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Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Objectives
Data Integration	- Integration patterns in Salesforce - API-based integration approaches - ETL vs ELT strategies
Salesforce Data Model and Platform Capabilities	- Relationships and schema design - Standard and custom objects - Reporting and analytics considerations
Data Management	- Data quality management - Data governance principles - Master data management (MDM) concepts
Data Migration	- Data migration strategies and planning - Data cleansing and transformation
Data Architecture and Design	- Data modeling best practices in Salesforce - Conceptual and logical data modeling - Handling large data volume and scalability considerations

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Salesforce Certified Platform Data Architect Sample Questions (Q16-Q21):

NEW QUESTION # 16
Universal Containers is exporting 40 million Account records from Salesforce using Informatica Cloud. The ETL tool fails and the query log indicates a full table scan time-out failure. What is the recommended solution?

A. Modify the export query that includes standard index fields(s).
B. Modify the export job header to specify Sforce-Enable-PKChunking.
C. Modify the export query with LIMIT clause with Batch size 10,000.
D. Modify the export job header to specify Export-in-Parallel.

Answer: B

Explanation:
The Sforce-Enable-PKChunking header enables you to extract large data sets from Salesforce by using a technique called primary key (PK) chunking. PK chunking splits your query into multiple queries based on the record IDs of the queried object. This reduces the query time and avoids the query timeout issues that can occur with large data volumes

NEW QUESTION # 17
UC has the following system:
- Billing system.
- Customer support system.
- CRM system.
US has been having trouble with business intelligence across the different systems. Recently US implemented a master data management (MDM) solution that will be the system of truth for the customer records.
Which MDM data element is needed to allow reporting across these systems?

A. Email address.
B. Phone number.
C. Global unique customer number.
D. Full name.

Answer: C

Explanation:
The correct answer is A, global unique customer number. A global unique customer number is a data element that can uniquely identify each customer across different systems. It can be used as a key to link customer records from different sources and enable reporting across these systems.
Email address, phone number, and full name are not reliable or consistent identifiers for customers, as they can change over time or be shared by multiple customers.

NEW QUESTION # 18
Universal Containers (UC) is going thought major reorganization of their sales team. This would require changes to a large a number of group members and sharing rules. UCs administrator is concerned about long processing time and failure during the process. What should a Data architect implement to make changes efficiently?

A. Log a case with salesforce to make sharing rule changes.
B. Log out all users and make changes to sharing rules.
C. Delete old sharing rules and build new sharing rules
D. Enable Defer Sharing Calculation prior to making sharing rule changes.

Answer: D

Explanation:
The correct answer is B. To make changes efficiently, a data architect should enable Defer Sharing Calculation prior to making sharing rule changes. This will allow the administrator to make multiple changes to sharing rules without recalculating them after each change, which can take a long time and cause failures. The sharing rules can be recalculated later when there are fewer users online or during off-peak hours.

NEW QUESTION # 19
An Architect needs to document the data architecture for a multi-system, enterprise Salesforce implementation. Which two key artifacts should the Architect use? (Choose two.)

A. Integration specification
B. Data model
C. Non-functional requirements
D. User stories

Answer: A,B

Explanation:
Option B is correct because data model is a key artifact that an architect should use to document the data architecture for a multi-system, enterprise Salesforce implementation. Data model describes the structure and relationship of data entities within an organization. Option C is correct because integration specification is another key artifact that an architect should use to document the data architecture for a multi-system, enterprise Salesforce implementation. Integration specification defines the scope, requirements, design, testing, and deployment of integration solutions between Salesforce and other systems.

NEW QUESTION # 20
Universal Containers (UC) has an Application custom object, which has tens of millions of records created in the past 5 years. UC needs the last 5 years of data to exist in Salesforce at all times for reporting and queries. UC is currently encountering performance issues when reporting and running queries on this Object using date ranges as filters. Which two options can be used to improve report performance?

A. Add custom indexes to the Date fields used for filtering the report.
B. Add custom indexes to all fields on Application without a standard index.
C. Run multiple reports to get different pieces of the data and combine them.
D. Ask support to create a skinny table for Application with the necessary reporting fields.

Answer: A,D

Explanation:
Ask support to create a skinny table for Application with the necessary reporting fields. This is an option that can improve report performance by creating a custom table that contains frequently used fields and copies their values from standard or custom objects. Skinny tables are kept in sync with their source tables and are used in place of them for reports and queries. Add custom indexes to the Date fields used for filtering the report. This is another option that can improve report performance by creating custom indexes on fields that are often used as filters or join conditions in reports and queries. Custom indexes can speed up data retrieval and reduce query execution time

NEW QUESTION # 21
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