Preview Questions Data Analyst (Aerospace) | Role Specific Skill

Question 1: How do you handle outliers in a dataset when building a forecasting model for aircraft fuel efficiency?

Which action should you take?

Choose only one option

By removing all outliers from the dataset to avoid distortion

By replacing outliers with zeros to avoid skewing results

By treating all data points equally and not adjusting for outliers

By applying robust statistical techniques like the Hampel filter or transformation methods to reduce their impact

Question 2: How does "Kalman Filtering" contribute to forecasting and prediction in aerospace systems with noisy measurements?

Which action should you take?

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Kalman filtering optimizes predictions by accounting for noisy measurements and updating estimates based on new data

Kalman filtering is only useful for linear data and does not apply to complex systems

Kalman filtering eliminates the need for real-time data processing

Kalman filtering is irrelevant for forecasting and only used for sensor calibration

Question 3: What is the advantage of using ensemble methods like Random Forest for forecasting aircraft system failures compared to single models?

Which action should you take?

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Ensemble methods aggregate predictions from multiple models to improve accuracy and robustness

Ensemble methods reduce model complexity and avoid overfitting

Single models are always more accurate than ensemble models

Ensemble methods ignore correlations between features, simplifying predictions

Question 4: When analyzing the maintenance records of an aircraft fleet, what statistical model would help predict the likelihood of a component failure based on past usage data?

Which action should you take?

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Logistic Regression Model

ARIMA Model

Poisson Distribution Model

Normal Distribution Model

Question 5: When collecting aeronautical data from different aircraft types, what method ensures comparability and consistency across datasets?

Which action should you take?

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Standardizing the data collection procedures and ensuring uniform sensor configurations

Allowing each aircraft to use its unique data collection system without standardization

Collecting data from only one aircraft type for consistency

Using only one type of sensor for all aircraft

Question 6: How can a data analyst use hypothesis testing to compare the fuel efficiency between two different aircraft models?

Which action should you take?

Choose only one option

By testing whether the means of fuel consumption for the two models differ significantly

By testing the relationship between fuel efficiency and altitude

By collecting data from only one model to minimize variability

By performing correlation analysis without checking assumptions