Learn how to improve data consistency for contact records with this guide. Find out what data consistency is, why it is important, and how to achieve it using data cleansing and validation techniques.
Table of Contents
Question
Cloud Kicks discovered multiple variations of state and country values in contact records. Which data quality dimension is affected by this issue?
A. Usage
B. Accuracy
C. Consistency
Answer
C. Consistency
Explanation
The correct answer is C. Consistency. Consistency is a data quality dimension that measures how well the data values conform to a standard format, rule, or definition. Consistency is affected by multiple variations of state and country values in contact records, as they can cause confusion, ambiguity, or errors in data analysis and processing. For example, if some records use the full name of a state, while others use the abbreviation, or if some records use the country code, while others use the country name, the data is not consistent and may lead to inaccurate or incomplete results. To improve data consistency, Cloud Kicks should use a common format, rule, or definition for state and country values, and apply data cleansing and validation techniques to ensure that the data values are standardized and harmonized.
Consistency is the data quality dimension that is affected by multiple variations of state and country values in contact records. Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources. Inconsistent data can cause confusion, errors, or duplication in data analysis and processing.
The latest Salesforce AI Associate actual real practice exam question and answer (Q&A) dumps are available free, helpful to pass the Salesforce AI Associate certificate exam and earn Salesforce AI Associate certification.