diff --git a/02_activities/assignments/DC_Cohort/Assignment2.md b/02_activities/assignments/DC_Cohort/Assignment2.md
index be0eff3a5..8105bbf5d 100644
--- a/02_activities/assignments/DC_Cohort/Assignment2.md
+++ b/02_activities/assignments/DC_Cohort/Assignment2.md
@@ -59,6 +59,8 @@ The store wants to keep customer addresses. Propose two architectures for the CU
 Your answer...
 ```
 
+
+
 ***
 
 ## Section 2:
diff --git a/02_activities/assignments/DC_Cohort/assignment1.sql b/02_activities/assignments/DC_Cohort/assignment1.sql
index 2ec561e2a..229145df2 100644
--- a/02_activities/assignments/DC_Cohort/assignment1.sql
+++ b/02_activities/assignments/DC_Cohort/assignment1.sql
@@ -6,9 +6,8 @@
 --SELECT
 /* 1. Write a query that returns everything in the customer table. */
 --QUERY 1
-
-
-
+SELECT*
+FROM customer;
 
 --END QUERY
 
@@ -16,9 +15,10 @@
 /* 2. Write a query that displays all of the columns and 10 rows from the customer table, 
 sorted by customer_last_name, then customer_first_ name. */
 --QUERY 2
-
-
-
+SELECT *
+FROM customer
+ORDER BY customer_last_name, customer_first_name
+LIMIT 10;
 
 --END QUERY
 
@@ -27,9 +27,10 @@ sorted by customer_last_name, then customer_first_ name. */
 /* 1. Write a query that returns all customer purchases of product IDs 4 and 9. 
 Limit to 25 rows of output. */
 --QUERY 3
-
-
-
+SELECT *
+FROM customer_purchases
+WHERE product_id IN (4, 9)
+LIMIT 25;
 
 --END QUERY
 
@@ -42,9 +43,10 @@ filtered by customer IDs between 8 and 10 (inclusive) using either:
 Limit to 25 rows of output.
 */
 --QUERY 4
-
-
-
+SELECT quantity*cost_per_quantity AS price
+FROM customer_purchases
+WHERE customer_id BETWEEN 8 AND 10
+LIMIT 25;
 
 --END QUERY
 
@@ -55,9 +57,14 @@ Using the product table, write a query that outputs the product_id and product_n
 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.” */
 --QUERY 5
-
-
-
+SELECT 
+    product_id,
+    product_name,
+    CASE 
+        WHEN product_qty_type = 'unit' THEN 'unit'
+        ELSE 'bulk'
+    END AS prod_qty_type_condensed
+FROM product;
 
 --END QUERY
 
@@ -66,7 +73,18 @@ if the product_qty_type is “unit,” and otherwise displays the word “bulk.
 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. */
 --QUERY 6
-
+SELECT 
+    product_id,
+    product_name,
+    CASE 
+        WHEN product_qty_type = 'unit' THEN 'unit'
+        ELSE 'bulk'
+    END AS prod_qty_type_condensed,
+    CASE 
+        WHEN product_name LIKE '%pepper%' THEN 1
+        ELSE 0
+    END AS pepper_flag
+FROM product;
 
 
 
@@ -78,9 +96,16 @@ contains the word “pepper” (regardless of capitalization), and otherwise out
 vendor_id field they both have in common, and sorts the result by market_date, then vendor_name.
 Limit to 24 rows of output. */
 --QUERY 7
-
-
-
+SELECT 
+    v.*,
+    vba.*
+FROM vendor v
+INNER JOIN vendor_booth_assignments vba
+    ON v.vendor_id = vba.vendor_id
+ORDER BY 
+    vba.market_date,
+    v.vendor_name
+LIMIT 24;
 
 --END QUERY
 
@@ -92,9 +117,12 @@ Limit to 24 rows of output. */
 /* 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. */
 --QUERY 8
-
-
-
+SELECT 
+    vendor_id,
+    COUNT(*) AS booth_rental_count
+FROM vendor_booth_assignments
+GROUP BY vendor_id
+ORDER BY vendor_id;
 
 --END QUERY
 
@@ -105,9 +133,22 @@ 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. */
 --QUERY 9
-
-
-
+SELECT 
+    c.customer_id,
+    c.customer_first_name,
+    c.customer_last_name,
+    SUM(cp.quantity * cp.cost_per_quantity) AS total_spent
+FROM customer c
+INNER JOIN customer_purchases cp
+    ON c.customer_id = cp.customer_id
+GROUP BY 
+    c.customer_id,
+    c.customer_first_name,
+    c.customer_last_name
+HAVING SUM(cp.quantity * cp.cost_per_quantity) > 2000
+ORDER BY 
+    c.customer_last_name,
+    c.customer_first_name;
 
 --END QUERY
 
@@ -124,8 +165,12 @@ When inserting the new vendor, you need to appropriately align the columns to be
 VALUES(col1,col2,col3,col4,col5) 
 */
 --QUERY 10
+DROP TABLE IF EXISTS temp.new_vendor;
+CREATE TABLE temp.new_vendor AS
+SELECT * FROM vendor;
 
-
+INSERT INTO temp.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')
 
 
 --END QUERY
diff --git a/02_activities/assignments/DC_Cohort/assignment2.sql b/02_activities/assignments/DC_Cohort/assignment2.sql
index 4079c18ae..7ca6f3243 100644
--- a/02_activities/assignments/DC_Cohort/assignment2.sql
+++ b/02_activities/assignments/DC_Cohort/assignment2.sql
@@ -23,6 +23,9 @@ Edit the appropriate columns -- you're making two edits -- and the NULL rows wil
 All the other rows will remain the same. */
 --QUERY 1
 
+SELECT 
+COALESCE(product_name, '') || ', ' || COALESCE(product_size, 'unit') || ' (' || product_qty_type || ')' AS FINAL_PRODUCT_LIST
+FROM product;
 
 
 
@@ -41,6 +44,20 @@ HINT: One of these approaches uses ROW_NUMBER() and one uses DENSE_RANK().
 Filter the visits to dates before April 29, 2022. */
 --QUERY 2
 
+SELECT 
+    customer_id,
+    market_date,
+    ROW_NUMBER() OVER (
+        PARTITION BY customer_id
+        ORDER BY market_date
+    ) AS visit_number
+FROM (
+    SELECT DISTINCT
+        customer_id,
+        market_date
+    FROM customer_purchases
+    WHERE market_date < '2022-04-29'
+) AS visits;
 
 
 
@@ -53,6 +70,37 @@ only the customer’s most recent visit.
 HINT: Do not use the previous visit dates filter. */
 --QUERY 3
 
+SELECT 
+    customer_id,
+    market_date,
+    ROW_NUMBER() OVER (
+        PARTITION BY customer_id
+        ORDER BY market_date DESC
+    ) AS visit_number
+FROM (
+    SELECT DISTINCT
+        customer_id,
+        market_date
+    FROM customer_purchases
+) AS visits;
+
+SELECT *
+FROM (
+    SELECT 
+        customer_id,
+        market_date,
+        ROW_NUMBER() OVER (
+            PARTITION BY customer_id
+            ORDER BY market_date DESC
+        ) AS visit_number
+    FROM (
+        SELECT DISTINCT
+            customer_id,
+            market_date
+        FROM customer_purchases
+    ) AS visits
+) AS numbered_visits
+WHERE visit_number = 1;
 
 
 
@@ -66,7 +114,15 @@ You can make this a running count by including an ORDER BY within the PARTITION
 Filter the visits to dates before April 29, 2022. */
 --QUERY 4
 
-
+SELECT 
+    customer_id,
+    product_id,
+    market_date,
+    COUNT(*) OVER (
+        PARTITION BY customer_id, product_id
+    ) AS product_purchase_count
+FROM customer_purchases
+WHERE market_date < '2022-04-29';
 
 
 --END QUERY
@@ -85,7 +141,14 @@ Remove any trailing or leading whitespaces. Don't just use a case statement for
 Hint: you might need to use INSTR(product_name,'-') to find the hyphens. INSTR will help split the column. */
 --QUERY 5
 
-
+SELECT
+    product_name,
+    CASE
+        WHEN INSTR(product_name, '-') > 0
+        THEN TRIM(SUBSTR(product_name, INSTR(product_name, '-') + 1))
+        ELSE NULL
+    END AS description
+FROM product;
 
 
 --END QUERY
@@ -94,6 +157,9 @@ Hint: you might need to use INSTR(product_name,'-') to find the hyphens. INSTR w
 /* 2. Filter the query to show any product_size value that contain a number with REGEXP. */
 --QUERY 6
 
+SELECT *
+FROM product
+WHERE product_size REGEXP '[0-9]';
 
 
 
@@ -111,6 +177,36 @@ HINT: There are a possibly a few ways to do this query, but if you're struggling
 with a UNION binding them. */
 --QUERY 7
 
+WITH daily_sales AS (
+    SELECT
+        market_date,
+        SUM(quantity * cost_per_quantity) AS total_sales
+    FROM customer_purchases
+    GROUP BY market_date
+),
+ranked_sales AS (
+    SELECT
+        market_date,
+        total_sales,
+        RANK() OVER (ORDER BY total_sales DESC) AS sales_rank
+    FROM daily_sales
+)
+
+SELECT
+    market_date,
+    total_sales,
+    'best day' AS day_type
+FROM ranked_sales
+WHERE sales_rank = 1
+
+UNION
+
+SELECT
+    market_date,
+    total_sales,
+    'worst day' AS day_type
+FROM ranked_sales
+WHERE sales_rank = (SELECT MAX(sales_rank) FROM ranked_sales);
 
 
 
@@ -132,7 +228,20 @@ How many customers are there (y).
 Before your final group by you should have the product of those two queries (x*y).  */
 --QUERY 8
 
-
+SELECT
+    v.vendor_name,
+    p.product_name,
+    5 * COUNT(DISTINCT c.customer_id) * vi.quantity*original_price AS total_sales
+FROM vendor_inventory vi
+JOIN vendor v
+    ON vi.vendor_id = v.vendor_id
+JOIN product p
+    ON vi.product_id = p.product_id
+CROSS JOIN customer c
+GROUP BY
+    v.vendor_name,
+    p.product_name,
+    vi.quantity*original_price;
 
 
 --END QUERY
@@ -145,8 +254,13 @@ It should use all of the columns from the product table, as well as a new column
 Name the timestamp column `snapshot_timestamp`. */
 --QUERY 9
 
-
-
+DROP TABLE IF EXISTS temp.product_units;
+CREATE TEMP TABLE product_units AS
+SELECT
+    product.*,
+    CURRENT_TIMESTAMP AS snapshot_timestamp
+FROM product
+WHERE product_qty_type = 'unit';
 
 --END QUERY
 
@@ -155,7 +269,12 @@ Name the timestamp column `snapshot_timestamp`. */
 This can be any product you desire (e.g. add another record for Apple Pie). */
 --QUERY 10
 
-
+INSERT INTO product_units
+SELECT
+    product.*,
+    CURRENT_TIMESTAMP AS snapshot_timestamp
+FROM product
+WHERE product_name = 'Apple Pie';
 
 
 --END QUERY
@@ -167,7 +286,12 @@ This can be any product you desire (e.g. add another record for Apple Pie). */
 HINT: If you don't specify a WHERE clause, you are going to have a bad time.*/
 --QUERY 11
 
-
+DELETE FROM product_units
+WHERE product_name = 'Apple Pie'
+  AND snapshot_timestamp < (
+      SELECT MAX(snapshot_timestamp)
+      FROM product_units
+      WHERE product_name = 'Apple Pie');
 
 
 --END QUERY
diff --git a/02_activities/assignments/Microcredential_Cohort/LOGICAL DATA MODEL FOR BOOKSTORE.pdf b/02_activities/assignments/Microcredential_Cohort/LOGICAL DATA MODEL FOR BOOKSTORE.pdf
new file mode 100644
index 000000000..d2d9bc424
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diff --git a/05_src/sql/farmersmarket.db b/05_src/sql/farmersmarket.db
index cdce82204..fb6c49a1b 100644
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