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Super Data-Architect Preparation Quiz represents you the most precise Exam Dumps - FreeDumps

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Salesforce Certified Data Architect Sample Questions (Q119-Q124):

NEW QUESTION # 119
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?

A. Create duplicate rules in SF to validate duplicates during the account creation process
B. Implement a MDM solution to validate the customer information before creating Accounts in SF.
C. Build Custom search based on fields on Accounts which can be matched with customer when they visit the store
D. Customize Account creation process to search if customer exists before creating an Account.

Answer: A

NEW QUESTION # 120
NTO (Northern Trail Outlets) has a complex Salesforce org which has been developed over past 5 years. Internal users are complaining abt multiple data issues, including incomplete and duplicate data in the org. NTO has decided to engage a data architect to analyze and define data quality standards.
Which 3 key factors should a data architect consider while defining data quality standards? Choose 3 answers:

A. Measure data completeness and accuracy
B. Finalize an extract transform load (ETL) tool for data migration
C. Define key fields in staging database for data cleansing
D. Measure data timeliness and consistency
E. Define data duplication standards and rules

Answer: A,D,E

Explanation:
Defining data duplication standards and rules, measuring data timeliness and consistency, and measuring data completeness and accuracy are three key factors that a data architect should consider while defining data quality standards. Defining data duplication standards and rules can help prevent or reduce duplicate records in the org by specifying criteria and actions for identifying and merging duplicates. Measuring data timeliness and consistency can help ensure that the data is up-to-date, reliable, and synchronized across different sources. Measuring data completeness and accuracy can help ensure that the data is sufficient, relevant, and correct for the intended purposes.

NEW QUESTION # 121
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. Standard list view in -line editing.
B. Limitations on master -detail relationships.
C. Org data storage limitations.
D. Bulk API limitations on picklist fields.

Answer: A,D

Explanation:
When denormalizing a data model into a single object with a picklist field, the data architect should consider the Bulk API limitations on picklist fields and the standard list view in-line editing. The Bulk API has a limit of 1,000 distinct picklist values per file1, which could be an issue if there are more than 1,000 venues in the future. The standard list view in-line editing allows users to edit multiple records at once, which could introduce data quality issues if the venue picklist is not validated or restricted2. The other options are not relevant to denormalizing a data model.

NEW QUESTION # 122
Universal Containers (UC) wants to store product data in Salesforce, but the standard Product object does not support the more complex hierarchical structure which is currently being used in the product master system. How can UC modify the standard Product object model to support a hierarchical data structure in order to synchronize product data from the source system to Salesforce?

A. Create a custom lookup filed on the standard Product to reference the child record in the hierarchy.
B. Create a custom lookup field on the standard Product to reference the parent record in the hierarchy.
C. Create a custom master-detail field on the standard Product to reference the child record in the hierarchy.
D. Create an Apex trigger to synchronize the Product Family standard picklist field on the Product object.

Answer: B

NEW QUESTION # 123
Universal Containers would like to remove data silos and connect their legacy CRM together with their ERP and with Salesforce. Most of their sales team has already migrated to Salesforce for daily use, although a few users are still on the old CRM until some functionality they require is completed. Which two techniques should be used for smooth interoperability now and in the future.

A. Replicate ongoing changes in the legacy CRM to Salesforce to facilitate a smooth transition when the legacy CRM is eventually retired.
B. Specify the legacy CRM as the system of record during transition until it is removed from operation and fully replaced by Salesforce.
C. Work with stakeholders to establish a Master Data Management plan for the system of record for specific objects, records, and fields.
D. Do not connect Salesforce and the legacy CRM to each other during this transition period, but do allow both to interact with the ERP.

Answer: B,C

Explanation:
Specify the legacy CRM as the system of record during transition until it is removed from operation and fully replaced by Salesforce. This is a good technique to ensure data consistency and avoid conflicts between the two systems. Work with stakeholders to establish a Master Data Management plan for the system of record for specific objects, records, and fields. This is another good technique to define the data governance and stewardship policies and processes for managing data quality and integrity across multiple systems

NEW QUESTION # 124
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