Salesforce Certified Data Architecture Practice Test

What solutions should a data architect recommend to monitor and measure data quality?

1. Use custom objects and fields to identify issues.

2. Review data quality reports and dashboards.

3. Install and run data quality analysis dashboard app.

4. Export data for external checking of completeness.

The correct answer is: Review data quality reports and dashboards.

The choice to review data quality reports and dashboards is a strong recommendation for monitoring and measuring data quality because it allows data architects to visualize and assess the state of data across various dimensions, such as accuracy, completeness, consistency, and timeliness. By utilizing built-in reporting tools and dashboards within Salesforce, stakeholders can easily access and interpret critical data quality metrics. This method provides ongoing insights into data integrity over time, enabling the identification of trends and the pinpointing of specific issues that need to be addressed. Custom objects and fields to identify issues may capture data quality problems, but they typically require manual design and effort to set up and may not provide a comprehensive view of data quality status across the organization. Although installing a data quality analysis dashboard app might also offer valuable functionality, it can introduce additional complexity and might not leverage existing Salesforce tools that already fulfill the monitoring requirements. Exporting data for external checking of completeness can be helpful, but it is often cumbersome, lacks real-time monitoring, and may lead to delays in identifying and resolving data quality issues. In summary, leveraging data quality reports and dashboards offers a streamlined, effective approach for continuously monitoring and measuring data quality in Salesforce, making it the most suitable solution.