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[General] Free PDF Quiz 2026 Efficient Salesforce Data-Architect: Salesforce Certified Dat

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【General】 Free PDF Quiz 2026 Efficient Salesforce Data-Architect: Salesforce Certified Dat

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Salesforce Data-Architect Certification will help you achieve a better understanding of the Salesforce platform and become a master of data architecture. Salesforce Certified Data Architect certification requires you to have an in-depth knowledge of Salesforce data architecture concepts, best practices, and implementation. You'll learn how to create a scalable, performant, and maintainable data architecture for your organization's goals.
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Salesforce Data-Architect (Salesforce Certified Data Architect) Exam is a highly sought-after certification for professionals working in the Salesforce ecosystem. Data-Architect exam is designed to test a candidate's knowledge and expertise in designing and implementing complex data solutions on the Salesforce platform. Salesforce Certified Data Architect certification emphasizes the importance of data modelling, data governance, data integration, and data migration in Salesforce.
Salesforce Data-Architect Certification Exam comprises scenarios that assess the candidate's ability to design, develop, and implement data solutions using Salesforce tools and technologies. Data-Architect Exam Tests the candidate's knowledge of data modeling, data integration, data migration, data governance, and data security. Candidates are expected to have a deep understanding of Salesforce's data architecture and its application to real-world business scenarios. They must also be proficient in using tools such as Salesforce Data Loader, Salesforce Connect, and Salesforce Shield.
Salesforce Certified Data Architect Sample Questions (Q37-Q42):NEW QUESTION # 37
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. Define data duplication standards and rules
  • B. Measure data timeliness and consistency
  • C. Define key fields in staging database for data cleansing
  • D. Finalize an extract transform load (ETL) tool for data migration
  • E. Measure data completeness and accuracy
Answer: A,B,E
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 # 38
Northern Trail outfitters in migrating to salesforce from a legacy CRM system that identifies the agent relationships in a look-up table.
What should the data architect do in order to migrate the data to Salesfoce?
  • A. Migrate to Salesforce without a record owner.
  • B. Migrate the data and assign to a non-person system user.
  • C. Assign record owner based on relationship.
  • D. Create custom objects to store agent relationships.
Answer: D
Explanation:
The correct answer is A. To migrate the data to Salesforce, the data architect should create custom objects to store agent relationships. This will allow the data architect to replicate the look-up table structure from the legacy CRM system and maintain the relationship data in Salesforce. Option B is incorrect because migrating to Salesforce without a record owner will cause errors and prevent the data from being imported. Option C is incorrect because assigning record owner based on relationship will not preserve the agent relationships from the legacy CRM system. Option D is incorrect because migrating the data and assigning to a non-person system user will not allow the users to access and modify the data.

NEW QUESTION # 39
Universal Containers has a custom object with millions of rows of data.
When executing SOQL queries, which three options prevent a query from being selective? (Choose three.)
  • A. Performing large loads and deletions.
  • B. Using NOT and != operators.
  • C. Using a custom index on a deterministic formula field.
  • D. Using leading % wildcards.
  • E. Using trailing % wildcards.
Answer: A,B,D
Explanation:
Using leading % wildcards, performing large loads and deletions, and using NOT and != operators are three options that prevent a query from being selective. These options can cause the query to scan a large number of records or indexes, which can negatively impact the performance and scalability of the query5. Using a custom index on a deterministic formula field, on the other hand, can improve the query selectivity by allowing the query to use the index instead of scanning all the records6.

NEW QUESTION # 40
Universal Containers (UC) is a major supplier of office supplies. Some products are produced by UC and some by other manufacturers. Recently, a number of customers have complained that product descriptions on the invoices do not match the descriptions in the online catalog and on some of the order confirmations (e.g., "ballpoint pen" in the catalog and "pen" on the invoice, and item color labels are inconsistent: "what vs. "White" or "blk" vs. "Black"). All product data is consolidated in the company data warehouse and pushed to Salesforce to generate quotes and invoices. The online catalog and webshop is a Salesforce Customer Community solution. What is a correct technique UC should use to solve the data inconsistency?
  • A. Build Apex Triggers in Salesforce that ensure products have the correct names and labels after data is loaded into salesforce.
  • B. Add custom fields to the Product standard object in Salesforce to store data from the different source systems.
  • C. Change integration to let product master systems update product data directly in Salesforce via the Salesforce API.
  • D. Define a data taxonomy for product data and apply the taxonomy to the product data in the data warehouse.
Answer: D
Explanation:
A correct technique UC should use to solve the data inconsistency is to define a data taxonomy for product data and apply the taxonomy to the product data in the data warehouse. A data taxonomy is a hierarchical classification of data entities and attributes that defines their meaning, format, and relationships. A data taxonomy can help ensure consistency, accuracy, and completeness of product data across different systems and channels

NEW QUESTION # 41
Universal Containers (UC) has built a custom application on Salesforce to help track shipments around the world. A majority of the shipping records are stored on premise in an external data source. UC needs shipment details to be exposed to the custom application, and the data needs to be accessible in real time. The external data source is not OData enabled, and UC does not own a middleware tool.
Which Salesforce Connect procedure should a data architect use to ensure UC's requirements are met?
  • A. Develop a process that calls an inviable web service method.
  • B. Write a custom adapter with the Apex Connector Framework.
  • C. Migrate the data to Heroku and register Postgres as a data source.
  • D. Write an Apex class that makes a REST callout to the external API.
Answer: B

NEW QUESTION # 42
......
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