[2024年12月06日] A00-406のPDF問題とテストエンジンには98問があります
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質問 # 47
Which data source typically provides access to real-time financial market data?
- A. Online news websites
- B. Weather stations
- C. Social media platforms
- D. Stock market APIs
正解：D
質問 # 48
What is the main purpose of feature engineering in model building?
- A. Data visualization
- B. Model evaluation
- C. Creating new features or transforming existing ones to improve model performance
- D. Data preprocessing
正解：C
質問 # 49
In the context of data sources, what is meant by data versioning?
- A. Storing multiple copies of the same data to increase redundancy
- B. Compressing data to reduce storage space
- C. Encrypting data to protect against unauthorized access
- D. Keeping track of different versions or changes to data over time
正解：D
質問 # 50
Which of the following metrics is commonly used to evaluate the performance of a binary classification model in a machine learning pipeline?
- A. R-squared
- B. Mean Absolute Error (MAE)
- C. Accuracy
- D. Root Mean Squared Error (RMSE)
正解：C
質問 # 51
In a supervised machine learning pipeline, what is the purpose of the test data set?
- A. To train the machine learning model
- B. To preprocess the data
- C. To evaluate the model's predictions
- D. To validate the model's performance
正解：D
質問 # 52
In the context of model deployment, what is "model compliance"?
- A. The degree to which the model adheres to regulatory or ethical guidelines
- B. The model's efficiency
- C. The model's simplicity
- D. The process of feature selection
正解：A
質問 # 53
What is the primary objective of model evaluation in the context of building predictive models?
- A. Discovering patterns in data
- B. Assessing the model's performance and accuracy
- C. Cleaning the data
- D. Visualizing data
正解：B
質問 # 54
What is "model retraining" in the context of model deployment?
- A. The process of data preprocessing
- B. The process of feature selection
- C. Periodically updating and improving a deployed model with new data
- D. The process of building the initial model
正解：C
質問 # 55
What is the primary purpose of "continuous integration and continuous deployment" (CI/CD) in the context of model deployment?
- A. To visualize data distribution
- B. To automate the testing, integration, and deployment of new model versions
- C. To evaluate the model's accuracy
- D. To create synthetic data
正解：B
質問 # 56
When assessing a classification model, what is the confusion matrix used to measure?
- A. Model complexity
- B. Model accuracy
- C. Data distribution
- D. Precision and recall
正解：D
質問 # 57
Which of the following is a common source for external data in the context of business analytics?
- A. Company financial reports
- B. Intranet databases
- C. CRM data
- D. Employee records
正解：A
質問 # 58
In reinforcement learning, what is the "reward signal"?
- A. The final prediction made by the model
- B. A numerical value that indicates the performance of an action taken by the agent
- C. The accuracy of the model's predictions
- D. A regularization parameter
正解：B
質問 # 59
What is the primary role of a loss function in model training?
- A. To assess the accuracy of the model
- B. To visualize the data
- C. To maximize the model's performance
- D. To measure the difference between predicted and actual values
正解：D
質問 # 60
In a supervised learning pipeline, what is the role of the training data set?
- A. To test the model's generalization capability
- B. To validate the model's performance
- C. To evaluate the model's predictions
- D. To train the machine learning model
正解：D
質問 # 61
When deploying a model, what is "model explainability"?
- A. The process of data preprocessing
- B. The simplicity of the model
- C. The capability to interpret and understand the model's decisions and predictions
- D. The time it takes to make predictions
正解：C
質問 # 62
Which statements are true for the F1 score?
(Choose 2.)
- A. F1 score is calculated based on a depth value.
- B. F1 score is applicable to a model with a binary target.
- C. F1 score is applicable to a model with an interval target.
- D. F1 score is calculated based on a cut off value.
正解：B、D
質問 # 63
What is "model reevaluation" in the model deployment phase?
- A. The evaluation of data distribution
- B. The process of data preprocessing
- C. The periodic assessment of a deployed model's performance and potential retraining
- D. The process of selecting features
正解：C
質問 # 64
What does the term "bias" in machine learning refer to?
- A. Systematic errors that cause a model to consistently underpredict or overpredict
- B. A model's inability to generalize to new data
- C. The overall accuracy of a model
- D. The simplicity of a model
正解：A
質問 # 65
In the context of data integration, what does "data transformation" refer to?
- A. Extracting data from source systems
- B. Storing data in a centralized repository
- C. Backing up data for disaster recovery
- D. Converting and reshaping data to match the target schema
正解：D
質問 # 66
Which of the following is a common technique for handling missing data in a machine learning pipeline?
- A. Ignoring missing data
- B. Imputing missing values
- C. Deleting rows with missing data
- D. Replacing missing values with zeros
正解：B
質問 # 67
What does API stand for in the context of data sources?
- A. Application Programming Interface
- B. Advanced Programming Integration
- C. Application Program Interface
- D. Automated Program Integration
正解：A
質問 # 68
In model assessment, what does "cross-validation" aim to address?
- A. Overfitting and generalization
- B. Training a model
- C. Model deployment
- D. Data preprocessing
正解：A
質問 # 69
In the context of data sources, what is ETL?
- A. Efficient Text Link
- B. Extract, Transform, Load
- C. Execute, Terminate, Launch
- D. Examine, Test, Log
正解：B
質問 # 70
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