Reliable Data-Architect Test Notes & Data-Architect Exam

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Salesforce Data-Architect Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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 2: Salesforce Data Management25%- Data import and export strategies
  • 1. Data validation and cleansing
  • 2. Migration planning and execution
  • 3. Tools: Data Loader, Import Wizard, Bulk API
- Sharing and visibility design
  • 1. Data access and security model
  • 2. Organization-wide defaults, role hierarchy
  • 3. Sharing rules, manual sharing, Apex sharing
Topic 3: 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. Single source of truth design
  • 2. Data synchronization and consistency
  • 3. MDM strategy and implementation
Topic 4: Large Data Volume Considerations20%- Performance and scalability
  • 1. Handling millions of records
  • 2. Avoiding and resolving data skew
  • 3. Governor limits and bulk processing
- Storage and optimization
  • 1. Storage limits and management
  • 2. Performance tuning techniques
  • 3. Archiving and off-platform storage
Topic 5: Data Modeling and Database Design25%- Indexing and data structure
  • 1. Skinny tables and big objects
  • 2. Query optimization strategies
  • 3. Standard and custom indexes
- Design scalable data models
  • 1. Data model optimization for performance
  • 2. Custom and standard object design
  • 3. Object relationships and cardinality

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Quiz Salesforce - Data-Architect - Professional Reliable Salesforce Certified Data Architect Test Notes

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Salesforce Certified Data Architect Sample Questions (Q131-Q136):

NEW QUESTION # 131
UC developers have created a new lightning component that uses an Apex controller using a SOQL query to populate a custom list view. Users are complaining that the component often fails to load and returns a time-out error.
What tool should a data architect use to identify why the query is taking too long?

Answer: B


NEW QUESTION # 132
During the implementation of Salesforce, a customer has the following requirements for Sales Orders:
1. Sales Order information needs to be shown to users in Salesforce.
2. Sales Orders are maintained in the on-premises enterprise resource planning (ERP).
3. Sales Order information has more than 150 million records.
4. Sales Orders will not be updated in Salesforce.
What should a data architect recommend for maintaining Sales Orders in salesforce?

Answer: D


NEW QUESTION # 133
Northern Trail Outfitters has these simple requirements for a data export process:
File format should be in CSV.
Process should be scheduled and run once per week.
The expert should be configurable through the Salesforce UI.
Which tool should a data architect leverage to accomplish these requirements?

Answer: D


NEW QUESTION # 134
Universal Containers (UC) is migrating data from legacy system to Salesforce. During data analysis it was discovered that data types of fields being migrated do not match with Salesforce data types.
Which solution should a data architect use to ensure successful data migrations?

Answer: B


NEW QUESTION # 135
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: B,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 # 136
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