General Technical Tool Proficiency Questions
Familiarity and practical experience with technical productivity and analysis tools such as SQL, Python or R, data visualization platforms like Tableau and Power BI, Excel, and statistical or analytical software. Candidates should be able to describe depth of expertise, typical use cases, examples of real world applications, automation or scripting practices, and how they select tools for different problems. This topic includes discussing reproducible workflows, data preparation and cleaning, visualization best practices, and integration of tools into cross functional projects.
HardTechnical
0 practiced
Model accuracy dropped by 12% over two weeks. Describe a triage plan to determine whether this is due to data drift, label drift, concept drift, feature engineering regressions, or an operational issue. List hypotheses to test, quick statistical checks and visualizations, logs and artifacts to examine, and immediate mitigation steps to reduce business impact.
HardSystem Design
0 practiced
You are responsible for implementing PII controls across analytics tools (SQL, Tableau, S3, Jupyter notebooks). Design policies and technical controls (masking, tokenization, RBAC, audit logs), developer workflows, and automation to detect and prevent PII leakage while enabling authorized analytics workflows.
MediumTechnical
0 practiced
You are handing a trained scikit-learn model to engineers for deployment. Describe how to package the model into a minimal Docker image for reproducible inference, covering model serialization (joblib/pickle), dependency pinning (requirements.txt or conda-lock), Dockerfile best practices for small images, environment variables, and a minimal Flask or FastAPI prediction endpoint.
HardSystem Design
0 practiced
Propose a CI/CD strategy for data pipelines and model code that ensures reproducible builds, automated unit and integration tests, data contract checks, experiment promotion from staging to production, and safe rollbacks. Specify which tools you would use (GitHub Actions/GitLab CI, Terraform, DVC, MLflow) and how to gate deployments on test results and metrics.
HardTechnical
0 practiced
You need to introduce a new analytics stack (dbt, Snowflake, Tableau) to a company that currently relies on Excel. Draft a rollout plan covering pilot projects, migration strategy for critical reports, training and documentation, governance and ownership, short-term wins to build trust, and KPIs to measure adoption and return on investment.
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