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Salesforce Data-Architect Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Integration and Master Data Management10%- Integration patterns and tools
  • 1. External data sources and objects
  • 2. Real-time vs batch integration
  • 3. REST, SOAP, and Bulk API usage
- Master data management
  • 1. MDM strategy and implementation
  • 2. Single source of truth design
  • 3. Data synchronization and consistency
Topic 2: Large Data Volume Considerations20%- Storage and optimization
  • 1. Performance tuning techniques
  • 2. Storage limits and management
  • 3. Archiving and off-platform storage
- Performance and scalability
  • 1. Governor limits and bulk processing
  • 2. Handling millions of records
  • 3. Avoiding and resolving data skew
Topic 3: Salesforce Data Management25%- Sharing and visibility design
  • 1. Data access and security model
  • 2. Organization-wide defaults, role hierarchy
  • 3. Sharing rules, manual sharing, Apex sharing
- Data import and export strategies
  • 1. Tools: Data Loader, Import Wizard, Bulk API
  • 2. Data validation and cleansing
  • 3. Migration planning and execution
Topic 4: Data Modeling and Database Design25%- Design scalable data models
  • 1. Data model optimization for performance
  • 2. Custom and standard object design
  • 3. Object relationships and cardinality
- Indexing and data structure
  • 1. Skinny tables and big objects
  • 2. Standard and custom indexes
  • 3. Query optimization strategies
Topic 5: Data Governance and Compliance20%- Data governance framework
  • 1. Data quality standards
  • 2. Data stewardship and ownership
  • 3. Compliance and regulatory requirements
- Data lifecycle management
  • 1. Data privacy and security
  • 2. Data classification and handling
  • 3. Data retention and archiving policies

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Salesforce Certified Data Architect Sample Questions (Q151-Q156):

NEW QUESTION # 151
Universal Containers (UC) loads bulk leads and campaigns from third-party lead aggregators on a weekly and monthly basis. The expected lead record volume is 500K records per week, and the expected campaign records volume is 10K campaigns per week. After the upload, Lead records are shared with various sales agents via sharing rules and added as Campaign members via Apex triggers on Lead creation. UC agents work on leads for 6 months, but want to keep the records in the system for at least 1 year for reference.
Compliance requires them to be stored for a minimum of 3 years. After that, data can be deleted. What statement is true with respect to a data archiving strategy for UC?

Answer: A

Explanation:
Leveraging a "tier"-based approach to classify the record storage need is a true statement with respect to a data archiving strategy for UC. This approach involves defining different tiers of data based on their usage, value, and retention policies, and then applying appropriate storage and archiving solutions for each tier .


NEW QUESTION # 152
Universal Containers keeps its Account data in Salesforce and its Invoice data in a third -party ERP system. They have connected the Invoice data through a Salesforce external object. They want data from both Accounts and Invoices visible in one report in one place. What two approaches should an architect suggest for achieving this solution? Choose 2 answers

Answer: C,D


NEW QUESTION # 153
What is an advantage of using Custom metadata type over Custom setting?

Answer: A

Explanation:
Custom metadata records are deployable using packages, which makes them easier to migrate from one environment to another. Custom settings records are not deployable using packages, and they are copied from production to sandbox. Custom metadata types are not available for reporting, and custom metadata records are not editable in Apex.


NEW QUESTION # 154
Universal Containers has been a customer of Salesforce for 10 years. Currently they have 2 million accounts in the system. Due to an erroneous integration built 3 years ago, it is estimated there are 500,000 duplicates in the system.
Which solution should a data architect recommend to remediate the duplication issue?

Answer: D


NEW QUESTION # 155
NTO processes orders from its website via an order management system (OMS). The OMS stores over 2 million historical records and is currently not integrated with SF. The Sales team at NTO using Sales cloud and would like visibility into related customer orders yet they do not want to persist millions of records directly in Salesforce. NTO has asked the data architect to evaluate SF connect and the concept of data verification. Which 3 considerations are needed prior to a SF Connect implementation?
Choose 3 answers:

Answer: A,C,D

Explanation:
The three considerations needed prior to a SF Connect implementation are to develop an object relationship strategy, identify the external tables to sync into external objects, and assess whether the external data source is reachable via an ODATA endpoint. SF Connect is a feature that allows integrating external data sources with Salesforce using external objects. External objects are similar to custom objects, but they store metadata only and not data. They enable on-demand access to external data via standard Salesforce APIs and user interfaces. To implement SF Connect, a data architect needs to consider how the external objects will relate to other objects in Salesforce, which external tables will be exposed as external objects, and whether the external data source supports ODATA protocol for data access.


NEW QUESTION # 156
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