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Salesforce Data-Architect Exam is a comprehensive assessment of a professional's knowledge and skills in the field of data architecture. Passing Data-Architect exam is a significant achievement and provides a certification that is highly valued in the industry. Data-Architect Exam Tests a candidate's ability to design and implement complex data solutions using Salesforce technologies and is intended for professionals who have significant experience in data architecture.
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To become a Salesforce Certified Data Architect, candidates must pass the Data-Architect certification exam. Data-Architect exam is designed to test candidates on their ability to design and implement complex data models, integrate data from multiple sources, and ensure data quality and security. Candidates must have a deep understanding of Salesforce data architecture and data management best practices to pass Data-Architect exam.
Salesforce Data-Architect Exam is a challenging exam that requires extensive knowledge of Salesforce data management concepts and principles. Data-Architect Exam consists of multiple-choice questions and scenario-based questions that test a candidate's ability to design and manage complex data architectures on the Salesforce platform. Candidates must have a thorough understanding of data modeling, data integration, data governance, and data security. Passing Data-Architect exam requires extensive preparation, including studying the Salesforce Data-Architect exam guide, taking practice exams, and gaining practical experience in designing and implementing data solutions on the Salesforce platform.
NEW QUESTION # 204
North Trail Outfitters (NTO) operates a majority of its business from a central Salesforce org, NTO also owns several secondary orgs that the service, finance, and marketing teams work out of, At the moment, there is no integration between central and secondary orgs, leading to data-visibility issues.
Moving forward, NTO has identified that a hub-and-spoke model is the proper architect to manage its data, where the central org is the hub and the secondary orgs are the spokes.
Which tool should a data architect use to orchestrate data between the hub org and spoke orgs?
Answer: C
NEW QUESTION # 205
Universal Containers (UC) plans to implement consent management for its customers to be compliant with General Data Protection Regulation (GDPR). UC has the following requirements:
UC uses Person Accounts and Contacts in Salesforce for its customers.
Data Protection and Privacy is enabled in Salesforce.
Consent should be maintained in both these objects.
UC plans to verify the consent provided by customers before contacting them through email or phone.
Which option should the data architect recommend to implement these requirements?
Answer: A
Explanation:
Using the Consent Management Feature to validate consent provided under the person Account and Contact that is provided by the customer (option C) is the best option to implement these requirements, as it allows UC to store and manage consent preferences for Person Accounts and Contacts using native Salesforce features and tools. Configuring custom fields in Person Account and Contact to store consent provided by customers and validate consent against the fields (option A) or building Custom object to store consent information in Person Account and Contact and validate against this object before contacting customers (option B) are not good options, as they may require more customization and maintenance effort, and they do not leverage the existing Data Protection and Privacy feature. Deleting contact information from customers who have declined consent to be contacted (option D) is also not a good option, as it may cause data loss or compliance issues, and it does not allow UC to track or update consent preferences.
NEW QUESTION # 206
Northern trail Outfitters (NTO) uses Sales Cloud and service Cloud to manage sales and support processes. Some of NTOs team are complaining they see new fields on their page unsure of which values need be input. NTO is concerned about lack of governance in making changes to Salesforce.
Which governance measure should a data architect recommend to solve this issue?
Answer: A
Explanation:
To solve the issue of lack of governance in making changes to Salesforce, a data architect should recommend creating and managing a data dictionary and setting up a governance process for changes made to common objects. A data dictionary is a document that defines the metadata, structure, and relationship of each object and field in Salesforce. A governance process is a set of rules and procedures that govern how changes are proposed, reviewed, approved, and deployed in Salesforce. These measures will help NTO to maintain consistency, quality, and clarity of their data model and avoid confusion and errors among users. Option A is incorrect because adding description fields to explain why the field is used, and marking the field as required will not prevent unauthorized or unnecessary changes to Salesforce. Option C is incorrect because creating reports to identify which users are leaving blank, and using external data sources to augment the missing data will not address the root cause of the issue, which is the lack of governance in making changes to Salesforce. Option D is incorrect because creating validation rules with error messages to explain why the fields are used will not stop users from seeing new fields on their page that they are unsure of.
NEW QUESTION # 207
UC needs to load a large volume of leads into salesforce on a weekly basis. During this process the validation rules are disabled.
What should a data architect recommend to ensure data quality is maintained in salesforce.
Answer: D
NEW QUESTION # 208
Universal Containers (UC) has a data model as shown in the image. The Project object has a private sharing model, and it has Roll -Up summary fields to calculate the number of resources assigned to the project, total hours for the project, and the number of work items associated to the project. What should the architect consider, knowing there will be a large amount of time entry records to be loaded regularly from an external system into Salesforce.com?
Answer: B
Explanation:
Loading all data after deferring sharing calculations can improve the performance and avoid locking issues when loading a large amount of time entry records into Salesforce.com. This is because deferring sharing calculations can temporarily suspend the calculation of sharing rules until all the data is loaded, and then recalculate them in one operation
NEW QUESTION # 209
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