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Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
Data Integration20%- External data sources
  • 1. External Objects, OData and virtual data access
- Data synchronization and consistency
  • 1. Conflict resolution, data consistency and idempotency
- Integration patterns and technologies
  • 1. APIs, middleware and external systems integration
  • 2. Synchronous vs asynchronous, batch vs real-time
Master Data Management5%- MDM implementation approaches
  • 1. Canonical modeling and hierarchy management
  • 2. Harmonization, consolidation, survivorship rules and thresholds
- Golden record and system of truth
  • 1. Establishing single source of truth in single org
Data Modeling and Database Design25%- Metadata management
  • 1. Business dictionary, data lineage, taxonomy and classification
- Data model design for Customer 360
  • 1. Scalable design aligned with security and sharing model
  • 2. Objects, fields, relationships and object features
- Data skew prevention
  • 1. Avoid record locking, sharing issues and excessive parent-child relationships
- Object type selection
  • 1. Standard/custom objects vs Big Objects: use cases, pros and cons
Large Data Volumes and Performance20%- Storage and scalability planning
  • 1. Data volume growth planning and storage limits
- LDV architecture design
  • 1. Data distribution, archiving and partitioning strategies
- Query and performance optimization
  • 1. Indexing, selective queries and avoiding performance bottlenecks
Data Governance, Quality and Security15%- Data quality management
  • 1. Profiling, monitoring, cleansing and enrichment
- Data security and compliance
  • 1. Access control, encryption, compliance and audit
- Data governance framework
  • 1. Policies, standards, ownership and stewardship
Data Migration15%- Migration strategy and planning
  • 1. Assessment, mapping, validation and rollback planning
- Migration execution and tools
  • 1. Data loader, ETL tools and bulk API usage
- Data quality and validation
  • 1. Cleaning, deduplication and post-migration verification

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Salesforce Certified Platform Data Architect Sample Questions (Q180-Q185):

NEW QUESTION # 180
Universal Containers (UC) is migrating from a legacy system to Salesforce CRM, UC is concerned about the quality of data being entered by users and through external integrations.
Which two solutions should a data architect recommend to mitigate data quality issues?

Answer: A,B

Explanation:
According to the Salesforce documentation, data quality is the measure of how well the data in Salesforce meets the expectations and requirements of the users and stakeholders. Data quality can be affected by various factors, such as data entry errors, data duplication, data inconsistency, data incompleteness, data timeliness, etc. To mitigate data quality issues, some of the recommended solutions are:
Leverage picklist and lookup fields where possible (option A). This means using fields that restrict the values or references that can be entered by the users or integrations. This can help reduce data entry errors, enforce data consistency, and improve data accuracy.
Leverage validation rules and workflows (option C). This means using features that allow defining ules and criteria to validate the data that is entered or updated by the users or integrations. This can help prevent invalid or incorrect data from being saved, and trigger actions or alerts to correct or improve the data.


NEW QUESTION # 181
Which field is automatically indexed?

Answer: C

Explanation:
Salesforce automatically indexes primary keys.


NEW QUESTION # 182
Get Cloudy Consulting is migrating their legacy system's users and data to Salesforce. They will be creating 15,000 users, 1.5 million Account records, and 15 million Invoice records. The visibility of these records is controlled by a 50 owner and criteria-based sharing rules. Get Cloudy Consulting needs to minimize data loading time during this migration to a new organization.
Which two approaches will accomplish this goal? (Choose two.)

Answer: C,D

Explanation:
Creating the users, uploading all data, and then deploying the sharing rules will reduce the number of sharing recalculations that occur during the data load. Deferring sharing calculations until the data has finished uploading will also improve the performance by postponing the sharing rule evaluation. These are the recommended best practices for loading large data sets into Salesforce


NEW QUESTION # 183
What ensures referential integrity?

Answer: A

Explanation:
Relationships ensure valid connections between records.


NEW QUESTION # 184
A large retail B2C customer wants to build a 360 view of its customer for its call center agents.
The customer interaction is currently maintained in the following system:
1. Salesforce CRM
2. Custom billing solution
3. Customer Master Data management (MDM)
4. Contract Management system
5. Marketing solution
What should a data architect recommend that would help upgrade uniquely identify customer across multiple systems:

Answer: B

Explanation:
To help uniquely identify customer across multiple systems, a data architect should recommend creating a custom field as external ID to maintain the customer ID from the MDM solution. An external ID is a custom field that has the "External ID" attribute enabled, which means that it contains unique record identifiers from a system outside of Salesforce. By using the customer ID from the MDM solution as an external ID in Salesforce CRM, Contract Management system, and Marketing solution, the data architect can ensure that each customer can be easily identified and integrated across these systems.


NEW QUESTION # 185
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