PASS GUARANTEED QUIZ 2025 SALESFORCE DATA-ARCHITECT: NEWEST INTEREACTIVE SALESFORCE CERTIFIED DATA ARCHITECT TESTING ENGINE

Pass Guaranteed Quiz 2025 Salesforce Data-Architect: Newest Intereactive Salesforce Certified Data Architect Testing Engine

Pass Guaranteed Quiz 2025 Salesforce Data-Architect: Newest Intereactive Salesforce Certified Data Architect Testing Engine

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Salesforce Data-Architect (Salesforce Certified Data Architect) Exam is a certification program designed to validate the skills and knowledge of professionals in the Salesforce platform. It is an advanced-level certification test that assesses the abilities of individuals to design and implement complex data architectures and management strategies using Salesforce products and solutions.

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Salesforce Certified Data Architect is an advanced-level certification that validates a professional's knowledge and skills in designing and implementing data architecture solutions in the Salesforce platform. Salesforce Certified Data Architect certification is intended for individuals who have extensive experience in data modeling, database design, data integration, and data governance. It also requires a deep understanding of the Salesforce data architecture, including the platform's data model, data storage options, data security, and data management features.

To be eligible for the Salesforce Data-Architect Exam, an individual must have a solid understanding of the Salesforce platform and its data-related features. They should also have experience in designing and implementing complex data solutions on the platform. Data-Architect exam is targeted at individuals who are looking to advance their careers in the field of data architecture, including data architects, data engineers, technical architects, and Salesforce developers.

Salesforce Certified Data Architect Sample Questions (Q36-Q41):

NEW QUESTION # 36
Universal Containers (CU) is in the process of implementing an enterprise data warehouse (EDW). UC needs to extract 100 million records from Salesforce for migration to the EDW.
What data extraction strategy should a data architect use for maximum performance?

  • A. Utilize PK Chunking with the Bulk API.
  • B. Install a third-party AppExchange tool.
  • C. Use the Bulk API in parallel mode.
  • D. Call the REST API in successive queries.

Answer: A

Explanation:
According to the Salesforce documentation2, extracting large amounts of data from Salesforce can be challenging and time-consuming, as it can encounter performance issues, API limits, timeouts, etc. To extract 100 million records from Salesforce for migration to an enterprise data warehouse (EDW), a data extraction strategy that can provide maximum performance is:
Utilize PK Chunking with the Bulk API (option C). This means using a feature that allows splitting a large query into smaller batches based on the record IDs (primary keys) of the queried object. This can improve performance and avoid timeouts by processing each batch asynchronously and in parallel using the Bulk API3.
Installing a third-party AppExchange tool (option A) is not a good solution, as it can incur additional costs and dependencies. It may also not be able to handle such a large volume of data efficiently. Calling the REST API in successive queries (option B) is also not a good solution, as it can encounter API limits and performance issues when querying such a large volume of data. Using the Bulk API in parallel mode (option D) is also not a good solution, as it can still cause timeouts and errors when querying such a large volume of data without chunking.


NEW QUESTION # 37
Universal Containers (UC) is in the process of selling half of its company. As part of this split, UC's main Salesforce org will be divided into two org:org A and org B, UC has delivered these requirements to its data architect
1. The data model for Org B will drastically change with different objects, fields, and picklist values.
2. Three million records will need to be migrated from org A to org B for compliance reasons.
3. The migrate will need occur within the next two month, prior to be split.
Which migrate strategy should a data architect use to successfully migrate the date?

  • A. Use the Salesforces CLI to query, export, and import
  • B. use as ETL tool to orchestrate the migration.
  • C. Use Data Loader for export and Data Import Wizard for import
  • D. Write a script to use the Bulk API

Answer: B

Explanation:
Using an ETL tool to orchestrate the migration is the best strategy for this scenario, as it can handle the data model changes, the large volume of records, and the tight timeline. Writing a script to use the Bulk API (option C) is also possible, but it would require more coding and testing effort. Using Data Loader and Data Import Wizard (option B) is not suitable for migrating three million records, as they have limitations on the batch size and the number of records per operation. Using Salesforce CLI (option D) is also not recommended for large data migration, as it is mainly designed for development and testing purposes


NEW QUESTION # 38
Northern Trail Outfitters <NTO> is streaming IoT data from connected devices to a cloud database. Every 24 hours. 100,000 records are generated.
NIO employees will need to see these lol records within Salesforce and generate weekly reports on it. Developers may also need to write programmatic logic to aggregate the records and incorporate them into workflows.
Which data pattern will allow a data architect to satisfy these requirements, while also keeping limits in mind?

  • A. Bidirectional integration
  • B. Virtualization
  • C. Unidirectional integration
  • D. Persistence

Answer: D

Explanation:
Persistence is the data pattern that will allow a data architect to satisfy the requirements, while also keeping limits in mind. Persistence means storing data from external sources in Salesforce objects, either standard or custom. This allows you to access the data within Salesforce and use it for reporting, analytics, workflows, and other features. Persistence also helps you avoid hitting API limits or performance issues when accessing large volumes of data from external systems. You can use various tools such as Data Loader, Bulk API, or Platform Events to persist IoT data from connected devices to a cloud database in Salesforce.


NEW QUESTION # 39
A customer needs a sales model that allows the following:
Opportunities need to be assigned to sales people based on the zip code.
Each sales person can be assigned to multiple zip codes.
Each zip code is assigned to a sales area definition. Sales is aggregated by sales area for reporting.
What should a data architect recommend?

  • A. Add custom fields in opportunities for zip code and use assignment rules.
  • B. Assign opportunities using list views using zip code.
  • C. Configure territory management feature to support opportunity assignment.
  • D. Allow sales users to manually assign opportunity ownership based on zip code.

Answer: C

Explanation:
The best solution to assign opportunities based on zip code and sales area is to configure territory management feature to support opportunity assignment. Territory management is a feature that allows you to organize your sales team into territories based on criteria such as geography, industry, product line, or customer segment.
You can assign accounts and opportunities to territories using assignment rules or manual sharing. You can also define forecast managers and roll up forecasts by territory45. Assign opportunities using list views using zip code is not a good solution because it is inefficient and does not support reporting by sales area. Add custom fields in opportunities for zip code and use assignment rules is not a good solution because it requires creating additional fields and does not support reporting by sales area. Allow sales users to manually assign opportunity ownership based on zip code is not a good solution because it is prone to errors and does not support reporting by sales area.


NEW QUESTION # 40
Universal Containers (UC) needs to run monthly and yearly reports on opportunities and orders for sales reporting. There are 5 million opportunities and 10 million orders. Sales users are complaining that the report will regularly timeout.
What is the fastest and most effective way for a data architect to solve the time-out issue?

  • A. Create custom fields on opportunity, and copy data from order into those custom fields and run all reports on Opportunity object.
  • B. Extract opportunity and order data from Salesforce, and use a third-party reporting tool to run reports outside of Salesforce.
  • C. Create an aggregate custom object that summarizes the monthly and yearly values into the required format for the required reports.
  • D. Create a skinny table in Salesforce, and copy order and opportunity fields into the skinny table and create the required reports on It.

Answer: C


NEW QUESTION # 41
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