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Salesforce Plat-Arch-201 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Migration | - Data migration strategies and planning - Data cleansing and transformation |
| Topic 2: Data Management | - Data quality management - Data governance principles - Master data management (MDM) concepts |
| Topic 3: Data Architecture and Design | - Conceptual and logical data modeling - Data modeling best practices in Salesforce - Handling large data volume and scalability considerations |
| Topic 4: Data Integration | - ETL vs ELT strategies - API-based integration approaches - Integration patterns in Salesforce |
| Topic 5: Salesforce Data Model and Platform Capabilities | - Relationships and schema design - Standard and custom objects - Reporting and analytics considerations |
Salesforce Certified Platform Data Architect Sample Questions:
Question 1
Universal Containers (CU) is in the process of implementing an enterprise data warehouse (EDW). UC needs to extract 100 million records from Salesforce for migration to the EDW. What data extraction strategy should a data architect use for maximum performance?
A. Install a third-party AppExchange tool.
B. Use the Bulk API in parallel mode.
C. Utilize PK Chunking with the Bulk API.
D. Call the REST API in successive queries.
Question 2
Universal Container (UC) stores 10 million rows of inventory data in a cloud database, As part of creating a connected experience in Salesforce, UC would like to this inventory data to Sales Cloud without a import. UC has asked its data architect to determine if Salesforce Connect is needed. Which three consideration should the data architect make when evaluating the need for Salesforce Connect?
A. You need to expose data via a virtual private connection.
B. You need to small amounts of external data at any one time.
C. You have a large amount of data and would like to copy subsets of it into Salesforce.
D. You want real-time access to the latest data, from other systems.
E. You have a large amount of data that you don't want to copy into your Salesforce org.
Question 3
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?
A. Leverage data loader platform API to load data.
B. Perform Batch job in parallel mode and reduce Batch size
C. Perform Batch job in serial mode and reduce batch size
D. Defer roll-up summary fields calculation during data migration.
Question 4
Northern Trail Outfitters <NTO> is streaming IoT data from connected devices to a cloud database. Every 24 hours. 100,000 records are generated.
NIO employees will need to see these lol records within Salesforce and generate weekly reports on it. Developers may also need to write programmatic logic to aggregate the records and incorporate them into workflows.
Which data pattern will allow a data architect to satisfy these requirements, while also keeping limits in mind?
A. Virtualization
B. Unidirectional integration
C. Persistence
D. Bidirectional integration
Question 5
Universal Containers (UC) has over 10 million accounts with an average of 20 opportunities with each account. A Sales Executive at UC needs to generate a daily report for all opportunities in a specific opportunity stage. Which two key considerations should be made to make sure the performance of the report is not degraded due to large data volume?
A. Number of characters in report query.
B. Number of records returned by report query.
C. Number of queries running at a time.
D. Number of joins used in report query.
Solutions:
| Question 1 Answer: C | Question 2 Answer: B,D,E | Question 3 Answer: C | Question 4 Answer: C | Question 5 Answer: B,D |
