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Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
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
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
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
Data Modeling and Database Design25%- Metadata management
  • 1. Business dictionary, data lineage, taxonomy and classification
- 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
- Data skew prevention
  • 1. Avoid record locking, sharing issues and excessive parent-child relationships
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
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

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Salesforce Certified Platform Data Architect Sample Questions (Q180-Q185):

NEW QUESTION # 180
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: B

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 # 181
Universal Containers has provided a web order form for its customer and has noticed invalid data coming in on orders. What should be used to mitigate this problem?

Answer: C

Explanation:
Using validation rules to mitigate this problem is the best option. Validation rules can help you prevent invalid data from being entered in your web order form. You can use validation rules to check for data quality, format, range, or consistency. For example, you can use validation rules to ensure that the order quantity is positive, the product code is valid, or the shipping address is complete.


NEW QUESTION # 182
Universal Containers (UC) has a Salesforce org with multiple automated processes defined for group membership processing, UC also has multiple admins on staff that perform manual adjustments to the role hierarchy. The automated tasks and manual tasks overlap daily, and UC is experiencing "lock errors" consistently. What should a data architect recommend to mitigate these errors?

Answer: D

Explanation:
Enabling granular locking (option A) is the best recommendation to mitigate these errors, as it allows finer control over how records are locked during automated or manual processes, and reduces the chances of lock contention or deadlock.


NEW QUESTION # 183
NTO uses salesforce to manage relationships and track sales opportunities. It has 10 million customers and 100 million opportunities. The CEO has been complaining 10 minutes to run and sometimes failed to load, throwing a time out error. Which 3 options should help improve the dashboard performance? Choose 3 answer

Answer: C,D,E

Explanation:
To improve the dashboard performance, the data architect should use selective queries to reduce the amount of data being returned, de-normalize the data by reducing the number of joins, and reduce the amount of data queried by archiving unused opportunity records. These options will help optimize the query performance, reduce the query complexity, and free up storage space.


NEW QUESTION # 184
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: C

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 # 185
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