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Salesforce Data-Architect Exam Syllabus Topics:

Section	Objectives
Topic 1: 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. Schema design for scalability 2. Standard and custom objects usage
Topic 2: Data Integration	- Integration patterns 1. API-based integration strategies 2. ETL vs real-time integration - Salesforce integration tools 1. MuleSoft and REST/SOAP APIs 2. Platform events and change data capture
Topic 3: Data Governance and Management	- Security and compliance 1. Regulatory compliance considerations 2. Data access controls - Data quality management 1. Data validation rules 2. Deduplication strategies
Topic 4: Master Data Management (MDM)	- MDM architecture 1. Data synchronization approaches 2. Golden record design
Topic 5: Large Data Volume and Performance	- Scalability considerations 1. Bulk data processing strategies 2. Indexing and query optimization

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Passing the Salesforce Certified Data Architect (Data-Architect) certification is crucial for those who want to excel in the Salesforce industry. However, one of the biggest challenges that individuals face after deciding to take the Salesforce Certified Data Architect (Data-Architect) exam is finding authentic Data-Architect questions for efficient preparation. Those who do not study with real Salesforce Certified Data Architect (Data-Architect) dumps often fail the test and waste their valuable resources.

Salesforce Certified Data Architect Sample Questions (Q223-Q228):

NEW QUESTION # 223
Universal Containers (UC) needs to move millions of records from an external enterprise resource planning (ERP) system into Salesforce.
What should a data architect recommend to be done while using the Bulk API in serial mode instead of parallel mode?

A. Inserting 1 million orders distributed across a variety of accounts with potential lock exceptions.
B. Leveraging a controlled feed load with 10 batches per job.
C. Inserting 1 million orders distributed across a variety of accounts with lock exceptions eliminated and managed.
D. Placing 20 batches on the queue for upset jobs.

Answer: A

Explanation:
According to this article, inserting 1 million orders distributed across a variety of accounts with potential lock exceptions is a scenario where using the Bulk API in serial mode can help to prevent the lock contention issue that can occur in parallel mode.

NEW QUESTION # 224
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. Implement an Apex Trigger on Account that queries a third-party data quality API to monitor Account data quality.
C. Use declarative approach by installing and configuring Data.com Prospector 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 # 225
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. Extract opportunity and order data from Salesforce, and use a third-party reporting tool to run reports outside of Salesforce.
B. Create custom fields on opportunity, and copy data from order into those custom fields and run all reports on Opportunity object.
C. Create a skinny table in Salesforce, and copy order and opportunity fields into the skinny table and create the required reports on It.
D. Create an aggregate custom object that summarizes the monthly and yearly values into the required format for the required reports.

Answer: D

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 # 226
A customer is facing locking issued when importing large data volumes of order records that are children in a master-detail relationship with the Account object. What is the recommended way to avoid locking issues during import?

A. Import Order records and Account records separately and populate AccountID in orders using batch Apex.
B. Change the relationship to Lookup and update the relationship to master-detail after import.
C. Import Account records first followed by order records after sorting order by OrderID.
D. Import Account records first followed by order records after sorting orders by AccountID.

Answer: D

Explanation:
Importing Account records first followed by order records after sorting orders by AccountID is the recommended way to avoid locking issues during import. This can reduce the number of lock contention errors by minimizing the number of parent records that are concurrently processed by multiple batches. Sorting orders by AccountID can also group the child records by their parent records and avoid updating the same parent record in different batches3. Importing Account records first followed by order records after sorting order by OrderID will not help with avoiding locking issues because it does not group the child records by their parent records. Changing the relationship to Lookup and updating the relationship to master-detail after import will not work because changing a relationship from Lookup to master-detail requires that all child records have a parent record, which may not be the case after import. Importing Order records and Account records separately and populating AccountID in orders using batch Apex will not help with avoiding locking issues because it still requires updating the parent records in batches.

NEW QUESTION # 227
UC is migrating individual customers (B2C) data from legacy systems to SF. There are millions of customers stored as accounts and contacts in legacy database.
Which object model should a data architect configure within SF?

A. Leverage person account object in Salesforce
B. Leverage custom account and contact object in SF
C. Leverage standard account and contact object in SF
D. Leverage custom person account object in SF

Answer: A

Explanation:
The best object model to configure within SF for migrating individual customers (B2C) data from legacy systems is to leverage person account object in Salesforce. Person accounts are a special type of accounts that store information about individual people by combining certain account and con tact fields into a single record
4 . Person accounts are useful for B2C scenarios where there is no need to associate a company name with a contact. Person accounts also support standard Salesforce features and functionality, such as leads, campaigns, reports, dashboards, etc 5 . Leverage custom person account object in SF is not a good option because there is no such thing as a custom person account object. Leverage custom account and contact object in SF is not a good option because it would require creating and maintaining additional objects and fields that may not be necessary or compatible with standard Salesforce features. Leverage standard account and contact object in SF is not a good option because it would require filling in dummy values for the account name field, which is mandatory for standard accounts.

NEW QUESTION # 228
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