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diff --git a/02_activities/assignments/Microcredential_Cohort/assignment1.sql b/02_activities/assignments/Microcredential_Cohort/assignment1.sql
index 2ec561e2a..861a32d0f 100644
--- a/02_activities/assignments/Microcredential_Cohort/assignment1.sql
+++ b/02_activities/assignments/Microcredential_Cohort/assignment1.sql
@@ -7,7 +7,8 @@
 /* 1. Write a query that returns everything in the customer table. */
 --QUERY 1
 
-
+SELECT *
+FROM customer;
 
 
 --END QUERY
@@ -17,7 +18,10 @@
 sorted by customer_last_name, then customer_first_ name. */
 --QUERY 2
 
-
+SELECT * 
+FROM customer 
+ORDER BY customer_last_name ASC, customer_first_name ASC
+LIMIT 10;
 
 
 --END QUERY
@@ -28,7 +32,10 @@ sorted by customer_last_name, then customer_first_ name. */
 Limit to 25 rows of output. */
 --QUERY 3
 
-
+SELECT *
+FROM customer_purchases
+WHERE product_id in (4,9)
+LIMIT 25;
 
 
 --END QUERY
@@ -43,7 +50,11 @@ Limit to 25 rows of output.
 */
 --QUERY 4
 
-
+SELECT *,
+quantity*cost_to_customer_per_qty AS price
+FROM customer_purchases
+WHERE customer_id between 8 and 10 
+LIMIT 25; 
 
 
 --END QUERY
@@ -56,7 +67,15 @@ columns and add a column called prod_qty_type_condensed that displays the word 
 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
@@ -67,6 +86,22 @@ add a column to the previous query called pepper_flag that outputs a 1 if the pr
 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 LOWER(product_name) LIKE '%pepper%' 
+		THEN 1
+	ELSE 0
+	END as pepper_flag
+	
+FROM product;
 
 
 
@@ -79,6 +114,13 @@ vendor_id field they both have in common, and sorts the result by market_date, t
 Limit to 24 rows of output. */
 --QUERY 7
 
+SELECT *
+
+FROM vendor as v
+INNER JOIN vendor_booth_assignments as vba
+	on v.vendor_id = vba.vendor_id
+ORDER BY vba.market_date ASC, v.vendor_name ASC
+LIMIT 24;
 
 
 
@@ -93,6 +135,14 @@ Limit to 24 rows of output. */
 at the farmer’s market by counting the vendor booth assignments per vendor_id. */
 --QUERY 8
 
+SELECT vendor_id, 
+booth_number,
+COUNT (* ) as booth_rental_count
+
+FROM vendor_booth_assignments
+
+GROUP BY vendor_id, booth_number
+ORDER BY vendor_id, booth_number;
 
 
 
@@ -105,6 +155,25 @@ 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 cp.customer_id,
+customer_first_name,
+customer_last_name,
+SUM(quantity* cost_to_customer_per_qty) AS total_spend
+
+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, -- weirdly the query fails when not grouped by names depite having the id 
+	c.customer_first_name
+
+HAVING SUM(quantity* cost_to_customer_per_qty) > 2000
+
+ORDER BY
+	c.customer_last_name,
+	c.customer_first_name;
 
 
 
@@ -124,9 +193,17 @@ 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, 'Thomass Superfood Store', 'Fresh Focused', 'Thomas', 'Rosenthal');
 
+SELECT * 
+FROM temp.new_vendor;
 
 --END QUERY
 
@@ -139,6 +216,12 @@ and year are!
 Limit to 25 rows of output. */
 --QUERY 11
 
+SELECT customer_id,
+strftime('%m', market_date) as purchase_month,
+strftime('%Y', market_date) as purchase_year
+
+FROM customer_purchases
+LIMIT 25;
 
 
 
@@ -153,6 +236,17 @@ but remember, STRFTIME returns a STRING for your WHERE statement...
 AND be sure you remove the LIMIT from the previous query before aggregating!! */
 --QUERY 12
 
+SELECT customer_id,
+SUM(quantity* cost_to_customer_per_qty) AS money_spent
+
+FROM customer_purchases
+
+WHERE strftime('%Y', market_date) = '2022'
+	AND strftime('%m', market_date) = '04'
+	
+
+GROUP BY customer_id;
+
 
 
 
diff --git a/02_activities/assignments/Microcredential_Cohort/assignment2.sql b/02_activities/assignments/Microcredential_Cohort/assignment2.sql
index 4079c18ae..66f749f6d 100644
--- a/02_activities/assignments/Microcredential_Cohort/assignment2.sql
+++ b/02_activities/assignments/Microcredential_Cohort/assignment2.sql
@@ -23,7 +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 
+product_name || ', ' || coalesce( product_size, '')|| ' (' || coalesce(product_qty_type, 'unit') || ')'
+FROM product;
 
 
 --END QUERY
@@ -40,7 +42,14 @@ each new market date for each customer, or select only the unique market dates p
 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 *,
+DENSE_RANK() OVER (
+        PARTITION BY customer_id
+        ORDER BY market_date
+    ) AS visit_number
+FROM customer_purchases
+WHERE market_date < '2022-04-29'
+ORDER BY customer_id, market_date ASC;
 
 
 
@@ -52,10 +61,26 @@ then write another query that uses this one as a subquery (or temp table) and fi
 only the customer’s most recent visit.
 HINT: Do not use the previous visit dates filter. */
 --QUERY 3
-
-
-
-
+SELECT
+    customer_id,
+    market_date as most_recent_visit
+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 unique_visits
+) AS numbered_visits
+WHERE visit_number = 1
+ORDER BY customer_id;
 --END QUERY
 
 
@@ -65,8 +90,18 @@ customer_purchases table that indicates how many different times that customer h
 You can make this a running count by including an ORDER BY within the PARTITION BY if desired.
 Filter the visits to dates before April 29, 2022. */
 --QUERY 4
-
-
+SELECT
+    customer_id,
+    market_date,
+    product_id,
+    quantity,
+       COUNT(*) OVER (
+        PARTITION BY customer_id, product_id
+        ORDER BY market_date
+    ) AS product_purchase_running_count
+FROM customer_purchases
+WHERE market_date < '2022-04-29'
+ORDER BY customer_id, product_id, market_date;
 
 
 --END QUERY
@@ -85,7 +120,19 @@ 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
@@ -94,8 +141,21 @@ 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
+    product_name,
+	product_size,
+    CASE
+        WHEN INSTR(product_name, '-') > 0 THEN
+            TRIM(
+                SUBSTR(
+                    product_name,
+                    INSTR(product_name, '-') + 1
+                )
+            )
+        ELSE NULL
+    END AS description
+FROM product
+WHERE product_size REGEXP '[0-9]';
 
 --END QUERY
 
@@ -111,7 +171,42 @@ 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 sales_by_date AS (
+    SELECT
+        market_date,
+        SUM(quantity * cost_to_customer_per_qty) 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 highest_sales_rank,
+        RANK() OVER (
+            ORDER BY total_sales ASC
+        ) AS lowest_sales_rank
+    FROM sales_by_date
+)
+
+SELECT
+    market_date,
+    total_sales,
+    'Highest Sales' AS sales_type
+FROM ranked_sales
+WHERE highest_sales_rank = 1
+
+UNION
+
+SELECT
+    market_date,
+    total_sales,
+    'Lowest Sales' AS sales_type
+FROM ranked_sales
+WHERE lowest_sales_rank = 1;
 
 
 --END QUERY
@@ -133,7 +228,39 @@ Before your final group by you should have the product of those two queries (x*y
 --QUERY 8
 
 
-
+WITH vendor_products AS (
+    SELECT DISTINCT
+        vendor_id,
+        product_id,
+        original_price
+    FROM vendor_inventory
+),
+
+vendor_product_customer AS (
+    SELECT
+        vp.vendor_id,
+        vp.product_id,
+        vp.original_price,
+        c.customer_id
+    FROM vendor_products AS vp
+    CROSS JOIN customer AS c
+)
+
+SELECT
+    v.vendor_name,
+    p.product_name,
+    SUM(5 * vpc.original_price) AS total_sales
+FROM vendor_product_customer AS vpc
+JOIN vendor AS v
+    ON vpc.vendor_id = v.vendor_id
+JOIN product AS p
+    ON vpc.product_id = p.product_id
+GROUP BY
+    v.vendor_name,
+    p.product_name
+ORDER BY
+    v.vendor_name,
+    p.product_name;
 
 --END QUERY
 
@@ -144,9 +271,19 @@ This table will contain only products where the `product_qty_type = 'unit'`.
 It should use all of the columns from the product table, as well as a new column for the `CURRENT_TIMESTAMP`.  
 Name the timestamp column `snapshot_timestamp`. */
 --QUERY 9
+CREATE TABLE product_units AS
+SELECT
+    *,
+    CURRENT_TIMESTAMP AS snapshot_timestamp
+FROM product
+WHERE 1 = 0;
 
-
-
+INSERT INTO product_units
+SELECT
+    *,
+    CURRENT_TIMESTAMP AS snapshot_timestamp
+FROM product
+WHERE product_qty_type = 'unit';
 
 --END QUERY
 
@@ -154,7 +291,13 @@ Name the timestamp column `snapshot_timestamp`. */
 /*2. Using `INSERT`, add a new row to the product_units table (with an updated timestamp). 
 This can be any product you desire (e.g. add another record for Apple Pie). */
 --QUERY 10
-
+INSERT INTO product_units
+SELECT
+    *,
+    CURRENT_TIMESTAMP AS snapshot_timestamp
+FROM product
+WHERE product_name = 'Apple Pie'
+LIMIT 1;
 
 
 
@@ -166,7 +309,13 @@ 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'
+  );
 
 
 
@@ -190,9 +339,26 @@ Finally, make sure you have a WHERE statement to update the right row,
 	you'll need to use product_units.product_id to refer to the correct row within the product_units table. 
 When you have all of these components, you can run the update statement. */
 --QUERY 12
+ALTER TABLE product_units
+ADD current_quantity INT;
 
-
-
+UPDATE product_units
+SET current_quantity = COALESCE(
+    (
+        SELECT
+            quantity
+        FROM vendor_inventory
+        WHERE vendor_inventory.product_id = product_units.product_id
+        ORDER BY market_date DESC
+        LIMIT 1
+    ),
+    0
+);
+
+SELECT
+   *
+FROM product_units
+ORDER BY product_id;
 
 --END QUERY
 
diff --git a/02_activities/assignments/Microcredential_Cohort/vendor-booth-assgn.jpeg b/02_activities/assignments/Microcredential_Cohort/vendor-booth-assgn.jpeg
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