J'ai postulé via une autre source. J'ai passé un entretien chez Meta
Entretien
Telephonic Interview: 30 mins SQL and 30 mins coding.
Expectation: 4/5 in SQL should be correct and 3/5 in coding should be correct.
Most of the folks have already explained this process in detail so will jump on the interview questions.
Questions d'entretien [4]
Question 1
want you to write me a simple spell checking engine.
The query language is a very simple regular expression-like language, with one special character: . (the dot character), which means EXACTLY ONE character (it can be any character). So, for example, 'c.t' would match 'cat' as the dot matches any character. There may be any number of dot characters in the query (or none).
Your spell checker will have to be optimized for speed, so you will have to write it in the required way. There would be a one-time setUp() function that does any pre-processing you require, and then there will be an isMatch() function that should run as fast as possible, utilizing that pre-processing.
There are some examples below, feel free to ask for clarification.
Word List:
[cat, bat, rat, drat, dart, drab]
Queries:
cat -> true
c.t -> true
.at -> true
..t -> true
d..t -> true
dr.. -> true
... -> true
.... -> true
..... -> false
h.t -> false
c. -> false
*/
// write a function
// Struct setup(List<String> list_of_words)
// Do whatever processing you want here
// with reasonable efficiency.
// Return whatever data structures you want.
// This function will only run once
// write a function
// bool isMatch(Struct struct, String query)
// Returns whether the query is a match in the
// dictionary (True/False)
// Should be optimized for speed
Given an array of integers, we would like to determine whether the array is monotonic (non-decreasing/non-increasing) or not.
Examples:
// 1 2 5 5 8
// true
// 9 4 4 2 2
// true
// 1 4 6 3
// false
//1 1 1 1 1 1
// true
products sales
+------------------+---------+ +------------------+---------+
| product_id | int |------->| product_id | int |
| product_class_id | int | +---->| store_id | int |
| brand_name | varchar | | +->| customer_id | int |
| product_name | varchar | | | | promotion_id | int |
| price | int | | | | store_sales | decimal |
+------------------+---------+ | | | store_cost | decimal |
| | | units_sold | decimal |
| | | transaction_date | date |
| | +------------------+---------+
| |
stores | | customers
+-------------------+---------+ | | +---------------------+---------+
| store_id | int |-+ +--| customer_id | int |
| type | varchar | | first_name | varchar |
| name | varchar | | last_name | varchar |
| state | varchar | | state | varchar |
| first_opened_date | datetime| | birthdate | date |
| last_remodel_date | datetime| | education | varchar |
| area_sqft | int | | gender | varchar |
+-------------------+---------+ | date_account_opened | date |
+---------------------+---------+
Question 1:
What brands have an average price above $3 and contain at least 2 different products?
Question 2:
To improve sales, the marketing department runs various types of promotions.
The marketing manager would like to analyze the effectiveness of these promotion campaigns.
In particular, what percent of our sales transactions had a valid promotion applied?
Question 3:
We want to run a new promotion for our most successful category of products
(we call these categories “product classes”).
Can you find out what are the top 3 selling product classes by total sales?
Question 4:
We are considering running a promo across brands. We want to target
customers who have bought products from two specific brands.
Can you find out which customers have bought products from both the
“Fort West" and the "Golden" brands?
Starts with a screen, followed by leetcode style SQL+Python questions, Full loop of SQL, Python, SQL plus Python and lastly behavioural round. Every round is also an architecture round in some sense.
Begins with an application review and recruiter screening, followed by a technical phone interview that assesses SQL, data modeling, data warehousing, ETL processes, and coding skills in languages such as Python or Java. Successful candidates then proceed to onsite or virtual interviews, which include multiple rounds covering coding, system design, data architecture, problem solving, and behavioral questions.
Questions d'entretien [1]
Question 1
Tell us about yourself and why you want to work for us
J'ai postulé en ligne. J'ai passé un entretien chez Meta (New York, NY)
Entretien
Prepare technical concepts, and practice previously asked questions as much as you can find online. 4 rounds in the total process. It's easy as long as you just practice a LOT.