Q1) two tables, orders and order items. Orders: (PK: ORDER_ID) ORDER_ID | ORDER_DATE | CUSTOMER_ID xyz 1/1/2019 person_a zzz 1/1/2019 person_b ... ... ... Order_items: (PK: ORDER_ID, ITEM_ID) ORDER_ID | ITEM_ID | QUANTITY xyz asin1 2 xyz asin2 1 zzz asin1 3 zzz asin3 2 zzz asin5 1 ... ... ... a. date with the greatest number of orders b. by day, the cumulative sum of quantity c.customers who placed orders on 2 consecutive days both days having greater than 2 order QUANTITY Q2) Routes question: Given a table with a combination of flight paths, how would you identify unique flights whichever city is the destination or arrival location. FROM | TO | DIST SEA SF 300 CHI SEA 2000 SF SEA 300 SEA CHI 2000 SEA LND 500 LND SEA 500 Q3) Sign on, sign off question: You have a table as follows: Agent_ID | Event | dateTimestamp a sign in 9am a sign out 10:02am a sign in 10:15am (took a break) a sign in 12am a sign in 13pm a sign off 19pm a sign in 22 pm a sign out 22:15 pm How would you approach writing a query which would calculate the duration in which agents were signed on during the day?. Do not include Break timings Outcome: A 1st jan 21 xxx hrs Q4). Can you give me a data model which will help answer the following questions. No SQL queries just the data model. a. Top grossing movie last year? b. All movies which starred Brad Pitt. c. Every actor which Bradd Pitt has worked with. d. Top Movies (star rating) for 2019? Q5) Deep Dive. Tell me one scenario where you found some gaps in your work which impacted a huge impact to the business/clients. How did you drill-through during that scenario?

1. Tell me about your previous work experience. 2. Asked few SQL questions