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For starters and professionals Salesforce Certified Platform Data Architect play a significant role to verify skills, experience, and knowledge in a specific technology. Enrollment in the Salesforce Certified Platform Data Architect Plat-Arch-201 is open to everyone. Upon completion of Salesforce Certified Platform Data Architect Plat-Arch-201 Exam Questions' particular criteria. Participants in the Plat-Arch-201 Questions come from all over the world and receive the credentials for the Salesforce Certified Platform Data Architect Plat-Arch-201 Questions. They can quickly advance their careers in the fiercely competitive market and benefit from certification after earning the Plat-Arch-201 Questions badge. However, passing the Salesforce Certified Platform Data Architect Plat-Arch-201 is the primary concern.

Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Migration15%- Migration strategy and planning
  • 1. Assessment, mapping, validation and rollback planning
- Data quality and validation
  • 1. Cleaning, deduplication and post-migration verification
- Migration execution and tools
  • 1. Data loader, ETL tools and bulk API usage
Topic 2: 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
Topic 3: 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. Scalable design aligned with security and sharing model
  • 2. Objects, fields, relationships and object features
- 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
Topic 4: 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 5: Master Data Management5%- Golden record and system of truth
  • 1. Establishing single source of truth in single org
- MDM implementation approaches
  • 1. Harmonization, consolidation, survivorship rules and thresholds
  • 2. Canonical modeling and hierarchy management
Topic 6: 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

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Salesforce Certified Platform Data Architect Sample Questions (Q42-Q47):

NEW QUESTION # 42
What 2 data management policies does the data classification feature allow customers to classify in salesforce? Choose 2 answer

Answer: A,B

Explanation:
The data classification feature allows customers to classify their data in Salesforce based on two policies:
Data sensitivity level: This policy defines how sensitive the data is and what level of protection it requires. For example, high sensitivity data may require encryption or masking.
Compliance categorization policy: This policy defines how the data is regulated by various laws and standards. For example, GDPR or PCI DSS.


NEW QUESTION # 43
Universal Containers has multiple systems all containing and maintaining customer data.
Although point-to-point integrations are in place, customers are complaining about consistency in the data. What solution should the data architect recommend?

Answer: D

Explanation:
Master data management (MDM) is a solution that helps organizations manage their master data across multiple systems and ensure consistency and quality. An MDM solution can act as the customer master, with centralized integrations to other systems, to avoid data duplication and inconsistency.


NEW QUESTION # 44
Universal Containers (UC) is in the process of migrating legacy inventory data from an enterprise resources planning (ERP) system into Sales Cloud with the following requirements:
- Legacy inventory data will be stored in a custom child object called
Inventory_c.
- Inventory data should be related to the standard Account object.
- The Inventory object should Invent the same sharing rules as the
Account object.
- Anytime an Account record is deleted in Salesforce, the related
Inventory_c record(s) should be deleted as well.
What type of relationship field should a data architect recommend in this scenario?

Answer: C

Explanation:
According to the Salesforce documentation, a relationship field is a field that allows linking one object to another object in Salesforce. There are different types of relationship fields that have different characteristics and behaviors, such as master-detail, lookup, indirect lookup, external lookup, etc.
To recommend a type of relationship field for this scenario, where legacy inventory data will be stored in a custom child object called Inventory__c, inventory data should be related to the standard Account object, the Inventory__c object should inherit the same sharing rules as the Account object, and anytime an Account record is deleted in Salesforce, the related Inventory__c record(s) should be deleted as well, a data architect should recommend:
Master-detail relationship field on Inventory__c, related to Account (option B). This means creating a field on the Inventory__c object that references the Account object as its parent. A master-detail relationship field establishes a parent-child relationship between two objects, where the parent object controls certain behaviors of the child object. For example, a master-detail relationship field can:
Inherit the sharing and security settings from the parent object to the child object. This means that the users who can access and edit the parent record can also access and edit the related child records.
Cascade delete from the parent object to the child object. This means that when a parent record is deleted, all the related child records are also deleted.
Roll up summary fields from the child object to the parent object. This means that the parent object can display aggregated information from the child records, such as count, sum, min, max, or average.


NEW QUESTION # 45
What happens when a lookup relationship parent is deleted?

Answer: A

Explanation:
Lookup relationships do NOT enforce cascade delete.


NEW QUESTION # 46
Cloud Kicks needs to purge detailed transactional records from Salesforce. The data should be aggregated at a summary level and available in Salesforce. What are two automated approaches to fulfill this goal? (Choose two.)

Answer: A,B

Explanation:
Both A and B are automated approaches to purge detailed transactional records from Salesforce and aggregate them at a summary level. You can use a third-party integration tool (ETL) or schedulable batch Apex to perform these tasks.


NEW QUESTION # 47
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