Top 70+ Playwright Interview Questions & Answers 2026

Posted by  at October 9th, 2026

In the worst case, every character is an opener and stack space is O(n). A stack is the natural structure because the most recent unmatched opener must be closed first. Tests cover misses, updates, eviction order, zero capacity, and the stated thread-safety policy rather than assuming concurrent safety. A plain set intersection returns unique shared values and discards frequency and encounter order. A defaultdict(list) can append each record under its grouping key without a separate initialization branch.

• For more specialized functions with complex parameters, most interviewers allow quick reference checks.
• Python has built-in modules for JSON and CSV, for JSON you use the json module to load and dump data, and for CSV you use the csv module, these are very common in automation, data cleaning, and reports, and they are easy to use for basic files.
• The Python Memory Manager handles the allocation of this heap.
• Playwright provides several locator methods to target elements based on different criteria.
• Serverless data engineering is an approach where cloud providers automatically manage the infrastructure required for data processing.
• FastAPI’s use of Python type hints leads to better editor support, error checking, and refactoring capabilities.

Mastery of the import system enables runtime extensibility, REPL-friendly workflows, and microservice live-patches without downtime. Asyncio installs a wake-up file descriptor, making the signal handler write a byte to a pipe, which the loop monitors. With threads, child threads never receive signals directly; they rely on the main thread relaying shutdown events (condition variables, events, queues). Signals (e.g., SIGINT, SIGTERM) are delivered to the main thread only in CPython.
Bus Schema is a dimensional modeling approach used in data warehouses where multiple fact tables share common (conformed) dimensions. It is designed to provide rapid answers to complex queries by organizing data in a multidimensional format. Our platform is specifically designed for remote hiring with features like secure browser lockdown, AI proctoring, and real-time monitoring. It assesses the ability to filter elements based on their occurrence in a list. Practice questions based on strings, arrays, dictionaries, file handling, and exception handling to build confidence across different topics.
How do you handle datetime data in Pandas? It allows you to stack DataFrames vertically or horizontally. Categorical data in Pandas can be handled using the astype(‘category’) method to convert columns to categorical data type or by using the Categorical() constructor. How do you handle categorical data in Pandas?

Q1. What is PySpark and how is it different from Apache Spark?

With Playwright, you can efficiently gather data from sites that utilize JavaScript frameworks, providing a reliable solution for extracting dynamic content. Its support for multiple browser contexts also enables you to simulate different devices and browser environments, making it highly versatile for web scraping projects. Make sure your system supports the required dependencies for WebKit, particularly if you are running tests on macOS or iOS. By launching the WebKit browser and creating a new context, you can navigate to your desired web application and perform tests as you would with other supported browsers.

What is the importance of ETL testing?

Broadly, LLMs are https://uvik.io/ categorized as proprietary or open-source, based on whether the model weights and training details are publicly accessible. They help prevent harmful, biased or unintended responses, especially in user-facing applications involving sensitive information or decision-making tasks. Prompt Engineering is the practice of designing and refining input prompts for large language models (LLMs) to guide them toward producing accurate, relevant and context-aware outputs. Closed-Book Models and Retrieval-Augmented Generation (RAG) Models are two approaches used in Large Language Models (LLMs). They can interpret and combine information from different input types to perform complex reasoning and interaction tasks.
The tactics below come straight from how Citi candidates describe the session, not from generic OA advice. A clean explanation of a working approach counts even when you do not finish the last edge case. The middle 40 minutes are live coding on one or two problems. For data-aligned tracks, candidates report SQL queries, Python scripting, and Python OOP output-prediction questions.