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Question 182 - Certified Contact Center discussion

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Validating Contact Center metrics involves verifying data accuracy and interpretation. Which tool helps with data quality checks?

A.
Salesforce Data Loader for bulk data imports and basic field validation.
Answers
A.
Salesforce Data Loader for bulk data imports and basic field validation.
B.
Data Quality Rules within Salesforce highlighting missing information and formatting inconsistencies.
Answers
B.
Data Quality Rules within Salesforce highlighting missing information and formatting inconsistencies.
C.
Einstein Anomaly Detection identifying unusual patterns and potential data inaccuracies within metrics.
Answers
C.
Einstein Anomaly Detection identifying unusual patterns and potential data inaccuracies within metrics.
D.
All of the above, offering various options for ensuring data quality and reliable metric interpretation.
Answers
D.
All of the above, offering various options for ensuring data quality and reliable metric interpretation.
Suggested answer: D

Explanation:

Validating data quality and the accuracy of Contact Center metrics involves multiple tools and approaches: A. Salesforce Data Loader can be used for bulk data imports and performing basic field validations. B. Data Quality Rules help highlight missing information and formatting inconsistencies within Salesforce. C. Einstein Anomaly Detection tools identify unusual patterns that may indicate data inaccuracies. Employing these tools collectively enhances the reliability of data and the accuracy of metric interpretation across the Contact Center.

asked 23/09/2024
Omer Awad
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