Exam DP-600 topic 1 question 139 discussion

Step 1: Group by CustomerID and calculate the max version date per customer ID This step groups the data by CustomerID and determines the maximum VersionDate for each customer. This identifies the latest record for each customer. Step 2: Expand the All Rows detail column This step expands the detail column, making all the data within each group accessible. This is necessary to access the other columns associated with the maximum VersionDate. Step 3: Filter the query where the version date value equals the max version date value This step filters the data, keeping only the rows where the VersionDate matches the maximum VersionDate calculated in Step 1. This ensures that only the latest record for each customer is retained. Step 4: Remove duplicates based on CustomerID This step removes any remaining duplicate rows based on CustomerID. Since we've already filtered for the latest record, this step ensures only one record per customer remains.

1. Group by CustID, use All Rows, and calc max version date per cust id Note that if you Group By CustID and calc max date, you will lose the Customer Name column. 2. Expand All Rows detail column Note that this will re-create the table as it was before, but with an additional column for max date. 3. Filter where version date eq max version date This will effectively remove any duplicate CustID, keeping only the most recent. (If there were two at the same time, it will keep both, but let's not worry about that here.) 4. Remove max vers date Returning the table to the original columns.

Step 1: Group by CustomerID, use "All Rows" operation, and calculate the max version date per customer ID. In Group by advance setting, you can build a new column, such as "Customer" which choose option "All rows". Step 2: Expand the All Rows details column. you just choose which columns do you need to add in table Step 3: Filter the query where the version date value equals the max version date value: in same table, you can filter 2 columns and only keep max value rows. Step 4: Remove the max version date column

I cannot understand this question. after step "Group by CustomerID and calculate the max version date per customer ID", we just can get 2 columns, CustomerID and Max version date. How can we expand the all rows detail column? Normally I tend to choose these steps: Step 1: duplicate or reference source customer table Step 2: Group by CustomerID and calculate the max version date per customer ID in duplicated table Step 3: merge customer table and new grouped table with inner join Step 4: drop extended column which come from grouped table in this table.

Revised Answer suggested by Mistrai AI : (contains only 3 parts, not 4) >Group by CustomerID and calculate the max version date per customer ID: This step will help identify the latest version date for each customer. >Filter the query where the version date value equals the max version date value: This step will filter the records to keep only those with the latest version date. >Remove duplicates based on CustomerID: This step will ensure that only one record per customer is retained, which should be the latest version.