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Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
Large Data Volumes20%- Describe the implications of LDV on data modeling
- Describe the considerations for Large Data Volumes (LDV)
- Describe the features and best practices for LDV
Salesforce Data Management25%- Describe the considerations for data governance
- Describe the implications of LDV on data management
- Describe the considerations for data migration
- Describe the considerations for data archival
Master Data Management5%- Describe the methods for aligning data across systems
- Describe the considerations for a Master Data Management strategy
Data Migration15%- Describe the tools and best practices for data migration
- Describe the implications of data migration on data quality
- Describe the considerations for data migration
Data Governance10%- Describe the considerations for data quality
- Describe the considerations for data classification
- Describe the elements of a data governance framework
Data Modeling/Database Design25%- Explain the usage of external objects
- Describe the implications of LDV on data modeling
- Describe the considerations when designing a data model for Salesforce
- Describe the options and considerations for Large Data Volumes (LDV)

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Plat-Arch-201 Prep Torrent - Salesforce Certified Platform Data Architect Exam Torrent & Plat-Arch-201 Test Braindumps

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Salesforce Certified Platform Data Architect Sample Questions (Q77-Q82):

NEW QUESTION # 77
Which field is automatically indexed?

Answer: A

Explanation:
Salesforce automatically indexes primary keys.


NEW QUESTION # 78
What is a key cause of ownership data skew?

Answer: D

Explanation:
Ownership skew occurs when one user owns a large number of records, affecting performance.


NEW QUESTION # 79
Universal Containers (UC) is going thought major reorganization of their sales team. This would require changes to a large a number of group members and sharing rules. UCs administrator is concerned about long processing time and failure during the process. What should a Data architect implement to make changes efficiently?

Answer: D

Explanation:
The correct answer is B. To make changes efficiently, a data architect should enable Defer Sharing Calculation prior to making sharing rule changes. This will allow the administrator to make multiple changes to sharing rules without recalculating them after each change, which can take a long time and cause failures. The sharing rules can be recalculated later when there are fewer users online or during off-peak hours.


NEW QUESTION # 80
What is a benefit of archiving data?

Answer: A

Explanation:
Reducing active data improves performance.


NEW QUESTION # 81
Universal Containers (UC) provides shipping services to its customers. They use Opportunities to track customer shipments. At any given time, shipping status can be one of the 10 values. UC has 200,000 Opportunity records. When creating a new field to track shipping status on opportunity, what should the architect do to improve data quality and avoid data skew?

Answer: D

Explanation:
To improve data quality and avoid data skew, the data architect should create a picklist field with values sorted alphabetically for tracking shipping status on opportunity. A picklist field ensures that only valid values are entered and prevents typos or variations in spelling. Sorting the values alphabetically makes it easier for users to find and select the correct value. Data skew occurs when a large number of records are owned by a single user or have a single value for a field.
Creating a picklist field with a limited number of values does not cause data skew, as long as the distribution of values is balanced and not skewed towards one value.


NEW QUESTION # 82
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