2026 Latest Salesforce Data-Architect: Salesforce Certified Data Architect Exam Test

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Salesforce Data-Architect Exam Syllabus Topics:

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

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Salesforce Certified Data Architect Sample Questions (Q30-Q35):

NEW QUESTION # 30
Universal Containers (UC) has lead assignment rules to assign leads to owners. Leads not routed by assignment rules are assigned to a dummy user. Sales rep are complaining of high load times and issues with accessing leads assigned to the dummy user.
What should a data architect recommend to solve these performance issues?

A. Create multiple dummy user and assign leads to them
B. Assign dummy user last role in role hierarchy
C. Assign dummy user to highest role in role hierarchy
D. Periodically delete leads to reduce number of leads

Answer: A

NEW QUESTION # 31
Universal Container (UC) has accumulated data over years and has never deleted data from its Salesforce org. UC is now exceeding the storage allocations in the org. UC is now looking for option to delete unused from the org.
Which three recommendations should a data architect make is order to reduce the number of records from the org?
Choose 3 answers

A. Use hard delete in Bulk API to permanently delete records from Salesforce.
B. Use Rest API to permanently delete records from the Salesforce org.
C. Use hard delete in batch Apex to permanently delete records from Salesforce.
D. Identify records in objects that have not been modified or used In last 3 years.
E. Archive the records in enterprise data warehouse (EDW) before deleting from Salesforce.

Answer: A,D,E

Explanation:
Using hard delete in Bulk API, identifying records that have not been modified or used in last 3 years, and archiving the records in EDW before deleting from Salesforce are all good recommendations to reduce the number of records from the org1. Using hard delete in batch Apex or Rest API may not be as efficient or scalable as Bulk API

NEW QUESTION # 32
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 a skinny table in Salesforce, and copy order and opportunity fields into the skinny table and create the required reports on It.
B. Extract opportunity and order data from Salesforce, and use a third-party reporting tool to run reports outside of Salesforce.
C. Create an aggregate custom object that summarizes the monthly and yearly values into the required format for the required reports.
D. Create custom fields on opportunity, and copy data from order into those custom fields and run all reports on Opportunity object.

Answer: C

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 # 33
The data architect for UC has written a SOQL query that will return all records from the Task object that do not have a value in the WhatId field:
Select id, description, Subject from Task where WhatId != NULL
When the data architect usages the query to select values for a process a time out error occurs.
What does the data architect need to change to make this query more performant?

A. Change the where clause to filter by a deterministic defined value.
B. Add limit 100 to the query.
C. Remove description from the requested field set.
D. Change query to SOSL. ??

Answer: A

NEW QUESTION # 34
Northern Trail Outfitters (NTO) wants to capture a list of customers that have bought a particular product.
The solution architect has recommended to create a custom object for product, and to create a lookup relationship between its customers and its products.
Products will be modeled as a custom object (NTO_ Product__ c) and customers are modeled as person accounts. Every NTO product may have millions of customers looking up a single product, resulting in a lookup skew.
What should a data architect suggest to mitigate Issues related to lookup skew?

A. Create multiple similar products and distribute the skew across those products.
B. Change the lookup relationship to master-detail relationship.
C. Create a custom object to maintain the relationship between products and customers.
D. Select Clear the value of this field option while configuring the lookup relationship.

Answer: A

Explanation:
creating multiple similar products and distributing the skew across those products can be a way to mitigate issues related to lookup skew. The article explains that lookup skew happens when a very large number of records are associated with a single record in the lookup object, and this can cause record locking and performance issues. The article suggests creating multiple copies of the same product record and assigning different child records to each copy, so that the number of child records per parent record is reduced.

NEW QUESTION # 35
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