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Salesforce Plat-Arch-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Data Governance, Quality and Security | 15% | - 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
|
| Data Integration | 20% | - Integration patterns and technologies
- 1. APIs, middleware and external systems integration
- 2. Synchronous vs asynchronous, batch vs real-time
- External data sources
- 1. External Objects, OData and virtual data access
- Data synchronization and consistency
- 1. Conflict resolution, data consistency and idempotency
|
| Large Data Volumes and Performance | 20% | - 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
|
| Master Data Management | 5% | - 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
|
| Data Migration | 15% | - 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
|
| Data Modeling and Database Design | 25% | - 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
- Data model design for Customer 360
- 1. Objects, fields, relationships and object features
- 2. Scalable design aligned with security and sharing model
- Metadata management
- 1. Business dictionary, data lineage, taxonomy and classification
|
Salesforce Certified Platform Data Architect Sample Questions:
1. 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
A) Export data and check for data completeness outside of Salesforce.
B) Use custom objects and fields to identify issues.
C) Review data quality reports and dashboards.
D) Install and run data quality analysis dashboard app
2. NTO need to extract 50 million records from a custom object everyday from its Salesforce org.
NTO is facing query timeout issues while extracting these records. What should a data architect recommend in order to get around the time out issue?
A) Use a custom auto number and formula field and use that to chunk records while extracting data.
B) Ask SF support to increase the query timeout value.
C) The REST API to extract data as it automatically chunks records by 200.
D) Use ETL tool for extraction of records.
3. 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?
A) Indirect lookup relationship field on Account, related to Inventory_c
B) Lookup relationship fields on Inventory related to Account
C) Master-detail relationship filed on Account, related to Inventory_c
D) Master-detail relationship filed on Inventory_c, related to Account
4. Universal Containers (UC) is launching an RFP to acquire a new accounting product available on AppExchange. UC is expecting to issue 5 million invoices per year, with each invoice containing an average of 10 line items. What should UC's Data Architect recommend to ensure scalability?
A) Ensure the accounting product runs 100% natively on the Salesforce platform.
B) Ensure the account product vendor includes Wave Analytics in their offering.
C) Ensure the account product vendor provides a sound data archiving strategy.
D) Ensure invoice line items simply reference existing Opportunity line items.
5. Universal Containers is establishing a call center that will use Salesforce. UC receives 10 million calls and creates 100 million cases every month. Cases are linked to a custom call object using lookup relationship. UC would like to run reports and dashboard to better understand different case types being created on calls to better serve customers. What solution should a data architect recommend to meet the business requirement?
A) Leverage big objects to archive records and Einstein Analytics to run reports.
B) Leverage out-of-the-box reports and dashboard on case and interactive voice response (IVR) custom object.
C) Archive records to a data warehouse and run analytics on the data warehouse.
D) Leverage custom objects to store aggregate data and run analytics.
Solutions:
Question # 1 Answer: C,D | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: A |