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Remote Technical Support Interview Questions
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The online test consisted of a series of tasks that involved building Excel pivot tables and performing other data analysis tasks to answer questions about a data set. I found the evaluation to be quite difficult but clever, well constructed, and extremely fascinating. It took me the better part of a morning, which was probably a bad sign. I also got a sense of the substance of the job while doing the test, and it was a bit different than my impressions going into the test and not the kind of role I would have wanted. I received a cordial email the next day with the bad news that I didn't do well enough on the test to warrant further consideration for the position. Although I felt a bit disappointed, I thought the process was fair and probably revealed a true disconnect between my interests and abilities and the requirements of the job.
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Home assignment: Create endpoints in a flask API application. Your solution **must persist data into a file** without using an ORM library or a DB system. Your solution **must use [open exchange rates][open-exchange-rates]** to get the exchange rates. The free plan is enough to complete this task. The response format of your API **must be JSON** and a proper use of HTTP status codes and error handling is expected. - `POST /listings` endpoint - Send JSON data in the body, for example: ``` { "title": "Comfortable Room In Cozy Neighborhood", "base_price": 867, "currency": "USD", "market": "san-francisco", "host_name": "John Smith" }, ``` All fields are required except for `host_name`. - Return: the listing information (including its ID) in a JSON format. - `GET /listings/:id` endpoint - Return: the listing information (including its ID) in a JSON format. - `PUT /listings/:id` endpoint - Send JSON data in the body - Update only the fields present in the request - Return: the listing information (including its ID) in a JSON format. - `DELETE /listings/:id` endpoint - A successful response must mean a listing was deleted. - `GET /listings` endpoint - Return: a list of listings in a JSON format. - This endpoint should allow to filter by market and base price/currency. Those filters must be implemented as query parameters: - `market` - optional - A single market or a list of markets separated by commas. It uses the market codes. - E.g.: `?market=paris` or `?market=paris,san-francisco` - `base_price.[e|gt|gte|lt|lte]` - optional - The comparison type is part of the query parameter. - E.g.: `?base_price.gt=500` or `?base_price.lte=300` - `currency` - optional but required when base price is specified - It uses the currency codes. - E.g.: `?currency=usd` - `GET /listings/:id/calendar` endpoint - This endpoint returns the listing's calendar (365 days starting from today). - It must allow to return the calendar in any currency. The default being the listing's currency. This parameter must be implemented as a query parameter: - `currency` - optional - It uses the currency codes. - E.g.: `?currency=usd` - Format for dates: `YYYY-MM-DD` - Calendar rules: - For the Paris and Lisbon markets: Saturday and Sunday => 1.5x of base price - For the San Francisco market: Wednesday => 0.70x of base price - For the rest of the markets: Friday => 1.25x of base price - Example of response: ``` [ { "date": "2019-01-01", "price": 500, "currency": "USD", }, { "date": "2019-01-02", "price": 550, "currency": "USD", }, ... ] ```
Technical interview included discussion of some unique business case type scenarios.
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