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Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionObjectives
Topic 1: Salesforce Data Model and Platform Capabilities- Standard and custom objects
- Relationships and schema design
- Reporting and analytics considerations
Topic 2: Data Migration- Data cleansing and transformation
- Data migration strategies and planning
Topic 3: Data Management- Data governance principles
- Data quality management
- Master data management (MDM) concepts
Topic 4: Data Integration- ETL vs ELT strategies
- API-based integration approaches
- Integration patterns in Salesforce
Topic 5: 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 (Q249-Q254):

NEW QUESTION # 249
Cloud Kicks needs to purge detailed transactional records from Salesforce. The data should be aggregated at a summary level and available in Salesforce. What are two automated approaches to fulfill this goal? (Choose two.)

Answer: A,C

Explanation:
Both A and B are automated approaches to purge detailed transactional records from Salesforce and aggregate them at a summary level. You can use a third-party integration tool (ETL) or schedulable batch Apex to perform these tasks.


NEW QUESTION # 250
NTO processes orders from its website via an order management system (OMS). The OMS stores over 2 million historical records and is currently not integrated with SF. The Sales team at NTO using Sales cloud and would like visibility into related customer orders yet they do not want to persist millions of records directly in Salesforce. NTO has asked the data architect to evaluate SF connect and the concept of data verification. Which 3 considerations are needed prior to a SF Connect implementation? Choose 3 answer

Answer: B,C,E

Explanation:
The three considerations needed prior to a SF Connect implementation are to develop an object relationship strategy, identify the external tables to sync into external objects, and assess whether the external data source is reachable via an ODATA endpoint. SF Connect is a feature that allows integrating external data sources with Salesforce using external objects. External objects are similar to custom objects, but they store metadata only and not data. They enable on-demand access to external data via standard Salesforce APIs and user interfaces. To implement SF Connect, a data architect needs to consider how the external objects will relate to other objects in Salesforce, which external tables will be exposed as external objects, and whether the external data source supports ODATA protocol for data access.


NEW QUESTION # 251
UC has a roll-up summary field on Account to calculate the count of contacts associated with an account. During the account load, SF is throwing an "Unable to lock a row" error. Which solution should a data architect recommend, to resolve the error?

Answer: D

Explanation:
The best solution to resolve the error of "Unable to lock a row" during the account load is to perform batch job in serial mode and reduce batch size. This is because roll-up summary fields are calculated synchronously when the parent record is updated, and asynchronously when the child record is updated. Therefore, updating many child records at once can cause locking issues on the parent record. To avoid this, it is recommended to use serial mode and smaller batch sizes when loading data using tools like Data Loader or Bulk API. Leverage data loader platform API to load data is not a good option because it does not specify the mode or batch size. Perform batch job in parallel mode and reduce batch size is not a good option because parallel mode can still cause locking issues even with smaller batches. Defer roll-up summary fields calculation during data migration is not a good option because it is not possible to defer or disable roll-up summary fields calculation


NEW QUESTION # 252
Universal Containers (UC) has a custom discount request object set as a detail object with a custom product object as the master. There is a requirement to allow the creation of generic discount requests without the custom product object as its master record. What solution should an Architect recommend to UC?

Answer: C

Explanation:
Changing the master-detail relationship to a lookup relationship is the best solution for allowing the creation of generic discount requests without the custom product object as its master record.
A lookup relationship allows you to create child records without requiring a parent record. It also gives you more flexibility in defining the sharing and security settings for each object


NEW QUESTION # 253
Cloud Kicks is launching a Partner Community, which will allow users to register shipment requests that are then processed by Cloud Kicks employees. Shipment requests contain header information, and then a list of no more than 5 items being shipped.
First, Cloud Kicks will introduce its community to 6,000 customers in North America, and then to
24,000 customers worldwide within the next two years. Cloud Kicks expects 12 shipment requests per week per customer, on average, and wants customers to be able to view up to three years of shipment requests and use Salesforce reports.
What is the recommended solution for the Cloud Kicks Data Architect to address the requirements?

Answer: C

Explanation:
The recommended solution for the Cloud Kicks Data Architect to address the requirements is to create a custom object to track shipment requests and a child custom object to track shipment items. Implement an archiving process that moves data off-platform after three years. This solution would allow Cloud Kicks to store and manage their shipment data on Salesforce, and use Salesforce reports to analyze it. However, since Cloud Kicks expects a large volume of data over time, they should implement an archiving process that moves data off-platform after three years to avoid hitting the Org data storage limit and maintain optimal performance. External objects are not a good option for this scenario, because they are stored off-platform in an external system, such as Heroku's Postgres database, and they have limited functionality and performance compared to custom objects


NEW QUESTION # 254
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