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Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Integration20%- 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
- External data sources
  • 1. External Objects, OData and virtual data access
Topic 2: Data Modeling and Database Design25%- Metadata management
  • 1. Business dictionary, data lineage, taxonomy and classification
- 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
Topic 3: 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 4: Large Data Volumes and Performance20%- LDV architecture design
  • 1. Data distribution, archiving and partitioning strategies
- Query and performance optimization
  • 1. Indexing, selective queries and avoiding performance bottlenecks
- Storage and scalability planning
  • 1. Data volume growth planning and storage limits
Topic 5: 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
Topic 6: Data Governance, Quality and Security15%- Data security and compliance
  • 1. Access control, encryption, compliance and audit
- Data quality management
  • 1. Profiling, monitoring, cleansing and enrichment
- Data governance framework
  • 1. Policies, standards, ownership and stewardship

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Salesforce Certified Platform Data Architect Sample Questions (Q250-Q255):

NEW QUESTION # 250
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.)

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 # 251
Northern trail Outfitters (NTO) uses Sales Cloud and service Cloud to manage sales and support processes. Some of NTOs team are complaining they see new fields on their page unsure of which values need be input. NTO is concerned about lack of governance in making changes to Salesforce. Which governance measure should a data architect recommend to solve this issue?

Answer: A

Explanation:
To solve the issue of lack of governance in making changes to Salesforce, a data architect should recommend creating and managing a data dictionary and setting up a governance process for changes made to common objects. A data dictionary is a document that defines the metadata, structure, and relationship of each object and field in Salesforce. A governance process is a set of rules and procedures that govern how changes are proposed, reviewed, approved, and deployed in Salesforce. These measures will help NTO to maintain consistency, quality, and clarity of their data model and avoid confusion and errors among users.


NEW QUESTION # 252
Northern Trail Outfitters is concerned because some of its data is sensitive and needs to be identified for access. What should be used to provide ways to filter and identify the sensitive data?

Answer: C

Explanation:
According to the official Salesforce guide, data classification metadata is a feature that allows administrators to classify data fields based on their sensitivity level, such as confidential, restricted, or general. Data classification metadata can be used to filter and identify sensitive data fields and apply appropriate security measures, such as encryption, masking, or auditing. Option D is the correct answer because it suggests using data classification metadata to provide ways to filter and identify sensitive data.


NEW QUESTION # 253
Which two best practices should be followed when using SOSL for searching?

Answer: A,B

Explanation:
The two best practices that should be followed when using SOSL for searching are: Keep searches specific and avoid wildcards where possible. Use Find in "ALL FIELDS" for faster searches. These best practices are helpful because they optimize the search performance and relevance. For example, keeping searches specific and avoiding wildcards where possible can reduce the number of results returned and improve the search accuracy. Using Find in "ALL FIELDS" for faster searches can leverage Salesforce's pre-defined indexes on common fields and return results more quickly than specifying individual fields.


NEW QUESTION # 254
What ensures referential integrity?

Answer: B

Explanation:
Relationships ensure valid connections between records.


NEW QUESTION # 255
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