Real SASInstitute A00-406 practice exam questions for easy pass!
Updated: Sep 07, 2025
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1. In a supervised learning pipeline, what is the role of the training data set?
A) To evaluate the model's predictions
B) To validate the model's performance
C) To test the model's generalization capability
D) To train the machine learning model
2. Which type of model is typically used for time-series forecasting?
A) Decision Trees
B) Logistic Regression
C) K-Means Clustering
D) AutoRegressive Integrated Moving Average (ARIMA)
3. In reinforcement learning, what is the agent's objective?
A) To maximize a cumulative reward over time
B) To learn from labeled data
C) To generate synthetic data
D) To make predictions
4. Which of the following is an example of a NoSQL database that is commonly used to store unstructured data?
A) MongoDB
B) Oracle Database
C) MySQL
D) Microsoft SQL Server
5. What is overfitting in machine learning, and how can it be addressed in a pipeline?
A) Overfitting occurs when the model is too complex and overperforms.
B) Overfitting occurs when the model fits the training data too closely and may not generalize well. It can be addressed by regularization techniques.
C) Overfitting is not a concern in machine learning pipelines.
D) Overfitting occurs when the model is too simple and underperforms.
Solutions:
Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: B |
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