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

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Salesforce Certified Data Architect Sample Questions (Q162-Q167):

NEW QUESTION # 162
Company S was recently acquired by Company T. As part of the acquisition, all of the data for the Company S's Salesforce instance (source) must be migrated into the Company T's Salesforce instance (target). Company S has 6 million Case records.
An Architect has been tasked with optimizing the data load time.
What should the Architect consider to achieve this goal?

Answer: D

Explanation:
Pre-processing the data means transforming and cleansing the data before loading it into Salesforce. This can reduce the errors and conflicts that might occur during the data load. Using Data Loader with SOAP API to upsert with zip compression enabled can also improve the performance and efficiency of the data load by reducing the network bandwidth and avoiding duplication


NEW QUESTION # 163
Northern Trail Outfitters (NTO) has the following systems:
Customer master-source of truth for customer information
Service cloud-customer support
Marketing cloud-marketing support
Enterprise data warehouse-business reporting
The customer data is duplicated across all these system and are not kept in sync. Customers are also complaining that they get repeated marketing emails and have to call into update their information.
NTO is planning to implement master data management (MDM) solution across the enterprise.
Which three data will an MDM tool solve?
Choose 3 answers

Answer: B,D,E


NEW QUESTION # 164
DreamHouse Realty has a Salesforce deployment that manages Sales, Support, and Marketing efforts in a multi-system ERP environment. The company recently reached the limits of native reports and dashboards and needs options for providing more analytical insights.
What are two approaches an Architect should recommend? (Choose two.)

Answer: B,D


NEW QUESTION # 165
Get Cloudy Consulting needs to evaluate the completeness and consistency of contact information in Salesforce. Their sales reps often have incomplete information about their accounts and contacts. Additionally, they are not able to interpret the information in a consistent manner. Get Cloudy Consulting has identified certain ""key"" fields which are important to their sales reps.
What are two actions Get Cloudy Consulting can take to review their data for completeness and consistency? (Choose two.)

Answer: A,D

Explanation:
Running a report that shows the last time the key fields were updated can help Get Cloudy Consulting identify stale or outdated data and prioritize data cleansing activities. Running a report that shows the percentage of blanks for the important fields can help Get Cloudy Consulting measure the completeness of their data and identify gaps or missing value


NEW QUESTION # 166
A customer wants to maintain geographic location information including latitude and longitude in a custom object. What would a data architect recommend to satisfy this requirement?

Answer: D


NEW QUESTION # 167
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