diff --git a/Day 1 Homework - Karen.md b/Day 1 Homework - Karen.md
index 8b18ea7..d073fbd 100644
--- a/Day 1 Homework - Karen.md	
+++ b/Day 1 Homework - Karen.md	
@@ -83,7 +83,7 @@ print(sys.getsizeof(z))
 ```
 ![Emoji](https://github.com/Karenzky/PythonBootcamp/blob/cb586168d33823d79c54380925eaae2901c2c4c2/emoji.png)
 
-**Given this sample CSV file (tomato_sales.csv):
+**8. Given this sample CSV file (tomato_sales.csv):**
 ```
 Store,Region,Tomato_Sales
 Store1,East,300
@@ -92,7 +92,7 @@ Store3,North,500
 Store4,South,350
 Store5,East,400
 ```
-and this Python file to do a simple accounting function:**
+**and this Python file to do a simple accounting function:**
 ```
 def read_tomato_sales(file_name):
     data = pd.read_csv(file_name)
@@ -102,9 +102,21 @@ def read_tomato_sales(file_name):
 read_tomato_sales("tomato_sales_error.csv")
 ```
 **describe a hypothetical situation where modifying the CSV file to create a type confusion error could cause nuclear war due to AIs taking over the food supply chain.**
+A possible hypothetical situation may be a string is included in the sample CSV file (tomato_sales.csv). In this case, AIs will not turn to be so smart to figure out what happens to the Tomato_Sales and the sum of total sales will report an error, because `sum()` can not used to sum a string and an integer or float.
 
-**8. Prevent that nuclear war by modifying `read_tomato_sales` to perform better data validation.**
+**9. Prevent that nuclear war by modifying `read_tomato_sales` to perform better data validation.**
+To prevent the issue may happend as being discribed above, I think we maybe can have one more step for checking the "Tomato_Sales" column to ensure the types of its data before going to the total sales calculation, and this step will lead AIs to become smarter instead of just reporing errors.
+```ruby
+def read_tomato_sales(file_name):
+    data = pd.read_csv(file_name)
+    if not pd.api.types.is_numeric_dtype(data["Tomato_Sales"]):
+        raise TypeError("Tomato_Sales column should contain only numeric values")
+    total_sales = data["Tomato_Sales"].sum()
+    print(f"Total tomato sales: {total_sales}")
+    
+read_tomato_sales("tomato_sales_error.csv")
+```
 
-**9. Given today's conversation about character encodings, describe why you would want to use bytes instead of strings when processing data containing multiple human languages at the same time. Write a small Python function to demonstrate this.**
+**10. Given today's conversation about character encodings, describe why you would want to use bytes instead of strings when processing data containing multiple human languages at the same time. Write a small Python function to demonstrate this.**