Analyze Hashtag Follow Behavior with SQL Queries

Q: How do I practice SQL interview questions?

PracHub provides an interactive SQL console where you can write and test queries against real database schemas. Get instant feedback and compare your solution with the expected output.

Q: What difficulty level is this coding question?

This is a Medium difficulty Data Manipulation (SQL/Python) question, commonly asked during Onsite rounds at Meta.

Q: What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Meta during technical interviews.

Question

following_behavior

+------------+---------+-----------+---------------+
| date       | user_id | hashtag_id| hashtag_source|
+------------+---------+-----------+---------------+
|2023-08-12  | 101     | 9001      | feed          |
|2023-08-12  | 102     | 9002      | hashtag page  |
|2023-08-12  | 103     | 9001      | feed          |
|2023-08-12  | 104     | 9003      | hashtag page  |
|2023-08-12  | 105     | 9002      | feed          |

​

hashtag

+-----------+----------------+
| hashtag_id| hashtag_safety |
+-----------+----------------+
| 9001      | safety         |
| 9002      | violating      |
| 9003      | safety         |
| 9004      | violating      |

##### Scenario

Analyzing hashtag follow behaviors using SQL

##### Question

Which hashtag_source gained the most followers today? What percentage of hashtag followers coming from the 'hashtag page' follow hashtags that are marked as 'violating'?

##### Hints

PracHub · Accepted Answer

This question evaluates a candidate's competency in data manipulation and analytical SQL techniques—specifically aggregation, filtering, joins, and calculation of proportions—to analyze hashtag follow behavior.

Quick Overview

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