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Salesforce Certified Data-Architect exam is a challenging exam that tests the knowledge and expertise of the candidate in various areas, including data modeling, data integration, data architecture, and data governance. Data-Architect exam consists of multiple-choice questions and scenario-based questions, and it requires in-depth knowledge of the Salesforce platform and its capabilities.
Salesforce Certified Data Architect certification exam measures a candidate’s expertise in designing and managing data architecture, data modeling, and data governance within the Salesforce platform. It also evaluates a candidate’s ability to design and implement complex data integrations with external systems.
Salesforce Data-Architect Certification Exam covers a wide range of topics, including data modeling, data integration, data migration, data governance, and data security. Data-Architect exam consists of multiple-choice questions that test the candidate's ability to design and implement data solutions that meet business requirements. Data-Architect exam is available in English, Japanese, and Spanish and can be taken at any Salesforce testing center or online.
Salesforce Certified Data Architect Sample Questions (Q254-Q259):
NEW QUESTION # 254
Universal Container has a Sales Cloud implementation for a sales team and an enterprise resource planning (ERP) as a customer master Sales team are complaining about duplicate account and data quality issues with account data.
Which two solutions should a data architect recommend to resolve the complaints?
Answer: A,B
Explanation:
Integrating Salesforce with ERP and making ERP the system of truth (option B) and implementing a de-dupe solution and establishing account ownership in Salesforce (option D) are the two solutions that a data architect should recommend to resolve the complaints. Option B ensures that account data is consistent and accurate across both systems, while option D prevents duplicate records and clarifies who owns each account in Salesforce. Building a nightly batch job to de-dupe data and merge account records (option A) is not a good solution, as it does not address the root cause of the duplication and may result in data loss or conflicts.
Building a nightly sync job from ERP to Salesforce (option C) is also not sufficient, as it does not prevent duplication or establish ownership in Salesforce.
NEW QUESTION # 255
Northern Trail Outfitters (NTO) wants to implement backup and restore for Salesforce data, Currently, it has data backup processes that runs weekly, which back up all Salesforce data to an enterprise data warehouse (EDW). NTO wants to move to daily backups and provide restore capability to avoid any data loss in case of outage.
What should a data architect recommend for a daily backup and restore solution?
Answer: B
NEW QUESTION # 256
Universal Containers (UC) is a business that works directly with individual consumers (B2C). They are moving from a current home-grown CRM system to Salesforce. UC has about one million consumer records. What should the architect recommend for optimal use of Salesforce functionality and also to avoid data loading issues?
Answer: D
Explanation:
According to the exam guide, one of the objectives is to "describe best practices for implementing a single-org strategy in a B2C scenario"1. This implies that option D is the best practice for loading individual consumers as contacts in Salesforce. This approach avoids creating unnecessary accounts and reduces data duplication. Option C is not correct because it creates one account per contact, which increases data volume and complexity. Options A and B are not correct because they do not leverage the standard contact object, which provides native functionality and integration with other Salesforce features.
NEW QUESTION # 257
NTO (Northern Trail Outlets) has a complex Salesforce org which has been developed over past 5 years.
Internal users are complaining abt multiple data issues, including incomplete and duplicate data in the org.
NTO has decided to engage a data architect to analyze and define data quality standards.
Which 3 key factors should a data architect consider while defining data quality standards? Choose 3 answers:
Answer: B,C,D
Explanation:
Defining data duplication standards and rules, measuring data timeliness and consistency, and measuring data completeness and accuracy are three key factors that a data architect should consider while defining data quality standards. Defining data duplication standards and rules can help prevent or reduce duplicate records in the org by specifying criteria and actions for identifying and merging duplicates. Measuring data timeliness and consistency can help ensure that the data is up-to-date, reliable, and synchronized across different sources.
Measuring data completeness and accuracy can help ensure that the data is sufficient, relevant, and correct for the intended purposes.
NEW QUESTION # 258
Universal Containers (UC) is migrating from a legacy system to Salesforce CRM, UC is concerned about the quality of data being entered by users and through external integrations.
Which two solutions should a data architect recommend to mitigate data quality issues?
Answer: C,D
NEW QUESTION # 259
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