[Jan 07, 2025] Powerful A00-406 PDF Dumps for A00-406 Questions
Authentic A00-406 Dumps - Free PDF Questions to Pass
NEW QUESTION # 42
Which type of model is well-suited for solving classification problems when dealing with high- dimensional data, such as text?
- A. Random Forest
- B. Linear Regression
- C. Support Vector Machine (SVM)
- D. K-Means Clustering
Answer: C
NEW QUESTION # 43
Which hyperparameter in a decision tree model controls the depth of the tree and helps prevent overfitting?
- A. Max features
- B. Learning rate
- C. Min samples split
- D. Max depth
Answer: D
NEW QUESTION # 44
What is the purpose of a "canary release" in the context of model deployment?
- A. To assess data quality
- B. To create synthetic data
- C. To evaluate model accuracy
- D. To deploy a new model version to a small subset of users or systems for testing
Answer: D
NEW QUESTION # 45
Which SAS Viya component is typically used for deploying and monitoring machine learning models in production?
- A. SAS Enterprise Miner
- B. SAS Visual Analytics
- C. SAS Data Loader
- D. SAS Model Manager
Answer: D
NEW QUESTION # 46
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:
- A. The number of hidden units is 1.
- B. The number of hidden units is 26.
- C. The number of hidden units is 50.
- D. There are no hidden units in the model.
Answer: B
NEW QUESTION # 47
What is the purpose of cross-validation in model building and evaluation?
- A. Reducing the dataset size
- B. Assessing the model's generalization performance
- C. Splitting the dataset into training and testing sets
- D. Generating synthetic data
Answer: B
NEW QUESTION # 48
When building a recommendation system, what does "collaborative filtering" rely on?
- A. The popularity of items
- B. The past behavior or preferences of users
- C. The characteristics of the items being recommended
- D. Item-based clustering
Answer: B
NEW QUESTION # 49
What is the difference between a classification problem and a regression problem in machine learning?
- A. Regression predicts categorical outcomes, while classification predicts numeric outcomes.
- B. Classification is a type of regression problem.
- C. There is no difference; the terms are used interchangeably.
- D. Classification predicts categorical outcomes, while regression predicts numeric outcomes.
Answer: D
NEW QUESTION # 50
What is the main purpose of feature engineering in model building?
- A. Data visualization
- B. Model evaluation
- C. Data preprocessing
- D. Creating new features or transforming existing ones to improve model performance
Answer: D
NEW QUESTION # 51
What is the purpose of hyperparameter tuning in a machine learning pipeline?
- A. To train the model
- B. To select the most important features
- C. To optimize the model's hyperparameters for better performance
- D. To evaluate the model's predictions
Answer: C
NEW QUESTION # 52
What is the primary goal of A/B testing in the context of model deployment?
- A. To assess data quality
- B. To create synthetic data
- C. To compare two different versions of a model or strategy to determine which performs better
- D. To evaluate the model's accuracy
Answer: C
NEW QUESTION # 53
What is metadata in the context of data sources?
- A. Data that is in a non-standard, proprietary format
- B. Data about data, providing information such as data source, structure, and context
- C. Data that is encrypted for security
- D. Data that is stored in a physical format
Answer: B
NEW QUESTION # 54
When assessing a classification model, what is the confusion matrix used to measure?
- A. Precision and recall
- B. Data distribution
- C. Model accuracy
- D. Model complexity
Answer: A
NEW QUESTION # 55
Which evaluation metric is commonly used for assessing the performance of a binary classification model?
- A. R-squared
- B. Accuracy
- C. Mean Absolute Error (MAE)
- D. Root Mean Squared Error (RMSE)
Answer: B
NEW QUESTION # 56
In reinforcement learning, what is the "reward signal"?
- A. A numerical value that indicates the performance of an action taken by the agent
- B. The accuracy of the model's predictions
- C. The final prediction made by the model
- D. A regularization parameter
Answer: A
NEW QUESTION # 57
What is "model versioning" in the context of model deployment?
- A. The process of creating synthetic data
- B. The practice of keeping track of different versions of a model to maintain reproducibility
- C. The process of training a model from scratch
- D. The process of evaluating model performance
Answer: B
NEW QUESTION # 58
What is the purpose of cross-entropy loss in machine learning, especially in the context of classification?
- A. To quantify the variance of a model
- B. To evaluate feature importance
- C. To measure the dissimilarity between predicted and actual class probabilities
- D. To calculate the mean squared error of a regression model
Answer: C
NEW QUESTION # 59
When deploying a machine learning model, what is meant by "model latency"?
- A. The time it takes to create synthetic data
- B. The time it takes to train a model
- C. The time it takes for the model to make predictions once deployed
- D. The time it takes to build a model
Answer: C
NEW QUESTION # 60
What does the term "bias" in machine learning refer to?
- A. Systematic errors that cause a model to consistently underpredict or overpredict
- B. The simplicity of a model
- C. A model's inability to generalize to new data
- D. The overall accuracy of a model
Answer: A
NEW QUESTION # 61
In the context of model assessment, what does "bias" refer to?
- A. A systematic error that causes a model to consistently overpredict
- B. A measure of the model's precision
- C. The simplicity of the model
- D. The process of feature engineering
Answer: A
NEW QUESTION # 62
Which type of data source typically stores structured data in a tabular format?
- A. APIs
- B. NoSQL databases
- C. Relational databases
- D. Text documents
Answer: C
NEW QUESTION # 63
In the context of data sources, what is ETL?
- A. Examine, Test, Log
- B. Execute, Terminate, Launch
- C. Extract, Transform, Load
- D. Efficient Text Link
Answer: C
NEW QUESTION # 64
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