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Salesforce Data-Architect Exam Syllabus Topics:

Section	Objectives
Large Data Volume and Performance	- Scalability considerations 1. Indexing and query optimization 2. Bulk data processing strategies
Master Data Management (MDM)	- MDM architecture 1. Data synchronization approaches 2. Golden record design
Data Governance and Management	- Data quality management 1. Data validation rules 2. Deduplication strategies - Security and compliance 1. Data access controls 2. Regulatory compliance considerations
Data Modeling and Database Design	- Data modeling concepts 1. Relational vs. non-relational data design 2. Normalization and denormalization strategies - Salesforce data model design 1. Standard and custom objects usage 2. Schema design for scalability
Data Integration	- Integration patterns 1. ETL vs real-time integration 2. API-based integration strategies - Salesforce integration tools 1. MuleSoft and REST/SOAP APIs 2. Platform events and change data capture

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Salesforce Certified Data Architect Sample Questions (Q197-Q202):

NEW QUESTION # 197
Universal Containers (UC) maintains a collection of several million Account records that represent business in the United Sates. As a logistics company, this list is one of the most valuable and important components of UC's business, and the accuracy of shipping addresses is paramount. Recently it has been noticed that too many of the addresses of these businesses are inaccurate, or the businesses don't exist. Which two scalable strategies should UC consider to improve the quality of their Account addresses?

A. Contact each business on the list and ask them to review and update their address information.
B. Integrate with a third-party database or services for address validation and enrichment.
C. Leverage Data.com Clean to clean up Account address fields with the D&B database.
D. Build a team of employees that validate Accounts by searching the web and making phone calls.

Answer: B,C

Explanation:
Integrating with a third-party database or service for address validation and enrichment is a scalable strategy that can improve the quality of the Account addresses by comparing them with a reliable source of data1. Leveraging Data.com Clean to clean up Account address fields with the D&B database is another scalable strategy that can automatically update and enrich Account records with verified information from Data.com2.

NEW QUESTION # 198
Universal Containers is planning out their archiving and purging plans going forward for their custom objects Topic__c and Comment__c. Several options are being considered, including analytics snapshots, offsite storage, scheduled purges, etc. Which three questions should be considered when designing an appropriate archiving strategy?

A. If reporting is necessary, can the information be aggregated into fewer, summary records?
B. How many fields are defined on the custom objects that need to be archived?
C. Which profiles and users currently have access to these custom object records?
D. Will the data being archived need to be reported on or accessed in any way in the future?
E. Are there any regulatory restrictions that will influence the archiving and purging plans?

Answer: A,D,E

NEW QUESTION # 199
Universal Containers (UC) needs to run monthly and yearly reports on opportunities and orders for sales reporting. There are 5 million opportunities and 10 million orders. Sales users are complaining that the report will regularly timeout.
What is the fastest and most effective way for a data architect to solve the time-out issue?

A. Create an aggregate custom object that summarizes the monthly and yearly values into the required format for the required reports.
B. Create a skinny table in Salesforce, and copy order and opportunity fields into the skinny table and create the required reports on It.
C. Extract opportunity and order data from Salesforce, and use a third-party reporting tool to run reports outside of Salesforce.
D. Create custom fields on opportunity, and copy data from order into those custom fields and run all reports on Opportunity object.

Answer: A

Explanation:
Creating an aggregate custom object that summarizes the monthly and yearly values into the required format for the required reports (option D) is the fastest and most effective way for a data architect to solve the time-out issue, as it reduces the amount of data that needs to be queried and processed by the reports. Creating custom fields on opportunity and copying data from order into those custom fields (option A) is not a good solution, as it may create data redundancy and inconsistency, and it does not address the large volume of data. Extracting opportunity and order data from Salesforce and using a third-party reporting tool (option B) is also not a good solution, as it may introduce additional complexity and cost, and it does not leverage the native reporting features of Salesforce. Creating a skinny table in Salesforce and copying order and opportunity fields into it (option C) is also not a good solution, as it may not support all the reporting requirements, and it does not reduce the number of records.

NEW QUESTION # 200
Every year, Ursa Major Solar has more than 1 million orders. Each order contains an average of 10 line items. The Chief Executive Officer (CEO) needs the Sales Reps to see how much money each customer generates year-over-year. However, data storage is running low in Salesforce.
Which approach for data archiving is appropriate for this scenario?

A. 1. Annually aggregate order amount data to store in a custom object. 2. Delete those orders and order line items.
B. 1. Annually export and delete order line items. 2. Store them in a zip file in case the data is needed later.
C. 1. Annually delete orders and order line items. 2. Ensure the customer has order information in another system.
D. 1. Annually export and delete orders and order line items. 2. Store them in a zip file in case the data is needed later.

Answer: A

Explanation:
Option B is the most appropriate approach for data archiving in this scenario1. By aggregating order amount data at a summary level and storing it in a custom object, you can reduce data storage and still provide visibility to the Sales Reps on how much money each customer generates year-over-year. Option A is not correct because storing data in a zip file does not make it available in Salesforce. Option C is not correct because exporting and deleting orders and order line items may lose important details that are needed for analysis or reporting. Option D is not correct because deleting orders and order line items without exporting them may cause data loss or inconsistency if the customer does not have order information in another system.

NEW QUESTION # 201
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?

A. Enable Defer Sharing Calculation prior to making sharing rule changes.
B. Log out all users and make changes to sharing rules.
C. Delete old sharing rules and build new sharing rules
D. Log a case with salesforce to make sharing rule changes.

Answer: A

NEW QUESTION # 202
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