TRY SALESFORCE DATA-ARCHITECT DUMPS - SUCCESSFUL PLAN TO PASS THE EXAM

TRY Salesforce Data-Architect DUMPS - SUCCESSFUL PLAN TO PASS THE EXAM

TRY Salesforce Data-Architect DUMPS - SUCCESSFUL PLAN TO PASS THE EXAM

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Salesforce Data-Architect Certification Exam is a valuable asset for professionals in the Salesforce ecosystem. Salesforce Certified Data Architect certification demonstrates a high level of expertise in Salesforce data architecture and management, which is highly sought after by employers. Individuals who possess this certification can expect to earn higher salaries, gain recognition within their organizations, and have greater opportunities for career advancement.

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Salesforce Certified Data Architect Sample Questions (Q245-Q250):

NEW QUESTION # 245
During the implementation of Salesforce, a customer has the following requirements for Sales Orders:
1. Sales Order information needs to be shown to users in Salesforce.
2. Sales Orders are maintained in the on-premises enterprise resource planning (ERP).
3. Sales Order information has more than 150 million records.
4. Sales Orders will not be updated in Salesforce.
What should a data architect recommend for maintaining Sales Orders in salesforce?

  • A. Use Standard order object to maintain Sale Orders in Salesforce
  • B. Us custom objects to maintain Sales Orders in Salesforce.
  • C. Use custom big objects to maintain Sales Orders in Salesforce.
  • D. Use external objects to maintain Sales Order in Salesforce.

Answer: D


NEW QUESTION # 246
Universal Containers has a requirement to store more than 100 million records in salesforce and needs to create a custom big object to support this business requirement.
Which two tools should a data architect use to build custom object?

  • A. Go to Object Manager in setup and select new to create big object.
  • B. Use DX to create big object.
  • C. Go to Big Object in setup select new to create big object.
  • D. Use Metadata API to create big object.

Answer: C,D

Explanation:
To build a custom big object to support storing more than 100 million records in Salesforce, a data architect should use Metadata API or Big Object in setup. Metadata API is an API that allows developers to create, retrieve, update, or delete metadata components in Salesforce programmatically. Big Object in setup is a user interface that allows admins to create big objects declaratively without writing code. Both tools can be used to define custom big objects and their fields, indexes, and relationships in Salesforce. Option A is incorrect because DX (Developer Experience) is a set of tools that allows developers to create and manage applications on Salesforce Platform, but it does not support creating big objects directly. Option D is incorrect because Object Manager in setup is a user interface that allows admins to create and manage standard and custom objects in Salesforce, but it does not support creating big objects declaratively.


NEW QUESTION # 247
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 solution should a data architect recommend to resolve the complaints?

  • A. Implement a de-dupe solution and establish account ownership in Salesforce
  • B. Build a nightly sync job from ERP to Salesforce.
  • C. Integrate Salesforce with ERP, and make ERP as system of truth.
  • D. Build a nightly batch job to de-dupe data, and merge account records.

Answer: A,C


NEW QUESTION # 248
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:

  • A. Measure data completeness and accuracy
  • B. Define key fields in staging database for data cleansing
  • C. Finalize an extract transform load (ETL) tool for data migration
  • D. Define data duplication standards and rules
  • E. Measure data timeliness and consistency

Answer: A,D,E


NEW QUESTION # 249
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?

  • A. Implement a de-dupe solution and establish account ownership in Salesforce
  • B. Build a nightly sync job from ERP to Salesforce.
  • C. Integrate Salesforce with ERP, and make ERP as system of truth.
  • D. Build a nightly batch job to de-dupe data, and merge account records.

Answer: A,C

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 # 250
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