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Salesforce Manufacturing Cloud: What Should Be the First Step in Validating Migrated Data?

Learn why comparing data with the source system is the first step in validating migrated data for Salesforce Manufacturing Cloud. Essential for certification success and effective data migration strategies.

Question

What should be the first step in validating migrated data?

A. Creating automated reports.
B. Comparing data with the source system.
C. Configuring dashboards for data visualization.
D. Setting up user roles for data access.

Answer

B. Comparing data with the source system.

Explanation

When validating migrated data, the first step is to ensure that the data transferred to Salesforce matches the original source system. This comparison is critical to confirm that all records have been accurately migrated without errors, omissions, or inconsistencies. Here’s why this step is foundational:

Data Accuracy and Completeness

Comparing the migrated data with the source ensures that no records are missing or duplicated.

It verifies that the relationships between objects (e.g., parent-child relationships) are maintained.

Error Identification

This step helps identify discrepancies such as incorrect mappings, formatting issues, or missing fields.

Migration logs and tools like Salesforce Data Loader or Import Wizard can assist in pinpointing these errors.

Foundation for Further Testing

Once data consistency with the source is established, other validation steps like creating reports or configuring dashboards can be performed confidently.

Why Not Other Options?

A. Creating automated reports: While reports help analyze and visualize data post-migration, they are not effective until you confirm that the data itself is accurate.
C. Configuring dashboards for data visualization: Dashboards rely on accurate underlying data. Without validating the migrated data first, dashboards might display incorrect insights.
D. Setting up user roles for data access: User roles determine access but do not validate whether the migrated data is correct or complete.

Best Practices for Data Validation

  • Conduct a field-by-field comparison between source and target systems.
  • Use tools to generate reports on record counts and key metrics in both systems.
  • Perform validations in a sandbox environment before moving to production.
  • Document discrepancies and resolve them before proceeding with further steps like report creation or dashboard setup.

By starting with a comparison against the source system, you lay a strong foundation for ensuring data integrity and successful use of Salesforce Manufacturing Cloud functionalities.

What Should Be the First Step in Validating Migrated Data?

Salesforce Manufacturing Cloud Professional certification exam assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Salesforce Manufacturing Cloud Accredited Professional exam and earn Salesforce Manufacturing Cloud Accredited Professional certification.