Official Plat-Arch-201 Study Guide, Plat-Arch-201 Clear Exam

The Salesforce Plat-Arch-201 certification exam is one of the hottest certifications in the market. This Salesforce Plat-Arch-201 exam offers a great opportunity to learn new in-demand skills and upgrade your knowledge level. By doing this successful Plat-Arch-201 Salesforce Certified Platform Data Architect exam candidates can gain several personal and professional benefits.

Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Objectives
Topic 1: Data Management	- Data governance principles - Master data management (MDM) concepts - Data quality management
Topic 2: Data Migration	- Data cleansing and transformation - Data migration strategies and planning
Topic 3: Salesforce Data Model and Platform Capabilities	- Reporting and analytics considerations - Relationships and schema design - Standard and custom objects
Topic 4: Data Architecture and Design	- Conceptual and logical data modeling - Data modeling best practices in Salesforce - Handling large data volume and scalability considerations
Topic 5: Data Integration	- Integration patterns in Salesforce - ETL vs ELT strategies - API-based integration approaches

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Salesforce Certified Platform Data Architect Sample Questions (Q90-Q95):

NEW QUESTION # 90
Universal Containers wants to automatically archive all inactive Account data that is older than 3 years. The information does not need to remain accessible within the application. Which two methods should be recommended to meet this requirement? Choose 2 answer

A. Use the Force.com Workbench to export the data.
B. Schedule a weekly export file from the Salesforce UI.
C. Schedule jobs to export and delete using an ETL tool.
D. Schedule jobs to export and delete using the Data Loader.

Answer: C,D

Explanation:
Both C and D are valid methods to automatically archive and delete inactive Account data that is older than 3 years. You can use an ETL tool or the Data Loader to schedule jobs to export and delete data based on certain criteria.

NEW QUESTION # 91
Universal Containers (UC) is implementing a new customer categorization process where customers should be assigned to a Gold, Silver, or Bronze category if they've purchased UC's new support service. Customers are expected to be evenly distributed across all three categories.
Currently, UC has around 500,000 customers, and is expecting 1% of existing non-categorized customers to purchase UC's new support service every month over the next five years. What is the recommended solution to ensure long-term performance, bearing in mind the above requirements?

A. Implement a new Categories custom object and a master-detail relationship from Account to Category.
B. Implement a new Categories custom object and create a lookup field from Account to Category.
C. Implement a new global picklist custom field with Gold, Silver, and Bronze values and enable it in Account.
D. Implement a new picklist custom field in the Account object with Gold, Silver, and Bronze values.

Answer: D

Explanation:
The recommended solution to ensure long-term performance for the customer categorization process is to implement a new picklist custom field in the Account object with Gold, Silver, and Bronze values. A picklist field is a simple and efficient way to store a predefined set of values for a record. A picklist field has the following benefits:
It allows you to easily filter, sort, and group records by their category values, which can help you analyze and segment your customers.
It does not require creating any additional objects or relationships, which can reduce the data model complexity and maintenance overhead.
It supports large data volumes and can handle millions of records without affecting performance or scalability.

NEW QUESTION # 92
To address different compliance requirements, such as general data protection regulation (GDPR), personally identifiable information (PII), of health insurance Portability and Accountability Act (HIPPA) and others, a SF customer decided to categorize each data element in SF with the following:
- Data owner
- Security Level, such as confidential
- Compliance types such as GDPR, PII, HIPPA
A compliance audit would require SF admins to generate reports to manage compliance.
What should a data architect recommend to address this requirement?

A. Use metadata API, to extract field attribute information and use the extract to classify and build reports
B. Create a custom object and field to capture necessary compliance information and build custom reports.
C. Use field metadata attributes for compliance categorization, data owner, and data sensitivity level.
D. Build reports for field information, then export the information to classify and report for Audits.

Answer: C

Explanation:
The data architect should recommend using field metadata attributes for compliance categorization, data owner, and data sensitivity level. This will allow the SF admins to generate reports to manage compliance based on the field metadata attributes that are defined for each data element in SF.

NEW QUESTION # 93
Universal Containers (UC) is planning to move away from legacy CRM to Salesforce. As part of one-time data migration, UC will need to keep the original date when a contact was created in the legacy system. How should an Architect design the data migration solution to meet this requirement?

A. Create a new field on the Contact object to capture the Created Date. Hide the standard Created Date field using Field -Level Security.
B. After the data is migrated, perform an update on all records to set the original date in a standard Created Date field.
C. Write an Apex trigger on the Contact object, before insert event to set the original value in a standard Created Date field.
D. Enable "Set Audit Fields" and assign the permission to the user loading the data for the duration of the migration.

Answer: D

Explanation:
Enabling "Set Audit Fields" allows the user loading the data to set the value of the standard CreatedDate field to match the original date from the legacy system. This is a one-time permission that can be revoked after the migration is completed. The other options would either not work or require additional customization

NEW QUESTION # 94
Universal Containers has received complaints that customers are being called by multiple Sales Reps where the second Sales Rep that calls is unaware of the previous call by their coworker.
What is a data quality problem that could cause this?

A. Duplicate Contact records exist in the system.
B. Customer phone number has changed on the Contact record.
C. Missing phone number on the Contact record.
D. Duplicate Activity records on a Contact.

Answer: A

Explanation:
A data quality problem that could cause customers to be called by multiple Sales Reps is having duplicate Contact records in the system. Duplicate records can result from data entry errors, data imports, or integrations with other systems. Duplicate records can lead to confusion, inefficiency, and customer dissatisfaction.

NEW QUESTION # 95
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