オンラインA00-406テストブレーン問題集とテストエンジン [Q17-Q36]

オンラインA00-406テストブレーン問題集とテストエンジン

リアルSASInstitute A00-406試験問題集には正解98問題と解答があります

質問 # 17
Which hyperparameter in a decision tree model controls the depth of the tree and helps prevent overfitting?

A. Learning rate
B. Min samples split
C. Max features
D. Max depth

正解：D

質問 # 18
What is the purpose of a "canary release" in the context of model deployment?

A. To deploy a new model version to a small subset of users or systems for testing
B. To assess data quality
C. To create synthetic data
D. To evaluate model accuracy

正解：A

質問 # 19
When building a deep learning neural network, what is the purpose of the activation function in each neuron?

A. To introduce non-linearity
B. To initialize the model
C. To define the learning rate
D. To control the number of hidden layers

正解：A

質問 # 20
Which type of model is commonly used for anomaly detection in datasets?

A. Principal Component Analysis (PCA)
B. Linear Regression
C. Decision Trees
D. Clustering Models

正解：D

質問 # 21
In model evaluation, what is the purpose of a ROC curve (Receiver Operating Characteristic)?

A. To evaluate the mean squared error of a model
B. To visualize data distribution
C. To compare models' performance in terms of sensitivity and specificity
D. To measure feature importance

正解：C

質問 # 22
Refer to the treemap shown in the exhibit below:

Which statement is true about the tree map for a decision tree with a binary target?

A. The wider bars represent nodes with a higher probability of event.
B. The top bar represents the node with the highest count.
C. The top bar represents the node with the highest probability of event.
D. The darker bars represent nodes with a lower probability of event.

正解：B

質問 # 23
Which of the following metrics is commonly used to evaluate the performance of a binary classification model in a machine learning pipeline?

A. Mean Absolute Error (MAE)
B. R-squared
C. Accuracy
D. Root Mean Squared Error (RMSE)

正解：C

質問 # 24
Which feature extraction method can take both interval variables and class variables as inputs?

A. Singular value decomposition
B. Principal component analysis
C. Robust PCA
D. Autoencoder

正解：D

質問 # 25
In the context of model assessment, what does "bias" refer to?

A. The process of feature engineering
B. The simplicity of the model
C. A measure of the model's precision
D. A systematic error that causes a model to consistently overpredict

正解：D

質問 # 26
What is the main advantage of ensemble methods in model building?

A. They combine multiple models to improve predictive performance
B. They produce simple and interpretable models
C. They work well with high-dimensional data
D. They require minimal data preprocessing

正解：A

質問 # 27
When deploying a machine learning model, what is meant by "model latency"?

A. The time it takes to train a model
B. The time it takes for the model to make predictions once deployed
C. The time it takes to build a model
D. The time it takes to create synthetic data

正解：B

質問 # 28
What is the purpose of hyperparameter tuning in a machine learning pipeline?

A. To select the most important features
B. To train the model
C. To evaluate the model's predictions
D. To optimize the model's hyperparameters for better performance

正解：D

質問 # 29
Which SAS Viya component is typically used for deploying and monitoring machine learning models in production?

A. SAS Data Loader
B. SAS Model Manager
C. SAS Enterprise Miner
D. SAS Visual Analytics

正解：B

質問 # 30
Which type of model is well-suited for solving classification problems when dealing with high- dimensional data, such as text?

A. K-Means Clustering
B. Random Forest
C. Linear Regression
D. Support Vector Machine (SVM)

正解：D

質問 # 31
What is feature engineering in the context of machine learning pipelines?

A. Testing the model's performance
B. Applying the model to new data
C. Building a machine learning model from scratch
D. Creating new features from existing data

正解：D

質問 # 32
Which of the following best describes unstructured data?

A. Data with a clear schema
B. Data stored in a relational database
C. Data that is organized in rows and columns
D. Data that is difficult to process and lacks a predefined structure

正解：D

質問 # 33
What is the purpose of an ROC curve (Receiver Operating Characteristic) in model assessment?

A. To compare a model's true positive rate with the false positive rate
B. To visualize data distribution
C. To evaluate regression models
D. To measure feature importance

正解：A

質問 # 34
Given the following properties for a neural network model, which statement is true regrading hidden units in the model? The following SAS program is submitted: