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Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Governance10%- Describe the considerations for data quality
- Describe the elements of a data governance framework
- Describe the considerations for data classification
Topic 2: Master Data Management5%- Describe the methods for aligning data across systems
- Describe the considerations for a Master Data Management strategy
Topic 3: Data Modeling/Database Design25%- Describe the considerations when designing a data model for Salesforce
- Describe the options and considerations for Large Data Volumes (LDV)
- Describe the implications of LDV on data modeling
- Explain the usage of external objects
Topic 4: Salesforce Data Management25%- Describe the considerations for data governance
- Describe the considerations for data archival
- Describe the considerations for data migration
- Describe the implications of LDV on data management
Topic 5: Data Migration15%- Describe the tools and best practices for data migration
- Describe the implications of data migration on data quality
- Describe the considerations for data migration
Topic 6: Large Data Volumes20%- Describe the considerations for Large Data Volumes (LDV)
- Describe the implications of LDV on data modeling
- Describe the features and best practices for LDV

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Salesforce Certified Platform Data Architect Sample Questions (Q148-Q153):

NEW QUESTION # 148
Universal Containers (UC) has a Salesforce instance with over 10.000 Account records. They have noticed similar, but not identical. Account names and addresses. What should UC do to ensure proper data quality?

Answer: A

Explanation:
Enabling Account de-duplication by creating matching rules in Salesforce, which will mass merge duplicate Accounts, is what UC should do to ensure proper data quality for their Account records.
Matching rules allow UC to define how Salesforce identifies duplicate Accounts based on various criteria, such as name, address, phone number, etc. Mass merge allows UC to merge up to 200 duplicate Accounts at a time, based on the matching rules. This simplifies and automates the process of de-duplicating Accounts and improves data quality. The other options are either more time-consuming, costly, or error-prone for ensuring proper data quality.


NEW QUESTION # 149
Which API is best for loading millions of records asynchronously?

Answer: B

Explanation:
Bulk API is optimized for large-scale data loads.


NEW QUESTION # 150
Universal Containers (UC) is implementing its new Internet of Things technology, which consists of smart containers that provide information on container temperature and humidity updated every 10 minutes back to UC. There are roughly 10,000 containers equipped with this technology with the number expected to increase to 50,000 across the next five years. It is essential that Salesforce user have access to current and historical temperature and humidity data for each container. What is the recommended solution?

Answer: A

Explanation:
The recommended solution for Universal Containers (UC) to implement its new Internet of Things technology is to create a new Container Reading custom object with a master-detail relationship to Container which is created when a new measure is received for a specific container.
Implement an archiving process that runs every hour. This solution would allow UC to store and access current and historical temperature and humidity data for each container on Salesforce, and use reports and dashboards to analyze it. However, since UC expects a large volume of data over time, they should implement an archiving process that moves data off-platform after a certain period of time to avoid hitting the Org data storage limit and maintain optimal performance. The other options are not recommended, as they would either not store the historical data on Salesforce, or create too many custom fields on the Container object that could impact performance and usability.


NEW QUESTION # 151
Northern Trail Outfitters would like to report on the type of customers. A custom field for customer type was created in Account object. Users need to be limited to the following defined choices when entering information in this field:
1. High Value
2. Medium Value
3. Low Value
Which strategy should a data architect recommend to configure customer type?

Answer: A

Explanation:
Single-select restricted picklist with defined choices can be a way to configure customer type. The article states that picklists are fields that allow users to select one or more predefined values from a list, and restricted picklists ensure that users can only select from the defined values. This can help to limit the choices for customer type and ensure data quality.


NEW QUESTION # 152
Universal Containers has two systems. Salesforce and an on-premise ERP system. An architect has been tasked with copying Opportunity records to the ERP once they reach a Closed/Won Stage. The Opportunity record in the ERP system will be read-only for all fields copied in from Salesforce. What is the optimal real-time approach that achieves this solution?

Answer: C

Explanation:
Implementing a workflow rule that sends Opportunity data through Outbound Messaging is the optimal real-time approach that achieves the solution of copying Opportunity records to the ERP once they reach a Closed/Won Stage. A workflow rule can trigger an Outbound Message when an Opportunity record meets certain criteria, such as having a Closed/Won Stage. An Outbound Message can send data from Salesforce to an external system via SOAP API, without requiring any code. The external system can then process the data and create a read-only record in the ERP system. The other options are not optimal or real-time, as they would either require additional systems or tools, not provide real-time data synchronization, or not meet the frequency requirement


NEW QUESTION # 153
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