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diff --git a/02_activities/assignments/Microcredential_Cohort/assignment1.sql b/02_activities/assignments/Microcredential_Cohort/assignment1.sql
index 2ec561e2a..16584a881 100644
--- a/02_activities/assignments/Microcredential_Cohort/assignment1.sql
+++ b/02_activities/assignments/Microcredential_Cohort/assignment1.sql
@@ -6,7 +6,8 @@
 --SELECT
 /* 1. Write a query that returns everything in the customer table. */
 --QUERY 1
-
+SELECT *
+FROM customer;
 
 
 
@@ -16,7 +17,10 @@
 /* 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;
 
 
 
@@ -27,7 +31,10 @@ 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;
 
 
 
@@ -42,7 +49,11 @@ filtered by customer IDs between 8 and 10 (inclusive) using either:
 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;
 
 
 
@@ -55,7 +66,13 @@ 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;
 
 
 
@@ -66,7 +83,17 @@ 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 LOWER(product_name) LIKE '%pepper%' THEN 1
+           ELSE 0
+       END AS pepper_flag
+FROM product;
 
 
 
@@ -78,7 +105,18 @@ 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.vendor_id,
+       v.vendor_name,
+       v.vendor_type,
+       v.vendor_owner_first_name,
+       v.vendor_owner_last_name,
+       vba.booth_number,
+       vba.market_date
+FROM vendor AS v
+INNER JOIN vendor_booth_assignments AS vba
+    ON v.vendor_id = vba.vendor_id
+ORDER BY vba.market_date, v.vendor_name
+LIMIT 24;
 
 
 
@@ -92,7 +130,11 @@ 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 times_rented
+FROM vendor_booth_assignments
+GROUP BY vendor_id
+ORDER BY vendor_id;
 
 
 
@@ -105,7 +147,15 @@ 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_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
+HAVING total_spent > 2000
+ORDER BY c.customer_last_name, c.customer_first_name;
 
 
 
@@ -124,10 +174,17 @@ When inserting the new vendor, you need to appropriately align the columns to be
 VALUES(col1,col2,col3,col4,col5) 
 */
 --QUERY 10
-
-
-
-
+CREATE TEMPORARY 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
 
 
@@ -138,7 +195,11 @@ HINT: you might need to search for strfrtime modifers sqlite on the web to know
 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;
 
 
 
@@ -152,7 +213,13 @@ HINTS: you will need to AGGREGATE, GROUP BY, and filter...
 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 total_spent
+FROM customer_purchases
+WHERE STRFTIME('%m', market_date) = '04'
+  AND STRFTIME('%Y', market_date) = '2022'
+GROUP BY customer_id
+ORDER BY customer_id;
 
 
 
diff --git a/02_activities/assignments/Microcredential_Cohort/assignment2.sql b/02_activities/assignments/Microcredential_Cohort/assignment2.sql
index 4079c18ae..b2a96969a 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 +42,19 @@ 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
+    customer_id,
+    market_date,
+    vendor_id,
+    product_id,
+    quantity,
+    cost_to_customer_per_qty,
+    DENSE_RANK() OVER (
+        PARTITION BY customer_id
+        ORDER BY market_date
+    ) AS visit_number
+FROM customer_purchases
+WHERE market_date < '2022-04-29';
 
 
 
@@ -52,7 +66,22 @@ 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 *
+FROM (
+    SELECT
+        customer_id,
+        market_date,
+        vendor_id,
+        product_id,
+        quantity,
+        cost_to_customer_per_qty,
+        DENSE_RANK() OVER (
+            PARTITION BY customer_id
+            ORDER BY market_date DESC
+        ) AS visit_number_desc
+    FROM customer_purchases
+) AS ranked_visits
+WHERE visit_number_desc = 1;
 
 
 
@@ -65,7 +94,19 @@ 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,
+    vendor_id,
+    product_id,
+    quantity,
+    cost_to_customer_per_qty,
+    COUNT(*) OVER (
+        PARTITION BY customer_id, product_id
+        ORDER BY market_date
+    ) AS purchase_count_running
+FROM customer_purchases
+WHERE market_date < '2022-04-29';
 
 
 
@@ -84,7 +125,14 @@ 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;
 
 
 
@@ -93,7 +141,16 @@ 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]';
 
 
 
@@ -110,7 +167,30 @@ HINT: There are a possibly a few ways to do this query, but if you're struggling
 3) Query the second temp table twice, once for the best day, once for the worst day, 
 with a UNION binding them. */
 --QUERY 7
-
+WITH daily_sales AS (
+    SELECT
+        market_date,
+        ROUND(SUM(quantity * cost_to_customer_per_qty), 2) 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 rank_best,
+        RANK() OVER (ORDER BY total_sales ASC)  AS rank_worst
+    FROM daily_sales
+)
+SELECT market_date, total_sales, 'Best Day' AS label
+FROM ranked_sales
+WHERE rank_best = 1
+
+UNION
+
+SELECT market_date, total_sales, 'Worst Day' AS label
+FROM ranked_sales
+WHERE rank_worst = 1;
 
 
 
@@ -131,7 +211,23 @@ Think a bit about the row counts: how many distinct vendors, product names are t
 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,
+    vi.original_price,
+    COUNT(DISTINCT c.customer_id)                         AS num_customers,
+    5 * COUNT(DISTINCT c.customer_id) * vi.original_price AS total_revenue
+FROM (
+    SELECT DISTINCT vendor_id, product_id, original_price
+    FROM vendor_inventory
+) AS vi
+CROSS JOIN (
+    SELECT DISTINCT customer_id FROM customer
+) AS c
+JOIN vendor  v ON v.vendor_id  = vi.vendor_id
+JOIN product p ON p.product_id = vi.product_id
+GROUP BY v.vendor_name, p.product_name, vi.original_price
+ORDER BY v.vendor_name, p.product_name;
 
 
 
@@ -144,7 +240,12 @@ 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 IF NOT EXISTS product_units AS
+SELECT
+    *,
+    CURRENT_TIMESTAMP AS snapshot_timestamp
+FROM product
+WHERE product_qty_type = 'unit';
 
 
 
@@ -154,7 +255,22 @@ 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 (
+    product_id,
+    product_name,
+    product_size,
+    product_category_id,
+    product_qty_type,
+    snapshot_timestamp
+)
+VALUES (
+    999,
+    'Apple Pie',
+    'whole',
+    1,
+    'unit',
+    CURRENT_TIMESTAMP
+);
 
 
 
@@ -166,7 +282,13 @@ 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_id = 999
+  AND snapshot_timestamp = (
+      SELECT MIN(snapshot_timestamp)
+      FROM product_units
+      WHERE product_id = 999
+  );
 
 
 
@@ -190,9 +312,21 @@ 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 = (
+    SELECT COALESCE(vi.quantity, 0)
+    FROM vendor_inventory vi
+    WHERE vi.product_id = product_units.product_id
+      AND vi.market_date = (
+          SELECT MAX(vi2.market_date)
+          FROM vendor_inventory vi2
+          WHERE vi2.product_id = product_units.product_id
+      )
+    LIMIT 1
+);
 
 --END QUERY