company, this list is one of the most valuable and important components of UC ' s business, and the accuracy of shipping addresses is paramount. Recently it has been noticed that too many of the addresses of these businesses are inaccurate, or the businesses don ' t exist. Which two scalable strategies should UC consider to improve the quality of their Account addresses?
- A. Leverage Data.com Clean to clean up Account address fields with the D & B database.
- B. Build a team of employees that validate Accounts by searching the web and making phone calls.
- C. Integrate with a third-party database or services for address validation and enrichment.
- D. Contact each business on the list and ask them to review and update their address information.
Answer: A,C
Explanation:
Integrating with a third-party database or service for address validation and enrichment is a scalable strategy that can improve the quality of the Account addresses by comparing them with a reliable source of data 1
. Leveraging Data.com Clean to clean up Account address fields with the D & B database is another scalable strategy that can automatically update and enrich Account records with verified information from Data.com 2 .
NEW QUESTION # 115
NTO has decided to franchise its brand. Upon implementation, 1000 franchisees will be able to access BTO's product information and track large customer sales and opportunities through a portal. The Franchisees will also be able to run monthly and quarterly sales reports and projections as well as view the reports in dashboards.
Which licenses does NTO need to provide these features to the Franchisees?
- A. Salesforce Sales Cloud license
- B. Customer Community license
- C. Lightning Platform license
- D. Partner Community license
Answer: D
NEW QUESTION # 116
UC has a legacy client server app that as a relational data base that needs to be migrated to salesforce.
What are the 3 key actions that should be done when data modeling in salesforce?
Choose 3 answers:
- A. Map legacy data to salesforce objects.
- B. Implement legacy data model within salesforce using custom fields.
- C. Map legacy data to salesforce custom objects.
- D. Identify data elements to be persisted in salesforce.
- E. Work with legacy application owner to analysis legacy data model.
Answer: A,B,D
Explanation:
According to the Data Modeling unit on Trailhead, some of the key actions that should be done when data modeling in Salesforce are identifying data elements, mapping legacy data, and implementing legacy data model. The unit states that "Before you start creating objects and fields in Salesforce, you need to identify the data elements that you want to store and work with. ... Next, you need to map your legacy data to Salesforce objects and fields. ... Finally, you need to implement your data model in Salesforce by creating custom objects and fields using declarative tools or Metadata API." Therefore, these are the correct actions for migrating a legacy client server app to Salesforce.
NEW QUESTION # 117
Universal Containers (UC) owns several Salesforce orgs across a variety of business units. UC management has declared that it needs the ability to report on Accounts and Opportunities from each org in one place.
Once the data is brought together into a global view, management would like to use advanced Al-driven analytics on the dataset.
Which tool should a data architect recommend to accomplish this reporting requirement?
- A. Write a Python script to aggregate and visualize the data.
- B. Install a third-party AppExchange tool for multi-org reporting.
- C. Use Einstein Analytics for multi-org.
- D. Run standard reports and dashboards.
Answer: C
Explanation:
According to this article , Einstein Analytics for multi-org can help UC to report on accounts and opportunities from each org in one place. It can also provide advanced AI-driven analytics on the dataset using Einstein Discovery.
NEW QUESTION # 118
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. Sync cases older than 2 years to an external database, and provide access to Service agents to the database
- B. Use Big objects for cases older than 2 years, and use nightly batch to move them.
- C. Use custom objects for cases older than 2 years and use nightly batch to move them.
- D. Use Heroku and external objects to display cases older than 2 years and bulk API to hard delete from Salesforce.
Answer: B,D
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 # 119
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