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Salesforce Plat-Arch-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Large Data Volumes | 20% | - Describe the implications of LDV on data modeling - Describe the features and best practices for LDV - Describe the considerations for Large Data Volumes (LDV) |
| Data Modeling/Database Design | 25% | - Describe the implications of LDV on data modeling - Describe the options and considerations for Large Data Volumes (LDV) - Describe the considerations when designing a data model for Salesforce - Explain the usage of external objects |
| Data Migration | 15% | - Describe the implications of data migration on data quality - Describe the tools and best practices for data migration - Describe the considerations for data migration |
| Master Data Management | 5% | - Describe the methods for aligning data across systems - Describe the considerations for a Master Data Management strategy |
| Data Governance | 10% | - Describe the considerations for data classification - Describe the considerations for data quality - Describe the elements of a data governance framework |
| Salesforce Data Management | 25% | - Describe the implications of LDV on data management - Describe the considerations for data migration - Describe the considerations for data archival - Describe the considerations for data governance |
Salesforce Certified Platform Data Architect Sample Questions:
1. North Trail Outfitters (NTO) operates a majority of its business from a central Salesforce org, NTO also owns several secondary orgs that the service, finance, and marketing teams work out of, At the moment, there is no integration between central and secondary orgs, leading to data- visibility issues.
Moving forward, NTO has identified that a hub-and-spoke model is the proper architect to manage its data, where the central org is the hub and the secondary orgs are the spokes.
Which tool should a data architect use to orchestrate data between the hub org and spoke orgs?
A) A backup and archive solution that extracts and restores data across orgs.
B) Develop custom APIs to poll the spoke for change data and push into the org.
C) Develop custom APIs to poll the hub org for change data and push into the spoke orgs.
D) A middleware solution that extracts and distributes data across both the hub and spokes.
2. DreamHouse Realty has a Salesforce org that is used to manage Contacts. What are two things an Architect should consider using to maintain data quality in this situation? (Choose two.)
A) Use validation rules on new record create and edit.
B) Use Salesforce duplicate management.
C) Use workflow to delete duplicate records.
D) Use the private sharing model.
3. Universal Containers has provided a web order form for its customer and has noticed invalid data coming in on orders. What should be used to mitigate this problem?
A) Work Flow Rules
B) Validation Rules
C) Formatted Fields
D) Apex Trigger
4. UC has to built a B2C ecommerce site on Heroku that shares customer and order data with a Heroku Postgres database. UC is currently utilizing Postgres as the single source of truth for both customers and orders. UC has asked a data architect to replicate the data into salesforce so that salesforce can now act as the system of record. What are the 3 considerations that data architect should weigh before implementing this requirement? Choose 3 answer
A) Consider whether the data is required for sales reports, dashboards and KPI's.
B) Ensure there is a tight relationship between order data and an enterprise resource plaining (ERP) application.
C) Determine if the data is driver of key process implemented within salesforce.
D) A selection of the tool required to replicate the data.
E) Ensure the data is CRM center and able to populate standard of custom objects.
F) Heroku Connect is required but this is confusing
5. UC developers have created a new lightning component that uses an Apex controller using a SOQL query to populate a custom list view. Users are complaining that the component often fails to load and returns a time-out error. What tool should a data architect use to identify why the query is taking too long?
A) Open a ticket with salesforce support to retrieve transaction logs to e analyzed for processing time.
B) Enable and use the query plan tool in the developer console.
C) Use salesforce's query optimizer to analyze the query in the developer console.
D) Use Splunk to query the system logs looking for transaction time and CPU usage.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A,B | Question # 3 Answer: B | Question # 4 Answer: B,C,D | Question # 5 Answer: B |



