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Pass Guaranteed 2025 Salesforce Useful Data-Architect: Salesforce Certified Data Architect Test Cram Review

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Salesforce Data-Architect Exam Syllabus Topics:

Topic
Details

Topic 1

Large Data Volume Considerations: This covers the design of a data model that scales considering large data volume and solution performance, a data archiving and purging plan, and the use of virtualized data options.

Topic 2

Data modeling
Database Design: This topic covers various techniques and considerations for designing a data model for the Customer 360 platform. It also focuses on approaches to designing a scalable data model that obeys the current security and sharing model. The topic also compares and contrasts techniques for capturing and managing business and technical metadata, as well as the reasons for implementing Big Objects vs Standard
Custom objects and approaches to avoid data skew.

Topic 3

Data Migration: This topic covers suitable techniques and methods to make sure high data quality at load time, different strategies to improve performance when migrating large data volumes into Salesforce, and various techniques and considerations to export data from Salesforce.

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Salesforce Certified Data Architect certification is a highly sought-after certification for professionals who want to excel in their Salesforce career. Salesforce Certified Data Architect certification validates the skills required to design, implement, and maintain complex data solutions on the Salesforce platform. The Salesforce Certified Data Architect certification is a valuable asset for professionals who want to stand out in the competitive Salesforce job market.

Salesforce Certified Data Architect Sample Questions (Q252-Q257):

NEW QUESTION # 252
Northern Trail Outfitters Is planning to build a consent form to record customer authorization for marketing purposes.
What should a data architect recommend to fulfill this requirement?

A. Utilize the Authorization Form Consent object to capture the consent.
B. Use custom fields to capture the authorization details.
C. Create a custom object to maintain the authorization.
D. Use AppExchange solution to address the requirement.

Answer: A

NEW QUESTION # 253
Universal Containers (UC) has three systems: Salesforce, a cloud -based ERP system, and an on -premise Order Management System (OMS). An architect has been tasked with creating a solution that uses Salesforce as the system of record for Leads and the OMS as the system of record for Account and Contacts. UC wants Accounts and Contacts to be able to maintain their names in each system (i.e., "John Doe" in the OMS and "Johnny Doe" in Salesforce), but wants to have a consolidated data store which links referenced records across the systems. What approach should an architect suggest so the requirements are met?

A. Implement a Master Data Management strategy to reconcile Leads, Accounts, and Contacts.
B. Have Salesforce poll the OMS nightly and bring in the desired Accounts and Contacts.
C. Use the Streaming API to send Account and Contact data from Salesforce to the OMS.
D. Implement an integration tool to send OMS Accounts and Contacts to Salesforce.

Answer: A

Explanation:
Implementing a Master Data Management strategy to reconcile Leads, Accounts, and Contacts is the approach that the architect should suggest so that the requirements are met for UC. A Master Data Management strategy can provide a consistent and unified view of data across multiple systems, by defining and enforcing rules for data quality, governance, and integration. A Master Data Management strategy can also handle complex scenarios where different systems have different systems of record for different entities or fields, and where data can be modified in different systems with different values. A Master Data Management strategy can also provide a consolidated data store that links referenced records across systems and enables cross-system reporting and analysis. The other options are not suitable or sufficient for meeting the requirements, as they would either not provide a consolidated data store, not handle different systems of record, or not allow data modification in different system

NEW QUESTION # 254
Northern Trail Outfitters (NTO) has a variety of customers that include householder, businesses, and individuals.
The following conditions exist within its system:
NTO has a total of five million customers.
Duplicate records exist, which is replicated across many systems, including Salesforce.
Given these conditions, there is a lack of consistent presentation and clear identification of a customer record.
Which three option should a data architect perform to resolve the issues with the customer data?

A. Create a customer master database external to Salesforce as a system of truth and sync the customer data with all systems.
B. Invest in data duplicate tool to de-dupe and merge duplicate records across all systems.
C. Duplicate customer records across the system and provide a two-way sync of data between the systems.
D. Use Salesforce CDC to sync customer data cross all systems to keep customer record in sync.
E. Create a unique global customer ID for each customer and store that in all system for referential identity.

Answer: A,B,E

NEW QUESTION # 255
Universal Containers (UC) has users complaining about reports timing out or simply taking too long to run What two actions should the data architect recommend to improve the reporting experience? Choose 2 answers

A. Share each report with fewer users.
B. Enable Divisions for large data objects.
C. Create one skinny table per report.
D. Index key fields used in report criteria.

Answer: C,D

NEW QUESTION # 256
What 2 data management policies does the data classification feature allow customers to classify in salesforce? Choose 2 answers:

A. Compliance categorization policy.
B. Reference data policy.
C. Data governance policy.
D. Data sensitivity level

Answer: A,D

Explanation:
The data classification feature allows customers to classify their data in Salesforce based on two policies:
Data sensitivity level: This policy defines how sensitive the data is and what level of protection it requires. For example, high sensitivity data may require encryption or masking.
Compliance categorization policy: This policy defines how the data is regulated by various laws and standards. For example, GDPR or PCI DSS.

NEW QUESTION # 257
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