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Salesforce Data-Architect Exam Syllabus Topics:

Section	Objectives
Topic 1: Master Data Management (MDM)	- MDM architecture 1. Golden record design 2. Data synchronization approaches
Topic 2: Data Modeling and Database Design	- Salesforce data model design 1. Standard and custom objects usage 2. Schema design for scalability - Data modeling concepts 1. Normalization and denormalization strategies 2. Relational vs. non-relational data design
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: 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 5: Large Data Volume and Performance	- Scalability considerations 1. Bulk data processing strategies 2. Indexing and query optimization

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Salesforce Certified Data Architect Sample Questions (Q200-Q205):

NEW QUESTION # 200
Universal Containers (UC) is expecting to have nearly 5 million shipments records in its Salesforce org. Each shipment record has up to 10 child shipment item records. The Shipment custom object has an Organization-wide Default (OWD) sharing model set to Private and the Shipment Item custom object has a Master-Detail relationship to Shipment. There are 25 sharing rules set on the Shipment custom object, which allow shipment records to be shared to each of UC's 25 business areas around the globe. These sharing rules use public groups, one for each business area plus a number of groups for management and support roles. UC has a high turnover of Sales Reps and often needs to move Sales Reps between business areas in order to meet local demand. What feature would ensure that performance, when moving Sales Reps between regions, remains adequate while meeting existing requirements?

A. Contact Salesforce to enable Defer Sharing Rules
B. Configure shipment OWD to Public Read/Write.
C. Contact Salesforce to create Skinny tables on Shipment.
D. Implement data archiving for old Shipment records.

Answer: A

NEW QUESTION # 201
Universal Containers is exporting 40 million Account records from Salesforce using Informatica Cloud. The ETL tool fails and the query log indicates a full table scan time-out failure. What is the recommended solution?

A. Modify the export job header to specify Export-in-Parallel.
B. Modify the export query that includes standard index fields(s).
C. Modify the export query with LIMIT clause with Batch size 10,000.
D. Modify the export job header to specify Sforce-Enable-PKChunking.

Answer: D

NEW QUESTION # 202
Universal Containers (UC) owns several Salesforce orgs across a variety of business units. UC management has declared that it needs the ability to report on Accounts and Opportunities from each org in one place.
Once the data is brought together into a global view, management would like to use advanced Al-driven analytics on the dataset.
Which tool should a data architect recommend to accomplish this reporting requirement?

A. Run standard reports and dashboards.
B. Write a Python script to aggregate and visualize the data.
C. Install a third-party AppExchange tool for multi-org reporting.
D. Use Einstein Analytics for multi-org.

Answer: D

Explanation:
According to this article , Einstein Analytics for multi-org can help UC to report on accounts and opportunities from each org in one place. It can also provide advanced AI-driven analytics on the dataset using Einstein Discovery.

NEW QUESTION # 203
Northern Trail Outfitters (NTO) has implemented Salesforce for its sales users. The opportunity management in Saiesforce Is implemented as follows:
1. Sales users enter their opportunities in Salesforce for forecasting and reporting purposes.
2. NTO has a product pricing system (PPS) that is used to update the Opportunity Amount field on opportunities on a daily basis.
3. PPS is the trusted source within NTO for Opportunity Amount.
4. NTO uses Opportunity Forecast for its sales planning and management.
Sales users have noticed that their updates to the Opportunity Amount field are overwritten when PPS updates their opportunities.
How should a data architect address this overwriting issue?

A. Change PSS integration to update only Opportunity Amount field when the value is null.
B. Create a custom field for Opportunity amount that sales users update separating the field that PPS updates.
C. Create a custom field for Opportunity amount that PSS updates separating the field sales user updates.
D. Change Opportunity Amount field access to Read Only for sales users field-level security.

Answer: D

Explanation:
Changing Opportunity Amount field access to Read Only for sales users field-level security (option C) is the best way to address the overwriting issue, as it prevents sales users from updating the field that is controlled by PPS, and ensures data consistency and accuracy. Creating a custom field for Opportunity amount that PSS updates separating the field sales user updates (option A) or creating a custom field for Opportunity amount that sales users update separating the field that PPS updates (option D) are not good solutions, as they may create confusion and inconsistency with the Opportunity Forecast feature. Changing PSS integration to update only Opportunity Amount field when the value is null (option B) is also not a good solution, as it may cause data loss or conflicts with the sales users' inputs.

NEW QUESTION # 204
Universal Containers has a custom object with millions of rows of data.
When executing SOQL queries, which three options prevent a query from being selective? (Choose three.)

A. Using trailing % wildcards.
B. Performing large loads and deletions.
C. Using leading % wildcards.
D. Using a custom index on a deterministic formula field.
E. Using NOT and != operators.

Answer: C,D,E

NEW QUESTION # 205
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