Free PDF Quiz 2026 Data-Architect: Salesforce Certified Data Architect–High-quality New Soft Simulations

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Salesforce Data-Architect Exam Syllabus Topics:

SectionWeightObjectives
Master Data Management20%- Identity resolution
- Data duplication and matching rules
- Data cleansing techniques
Data Governance20%- Data retention and archiving policies
- Compliance and regulatory considerations
- Data stewardship roles and responsibilities
- Data quality standards and metrics
Data Integration15%- API-based integration (REST, SOAP, Bulk API)
- Sharing rules impact on data integration
- Handling locks and parallelism during migration
- ETL tools and data migration strategies
- Real-time vs batch integration patterns
Data Modeling25%- Normalization and denormalization strategies
- Indexing strategies
- Big Objects and external objects
- Large Data Volumes (LDV) design considerations
- Skinny tables for performance optimization
Data Architecture20%- Performance tuning and optimization
- Governor limits and bulk processing
- Archiving and data lifecycle management
- Architecture patterns and design principles

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Salesforce Certified Data Architect Sample Questions (Q47-Q52):

NEW QUESTION # 47
UC has a legacy client server app that as a relational data base that needs to be migrated to salesforce.
What are the 3 key actions that should be done when data modeling in salesforce?
Choose 3 answers:

Answer: B,C,D


NEW QUESTION # 48
Based on government regulations, a Salesforce customer plans to implement the following in Salesforce for compliance:
Access to customer information based on record ownership
Ability for customers to request removal of their information from Salesforce Prevent users from accessing Salesforce from outside company network (virtual private network, or VPN) What should a data architect recommend to address these requirements?

Answer: C

Explanation:
IP restrictions can be used to prevent users from accessing Salesforce from outside the company network or VPN. According to this article, sharing settings can be used to control access to customer information based on record ownership. According to this article, custom Apex can be used to support customer requests for removal of their information from Salesforce.


NEW QUESTION # 49
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?

Answer: C

Explanation:
According to the Salesforce documentation, SOQL is a query language that allows querying data from Salesforce objects and fields. SOQL queries have various clauses and operators that can be used to filter and sort the results. However, some clauses and operators can affect the performance of SOQL queries by increasing the cost or complexity of executing them.
To make this query more performant, a data architect should change the where clause to filter by a deterministic defined value (option D). This means using a filter condition that specifies a concrete value or range of values for a field, such as WhatId = '001xx000003DGg3' or WhatId IN ('001xx000003DGg3',
'001xx000003DGg4'). This can improve the performance of the query by reducing the number of records that need to be scanned and returned. A deterministic defined value can also leverage an index on the field, which can speed up the query execution.
Removing description from the requested field set (option A) is not a good solution, as it can affect the functionality or usability of the query. The description field may contain important or relevant information that is needed for the process. Changing the query to SOSL (option B) is also not a good solution, as SOSL is a different query language that allows searching text fields across multiple objects. SOSL queries have different syntax and limitations than SOQL queries, and may not return the same results or performance.
Adding limit 100 to the query (option C) is also not a good solution, as it can affect the completeness or accuracy of the query. The limit clause specifies the maximum number of records that can be returned by the query, which may not include all the records that match the filter condition.


NEW QUESTION # 50
Northern Trail Outfitters (NTO) wants to start a loyalty program to reward repeat customers. The program will track every item a customer has bought and grants them points for discounts. The following conditions will exist upon implementation:
Data will be used to drive marketing and product development initiatives.
NTO estimates that the program will generate 100 million rows of date monthly.
NTO will use Salesforce's Einstein Analytics and Discovery to leverage their data and make business and marketing decisions.
What should the Data Architect do to store, collect, and use the reward program data?

Answer: B

Explanation:
According to the official Salesforce guide1, big objects are designed to store and manage massive data volumes within Salesforce without affecting performance. They can be queried by using Async SOQL or standard SOQL, and they can be accessed by using Apex, Visualforce, Lightning components, or APIs. Big objects are ideal for storing data that is used for analytics or reporting purposes, such as the reward program data. Option A is the correct answer because it allows NTO to create a custom big object in Salesforce that can store the reward program data and make it available for consumption by Einstein Analytics and Discovery. Option B is incorrect because Einstein cannot connect directly to the point of sales system to capture the reward program data. Option C is incorrect because Einstein Analytics does not support creating big objects. Option D is incorrect because custom objects are not suitable for storing large volumes of data.


NEW QUESTION # 51
Salesforce is being deployed in Ursa Major Solar's disparate, multi-system ERP environment. Ursa major Solar wants to maintain data synchronization between systems.
Which two techniques should be used to achieve this goal? (Choose two.)

Answer: A,D

Explanation:
Option A is correct because integrating Salesforce with the ERP environment is a technique to maintain data synchronization between systems1. Option C is correct because utilizing an MDM strategy to outline a single source of truth is another technique to ensure data quality and consistency across systems2. Option B is not correct because utilizing workbench to update files within systems is not a technique to maintain data synchronization, but a tool to perform data manipulation tasks3. Option D is not correct because building synchronization reports and dashboards is not a technique to maintain data synchronization, but a way to monitor and analyze data4.


NEW QUESTION # 52
......

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