Salesforce Certified Data Architect: What should data architect recommend to ensure data quality is maintained?

Table of Contents

Question
Answer
Explanation
Reference

Question

Universal Containers needs to load a large volume of leads into Salesforce on a weekly basis. During this process the validation rules are disabled. What should a data architect recommend to ensure data quality is maintained in Salesforce?

A. Allow validation rules to be activated during the load of leads into Salesforce.
B. Develop a custom Batch Apex process to improve quality once the load is completed.
C. Activate validation rules once the leads are loaded into Salesforce to maintain quality.
D. Ensure the lead data is preprocessed for quality before loading into Salesforce.

Answer

D. Ensure the lead data is preprocessed for quality before loading into Salesforce.

Explanation

The correct answer is D. Ensure the lead data is preprocessed for quality before loading into Salesforce.

This is the most effective way to ensure data quality because it will prevent bad data from being loaded into Salesforce in the first place.

The other options are not as effective as preprocessing the lead data for quality.

Option A, allowing validation rules to be activated during the load of leads into Salesforce, would not be effective because the validation rules would only be able to catch bad data that was already in the lead data.
Option B, developing a custom Batch Apex process to improve quality once the load is completed, would be effective, but it would be more time-consuming and expensive than preprocessing the lead data for quality.
Option C, activating validation rules once the leads are loaded into Salesforce to maintain quality, would not be effective because the validation rules would only be able to catch bad data that was entered into Salesforce after the load was completed.

Therefore, the best way to ensure data quality when loading leads into Salesforce is to preprocess the lead data for quality before loading it into Salesforce.

Here are some additional details about preprocessing lead data for quality:

This can be done by using a third-party tool or by developing a custom script.
The preprocessing script should check the lead data for common errors, such as invalid email addresses, missing phone numbers, and duplicate leads.
The preprocessing script should also check the lead data for compliance with any data quality standards that your organization has in place.

By preprocessing the lead data for quality, you can help to ensure that only good data is loaded into Salesforce. This will help to improve the accuracy of your Salesforce data and make it easier to use Salesforce to make business decisions.

Reference

Salesforce Certified Data Architect certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Salesforce Certified Data Architect exam and earn Salesforce Certified Data Architect certification.