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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 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
- 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
Topic 3: 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 4: 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 5: 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 6: Data Integration20%- Integration patterns and technologies
  • 1. Synchronous vs asynchronous, batch vs real-time
  • 2. APIs, middleware and external systems integration
- External data sources
  • 1. External Objects, OData and virtual data access
- Data synchronization and consistency
  • 1. Conflict resolution, data consistency and idempotency

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Salesforce Certified Platform Data Architect Sample Questions (Q228-Q233):

NEW QUESTION # 228
Universal Containers (UC) is using Salesforce Sales & Service Cloud for B2C sales and customer service but they are experiencing a lot of duplicate customers in the system. Which are two recommended approaches for UC to avoid duplicate data and increase the level of data quality?

Answer: A,B

Explanation:
Using Duplicate Management and Data.com Clean are two recommended approaches for UC to avoid duplicate data and increase the level of data quality. Duplicate Management can prevent or alert users when they try to create or edit records that are duplicates of existing records.
Data.com Clean can compare Salesforce records with Data.com records and provide suggestions for updates or removals of duplicate records.


NEW QUESTION # 229
Universal Containers wants to automatically archive all inactive Account data that is older than 3 years. The information does not need to remain accessible within the application. Which two methods should be recommended to meet this requirement? Choose 2 answer

Answer: B,D

Explanation:
Both C and D are valid methods to automatically archive and delete inactive Account data that is older than 3 years. You can use an ETL tool or the Data Loader to schedule jobs to export and delete data based on certain criteria.


NEW QUESTION # 230
Universal Container has a Sales Cloud implementation for a sales team and an enterprise resource planning (ERP) as a customer master Sales team are complaining about duplicate account and data quality issues with account data. Which two solutions should a data architect recommend to resolve the complaints?

Answer: C,D

Explanation:
Integrating Salesforce with ERP and making ERP the system of truth (option B) and implementing a de-dupe solution and establishing account ownership in Salesforce (option D) are the two solutions that a data architect should recommend to resolve the complaints. Option B ensures that account data is consistent and accurate across both systems, while option D prevents duplicate records and clarifies who owns each account in Salesforce.


NEW QUESTION # 231
Universal Containers has received complaints that customers are being called by multiple Sales Reps where the second Sales Rep that calls is unaware of the previous call by their coworker.
What is a data quality problem that could cause this?

Answer: B

Explanation:
A data quality problem that could cause customers to be called by multiple Sales Reps is having duplicate Contact records in the system. Duplicate records can result from data entry errors, data imports, or integrations with other systems. Duplicate records can lead to confusion, inefficiency, and customer dissatisfaction.


NEW QUESTION # 232
Universal Containers (UC) is building a Service Cloud call center application and has a multisystem support solution. UC would like or ensure that all systems have access to the same customer information. What solution should a data architect recommend?

Answer: B

Explanation:
A master data management (MDM) strategy for customer data can help UC ensure that all systems have access to the same customer information, without loading or duplicating data in all systems. An MDM strategy can also help UC avoid data conflicts and inconsistencies that may arise from having multiple systems as owners of data.


NEW QUESTION # 233
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