SALESFORCE DATA-ARCHITECT EXAM | VALID DATA-ARCHITECT TEST REGISTRATION - PASS-LEADING PROVIDER FOR YOUR DATA-ARCHITECT EXAM

Salesforce Data-Architect Exam | Valid Data-Architect Test Registration - Pass-leading Provider for your Data-Architect Exam

Salesforce Data-Architect Exam | Valid Data-Architect Test Registration - Pass-leading Provider for your Data-Architect Exam

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Salesforce Certified Data Architect Sample Questions (Q161-Q166):

NEW QUESTION # 161
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

  • A. Use Data.com to standardize Contact address information to help identify duplicates.
  • B. Use Workflow rules to standardize Contact information to identify and prevent duplicates.
  • C. Make use of the Merge Contacts feature of Salesforce to merge duplicates for an Account.
  • D. Make use of a third -party tool to help merge duplicate Contacts across Accounts.

Answer: A,D


NEW QUESTION # 162
Universal Containers (UC) is migrating from a legacy system to Salesforce CRM, UC is concerned about the quality of data being entered by users and through external integrations.
Which two solutions should a data architect recommend to mitigate data quality issues?

  • A. Leverage third-party- AppExchange tools
  • B. Leverage Apex to validate the format of data being entered via a mobile device.
  • C. Leverage picklist and lookup fields where possible
  • D. Leverage validation rules and workflows.

Answer: C,D

Explanation:
According to the Salesforce documentation1, 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 mitigate data quality issues, some of the recommended solutions are:
Leverage picklist and lookup fields where possible (option A). This means using fields that restrict the values or references that can be entered by the users or integrations. This can help reduce data entry errors, enforce data consistency, and improve data accuracy.
Leverage validation rules and workflows (option C). 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.
Leveraging Apex to validate the format of data being entered via a mobile device (option B) is not a good solution, as it can be complex, costly, and difficult to maintain. It is better to use standard features or declarative tools that can handle data validation more effectively. Leveraging third-party AppExchange tools (option D) is also not a good solution, as it can incur additional costs and dependencies. It is better to use native Salesforce features or custom solutions that can handle data quality more efficiently.


NEW QUESTION # 163
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 a custom object to maintain the relationship between products and customers.
  • B. Change the lookup relationship to master-detail relationship.
  • C. Select Clear the value of this field option while configuring the lookup relationship.
  • D. Create multiple similar products and distribute the skew across those products.

Answer: D

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 # 164
A national nonprofit organization is using Salesforce to recruit members. The recruitment process requires a member to be matched with a volunteer opportunity. Given the following:
1. A record is created in Project__ c and used to track the project through completion.
2. The member may then start volunteering and is required to track their volunteer hours, which is stored in VTOTime_c object related to the project.
3. Ability to view or edit the VTOTime__c object needs to be the same as the Project__ c record.
4. Managers must see total hours volunteered while viewing the Project__ c record.
Which data relationship should the data architect use to support this requirement when creating the custom VTOTime__c object?

  • A. Master Detail field on Project _c to VTOTime _c showing a list of VTOTime_c Records in a related list.
  • B. Lookup field on VTOTime_c to Project_c with formula filed on Project__ c showing Sum of hours from VTOTime__c records.
  • C. Lookup Field on Project_c to VTOTime_c displaying a list of VTOTime__c in a related list.
  • D. Master Detail Field on VTOTime_ c to Project_c with rollup summary field on Project __c showing sum of hours from VTOTime_c records.

Answer: D

Explanation:
A master-detail field on VTOTime__c to Project__c is the data relationship that the data architect should use to support the requirement when creating the custom VTOTime__c object. A master-detail relationship creates a parent-child relationship between two objects, where the master record controls certain behaviors of the detail record, such as security, ownership, deletion, and roll-up summary fields. By using a master-detail field on VTOTime__c to Project__c, you can ensure that the ability to view or edit the VTOTime__c object is the same as the Project__c record, and that managers can see the total hours volunteered while viewing the Project__c record using a roll-up summary field.


NEW QUESTION # 165
Northern Trail Outfitter has implemented Salesforce for its associates nationwide, Senior management is concerned that the executive dashboard are 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. design and implement data-quality dashboard to monitor and act on records that are incomplete or incorrect
  • B. Periodically export data to cleanse data and import them back into Salesforce for executive reports.
  • C. Explore third-party data providers to enrich and augment information entered in salesforce.
  • D. Build a sales data warehouse with purpose-build data marts for dashboards and senior management reporting.
  • E. Leverage Salesforce features, such as validate rules, to avoid incomplete and incorrect records.

Answer: C,D,E


NEW QUESTION # 166
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