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Salesforce Data-Architect Exam Syllabus Topics:

Section	Objectives
Topic 1: Data Governance and Management	- Data quality management 1. Deduplication strategies 2. Data validation rules - Security and compliance 1. Data access controls 2. Regulatory compliance considerations
Topic 2: Master Data Management (MDM)	- MDM architecture 1. Golden record design 2. Data synchronization approaches
Topic 3: 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 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. Indexing and query optimization 2. Bulk data processing strategies

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Salesforce Certified Data Architect Sample Questions (Q113-Q118):

NEW QUESTION # 113
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 query that includes standard index fields(s).
B. Modify the export job header to specify Sforce-Enable-PKChunking.
C. Modify the export job header to specify Export-in-Parallel.
D. Modify the export query with LIMIT clause with Batch size 10,000.

Answer: B

Explanation:
The Sforce-Enable-PKChunking header enables you to extract large data sets from Salesforce by using a technique called primary key (PK) chunking. PK chunking splits your query into multiple queries based on the record IDs of the queried object. This reduces the query time and avoids the query timeout issues that can occur with large data volumes

NEW QUESTION # 114
Universal Containers has defined a new Data Quality Plan for their Salesforce data and wants to know how they can enforce it throughout the organization. Which two approaches should an architect recommend to enforce this new plan?
Choose 2 answers

A. Schedule a weekly dashboard displaying records that are missing information to be sent to managers for review.
B. Schedule reports that will automatically catch duplicates and merge or delete the records every week.
C. Use Workflow, Validation Rules, and Force.com code (Apex) to enforce critical business processes.
D. Store all data in an external system and set up an integration to Salesforce for view -only access.

Answer: A,C

Explanation:
Scheduling a weekly dashboard displaying records that are missing information to be sent to managers for review and using Workflow, Validation Rules, and Force.com code (Apex) to enforce critical business processes are two approaches that an architect should recommend to enforce the new Data Quality Plan for UC's Salesforce data. Scheduling a weekly dashboard can provide a regular and visual way of monitoring the data quality and identifying any gaps or issues that need to be addressed by the managers or users. Using Workflow, Validation Rules, and Apex can provide various ways of enforcing data quality standards and business logic by automating actions, displaying error messages, or executing custom code when users create or edit records. The other options are not suitable or helpful for enforcing the Data Quality Plan, as they would either not provide real-time feedback, not prevent data quality issues, or not leverage the capabilities of Salesforce

NEW QUESTION # 115
Northern Trail Outfitters (NTO) has a variety of customers that include householder, businesses, and individuals.
The following conditions exist within its system:
NTO has a total of five million customers.
Duplicate records exist, which is replicated across many systems, including Salesforce.
Given these conditions, there is a lack of consistent presentation and clear identification of a customer record.
Which three option should a data architect perform to resolve the issues with the customer data?

A. Duplicate customer records across the system and provide a two-way sync of data between the systems.
B. Create a unique global customer ID for each customer and store that in all system for referential identity.
C. Invest in data duplicate tool to de-dupe and merge duplicate records across all systems.
D. Create a customer master database external to Salesforce as a system of truth and sync the customer data with all systems.
E. Use Salesforce CDC to sync customer data cross all systems to keep customer record in sync.

Answer: B,C,D

NEW QUESTION # 116
UC has large amount of orders coming in from its online portal. Historically all order are assigned to a generic user.
Which 2 measures should data architect recommend to avoid any performance issues while working with large number of order records? Choose 2 answers:

A. Clear the role field in the generic user record.
B. Create a role at top of role hierarchy and assign the role to the generic user.
C. Salesforce handles the assignment of orders automatically and there is no performance impact.
D. Create a pool of generic users and distribute the assignment of memory to the pool of users.

Answer: A,B

Explanation:
Clearing the role field in the generic user record and creating a role at the top of the role hierarchy and assigning it to the generic user are two measures that can help avoid performance issues while working with large number of order records. These measures can prevent data skew and lock contention that may occur when a single user owns or shares a large number of records

NEW QUESTION # 117
A large automobile manufacturer has decided to use Salesforce as its CRM. It needs to maintain the following dealer types in their CRM:
Local dealers
Regional distributor
State distributor
Service dealer
The attributes are different for each of the customer types. The CRM users should be allowed to enter only attributes related to the customer types. The processes and business rules for each of the customer types could be different.
How should the different dealers be maintained in Salesforce?

A. Use Accounts for dealers, and create record types for each of the dealer types.
B. Create Custom objects for each dealer types and custom fields for dealer attributes.
C. Create dealers as Accounts, and build custom views for each of the dealer types.
D. Use Accounts for dealers and custom picklist field for each of the dealer types

Answer: A

Explanation:
According to Trailhead2, record types are a feature that allows administrators to create different business processes, page layouts, and picklist values for different types of records within an object. Record types can be used to maintain different dealer types in Salesforce by creating record types for each of the dealer types and assigning them appropriate attributes, processes, and rules. Option A is the correct answer because it suggests using Accounts for dealers, and creating record types for each of the dealer types. Option B is incorrect because creating dealers as Accounts, and building custom views for each of the dealer types does not allow CRM users to enter only attributes related to the customer types, nor does it enable different processes and business rules for each of the customer types. Option C is incorrect because using Accounts for dealers and custom picklist field for each of the dealer types does not allow CRM users to enter only attributes related to the customer types, nor does it enable different processes and business rules for each of the customer types. Option D is incorrect because creating Custom objects for each dealer types and custom fields for dealer attributes can be unnecessary and complex, as it requires creating multiple objects and relationships instead of using the standard Account object.

NEW QUESTION # 118
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