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Salesforce Data-Architect Exam Syllabus Topics:

Section	Weight	Objectives
Master Data Management	20%	- Identity resolution - Data cleansing techniques - Data duplication and matching rules
Data Modeling	25%	- Large Data Volumes (LDV) design considerations - Big Objects and external objects - Indexing strategies - Skinny tables for performance optimization - Normalization and denormalization strategies
Data Integration	15%	- Sharing rules impact on data integration - Real-time vs batch integration patterns - ETL tools and data migration strategies - API-based integration (REST, SOAP, Bulk API) - Handling locks and parallelism during migration
Data Governance	20%	- Compliance and regulatory considerations - Data retention and archiving policies - Data stewardship roles and responsibilities - Data quality standards and metrics
Data Architecture	20%	- Governor limits and bulk processing - Architecture patterns and design principles - Archiving and data lifecycle management - Performance tuning and optimization

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Salesforce Certified Data Architect Sample Questions (Q254-Q259):

NEW QUESTION # 254
What 2 data management policies does the data classification feature allow customers to classify in salesforce? Choose 2 answers:

A. Data sensitivity policy.
B. Data governance policy.
C. Reference data policy.
D. Compliance categorization policy.

Answer: A,D

NEW QUESTION # 255
Universal Containers is creating a new B2C service offering for consumers to ship goods across continents. This is in addition to their well-established B2B offering. Their current Salesforce org uses the standard Account object to track B2B customers. They are expecting to have over 50,000,000 consumers over the next five years across their 50 business regions. B2C customers will be individuals. Household data is not required to be stored. What is the recommended data model for consumer account data to be stored in Salesforce?

A. Use the Account object with a newly created Record Type for B2C customers.
B. Use 50 umbrella Accounts for each region, with customers as associated Contacts.
C. Use the Account object with Person Accounts and a new B2C page layout.
D. Create a new picklist value for B2C customers on the Account Type field.

Answer: C

Explanation:
The recommended data model for consumer account data to be stored in Salesforce is to use the Account object with Person Accounts and a new B2C page layout. Person Accounts are a special type of accounts that allow you to store information about individual consumers who are not associated with a business account2. Person Accounts have the following advantages3:
They allow you to use the same standard objects and features that you use for business accounts, such as contacts, opportunities, cases, etc.
They enable you to create different page layouts and record types for B2C and B2B customers, which allows you to customize the user interface and business logic for each segment.
They support large data volumes and can scale up to 50 million records or more, which meets the expected growth of consumers over the next five years.

NEW QUESTION # 256
Universal Containers (UC) has several custom Visualforce applications have been developed in which users are able to edit Opportunity records. UC struggles with data completeness on their Opportunity records and has decided to make certain fields required that have not been in the past. The newly required fields are dependent on the Stage of the Opportunity, such that certain fields are only required once an Opportunity advances to later stages. There are two fields. What is the simplest approach to handle this new requirement?

A. Update the Opportunity page layout to mark these fields as required.
B. Use a validation rule for each field that takes the Stage into consideration.
C. Update these Opportunity field definitions in Setup to be required.
D. Write an Apex trigger that checks each field when records are saved.

Answer: B

Explanation:
Using a validation rule for each field that takes the Stage into consideration is the simplest approach to handle this new requirement. A validation rule can enforce the field requirements based on the logic and criteria that you define, and display an error message when users try to save a record that does not meet the requirements. Updating the Opportunity page layout to mark these fields as required will not work because page layouts do not support conditional field requirements. Updating these Opportunity field definitions in Setup to be required will not work because it will apply to all stages and records. Writing an Apex trigger that checks each field when records are saved is not the simplest approach because it requires coding and testing

NEW QUESTION # 257
Get Cloudy Consulting is migrating their legacy system's users and data to Salesforce. They will be creating 15,000 users, 1.5 million Account records, and 15 million Invoice records. The visibility of these records is controlled by a 50 owner and criteria-based sharing rules.
Get Cloudy Consulting needs to minimize data loading time during this migration to a new organization.
Which two approaches will accomplish this goal? (Choose two.)

A. First, load all account records, and then load all user records.
B. Create the users, upload all data, and then deploy the sharing rules.
C. Contact Salesforce to activate indexing before uploading the data.
D. Defer sharing calculations until the data has finished uploading.

Answer: B,D

NEW QUESTION # 258
Universal Containers (UC) is implementing its new Internet of Things technology, which consists of smart containers that provide information on container temperature and humidity updated every 10 minutes back to UC. There are roughly 10,000 containers equipped with this technology with the number expected to increase to 50,000 across the next five years. It is essential that Salesforce user have access to current and historical temperature and humidity data for each container. What is the recommended solution?

A. Create new custom fields for temperature and humidity in the existing Container custom object, as well as an external ID field that is unique for each container. These custom fields are updated when a new measure is received.
B. Create a new Container Reading custom object with a master-detail relationship to Container which is created when a new measure is received for a specific container. Implement an archiving process that runs every hour.
C. Create a new Lightning Component that displays last humidity and temperature data for a specific container and can also display historical trends obtaining relevant data from UC's existing data warehouse.
D. Create a new Container Reading custom object, which is created when a new measure is received for a specific container. The Container Reading custom object has a master-detail relationship to the container object.

Answer: B

Explanation:
The recommended solution for Universal Containers (UC) to implement its new Internet of Things technology is to create a new Container Reading custom object with a master-detail relationship to Container which is created when a new measure is received for a specific container. Implement an archiving process that runs every hour. This solution would allow UC to store and access current and historical temperature and humidity data for each container on Salesforce, and use reports and dashboards to analyze it. However, since UC expects a large volume of data over time, they should implement an archiving process that moves data off-platform after a certain period of time to avoid hitting the Org data storage limit and maintain optimal performance. The other options are not recommended, as they would either not store the historical data on Salesforce, or create too many custom fields on the Container object that could impact performance and usability.

NEW QUESTION # 259
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