A CROSS JOIN returns the Cartesian product of two tables, pairing every row from the first table with every row from the second, resulting in all possible combinations-including duplicates. This is useful when you need every record matched with every record, which aligns with the requirement to return all records, even duplicates.
CompTIA Data+ Reference:
CompTIA Data+ Study Guide (Exam DA0-001), Chapter 3: Databases and Data Sources, Section "SQL Joins and Their Use Cases", Official CompTIA CertMaster Learn for Data+, Module 3.4 "Cross Joins and Data Output".

Alfonso had the highest score. A left skewed distribution is a distribution where the tail is longer on the left side than on the right side, meaning that most of the values are clustered on the right side and there are some outliers on the left side. In a left skewed distribution, the mean is less than the median, which is less than the mode. Therefore, Joseph, who scored at the mean, had the lowest score, Gaby, who scored at the end of the tail, had the second lowest score, and Alfonso, who scored at the median, had the highest score.
Reference: Skewness - Statistics How To

The 'Status' column in the dataset shows different terms such as "yes", "completed", "done", and "Y" that likely represent the same outcome - that a task has been completed. This variation in terms leads to inconsistency within the data. Data profiling aims to ensure that data is consistent, among other quality metrics, to facilitate accurate analysis and reporting. By recoding the 'Status' column, the analyst seeks to address this inconsistency, ensuring that all entries indicating completion are represented uniformly. This enhances the data quality and usability for subsequent data analysis tasks.References:
The action of recoding is taken to standardize the data entries and eliminate inconsistencies, which is crucial for maintaining data integrity and ensuring reliable data analysis.

A data refresh is a documentation element that indicates when the data was last updated or refreshed from the source. A data refresh can help the analyst to catch the error of the data warehouse not updating the data, as it will show a discrepancy between the expected and actual date of the data update. A data refresh can also help the users of the report to verify the timeliness and accuracy of the data, and to avoid making decisions based on outdated or incorrect data