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Salesforce Data-Architect Exam Syllabus Topics:

Section	Weight	Objectives
Data Governance and Compliance	20%	- Data governance framework 1. Compliance and regulatory requirements 2. Data quality standards 3. Data stewardship and ownership - Data lifecycle management 1. Data privacy and security 2. Data retention and archiving policies 3. Data classification and handling
Salesforce Data Management	25%	- Sharing and visibility design 1. Sharing rules, manual sharing, Apex sharing 2. Data access and security model 3. Organization-wide defaults, role hierarchy - Data import and export strategies 1. Tools: Data Loader, Import Wizard, Bulk API 2. Data validation and cleansing 3. Migration planning and execution
Data Modeling and Database Design	25%	- Design scalable data models 1. Data model optimization for performance 2. Object relationships and cardinality 3. Custom and standard object design - Indexing and data structure 1. Query optimization strategies 2. Skinny tables and big objects 3. Standard and custom indexes
Large Data Volume Considerations	20%	- Performance and scalability 1. Avoiding and resolving data skew 2. Governor limits and bulk processing 3. Handling millions of records - Storage and optimization 1. Performance tuning techniques 2. Archiving and off-platform storage 3. Storage limits and management
Data Integration and Master Data Management	10%	- Integration patterns and tools 1. REST, SOAP, and Bulk API usage 2. Real-time vs batch integration 3. External data sources and objects - Master data management 1. Data synchronization and consistency 2. MDM strategy and implementation 3. Single source of truth design

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Salesforce Certified Data Architect Sample Questions (Q92-Q97):

NEW QUESTION # 92
Which three characteristics of a Skinny table help improve report and query performance?

A. Skinny tables do not include records that are available in the recycle bin.
B. Skinny tables are kept in sync with changes to data in the source tables.
C. Skinny tables provide a view across multiple objects for easy access to combined data.
D. Skinny tables can contain frequently used fields and thereby help avoid joins.
E. Skinny tables can be used to create custom indexes on multi-select picklist fields.

Answer: B,C,D

NEW QUESTION # 93
DreamHouse Realty has an integration that creates records in a Salesforce Custom Object. The Custom Object has a field marked as required on the page layout.
DreamHouse Realty has noticed that many of the records coming from the external system are missing data in this field.
The Architect needs to ensure this field always contains data coming from the source system.
Which two approaches should the Architect take? Choose 2 answers

A. Set up a Validation Rule to prevent blank values.
B. Create a Workflow to default a value into this field.
C. Blame the customer's external system for bad data.
D. Mark the field required in setup at the field level.

Answer: A,D

Explanation:
Setting up a Validation Rule to prevent blank values and marking the field required in setup at the field level are two approaches that the Architect should take to ensure that the field always contains data coming from the source system. A Validation Rule can display an error message when a record is created or edited with a blank value for the field, and prevent it from being saved. Marking the field required in setup at the field level can enforce the requirement for all records, regardless of the page layout or the source system. The other options are not effective or recommended for ensuring data quality, as they would either not prevent blank values, not apply to all records, or not address the root cause of the problem

NEW QUESTION # 94
Universal Containers (UC) is a business that works directly with individual consumers (B2C). They are moving from a current home-grown CRM system to Salesforce. UC has about one million consumer records. What should the architect recommend for optimal use of Salesforce functionality and also to avoid data loading issues?

A. Create one Account and load individual consumers as Contacts linked to that one Account.
B. Load one Account record and one Contact record for each individual consumer.
C. Create a Custom Object Individual Consumer c to load all individual consumers.
D. Load all individual consumers as Account records and avoid using the Contact object.

Answer: B

NEW QUESTION # 95
Universal Containers (UC) wants to ensure their data on 100,000 Accounts pertaining mostly to US-based companies is enriched and cleansed on an ongoing basis. UC is looking for a solution that allows easy monitoring of key data quality metrics. What should be the recommended solution to meet this requirement?

A. Use a declarative approach by installing and configuring Data.com Clean to monitor Account data quality.
B. Use declarative approach by installing and configuring Data.com Prospector to monitor Account data quality.
C. Implement an Apex Trigger on Account that queries a third-party data quality API to monitor Account data quality.
D. Implement Batch Apex that calls out a third-party data quality API in order to monitor Account data quality.

Answer: A

NEW QUESTION # 96
Universal Container require all customers to provide either a phone number of an email address when registering for an account.
What should the data architect use to ensure this requirement is met?

A. Process Builder
B. validation Rule
C. required Fields
D. Apex Class

Answer: B

NEW QUESTION # 97
......

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