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Top 47 Anomaly Detection Interview Questions
Entry Junior Mid Senior Expert
Anomaly Detection Theoretical Questions
Q1:
Explain what is Anomaly Detection?
Entry
Q2:
What are some applications of Anomaly Detection?
Entry
Q3:
What do you understand by the term Anomaly Detection?
Entry
Q4:
Why do we care about Anomalies?
Junior
Junior
Q6:
What is the Change Detection problem in Anomaly Detection?
Junior
Q7:
What is a Resolution-Based Outlier Detection?
Junior
Q8:
What are the Swamping and Masking problems in Anomaly Detection?
Junior
Q9:
Why is Anomaly Detection very important in the field of Science?
Junior
Q10:
Related To: Statistics
What are the differences in Anomalies for Uniform Distribution and Normal Distribution in One-Dimensional Data?
Related To: Statistics Junior
Junior
Junior
Junior
Mid Q15:
What are some shortcomings for Density-Based Anomaly Detection Algorithms?
Mid Q16:
What are some categories of outlier detection approaches?
Mid Q17:
Explain the Distance Based-Outlier Approach
Mid Mid Q19:
What Are some types of Anomalies?
Mid Q20:
What is the difference between Out of Distribution and Anomaly Detection?
Mid Mid Q22:
Explain the difference between Outlier Detection vs Novelty Detection
Mid Q23:
What are Explicit Models for Anomaly Detection?
Mid Mid Q25:
How would you evaluate the performance of Anomaly Detection Algorithms?
Mid Q26:
What are the three broad categories of Anomaly Detection?
Mid Q27:
Related To: Clustering
What are some of the differences between Anomaly Detection and Behaviour Detection?
Related To: Clustering Mid Q28:
Related To: K-Means Clustering
Explain some cases where k-Means clustering fails to give good results
Related To: K-Means Clustering Mid Mid Mid Q31:
Related To: Random Forest, Decision Trees, Logistic Regression
Imagine that you know there are outliers in your data, would you use Logistic Regression?
Related To: Random Forest, Decision Trees, Logistic Regression Senior Q32:
Related To: Clustering
How does Cluster Algorithms work on detecting Anomalies when the cluster sizes are different?
Related To: Clustering Senior Q33:
Related To: Clustering
What are some characteristics of Clustering Algorithms concerning Anomaly Detection?
Related To: Clustering Senior Q34:
How is Anomaly Detection performed in Models of Time-Varying Processes?
Senior Q35:
How are Independent Ensemble Methods used for Anomaly Detection?
Senior Q36:
Related To: Autoencoders, Neural Networks
Explain how Autoencoders can be used for Anomaly Detection?
Related To: Autoencoders, Neural Networks Senior Senior Q38:
What are some advantages of using Isolation Forest algorithm for outliers detection?
Senior Senior Q40:
How is Mahalanobis Distance used in Outlier Detection?
Senior Q41:
Related To: Data Processing, Linear Regression
How would you deal with Outliers in your dataset?
Related To: Data Processing, Linear Regression Senior Q42:
How does Dictionary Learning perform Anomaly Detection?
Senior Senior Q44:
Related To: Random Forest
What technique would you use to prevent Swamping and Masking for Isolation Forest Anomaly Detection?
Related To: Random Forest Expert Expert Q46:
How would you design a Real-time Anomaly Detection Algorithm?
Expert Anomaly Detection Practical Challenges
Q1:
Related To: Time Series
Implement a simple algorithm for Online Outlier Detection of a generic Time Series
Related To: Time Series
Mid 
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