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Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Large Data Volumes and Performance20%- LDV architecture design
  • 1. Data distribution, archiving and partitioning strategies
- Storage and scalability planning
  • 1. Data volume growth planning and storage limits
- Query and performance optimization
  • 1. Indexing, selective queries and avoiding performance bottlenecks
Topic 2: Data Migration15%- Migration execution and tools
  • 1. Data loader, ETL tools and bulk API usage
- Migration strategy and planning
  • 1. Assessment, mapping, validation and rollback planning
- Data quality and validation
  • 1. Cleaning, deduplication and post-migration verification
Topic 3: Data Integration20%- External data sources
  • 1. External Objects, OData and virtual data access
- Integration patterns and technologies
  • 1. APIs, middleware and external systems integration
  • 2. Synchronous vs asynchronous, batch vs real-time
- Data synchronization and consistency
  • 1. Conflict resolution, data consistency and idempotency
Topic 4: Data Governance, Quality and Security15%- Data quality management
  • 1. Profiling, monitoring, cleansing and enrichment
- Data governance framework
  • 1. Policies, standards, ownership and stewardship
- Data security and compliance
  • 1. Access control, encryption, compliance and audit
Topic 5: 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
Topic 6: Data Modeling and Database Design25%- Data skew prevention
  • 1. Avoid record locking, sharing issues and excessive parent-child relationships
- Data model design for Customer 360
  • 1. Objects, fields, relationships and object features
  • 2. Scalable design aligned with security and sharing model
- Object type selection
  • 1. Standard/custom objects vs Big Objects: use cases, pros and cons
- Metadata management
  • 1. Business dictionary, data lineage, taxonomy and classification

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Salesforce Certified Platform Data Architect Sample Questions (Q237-Q242):

NEW QUESTION # 237
Universal Containers (UC) is a major supplier of office supplies. Some products are produced by UC and some by other manufacturers. Recently, a number of customers have complained that product descriptions on the invoices do not match the descriptions in the online catalog and on some of the order confirmations (e.g., "ballpoint pen" in the catalog and "pen" on the invoice, and item color labels are inconsistent: "what vs. "White" or "blk" vs. "Black"). All product data is consolidated in the company data warehouse and pushed to Salesforce to generate quotes and invoices. The online catalog and webshop is a Salesforce Customer Community solution. What is a correct technique UC should use to solve the data inconsistency?

Answer: C

Explanation:
A correct technique UC should use to solve the data inconsistency is to define a data taxonomy for product data and apply the taxonomy to the product data in the data warehouse. A data taxonomy is a hierarchical classification of data entities and attributes that defines their meaning, format, and relationships. A data taxonomy can help ensure consistency, accuracy, and completeness of product data across different systems and channels


NEW QUESTION # 238
UC has millions of Cases and are running out of storage. Some user groups need to have access to historical cases for up to 7 years. Which 2 solutions should a data architect recommend in order to minimize performance and storage issues? Choose 2 answer

Answer: B,D

Explanation:
The correct answer is C and D. To minimize performance and storage issues, a data architect should recommend leveraging on premise data archival and building integration to view archived data, and leveraging big object to archive case data and lightning components to show archived data. These solutions will allow some user groups to access historical cases for up to 7 years without consuming too much storage space or affecting the performance of queries and reports.


NEW QUESTION # 239
Universal Containers (UC) has users complaining about reports timing out or simply taking too long to run What two actions should the data architect recommend to improve the reporting experience? Choose 2 answer

Answer: C,D

Explanation:
Indexing key fields used in report criteria can speed up the query execution and reduce the report run time. Indexes can be created by Salesforce automatically or manually by request. Creating one skinny table per report can also improve the reporting performance by storing frequently used fields in a separate table that does not include complex formulas or joins.


NEW QUESTION # 240
Universal Containers (UC) has deployed Salesforce to manage Marketing. Sales, and Support efforts in a multi-system ERP environment After reaching the limits of native reports & dashboards. UC leadership is looking to understand what options can be used to provide more analytical insights. What two approaches should an architect recommend? Choose 2 answer

Answer: B,D

Explanation:
According to the exam guide, one of the objectives is to "describe the use cases and considerations for using AppExchange apps and Wave Analytics". This implies that options A and B are both valid approaches to provide more analytical insights.


NEW QUESTION # 241
Which factor impacts query selectivity the most?

Answer: C

Explanation:
Selectivity depends on how many records match the filter.


NEW QUESTION # 242
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