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Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Migration15%- Migration execution and tools
  • 1. Data loader, ETL tools and bulk API usage
- Data quality and validation
  • 1. Cleaning, deduplication and post-migration verification
- Migration strategy and planning
  • 1. Assessment, mapping, validation and rollback planning
Topic 2: Data Integration20%- External data sources
  • 1. External Objects, OData and virtual data access
- Integration patterns and technologies
  • 1. Synchronous vs asynchronous, batch vs real-time
  • 2. APIs, middleware and external systems integration
- Data synchronization and consistency
  • 1. Conflict resolution, data consistency and idempotency
Topic 3: Data Governance, Quality and Security15%- Data governance framework
  • 1. Policies, standards, ownership and stewardship
- Data security and compliance
  • 1. Access control, encryption, compliance and audit
- Data quality management
  • 1. Profiling, monitoring, cleansing and enrichment
Topic 4: 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. Scalable design aligned with security and sharing model
  • 2. Objects, fields, relationships and object features
- Data skew prevention
  • 1. Avoid record locking, sharing issues and excessive parent-child relationships
Topic 5: 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 6: Master Data Management5%- Golden record and system of truth
  • 1. Establishing single source of truth in single org
- MDM implementation approaches
  • 1. Canonical modeling and hierarchy management
  • 2. Harmonization, consolidation, survivorship rules and thresholds

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

NEW QUESTION # 42
What makes Skinny tables fast? Choose three answer

Answer: A,B,E

Explanation:
Skinny tables are custom tables that contain frequently used fields from a standard or custom object. They are used to improve performance by reducing the number of database joins required for queries. Skinny tables have the following characteristics:
They do not include soft-deleted records, which means they only contain active records and save space.
They avoid resource intensive joins by storing data from multiple objects in one table, which reduces the query time and complexity.
Their tables are kept in sync with their source tables when the source tables are modified, which ensures data consistency and accuracy.


NEW QUESTION # 43
Due to security requirements, Universal Containers needs to capture specific user actions, such as login, logout, file attachment download, package install, etc. What is the recommended approach for defining a solution for this requirement?

Answer: B

Explanation:
Event Monitoring is a feature that allows you to track user actions, such as logins, logouts, downloads, etc., in your Salesforce org. You can use Event Monitoring to monitor performance, usage, security, and compliance


NEW QUESTION # 44
Universal Containers (UC) has lead assignment rules to assign leads to owners. Leads not routed by assignment rules are assigned to a dummy user. Sales rep are complaining of high load times and issues with accessing leads assigned to the dummy user. What should a data architect recommend to solve these performance issues?

Answer: C

Explanation:
According to the official Salesforce guide, assigning leads to a single dummy user can cause performance issues and data skew, especially if the dummy user owns more than 10,000 records. Data skew occurs when a single user or a small number of users own a disproportionately large number of records, which can affect query performance and sharing calculations. Option B is the correct answer because it suggests creating multiple dummy users and assigning leads to them, which can distribute the load and reduce data skew.


NEW QUESTION # 45
Universal Container (UC) stores 10 million rows of inventory data in a cloud database, As part of creating a connected experience in Salesforce, UC would like to this inventory data to Sales Cloud without a import. UC has asked its data architect to determine if Salesforce Connect is needed. Which three consideration should the data architect make when evaluating the need for Salesforce Connect?

Answer: A,D,E

Explanation:
The correct answer is A, D, and E. The data architect should consider these three factors when evaluating the need for Salesforce Connect: You want real-time access to the latest data from other systems, you have a large amount of data that you don't want to copy into your Salesforce org, and you need to small amounts of external data at any one time. These factors indicate that Salesforce Connect is a suitable solution for creating a connected experience in Salesforce without importing inventory data from a cloud database. Salesforce Connect allows Salesforce to access external data via OData or custom adapters without storing it in Salesforce, which reduces storage costs and ensures data freshness. Salesforce Connect also supports pagination and caching to optimize performance when accessing small amounts of external data at any one time.


NEW QUESTION # 46
UC is using SF CRM. UC sales managers are complaining about data quality and would like to monitor and measure data quality. Which 2 solutions should a data architect recommend to monitor and measure data quality? Choose 2 answer

Answer: C,D

Explanation:
Reviewing data quality reports and dashboards and installing and running data quality analysis dashboard app are two solutions that can help monitor and measure data quality. Data quality reports and dashboards can provide insights into the completeness, accuracy, and consistency of the data. Data quality analysis dashboard app is a free app from AppExchange that can help analyze and improve data quality by identifying duplicate, incomplete, or inaccurate records.


NEW QUESTION # 47
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