Free Data-Architect pdf Files With Updated and Accurate Dumps Training [Q141-Q161]

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Free Data-Architect pdf Files With Updated and Accurate Dumps Training

Top-Class Data-Architect Question Answers Study Guide

NO.141 Universal Containers has multiple systems all containing and maintaining customer dat a. Although point-to-point integrations are in place, customers are complaining about consistency in the data.
What solution should the data architect recommend?

Improve existing point-to-point integrations

Data cleanse each system

Perform a onetime synchronization to level set the built up inconsistencies

An MDM solution as the customer master, with centralized integrations to ensure consistency across all systems.

NO.142 Universal Containers (UC) has a Salesforce instance with over 10.000 Account records. They have noticed similar, but not identical. Account names and addresses. What should UC do to ensure proper data quality?

Make the Account Owner clean their Accounts’ addresses, then merge Accounts with the same address.

Run a report, find Accounts whose name starts with the same five characters, then merge those Accounts.

Enable Account de -duplication by creating matching rules in Salesforce, which will mass merge duplicate Accounts.

Use a service to standardize Account addresses, then use a 3rd -party tool to merge Accounts based on rules.

NO.143 Universal Containers is setting up an external Business Intelligence (BI) system and wants to extract 1,000,000 Contact records. What should be recommended to avoid timeouts during the export process?

Utilize the Bulk API to export the data.

Use the SOAP API to export data.

Schedule a Batch Apex job to export the data.

Use GZIP compression to export the data.

NO.144 Universal containers is implementing Salesforce lead management. UC Procure lead data from multiple sources and would like to make sure lead data as company profile and location information. Which solution should a data architect recommend to make sure lead data has both profile and location information? Option

Ask sales people to search for populating company profile and location data

Run reports to identify records which does not have company profile and location data

Leverage external data providers populate company profile and location data

Export data out of Salesforce and send to another team to populate company profile and location data

NO.145 UC is using SF CRM. UC sales managers are complaining about data quality and would like to monitor and measure data quality.
Which 2 solutions should a data architect recommend to monitor and measure data quality?
Choose 2 answers.

Install and run data quality analysis dashboard app

Review data quality reports and dashboards.

Export data and check for data completeness outside of Salesforce.

Use custom objects and fields to identify issues.

NO.146 A large multinational B2C Salesforce customer is looking to implement their distributor management application is Salesforce. the application has the following capabilities:
1.Distributor create sales order in salesforce
2.Sales order are based on product prices applicable to their region
3. Sales order are closed once they are fulfilled
4. It is decided to maintain the order in opportunity object
How should the data architect model this requirement?

Create lookup to Custom Price object and share with distributors.

Configure price Books for each region and share with distributors.

Manually update Opportunities with Prices application to distributors.

Add custom fields in Opportunity and use triggers to update prices.

NO.147 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?

Periodically export data to cleanse data and import them back into Salesforce for executive reports.

Build a sales data warehouse with purpose-build data marts for dashboards and senior management reporting.

Explore third-party data providers to enrich and augment information entered in salesforce.

Leverage Salesforce features, such as validate rules, to avoid incomplete and incorrect records.

design and implement data-quality dashboard to monitor and act on records that are incomplete or incorrect

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.

NO.148 Universal Containers (UC) has a multi-level master-detail relationship for opportunities, a custom opportunity line item object, and a custom discount request. UC has opportunity as master and custom line item object as detail in master-detail relationship. UC also has a custom line item object as master and a custom discount request object as detail in another master-detail relationship. UC has a requirement to show all sums of discounts across line items at an opportunity level. What is the recommended solution to address these requirements?

Use roll-up for the line-item-level summary and a trigger for the opportunity amount summary, as only one level roll-up is allowed.

Update the master-detail relationships to lookup relationships in order to allow the discount amount to roll up.

Remove the master-detail relationships and rely completely on workflow/triggers to summarize the discount amount.

Roll-up discount request amount at the line-item-level and line-item-level summary discount at the opportunity level.

NO.149 An architect is planning on having different batches to load one million Opportunities into Salesforce using the Bulk API in parallel mode. What should be considered when loading the Opportunity records?

Order batches by Auto -number field.

Group batches by the AccountId field.

Sort batches by Name field values.

Create indexes on Opportunity object text fields.

NO.150 Northern Trail Outfitters has these simple requirements for a data export process:
File format should be in CSV.
Process should be scheduled and run once per week.
The expert should be configurable through the Salesforce UI.
Which tool should a data architect leverage to accomplish these requirements?

Third-party ETL tool

Data export wizard

Bulk API

Data loader

NO.151 UC migrating 100,000 Accounts from an enterprise resource planning (ERP) to salesforce and is concerned about ownership skew and performance.
Which 3 recommendations should a data architect provide to prevent ownership skew?
Choose 3 answers:

Assign a default user as owner of account and do not assign any role to default user.

Assigned a default user as owner of accounts, and assign role in hierarchy.

Assign a default user as owner of accounts and assigned top most role in hierarchy.

Assign “view all” permission on profile to give access to account.

Keep users out of public groups that can be used as the source for sharing rules.

NO.152 Universal Container has a Sales Cloud implementation for a sales team and an enterprise resource planning (ERP) as a customer master Sales team are complaining about duplicate account and data quality issues with account data.
Which two solutions should a data architect recommend to resolve the complaints?

Build a nightly batch job to de-dupe data, and merge account records.

Integrate Salesforce with ERP, and make ERP as system of truth.

Build a nightly sync job from ERP to Salesforce.

Implement a de-dupe solution and establish account ownership in Salesforce

NO.153 An Architect needs information about who is creating, changing, or deleting certain fields within the past four months.
How can the Architect access this information?

Create a field history report for the fields in question.

After exporting the setup audit trail, find the fields in question.

After exporting the metadata, search it for the fields in question.

Remove “customize application” permissions from everyone else.

NO.154 A large Automobile company has implemented SF for its Sales Associates. Leads flow from its website to SF using a batch integration in SF. The Batch job connects the leads to Accounts in SF. Customer visiting their retail stores are also created in SF as Accounts.
The company has noticed a large number of duplicate accounts in SF. On analysis, it was found that certain customers could interact with its website and also visit the store. The Sales associates use Global Search to search for customers in Salesforce before they create the customers.
Which scalable option should a data Architect choose to implement to avoid duplicates?

Customize Account creation process to search if customer exists before creating an Account.

Implement a MDM solution to validate the customer information before creating Accounts in SF.

Create duplicate rules in SF to validate duplicates during the account creation process

Build Custom search based on fields on Accounts which can be matched with customer when they visit the store

NO.155 UC migrating 100,000 Accounts from an enterprise resource planning (ERP) to salesforce and is concerned about ownership skew and performance.
Which 3 recommendations should a data architect provide to prevent ownership skew?
Choose 3 answers:

Assigned a default user as owner of accounts, and assign role in hierarchy.

Keep users out of public groups that can be used as the source for sharing rules.

Assign a default user as owner of account and do not assign any role to default user.

Assign “view all” permission on profile to give access to account.

Assign a default user as owner of accounts and assigned top most role in hierarchy.

NO.156 Universal Containers wishes to maintain Lead data from Leads even after they are deleted and cleared from the Recycle Bin. What approach should be implemented to achieve this solution?

Use a Lead standard report and filter on the IsDeleted standard field.

Use a Converted Lead report to display data on Leads that have been deleted.

Query Salesforce with the queryAll API method or using the ALL ROWS SOQL keywords.

Send data to a Data Warehouse and mark Leads as deleted in that system.

NO.157 NTO processes orders from its website via an order management system (OMS). The OMS stores over 2 million historical records and is currently not integrated with SF. The Sales team at NTO using Sales cloud and would like visibility into related customer orders yet they do not want to persist millions of records directly in Salesforce. NTO has asked the data architect to evaluate SF connect and the concept of data verification. Which 3 considerations are needed prior to a SF Connect implementation?
Choose 3 answers:

Assess whether the external data source is reachable via an ODATA endpoint.

Identify the external tables to sync into external objects

Configure a middleware tool to poll external table data

Create a 2nd system Admin user for authentication to the external source.

Develop an object relationship strategy.

NO.158 Universal Containers (UC) has multi -level account hierarchies that represent departments within their major Accounts. Users are creating duplicate Contacts across multiple departments. UC wants to clean the data so as to have a single Contact across departments. What two solutions should UC implement to cleanse their data? Choose 2 answers

Make use of a third -party tool to help merge duplicate Contacts across Accounts.

Use Data.com to standardize Contact address information to help identify duplicates.

Use Workflow rules to standardize Contact information to identify and prevent duplicates.

Make use of the Merge Contacts feature of Salesforce to merge duplicates for an Account.

NO.159 Universal Containers (UC) has implemented Salesforce, UC is running out of storage and needs to have an archiving solution, UC would like to maintain two years of data in Saleforce and archive older data out of Salesforce.
Which solution should a data architect recommend as an archiving solution?

Build a batch join move all records off platform, and delete all records from Salesforce.

Use a third-party backup solution to backup all data off platform.

Build a batch job to move all restore off platform, and delete old records from Salesforce.

Build a batch join to move two-year-old records off platform, and delete records from Salesforce.

NO.160 Universal Containers (UC) has implemented Sales Cloud for its entire sales organization, UC has built a custom object called projects_c that stores customers project detail and employee bitable hours.
The following requirements are needed:
A subnet of individuals from the finance team will need to access to the projects object for reporting and adjusting employee utilization.
The finance users will not access to any sales objects, but they will need to interact with the custom object.
Which license type a data architect recommend for the finance team that best meets the requirements?

Service Cloud

Sales Cloud

Light Platform Start

Lighting platform plus

NO.161 Universal Containers (UC) is in the process of selling half of its company. As part of this split, UC’s main Salesforce org will be divided into two org:org A and org B, UC has delivered these requirements to its data architect
1. The data model for Org B will drastically change with different objects, fields, and picklist values.
2. Three million records will need to be migrated from org A to org B for compliance reasons.
3. The migrate will need occur within the next two month, prior to be split.
Which migrate strategy should a data architect use to successfully migrate the date?

use as ETL tool to orchestrate the migration.

Use Data Loader for export and Data Import Wizard for import

Write a script to use the Bulk API

Use the Salesforces CLI to query, export, and import

Salesforce Data-Architect (Salesforce Certified Data Architect) Certification Exam is a highly advanced certification program designed to validate the skills of experienced data architects in the Salesforce ecosystem. Salesforce Certified Data Architect certification exam is designed to test the candidates’ knowledge and expertise in various areas, including data modeling, data architecture, data integration, data governance, and data security. Data-Architect exam is ideal for data architects, data engineers, data analysts, and other professionals who work with Salesforce data on a regular basis.

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