2025 Realistic Data-Architect Dumps Questions To Gain Brilliant Result [Q46-Q64]

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2025 Realistic Data-Architect Dumps Questions To Gain Brilliant Result

Start your Data-Architect Exam Questions Preparation with Updated 260 Questions


Salesforce Data-Architect certification is highly valued in the industry, as it demonstrates the candidate's ability to design and manage complex data solutions on the Salesforce platform. It is a highly specialized certification that requires a deep understanding of Salesforce data architecture principles and best practices, as well as hands-on experience in implementing data solutions in real-world scenarios.

 

NEW QUESTION # 46
Universal Containers has a legacy system that captures Conferences and Venues. These Conferences can occur at any Venue. They create hundreds of thousands of Conferences per year. Historically, they have only used 20 Venues. Which two things should the data architect consider when denormalizing this data model into a single Conference object with a Venue picklist? Choose 2 answers

  • A. Limitations on master -detail relationships.
  • B. Standard list view in -line editing.
  • C. Org data storage limitations.
  • D. Bulk API limitations on picklist fields.

Answer: B,D


NEW QUESTION # 47
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 # 48
Universal Containers (UC) is implementing a formal, cross -business -unit data governance program As part of the program, UC will implement a team to make decisions on enterprise -wide data governance. Which two roles are appropriate as members of this team? Choose 2 answers

  • A. Data Domain Stewards
  • B. Operational Data Users
  • C. Salesforce Administrators
  • D. Analytics/BI Owners

Answer: A,D

Explanation:
Analytics/BI Owners and Data Domain Stewards are appropriate roles as members of a team that makes decisions on enterprise-wide data governance. Analytics/BI Owners are responsible for defining the business requirements and metrics for data analysis and reporting, and Data Domain Stewards are responsible for defining and enforcing the data quality standards and rules for specific data domains. Salesforce Administrators and Operational Data Users are not suitable roles for this team, as they are more focused on the operational aspects of data management, such as configuration, maintenance, and usage.


NEW QUESTION # 49
Northern trail Outfitters (NTO) uses Sales Cloud and service Cloud to manage sales and support processes.
Some of NTOs team are complaining they see new fields on their page unsure of which values need be input.
NTO is concerned about lack of governance in making changes to Salesforce.
Which governance measure should a data architect recommend to solve this issue?

  • A. Create validation rules with error messages to explain why the fields is used
  • B. Create reports to identify which users are leaving blank, and use external data sources o agreement the missing data.
  • C. Create and manage a data dictionary and ups a governance process for changes made to common objects.
  • D. Add description fields to explain why the field is used, and mark the field as required.

Answer: C

Explanation:
To solve the issue of lack of governance in making changes to Salesforce, a data architect should recommend creating and managing a data dictionary and setting up a governance process for changes made to common objects. A data dictionary is a document that defines the metadata, structure, and relationship of each object and field in Salesforce. A governance process is a set of rules and procedures that govern how changes are proposed, reviewed, approved, and deployed in Salesforce. These measures will help NTO to maintain consistency, quality, and clarity of their data model and avoid confusion and errors among users. Option A is incorrect because adding description fields to explain why the field is used, and marking the field as required will not prevent unauthorized or unnecessary changes to Salesforce. Option C is incorrect because creating reports to identify which users are leaving blank, and using external data sources to augment the missing data will not address the root cause of the issue, which is the lack of governance in making changes to Salesforce.
Option D is incorrect because creating validation rules with error messages to explain why the fields are used will not stop users from seeing new fields on their page that they are unsure of.


NEW QUESTION # 50
Universal Containers (UC) has an open sharing model for its Salesforce users to allow all its Salesforce internal users to edit all contacts, regardless of who owns the contact. However, UC management wants to allow only the owner of a contact record to delete that contact. If a user does not own the contact, then the user should not be allowed to delete the record. How should the architect approach the project so that the requirements are met?

  • A. Set the profile of the users to remove delete permission from the Contact object.
  • B. Set the Sharing settings as Public Read Only for the Contact object.
  • C. Create a "before delete" trigger to check if the current user is not the owner.
  • D. Create a validation rule on the Contact object to check if the current user is not the owner.

Answer: C


NEW QUESTION # 51
Universal Containers (UC) has deployed Salesforce to manage Marketing. Sales, and Support efforts in a multi
-system ERP environment After reaching the limits of native reports & dashboards. UC leadership is looking to understand what options can be used to provide more analytical insights. What two approaches should an architect recommend? Choose 2 answers

  • A. AppExchange Apps
  • B. Wave Analytics
  • C. Weekly Snapshots
  • D. Setup Audit Trails

Answer: A,B

Explanation:
According to the exam guide, one of the objectives is to "describe the use cases and considerations for using AppExchange apps and Wave Analytics"1. This implies that options A and B are both valid approaches to provide more analytical insights. Option C is not correct because weekly snapshots are used to track changes over time, not to provide advanced analytics3. Option D is not correct because setup audit trails are used to monitor changes in the setup menu, not to provide analytical insights.


NEW QUESTION # 52
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 with LIMIT clause with Batch size 10,000.
  • B. Modify the export query that includes standard index fields(s).
  • C. Modify the export job header to specify Sforce-Enable-PKChunking.
  • D. Modify the export job header to specify Export-in-Parallel.

Answer: C

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 # 53
North Trail Outfitters (NTO) operates a majority of its business from a central Salesforce org, NTO also owns several secondary orgs that the service, finance, and marketing teams work out of, At the moment, there is no integration between central and secondary orgs, leading to data-visibility issues.
Moving forward, NTO has identified that a hub-and-spoke model is the proper architect to manage its data, where the central org is the hub and the secondary orgs are the spokes.
Which tool should a data architect use to orchestrate data between the hub org and spoke orgs?

  • A. Develop custom APIs to poll the spoke for change data and push into the org.
  • B. A backup and archive solution that extracts and restores data across orgs.
  • C. Develop custom APIs to poll the hub org for change data and push into the spoke orgs.
  • D. A middleware solution that extracts and distributes data across both the hub and spokes.

Answer: D


NEW QUESTION # 54
DreamHouse Realty has a Salesforce deployment that manages Sales, Support, and Marketing efforts in a multi-system ERP environment. The company recently reached the limits of native reports and dashboards and needs options for providing more analytical insights.
What are two approaches an Architect should recommend? (Choose two.)

  • A. AppExchange Apps
  • B. Weekly Snapshots
  • C. Setup Audit Trails
  • D. Einstein Analytics

Answer: A,D

Explanation:
Einstein Analytics can provide more analytical insights than native reports and dashboards by allowing users to explore data from multiple sources, create interactive visualizations, and apply AI-powered features5. AppExchange Apps can also provide more analytical insights by offering pre-built solutions or integrations with external tools that can enhance the reporting and analytics capabilities of Salesforce6.


NEW QUESTION # 55
North Trail Outfitters (NTO) operates a majority of its business from a central Salesforce org, NTO also owns several secondary orgs that the service, finance, and marketing teams work out of, At the moment, there is no integration between central and secondary orgs, leading to data-visibility issues.
Moving forward, NTO has identified that a hub-and-spoke model is the proper architect to manage its data, where the central org is the hub and the secondary orgs are the spokes.
Which tool should a data architect use to orchestrate data between the hub org and spoke orgs?

  • A. Develop custom APIs to poll the spoke for change data and push into the org.
  • B. A backup and archive solution that extracts and restores data across orgs.
  • C. Develop custom APIs to poll the hub org for change data and push into the spoke orgs.
  • D. A middleware solution that extracts and distributes data across both the hub and spokes.

Answer: D

Explanation:
According to the Salesforce documentation, a hub-and-spoke model is an integration architecture pattern that allows connecting multiple Salesforce orgs using a central org (hub) and one or more secondary orgs (spokes).
The hub org acts as the master data source and orchestrates the data flow between the spoke orgs. The spoke orgs act as the consumers or producers of the data and communicate with the hub org.
To orchestrate data between the hub org and spoke orgs, a data architect should use:
A middleware solution that extracts and distributes data across both the hub and spokes (option A). This means using an external service or tool that can connect to multiple Salesforce orgs using APIs or connectors, and perform data extraction, transformation, and distribution operations between the hub and spoke orgs. This can provide a scalable, flexible, and reliable way to orchestrate data across multiple orgs.
Developing custom APIs to poll the hub org for change data and push into the spoke orgs (option B) is not a good solution, as it can be complex, costly, and difficult to maintain. It may also not be able to handle large volumes of data or complex transformations efficiently. Developing custom APIs to poll the spoke orgs for change data and push into the hub org (option C) is also not a good solution, as it can have the same drawbacks as option B. It may also not be able to handle conflicts or errors effectively. Using a backup and archive solution that extracts and restores data across orgs (option D) is also not a good solution, as it can incur additional costs and dependencies. It may also not be able to handle real-time or near-real-time data orchestration requirements.


NEW QUESTION # 56
UC has migrated its Back-office data into an on-premise database with REST API access. UC recently implemented Sales cloud for its sales organization. But users are complaining about a lack of order data inside SF.
UC is concerned about SF storage limits but would still like Sales cloud to have access to the data.
Which design patterns should a data architect select to satisfy the requirement?

  • A. Build a UI for the on-premise system and iframe it in Salesforce
  • B. Develop a bidirectional integration between the on-premise system and Salesforce.
  • C. Use SF Connect to virtualize the data in SF and avoid storage limits.
  • D. Migrate and persist the data in SF to take advantage of native functionality.

Answer: C


NEW QUESTION # 57
Northern Trail Outfitter has implemented Salesforce for its associates nationwide, Senior management is concerned that the executive dashboard is not reliable for their real-time decision-making. On analysis, the team the following issues with data entered in Salesforce.
Information in certain records is incomplete.
Incorrect entry in certain fields causes records to be excluded in report fitters.
Duplicate entries cause incorrect counts.
Which three steps should a data architect recommend to address the issues?

  • A. Explore third-party data providers to enrich and augment information entered in salesforce.
  • B. Leverage Salesforce features, such as validate rules, to avoid incomplete and incorrect records.
  • C. Build a sales data warehouse with purpose-build data marts for dashboards and senior management reporting.
  • D. design and implement data-quality dashboard to monitor and act on records that are incomplete or incorrect
  • E. Periodically export data to cleanse data and import them back into Salesforce for executive reports.

Answer: A,B,C

Explanation:
According to the Salesforce documentation3, data quality is the measure of how well the data in Salesforce meets the expectations and requirements of the users and stakeholders. Data quality can be affected by various factors, such as data entry errors, data duplication, data inconsistency, data incompleteness, data timeliness, etc. To address the issues with data quality that affect the reliability of executive dashboards, a data architect should recommend:
Building a sales data warehouse with purpose-built data marts for dashboards and senior management reporting (option B). This means creating a separate database or system that stores and organizes sales data from Salesforce and other sources for analytical purposes. A data warehouse can provide a single source of truth for sales data and enable faster and more accurate reporting and analysis. A data mart is a subset of a data warehouse that focuses on a specific subject or business area, such as sales performance, customer segmentation, product profitability, etc. A data mart can provide tailored and relevant data for different users or groups based on their needs and interests.
Exploring third-party data providers to enrich and augment information entered in Salesforce (option C).
This means using external services or tools that can validate, correct, update, and enhance the data that is entered or imported into Salesforce. This can help improve data quality and accuracy, and reduce data duplication and incompleteness.
Leveraging Salesforce features, such as validation rules, to avoid incomplete and incorrect records (option D). This means using features that allow defining rules and criteria to validate the data that is entered or updated by the users or integrations. This can help prevent invalid or incorrect data from being saved, and trigger actions or alerts to correct or improve the data.
Periodically exporting data to cleanse data and import them back into Salesforce for executive reports (option A) is not a good solution, as it can be time-consuming, error-prone, and inefficient. It may also cause data inconsistency and synchronization issues between Salesforce and other systems. Designing and implementing data-quality dashboard to monitor and act on records that are incomplete or incorrect (option E) is also not a good solution, as it can be complex, costly, and difficult to maintain. It may also not address the root causes of data quality issues or prevent them from occurring in the first place.


NEW QUESTION # 58
Universal Containers (UC) is concerned about the accuracy of their Customer information in Salesforce. They have recently created an enterprise-wide trusted source MDM for Customer data which they have certified to be accurate. UC has over 20 million unique customer records in the trusted source and Salesforce. What should an Architect recommend to ensure the data in Salesforce is identical to the MDM?

  • A. Use an AppExchange package for Data Quality to match Salesforce data against the Trusted source.
  • B. Extract the Salesforce data into Excel and manually compare this against the trusted source.
  • C. Load the Trusted Source data into Salesforce and run an Apex Batch job to find difference.
  • D. Leave the data in Salesforce alone and assume that it will auto-correct itself over time.

Answer: A


NEW QUESTION # 59
Universal Containers (UC) owns a complex Salesforce org with many Apex classes, triggers, and automated processes that will modify records if available. UC has identified that, in its current development state, UC runs change of encountering race condition on the same record.
What should a data architect recommend to guarantee that records are not being updated at the same time?

  • A. Disable classes or triggers that have the potential to obtain the same record.
  • B. Migrate programmatic logic to processes and flows.
  • C. Refactor or optimize classes and trigger for maximum CPU performance.
  • D. Embed the keywords FOR UPDATE after SOQL statements.

Answer: D

Explanation:
According to the How to avoid row lock or race condition in Apex blog post, one of the ways to prevent race condition in Apex is to use the FOR UPDATE keyword in SOQL statements. The blog post states that "We need to lock the records on which we are working such that other batches or threads will not be having any effect on them. How can we lock a record, then? We need to make use of FOR UPDATE keyword in the SOQL query." Therefore, a data architect should recommend this solution to guarantee that records are not being updated at the same time by different processes.


NEW QUESTION # 60
Ursa Major Solar's legacy system has a quarterly accounts receivable report that compiles data from the following:
- Accounts
- Contacts
- Opportunities
- Orders
- Order Line Items
Which issue will an architect have when implemented this in Salesforce?

  • A. Custom report types CANNOT contain Opportunity data.
  • B. Salesforce does NOT allow more than four objects in a single report type.
  • C. Salesforce does NOT support Orders or Order Line Items.
  • D. A report CANNOT contain data from Accounts and Contacts.

Answer: B

Explanation:
The issue that an architect will have when implementing the quarterly accounts receivable report in Salesforce is that Salesforce does not allow more than four objects in a single report type. A report type defines the set of records and fields available to a report based on the relationships between a primary object and up to four related objects. A report type has the following limitations:
It cannot include more than four objects in a single report type, which means that the report cannot compile data from five objects (Accounts, Contacts, Opportunities, Orders, and Order Line Items) at once.
It cannot include objects that are more than two relationships away from each other, which means that the report cannot access fields from Order Line Items through Opportunities and Orders.
It cannot include objects that have a many-to-many relationship with each other, which means that the report cannot access fields from Contacts and Opportunities through the junction object Opportunity Contact Role.


NEW QUESTION # 61
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. Invest in data duplicate tool to de-dupe and merge duplicate records across all systems.
  • C. Use Salesforce CDC to sync customer data cross all systems to keep customer record in sync.
  • D. Create a customer master database external to Salesforce as a system of truth and sync the customer data with all systems.
  • E. Create a unique global customer ID for each customer and store that in all system for referential identity.

Answer: B,D,E


NEW QUESTION # 62
Universal Containers is creating a new B2C service offering for consumers to ship goods across continents.
This is in addition to their well-established B2B offering. Their current Salesforce org uses the standard Account object to track B2B customers. They are expecting to have over 50,000,000 consumers over the next five years across their 50 business regions. B2C customers will be individuals. Household data is not required to be stored. What is the recommended data model for consumer account data to be stored in Salesforce?

  • A. Create a new picklist value for B2C customers on the Account Type field.
  • B. Use the Account object with Person Accounts and a new B2C page layout.
  • C. Use the Account object with a newly created Record Type for B2C customers.
  • D. Use 50 umbrella Accounts for each region, with customers as associated Contacts.

Answer: B

Explanation:
The recommended data model for consumer account data to be stored in Salesforce is to use the Account object with Person Accounts and a new B2C page layout. Person Accounts are a special type of accounts that allow you to store information about individual consumers who are not associated with a business account2. Person Accounts have the following advantages3:
They allow you to use the same standard objects and features that you use for business accounts, such as contacts, opportunities, cases, etc.
They enable you to create different page layouts and record types for B2C and B2B customers, which allows you to customize the user interface and business logic for each segment.
They support large data volumes and can scale up to 50 million records or more, which meets the expected growth of consumers over the next five years.


NEW QUESTION # 63
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. Using a custom index on a deterministic formula field.
  • C. Using leading % wildcards.
  • D. Using NOT and != operators.
  • E. Performing large loads and deletions.

Answer: B,C,D


NEW QUESTION # 64
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Salesforce Data-Architect Certification Exam is a challenging yet rewarding certification for professionals who specialize in Salesforce data architecture and management. Salesforce Certified Data Architect certification demonstrates a deep understanding of Salesforce data architecture concepts, best practices, and implementation strategies, which is highly sought after by employers. If you are looking to advance your career in Salesforce data architecture and management, earning the Salesforce Data-Architect Certification is an excellent way to do so.

 

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