# CI/CD and Code Quality (Data Engineering)

> Ruff, Pylint, Poetry, GitHub Actions, CI/CD pipelines, automated tests, pre-commit hooks, code coverage

- 20 interview questions
- Mid-Level
- [Interview Questions: Data Engineering](https://sharpskill.dev/en/technologies/data-engineering/interview-questions.md)

## 1. What is Ruff in the Python ecosystem?

**Answer**

Ruff is an extremely fast Python linter and formatter written in Rust. It advantageously replaces tools like Flake8, isort, and Black while offering 10 to 100 times better performance. Ruff supports over 700 linting rules and easily integrates into CI/CD pipelines and pre-commit hooks.

## 2. What is the main role of the pyproject.toml file with Poetry?

**Answer**

The pyproject.toml file is the central configuration file for a Python project with Poetry. It defines project metadata (name, version, description), production and development dependencies, scripts, and tool configurations like Ruff or pytest. This standardized file replaces setup.py, requirements.txt, and setup.cfg.

## 3. Which Poetry command installs all dependencies of an existing project?

**Answer**

The poetry install command reads pyproject.toml and poetry.lock files to install all project dependencies in an isolated virtual environment. If poetry.lock exists, exact versions are used to ensure reproducibility. Otherwise, Poetry resolves dependencies and creates the lock file.

## 17 more questions available

- What is a pre-commit hook in the Git context?
- What is the basic structure of a GitHub Actions workflow?

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## Other Data Engineering interview topics

- [Linux & Shell - Fundamentals](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/linux-shell-basics.md): 20 questions, Junior
- [Git & GitHub - Fundamentals](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/git-github-fundamentals.md): 20 questions, Junior
- [Advanced Python for Data Engineering](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/python-advanced-de.md): 25 questions, Junior
- [Docker - Fundamentals](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/docker-fundamentals.md): 25 questions, Junior
- [Google Cloud Platform - Fundamentals](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/gcp-fundamentals.md): 20 questions, Junior
- [Docker Compose](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/docker-compose.md): 20 questions, Mid-Level
- [FastAPI - Data APIs](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/fastapi.md): 20 questions, Mid-Level
- [Advanced SQL for Data Engineering](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/sql-advanced-de.md): 20 questions, Mid-Level
- [Data Lake - Architecture and Ingestion](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/data-lake.md): 20 questions, Mid-Level
- [BigQuery for Data Engineering](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/bigquery-de.md): 20 questions, Mid-Level
- [PostgreSQL - Administration](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/postgresql-admin.md): 20 questions, Mid-Level
- [Data Modeling for Data Engineering](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/data-modeling-de.md): 20 questions, Mid-Level
- [Fivetran & Airbyte - Data Ingestion](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/fivetran-airbyte.md): 20 questions, Mid-Level
- [dbt - Fundamentals](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/dbt-fundamentals-de.md): 20 questions, Mid-Level
- [Apache Airflow - Fundamentals](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/airflow-fundamentals.md): 20 questions, Mid-Level
- [Kubernetes - Fundamentals](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/kubernetes-fundamentals.md): 20 questions, Mid-Level
- [dbt - Advanced Features](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/dbt-advanced-de.md): 20 questions, Senior
- [ETL / ELT / ETLT Patterns](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/etl-elt-patterns.md): 20 questions, Senior
- [Apache Airflow - Advanced](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/airflow-advanced.md): 20 questions, Senior
- [Airflow + dbt - Pipeline Orchestration](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/airflow-dbt-integration.md): 20 questions, Senior
- [PySpark - Large-Scale Processing](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/pyspark.md): 20 questions, Senior
- [Google Pub/Sub - Data Streaming](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/pubsub-streaming.md): 20 questions, Senior
- [Apache Beam & Dataflow](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/apache-beam-dataflow.md): 20 questions, Senior
- [Kubernetes - Production and Scaling](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/kubernetes-advanced.md): 20 questions, Senior
- [Terraform - Infrastructure as Code](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/terraform.md): 20 questions, Senior
- [NoSQL Databases](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/nosql-databases.md): 20 questions, Senior
- [Modern Data Architecture](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/data-architecture.md): 20 questions, Senior
- [Monitoring and Observability](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/monitoring-observability.md): 20 questions, Senior
- [IAM and Data Security](https://sharpskill.dev/en/technologies/data-engineering/interview-questions/iam-security-de.md): 20 questions, Senior

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