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Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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
Topic 2: Data Migration15%- Data quality and validation
  • 1. Cleaning, deduplication and post-migration verification
- Migration execution and tools
  • 1. Data loader, ETL tools and bulk API usage
- Migration strategy and planning
  • 1. Assessment, mapping, validation and rollback planning
Topic 3: Master Data Management5%- MDM implementation approaches
  • 1. Harmonization, consolidation, survivorship rules and thresholds
  • 2. Canonical modeling and hierarchy management
- Golden record and system of truth
  • 1. Establishing single source of truth in single org
Topic 4: Data Modeling and Database Design25%- Object type selection
  • 1. Standard/custom objects vs Big Objects: use cases, pros and cons
- Data model design for Customer 360
  • 1. Objects, fields, relationships and object features
  • 2. Scalable design aligned with security and sharing model
- Data skew prevention
  • 1. Avoid record locking, sharing issues and excessive parent-child relationships
- Metadata management
  • 1. Business dictionary, data lineage, taxonomy and classification
Topic 5: 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. Synchronous vs asynchronous, batch vs real-time
  • 2. APIs, middleware and external systems integration
Topic 6: Large Data Volumes and Performance20%- Query and performance optimization
  • 1. Indexing, selective queries and avoiding performance bottlenecks
- Storage and scalability planning
  • 1. Data volume growth planning and storage limits
- LDV architecture design
  • 1. Data distribution, archiving and partitioning strategies

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Salesforce Certified Platform Data Architect Sample Questions (Q143-Q148):

NEW QUESTION # 143
The head of sales at Get Cloudy Consulting wants to understand key relevant performance figures and help managers take corrective actions where appropriate. What is one reporting option Get Cloudy Consulting should consider?

Answer: B

Explanation:
A Sales KPI Dashboard is one reporting option that Get Cloudy Consulting should consider to understand key relevant performance figures and help managers take corrective actions where appropriate. A Sales KPI Dashboard can display various metrics that indicate the health and effectiveness of the sales team, such as quota attainment, pipeline value, win rate, average deal size, sales cycle length, and more. A Sales KPI Dashboard can also help identify trends, patterns, and areas for improvement.


NEW QUESTION # 144
Northern Trail Outfitters (NTO) has an external product master system that syncs product and pricing information with Salesforce. Users have been complaining that they are seeing discrepancies in product and pricing information displayed on the NTO website and Salesforce.
As a data architect, which action is recommended to avoid data sync issues?

Answer: D

Explanation:
According to Trailhead, Customer 360 Data Manager is a feature that allows administrators to connect, reconcile, and share customer data across Salesforce orgs and external systems.
Customer 360 Data Manager can sync product and pricing information from product master database to Salesforce using predefined mappings and rules, ensuring data quality and consistency. Option D is the correct answer because it suggests using Customer 360 Data Manager to sync product and pricing information from product master database to Salesforce.


NEW QUESTION # 145
Universal Containers (UC) is migrating from an on-premise homegrown customer relationship management (CRM) system. During analysis, UC users highlight a pain point that there are multiple versions of many customers. What should the data architect do for a successful migration to mitigate the pain point?

Answer: B

Explanation:
Storing the data in a staging database and de-duplicating identical records (option D) is the best solution for a successful migration to mitigate the pain point, as it allows the data architect to identify and merge duplicate customers before they are imported into Salesforce.


NEW QUESTION # 146
A health care provider wishes to use salesforce to track patient care. The following actions are in Salesforce
1. Payment Providers: Orgas who pay for the care 2 patients.
2. Doctors: They provide care plan for patients and need to support multiple patients, they are provided access to patient information.
3. Patients: They are individuals who need care.
A data architect needs to map the actor to Sf objects. What should be the optimal selection by the data architect?

Answer: B

Explanation:
Patients as Person Accounts, Payment providers as Accounts, & Doctors as Person Accounts is the optimal selection by the data architect to map the actor to Salesforce objects. This is because Person Accounts are a special type of accounts that can store both business and personal information for individual customers. Payment providers are organizations that pay for the care of patients, so they can be modeled as Accounts. Doctors are also individuals who provide care plans for patients and need access to patient information, so they can also be modeled as Person Accounts.


NEW QUESTION # 147
A custom pricing engine for a Salesforce customer has to be decided by factors with the following hierarchy:
- State in which the customer is located
- City in which the customer is located if available
- Zip code in which the customer is located if available
- Changes to this information should have minimum code changes
What should a data architect recommend to maintain this information for the custom pricing engine that is to be built in Salesforce?

Answer: D

Explanation:
According to the Get Started with Custom Metadata Types unit on Trailhead, one of the use cases for custom metadata types is to define custom charges for an accounting app. The unit states that "Say that your org uses a standard accounting app. You can create a custom metadata type that defines custom charges, like duties and VAT rates. Then you can write some Apex code that calculates the total amount due for each invoice by using the metadata from your custom metadata type." Therefore, a similar approach can be used to maintain the pricing criteria for a custom pricing engine in Salesforce.


NEW QUESTION # 148
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