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Salesforce Plat-Arch-201 Exam Syllabus Topics:

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

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Salesforce Certified Platform Data Architect Sample Questions (Q187-Q192):

NEW QUESTION # 187
What is an advantage of using Custom metadata type over Custom setting?

A. Custom metadata types are available for reporting.
B. Custom metadata records are editable in Apex.
C. Custom metadata records are not copied from production to sandbox.
D. Custom metadata records are deployable using packages.

Answer: D

Explanation:
Custom metadata records are deployable using packages, which makes them easier to migrate from one environment to another. Custom settings records are not deployable using packages, and they are copied from production to sandbox. Custom metadata types are not available for reporting, and custom metadata records are not editable in Apex.

NEW QUESTION # 188
NTO has multiple systems across its enterprise landscape including salesforce, with disparate version the customer records.
In salesforce, the customer is represented by the contact object.
NTO utilizes an MDM solution with these attributes:
1. The MDM solution keeps track of customer master with a master key.
2. The master key is a map to the record ID's from each external system that customer data is stored within.
3. The MDM solution provides de-duplication features, so it acts as the single source of truth.
How should a data architect implement the storage of master key within salesforce?

A. Create a custom object to store the master key with a lookup field to contact.
B. Create an external object to store the master key with a lookup field to contact.
C. Store the master key in Heroku postgres and use Heroku connect for synchronization.
D. Store the master key on the contact object as an external ID (Field for referential imports)

Answer: D

Explanation:
The best way to implement the storage of master key within Salesforce is to store it on the contact object as an external ID field for referential imports. This way, the data architect can use the master key as a unique identifier to match records from different systems and avoid duplicates. The other options are not feasible because they either require additional storage or do not support referential imports.

NEW QUESTION # 189
A Salesforce customer has plenty of data storage. Sales Reps are complaining that searches are bringing back old records that aren't relevant any longer. Sales Managers need the data for their historical reporting. What strategy should a data architect use to ensure a better user experience for the Sales Reps?

A. Set data access to Private to hide old data from Sales Reps.
B. Use Batch Apex to archive old data on a rolling nightly basis.
C. Create a Permission Set to hide old data from Sales Reps.
D. Archive and purge old data from Salesforce on a monthly basis.

Answer: D

Explanation:
Archiving and purging old data from Salesforce on a monthly basis is a good strategy to improve the user experience for the Sales Reps, as it will reduce the clutter and improve the search performance. Creating a permission set or setting data access to private are not effective ways to hide old data from Sales Reps, as they will still consume data storage and affect search results.
Using Batch Apex to archive old data on a rolling nightly basis is also not a good option, as it will consume API requests and processing time, and may not comply with the data retention policy.

NEW QUESTION # 190
Universal Containers (UC) maintains a collection of several million Account records that represent business in the United Sates. As a logistics company, this list is one of the most valuable and important components of UC's business, and the accuracy of shipping addresses is paramount.
Recently it has been noticed that too many of the addresses of these businesses are inaccurate, or the businesses don't exist. Which two scalable strategies should UC consider to improve the quality of their Account addresses?

A. Integrate with a third-party database or services for address validation and enrichment.
B. Leverage Data.com Clean to clean up Account address fields with the D&B database.
C. Contact each business on the list and ask them to review and update their address information.
D. Build a team of employees that validate Accounts by searching the web and making phone calls.

Answer: A,B

Explanation:
Integrating with a third-party database or service for address validation and enrichment is a scalable strategy that can improve the quality of the Account addresses by comparing them with a reliable source of data. Leveraging Data.com Clean to clean up Account address fields with the D&B database is another scalable strategy that can automatically update and enrich Account records with verified information from Data.com.

NEW QUESTION # 191
As part of addressing general data protection regulation (GDPR) requirements, UC plans to implement a data classification policy for all its internal systems that stores customer information including salesforce. What should a data architect recommend so that UC can easily classify consumer information maintained in salesforce under both standard and custom objects?

A. Build reports for customer information and validate.
B. Create a custom picklist field to capture classification of information on customer.
C. Use data classification metadata fields available in field definition.
D. Use App Exchange products to classify fields based on policy.

Answer: C

Explanation:
The correct answer is B, use data classification metadata fields available in field definition. Data classification metadata fields are standard fields that allow you to classify the sensitivity level of your data based on your organization's policies. You can use these fields to indicate whether a field contains confidential, restricted, or general data. These fields are available for both standard and custom objects in Salesforce. Using app exchange products, creating a custom picklist field, or building reports would not be as effective or consistent as using data classification metadata fields.

NEW QUESTION # 192
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