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Salesforce Plat-Arch-201 Exam Syllabus Topics:

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

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Salesforce Certified Platform Data Architect Sample Questions (Q225-Q230):

NEW QUESTION # 225
Universal Containers (UC) loads bulk leads and campaigns from third-party lead aggregators on a weekly and monthly basis. The expected lead record volume is 500K records per week, and the expected campaign records volume is 10K campaigns per week. After the upload, Lead records are shared with various sales agents via sharing rules and added as Campaign members via Apex triggers on Lead creation. UC agents work on leads for 6 months, but want to keep the records in the system for at least 1 year for reference. Compliance requires them to be stored for a minimum of 3 years. After that, data can be deleted. What statement is true with respect to a data archiving strategy for UC?

Answer: C

Explanation:
Leveraging a "tier"-based approach to classify the record storage need is a true statement with respect to a data archiving strategy for UC. This approach involves defining different tiers of data based on their usage, value, and retention policies, and then applying appropriate storage and archiving solutions for each tier.


NEW QUESTION # 226
Which factor impacts query selectivity the most?

Answer: C

Explanation:
Selectivity depends on how many records match the filter.


NEW QUESTION # 227
Universal Containers (UC) has 1,000 accounts and 50,000 opportunities. UC has an enterprise security requirement to export all sales data outside of Salesforce on a weekly basis. The security requirement also calls for exporting key operational data that includes events such as file downloads, logins, logouts, etc. Which two recommended approaches would address the above requirement?

Answer: A,B

Explanation:
Using Weekly Export to extract transactional data to on-premise systems and using Event Monitoring to extract event data to on-premise systems are two recommended approaches that would address the security requirement of UC. Weekly Export is a built-in feature that allows UC to download a zip file of their Salesforce data on a weekly basis. Event Monitoring is a tool that allows UC to access detailed information about various events that occur in their Salesforce org, such as logins, logouts, file downloads, etc.


NEW QUESTION # 228
Universal Containers is establishing a call center that will use Salesforce. UC receives 10 million calls and creates 100 million cases every month. Cases are linked to a custom call object using lookup relationship. UC would like to run reports and dashboard to better understand different case types being created on calls to better serve customers. What solution should a data architect recommend to meet the business requirement?

Answer: A

Explanation:
According to this article, big objects can store and manage massive amounts of data on the Salesforce platform. This can help UC to archive records from other objects or bring massive datasets from outside systems into a big object. According to this article, Einstein Analytics can be used to create dashboards and lenses to analyze big object data and get insights from advanced AI-driven analytics.


NEW QUESTION # 229
Universal Containers (UC) is concerned about the accuracy of their Customer information in Salesforce. They have recently created an enterprise-wide trusted source MDM for Customer data which they have certified to be accurate. UC has over 20 million unique customer records in the trusted source and Salesforce. What should an Architect recommend to ensure the data in Salesforce is identical to the MDM?

Answer: C

Explanation:
Using an AppExchange package for Data Quality is a good way to match Salesforce data against a trusted source, such as an MDM system. You can use tools like Cloudingo, DupeCatcher, or DemandTools to identify and merge duplicate records, standardize data formats, and enrich data with external sources


NEW QUESTION # 230
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