Salesforce Certified Platform Data Architect (Plat-Arch-201) Exam Questions

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Total 257 questions
Question 1

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?



Answer : B, D

Integrating Salesforce with ERP and making ERP the system of truth (option B) and implementing a de-dupe solution and establishing account ownership in Salesforce (option D) are the two solutions that a data architect should recommend to resolve the complaints. Option B ensures that account data is consistent and accurate across both systems, while option D prevents duplicate records and clarifies who owns each account in Salesforce. Building a nightly batch job to de-dupe data and merge account records (option A) is not a good solution, as it does not address the root cause of the duplication and may result in data loss or conflicts. Building a nightly sync job from ERP to Salesforce (option C) is also not sufficient, as it does not prevent duplication or establish ownership in Salesforce.


Question 2

Universal Containers (UC) is implementing Salesforce Sales Cloud and Service Cloud. As part of their implementation, they are planning to create a new custom object (Shipments), which will have a lookup relationship to Opportunities. When creating shipment records, Salesforce users need to manually input a customer reference, which is provided by customers, and will be stored in the Customer_Reference__c text custom field. Support agents will likely use this customer reference to search for Shipment records when resolving shipping issues. UC is expecting to have around 5 million shipment records created per year. What is the recommended solution to ensure that support agents using global search and reports can quickly find shipment records?



Answer : D

Setting Customer-Reference_c as an External ID (unique) is the recommended solution to ensure that support agents using global search and reports can quickly find shipment records.This is because external ID fields are indexed and can be used as filters in reports and list views4. Making the field unique also ensures that there are no duplicate values that could confuse the search results.


Question 3

A customer is operating in a highly reputated industry and is planning to implement SF. The customer information maintained in SF, includes the following:

Personally, identifiable information (PII)

IP restrictions on profiles organized by Geographic location

Financial records that need to be private and accessible only by the assigned Sales associate.

User should not be allowed to export information from Salesforce.

Enterprise security has mandate access to be restricted to users within a specific geography and detail monitoring of user activity. Which 3 Salesforce shield capabilities should a data architect recommend? Choose 3 answers:



Answer : B, D, E

The best Salesforce Shield capabilities for the customer are to restrict access to SF from users outside specific geography, implement transaction security policies to prevent export of SF data, and encrypt sensitive customer information maintained in SF. Salesforce Shield is a set of security features that help protect enterprise data on the Salesforce platform. It includes three components: Event Monitoring, Platform Encryption, and Field Audit Trail. Restricting access to SF from users outside specific geography can be done using network-based security features, such as IP whitelisting or VPN. Transaction security policies can be used to define actions or notifications based on user behavior patterns, such as exporting data or logging in from an unknown device. Platform Encryption can be used to encrypt data at rest using a tenant secret key that is controlled by the customer.


Question 4

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



Answer : A, B

Making use of a third-party tool to help merge duplicate Contacts across Accounts and using Data.com to standardize Contact address information to help identify duplicates are two solutions that UC should implement to cleanse their data and have a single Contact across departments. A third-party tool, such as an app from the AppExchange, can provide advanced features and capabilities for finding and merging duplicate Contacts across different Accounts, based on various criteria and rules. Data.com can provide address verification and standardization services that can enhance the quality and consistency of Contact address information and make it easier to identify duplicates.The other options are not feasible or effective for cleansing the data, as they would either not work across different Accounts, not address the root cause of duplication, or not provide sufficient functionality for merging duplicates


Question 5

Universal Containers has a public website with several forms that create Lead records in Salesforce using the REST API. When designing these forms, which two techniques will help maintain a high level of data quality?



Answer : A, B

Doing client-side validation of phone number and email field formats and preferring picklist form fields over free text fields, where possible, are two techniques that will help maintain a high level of data quality when designing forms that create Lead records in Salesforce using the REST API. Client-side validation can ensure that the input data is in the correct format and prevent errors or invalid values from being submitted. Picklist form fields can provide a predefined set of values for the users to choose from and avoid typos or inconsistencies in the data.


Question 6

Universal Containers wants to automatically archive all inactive Account data that is older than 3 years. The information does not need to remain accessible within the application. Which two methods should be recommended to meet this requirement? Choose 2 answers



Answer : C, D

Both C and D are valid methods to automatically archive and delete inactive Account data that is older than 3 years1.You can use an ETL tool or the Data Loader to schedule jobs to export and delete data based on certain criteria3. Option A is not recommended because the Force.com Workbench is a web-based tool that does not support scheduling or automation. Option B is not suitable because the weekly export file from the Salesforce UI does not delete data from Salesforce.


Question 7

Northern Trail Outfitters (NTO) has the following systems:

Customer master-source of truth for customer information

Service cloud-customer support

Marketing cloud-marketing support

Enterprise data warehouse---business reporting

The customer data is duplicated across all these systems and are not kept in sync. Customers are also complaining that they get repeated marketing emails and have to call into update their information.

NTO is planning to implement master data management (MDM) solution across the enterprise.

Which three data will an MDM tool solve?

Choose 3 answers



Answer : C, D, E

According to theWhat is Master Data Management (MDM)?article, some of the data challenges that an MDM tool can solve are data duplication, data accuracy and quality, and data standardization. The article states that ''MDM solutions comprise a broad range of data cleansing, transformation, and integration practices. As data sources are added to the system, MDM initiates processes to identify, collect, transform, and repair data. Once the data meets the quality thresholds, schemas and taxonomies are created to help maintain a high-quality master reference.'' Therefore, an MDM tool can help NTO eliminate data duplication across different systems, improve data accuracy and quality by removing errors and inconsistencies, and standardize data formats and definitions for better integration and analysis.


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