Describe the algorithm you use to find and optimize slow queries. Can you share a real case?
Why are you searching? What are you currently looking for?
Apart from government services, what other integrations have you implemented?
Do you have any questions about the vacancy and conditions?
class Rectangle: def set_width(self, width): self._width = width def set_height(self, height): self._height = height def get_area(self): return self._width * self._height class Square(Rectangle): def set_width(self, width): self._width = width self._height = width def set_height(self, height): self._width = height self._height = height
How is an instance of a class initialized in Python and what is the purpose of __new__?
What types of tests are there?
How did the services interact with each other?
If you have seen slow queries, how did you analyze the problem and what solutions did you implement? Is there a real case?
lru_cache or Redis/Memcached — which is better to use and when?
In your code, the mmdc function is called twice - during validation and rendering. How can you optimize the code so that the utility is called only once?
How do you feel about routine tasks like refactoring legacy code?
What stack would you use for a database, especially for vector search (Qdrant or pgvector)?
Have you ever encountered Yandex.Lokomobox?
What is offset in Kafka and what is it used for?
Tell me about the team and how the processes were conducted.
How did you onboard two new developers?
What is the final complexity of the algorithm after removing the quadratic operation? Is it correct that the size of the alphabet m does not affect the time complexity at all?
[name] asked: Imagine you have two offers — from our company and another. What criteria will you use to choose, and what might sway you towards the other company?
What is a lambda function in Python and when is it used?