Plat-Arch-201 Actual Dump - Plat-Arch-201 Valid Exam Experience

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Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionObjectives
Data Architecture and Design- Data modeling best practices in Salesforce
- Conceptual and logical data modeling
- Handling large data volume and scalability considerations
Salesforce Data Model and Platform Capabilities- Relationships and schema design
- Reporting and analytics considerations
- Standard and custom objects
Data Management- Data quality management
- Data governance principles
- Master data management (MDM) concepts
Data Migration- Data migration strategies and planning
- Data cleansing and transformation
Data Integration- Integration patterns in Salesforce
- API-based integration approaches
- ETL vs ELT strategies

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Salesforce Certified Platform Data Architect Sample Questions (Q23-Q28):

NEW QUESTION # 23
DreamHouse Realty has a legacy system that captures Branch Offices and Transactions.
DreamHouse Realty has 15 Branch Offices. Transactions can relate to any Branch Office.
DreamHouse Realty has created hundreds of thousands of Transactions per year. A Data Architect needs to denormalize this data model into a single Transaction object with a Branch Office picklist. What are two important considerations for the Data Architect in this scenario?
(Choose two.)

Answer: A,B

Explanation:
The Data Architect should consider the limitations on Org data storage and the Bulk API limitations on picklist fields when denormalizing the data model into a single Transaction object with a Branch Office picklist. The Org data storage limit is the total amount of data that can be stored in a Salesforce Org, and it depends on the edition and license type of the Org. The Bulk API limit on picklist fields is the maximum number of values that can be imported or exported using the Bulk API, and it is 1,000 values per picklist field. These limitations could affect the performance and scalability of the data model, and the Data Architect should plan accordingly.


NEW QUESTION # 24
Universal Containers is exporting 40 million Account records from Salesforce using Informatica Cloud. The ETL tool fails and the query log indicates a full table scan time-out failure. What is the recommended solution?

Answer: D

Explanation:
The Sforce-Enable-PKChunking header enables you to extract large data sets from Salesforce by using a technique called primary key (PK) chunking. PK chunking splits your query into multiple queries based on the record IDs of the queried object. This reduces the query time and avoids the query timeout issues that can occur with large data volumes


NEW QUESTION # 25
An Architect needs information about who is creating, changing, or deleting certain fields within the past four months. How can the Architect access this information?

Answer: D

Explanation:
Exporting the setup audit trail can provide information about who is creating, changing, or deleting certain fields within the past four months. The setup audit trail tracks the recent setup changes that administrators and other users have made to the organization. The setup audit trail history shows up to 20 most recent changes in the Setup area, but administrators can download a report (in CSV format) of up to six months of setup history.


NEW QUESTION # 26
UC has one SF org (Org A) and recently acquired a secondary company with its own Salesforce org (Org B). UC has decided to keep the orgs running separately but would like to bidirectionally share opportunities between the orgs in near-real time. Which 3 options should a data architect recommend to share data between Org A and Org B? Choose 3 answer

Answer: A,B,D

Explanation:
Leveraging Heroku Connect and Heroku Postgres, middleware tools, or Salesforce Connect and the cross-org adapter are all viable options to share data between Org A and Org B in near-real time. Installing a 3rd party AppExchange tool may not provide bidirectional sync or may have additional costs. Developing an Apex class that pushes opportunity data between orgs daily via the Apex schedule may not meet the near-real time requirement.


NEW QUESTION # 27
Universal Container require all customers to provide either a phone number of an email address when registering for an account. What should the data architect use to ensure this requirement is met?

Answer: B

Explanation:
Using a validation rule is the best way to ensure that all customers provide either a phone number or an email address when registering for an account, as it allows defining a formula that evaluates whether a record meets certain criteria. Using required fields may not work if both phone number and email address are required. Using an Apex class or a Process Builder may be more complex or cumbersome than using a validation rule.


NEW QUESTION # 28
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