diff --git a/02_activities/assignments/DC_Cohort/Assignment1.md b/02_activities/assignments/DC_Cohort/Assignment1.md
index f78778f5b..2474a19a8 100644
--- a/02_activities/assignments/DC_Cohort/Assignment1.md
+++ b/02_activities/assignments/DC_Cohort/Assignment1.md
@@ -1,4 +1,4 @@
-# Assignment 1: Meet the farmersmarket.db and Basic SQL
+ef# Assignment 1: Meet the farmersmarket.db and Basic SQL
 
 🚨 **Please review our [Assignment Submission Guide](https://github.com/UofT-DSI/onboarding/blob/main/onboarding_documents/submissions.md)** 🚨 for detailed instructions on how to format, branch, and submit your work. Following these guidelines is crucial for your submissions to be evaluated correctly.
 
@@ -205,5 +205,5 @@ Consider, for example, concepts of fariness, inequality, social structures, marg
 
 
 ```
-Your thoughts...
+All data systems and technologies come with their own unavoidable weaknesses and require ongoing improvement. Since they are often initially designed to fulfill the needs of the dominant user base, it's nearly impossible to achieve perfect fairness or equity for all groups right out of the gate—it simply involves too many complex, case-specific factors. Therefore, the long-term health of any system relies on its ability to be flexible, adaptable, and open to change. As a system matures and receives feedback from the entirety of society, it can, and must, be improved to address and correct the inequalities baked into its original design.
 ```
diff --git a/02_activities/assignments/DC_Cohort/Farmer Market Logical Model (Partial).pdf b/02_activities/assignments/DC_Cohort/Farmer Market Logical Model (Partial).pdf
new file mode 100644
index 000000000..ccacfd276
Binary files /dev/null and b/02_activities/assignments/DC_Cohort/Farmer Market Logical Model (Partial).pdf differ
diff --git a/02_activities/assignments/DC_Cohort/assignment1.sql b/02_activities/assignments/DC_Cohort/assignment1.sql
index c992e3205..96fabcced 100644
--- a/02_activities/assignments/DC_Cohort/assignment1.sql
+++ b/02_activities/assignments/DC_Cohort/assignment1.sql
@@ -4,17 +4,23 @@
 
 --SELECT
 /* 1. Write a query that returns everything in the customer table. */
-
+SELECT*
+from customer
 
 
 /* 2. Write a query that displays all of the columns and 10 rows from the cus- tomer table, 
 sorted by customer_last_name, then customer_first_ name. */
-
+SELECT *
+FROM customer
+ORDER BY customer_last_name, customer_first_name
+LIMIT 10;
 
 
 --WHERE
 /* 1. Write a query that returns all customer purchases of product IDs 4 and 9. */
-
+SELECT*
+from customer_purchases
+WHERE product_id in (4,9);
 
 
 /*2. Write a query that returns all customer purchases and a new calculated column 'price' (quantity * cost_to_customer_per_qty), 
@@ -23,10 +29,16 @@ filtered by customer IDs between 8 and 10 (inclusive) using either:
 	2.  one condition using BETWEEN
 */
 -- option 1
-
+select * 
+,(quantity *  cost_to_customer_per_qty) as price
+from customer_purchases
+where customer_id >=8 and customer_id <=10;
 
 -- option 2
-
+select * 
+,(quantity *  cost_to_customer_per_qty) as price
+from customer_purchases
+where customer_id BETWEEN 8 and 10;
 
 
 --CASE
@@ -34,20 +46,38 @@ filtered by customer IDs between 8 and 10 (inclusive) using either:
 Using the product table, write a query that outputs the product_id and product_name
 columns and add a column called prod_qty_type_condensed that displays the word “unit” 
 if the product_qty_type is “unit,” and otherwise displays the word “bulk.” */
-
-
+SELECT*,
+CASE
+WHEN product_qty_type = "unit" THEN "unit"
+ELSE "bulk"
+end as product_type_condensed
+FROM product;
 
 /* 2. We want to flag all of the different types of pepper products that are sold at the market. 
 add a column to the previous query called pepper_flag that outputs a 1 if the product_name 
 contains the word “pepper” (regardless of capitalization), and otherwise outputs 0. */
-
+SELECT*,
+CASE
+WHEN product_qty_type = "unit" THEN "unit"
+ELSE "bulk"
+end as product_type_condensed, 
+CASE
+when product_name like '%pepper%' then '1'
+ELSE '0'
+end as pepper_flag
+FROM product;
 
 
 --JOIN
 /* 1. Write a query that INNER JOINs the vendor table to the vendor_booth_assignments table on the 
 vendor_id field they both have in common, and sorts the result by vendor_name, then market_date. */
-
-
+SELECT*
+from vendor as v
+INNER Join vendor_booth_assignments as vba
+on v.vendor_id = vba.vendor_id
+order by
+v.vendor_name,
+vba.market_date;
 
 
 /* SECTION 3 */
@@ -55,7 +85,11 @@ vendor_id field they both have in common, and sorts the result by vendor_name, t
 -- AGGREGATE
 /* 1. Write a query that determines how many times each vendor has rented a booth 
 at the farmer’s market by counting the vendor booth assignments per vendor_id. */
-
+SELECT 
+vendor_id,
+COUNT(*) AS total_booth_rentals
+FROM vendor_booth_assignments
+GROUP BY vendor_id;
 
 
 /* 2. The Farmer’s Market Customer Appreciation Committee wants to give a bumper 
@@ -63,8 +97,22 @@ sticker to everyone who has ever spent more than $2000 at the market. Write a qu
 of customers for them to give stickers to, sorted by last name, then first name. 
 
 HINT: This query requires you to join two tables, use an aggregate function, and use the HAVING keyword. */
-
-
+SELECT
+c.customer_id,
+c.customer_last_name,
+c.customer_first_name,
+sum(cp.quantity * cp.cost_to_customer_per_qty) as total_spent
+FROM customer as c
+Inner Join customer_purchases as cp
+on c.customer_id = cp.customer_id
+group by
+c.customer_id,
+c.customer_last_name,
+c.customer_first_name
+having total_spent > 2000
+order by
+c.customer_last_name, 
+c.customer_first_name;
 
 --Temp Table
 /* 1. Insert the original vendor table into a temp.new_vendor and then add a 10th vendor: 
@@ -77,8 +125,15 @@ When inserting the new vendor, you need to appropriately align the columns to be
 -> To insert the new row use VALUES, specifying the value you want for each column:
 VALUES(col1,col2,col3,col4,col5) 
 */
+CREATE TEMPORARY TABLE new_vendor as
+SELECT*
+from vendor;
 
+INSERT INTO new_vendor (vendor_id, vendor_name, vendor_type, vendor_owner_first_name, vendor_owner_last_name)
+VALUES (10, "Thomas Superfood Store", "Fresh Focused", "Thomas", "Rosenthal");
 
+SELECT* 
+FROM new_vendor;
 
 -- Date
 /*1. Get the customer_id, month, and year (in separate columns) of every purchase in the customer_purchases table.
@@ -86,6 +141,11 @@ VALUES(col1,col2,col3,col4,col5)
 HINT: you might need to search for strfrtime modifers sqlite on the web to know what the modifers for month 
 and year are! */
 
+SELECT 
+    customer_id,
+    strftime('%m', market_date) AS purchase_month,
+    strftime('%Y', market_date) AS purchase_year
+FROM customer_purchases;
 
 
 /* 2. Using the previous query as a base, determine how much money each customer spent in April 2022. 
@@ -94,3 +154,13 @@ Remember that money spent is quantity*cost_to_customer_per_qty.
 HINTS: you will need to AGGREGATE, GROUP BY, and filter...
 but remember, STRFTIME returns a STRING for your WHERE statement!! */
 
+SELECT 
+    customer_id,
+    strftime('%m', market_date) AS purchase_month,
+    strftime('%Y', market_date) AS purchase_year,
+	SUM(quantity * cost_to_customer_per_qty) AS total_spent
+FROM customer_purchases
+WHERE strftime('%Y', market_date) = '2022'
+  AND strftime('%m', market_date) = '04'
+GROUP BY customer_id
+ORDER BY customer_id;
\ No newline at end of file