Data-Architect

Guaranteed Success in Data-Architect Exam

Data-Architect
Data-Architect Exam Dumps PDF + Practice Test
Exam: Data-Architect
Exam Name: Salesforce Certified Data Architect (WI23) Exam
Certification(s): Salesforce Architect
Questions: 253 Questions Answers
Last Updated: May 31,2025
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Comments

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Upvoted 1 time

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Upvoted 2 time

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Upvoted 2 time

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Upvoted 3 time

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Upvoted 2 time

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Upvoted 1 time

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Upvoted 1 time

Main points of Salesforce Data-Architect Test

1. Data Modeling

  • Understand the different types of data models and their use cases.
  • Be able to create and maintain data models.
  • Understand the impact of data modeling on performance and scalability.

2. Data Warehousing

  • Understand the different types of data warehouses and their use cases.
  • Be able to design and implement data warehouses.
  • Understand the impact of data warehousing on performance and scalability.

3. Data Integration

  • Understand the different methods of data integration.
  • Be able to design and implement data integration solutions.
  • Understand the impact of data integration on performance and scalability.

4. Data Governance

  • Understand the different aspects of data governance.
  • Be able to implement data governance policies and procedures.
  • Understand the impact of data governance on compliance and security.

5. Big Data

  • Understand the different types of big data and their use cases.
  • Be able to collect, store, and analyze big data.
  • Understand the impact of big data on performance and scalability.

6. Cloud Computing

  • Understand the different types of cloud computing services.
  • Be able to design and implement cloud-based data solutions.
  • Understand the impact of cloud computing on performance and scalability.

7. Security

  • Understand the different security risks associated with data.
  • Be able to implement security measures to protect data.
  • Understand the impact of security on performance and scalability.

8. Compliance

  • Understand the different compliance regulations that apply to data.
  • Be able to implement compliance measures to ensure that data is compliant with regulations.
  • Understand the impact of compliance on performance and scalability.

9. Performance

  • Understand the different factors that affect data performance.
  • Be able to optimize data performance.
  • Understand the impact of performance on scalability.

10. Scalability

  • Understand the different factors that affect data scalability.
  • Be able to design and implement scalable data solutions.
  • Understand the impact of scalability on performance.
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