[2024] Free A00-406 Exam Dumps to Pass Exam Easily
A00-406 Exam Dumps, A00-406 Practice Test Questions
NEW QUESTION # 50
Which data source allows for real-time data streaming and processing?
- A. Data warehouses
- B. IoT devices
- C. Cloud storage
- D. Static data files
Answer: B
NEW QUESTION # 51
What is the primary difference between supervised and unsupervised learning in model building?
- A. The presence or absence of a target variable
- B. The type of data used
- C. The amount of labeled data required
- D. The use of feature engineering
Answer: A
NEW QUESTION # 52
What is the purpose of data profiling in data source management?
- A. To create data visualizations
- B. To execute data queries
- C. To optimize data storage
- D. To assess the quality and characteristics of data
Answer: D
NEW QUESTION # 53
In a machine learning pipeline, what is the purpose of cross-validation?
- A. To train multiple models on different subsets of the data to assess generalization
- B. To evaluate the model's performance on new data
- C. To split the dataset into training and testing sets
- D. To visualize the data distribution
Answer: A
NEW QUESTION # 54
When deploying a model, what is "model explainability"?
- A. The process of data preprocessing
- B. The capability to interpret and understand the model's decisions and predictions
- C. The simplicity of the model
- D. The time it takes to make predictions
Answer: B
NEW QUESTION # 55
What is the purpose of a confusion matrix in the context of classification models?
- A. To evaluate model performance, especially for binary classification
- B. To compute the mean squared error
- C. To visualize the data
- D. To summarize the distribution of target variables
Answer: A
NEW QUESTION # 56
Which of the following is a common technique for handling missing data in a machine learning pipeline?
- A. Replacing missing values with zeros
- B. Imputing missing values
- C. Deleting rows with missing data
- D. Ignoring missing data
Answer: B
NEW QUESTION # 57
Which feature extraction method can take both interval variables and class variables as inputs?
- A. Singular value decomposition
- B. Robust PCA
- C. Principal component analysis
- D. Autoencoder
Answer: D
NEW QUESTION # 58
Which of the following metrics is commonly used to evaluate the performance of a binary classification model in a machine learning pipeline?
- A. Root Mean Squared Error (RMSE)
- B. Mean Absolute Error (MAE)
- C. R-squared
- D. Accuracy
Answer: D
NEW QUESTION # 59
Which metric is commonly used to evaluate the performance of a regression model?
- A. F1 Score
- B. Precision
- C. Mean Absolute Error (MAE)
- D. Confusion Matrix
Answer: C
NEW QUESTION # 60
What does "data lineage" refer to in the context of data source management?
- A. The structure of a relational database
- B. The history of data transformation processes
- C. The security protocols for data access
- D. The physical location of data storage
Answer: B
NEW QUESTION # 61
What is the main advantage of ensemble methods in model building?
- A. They require minimal data preprocessing
- B. They combine multiple models to improve predictive performance
- C. They produce simple and interpretable models
- D. They work well with high-dimensional data
Answer: B
NEW QUESTION # 62
When building a recommendation system, what does "collaborative filtering" rely on?
- A. The characteristics of the items being recommended
- B. The popularity of items
- C. Item-based clustering
- D. The past behavior or preferences of users
Answer: D
NEW QUESTION # 63
What is "model versioning" in the context of model deployment?
- A. The process of evaluating model performance
- B. The practice of keeping track of different versions of a model to maintain reproducibility
- C. The process of creating synthetic data
- D. The process of training a model from scratch
Answer: B
NEW QUESTION # 64
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 for the model to make predictions once deployed
- C. The time it takes to train a model
- D. The time it takes to build a model
Answer: B
NEW QUESTION # 65
What is the main advantage of using a RESTful API (Representational State Transfer) as a data source?
- A. Simple and standardized communication
- B. Real-time data processing
- C. Support for complex data structures
- D. High security features
Answer: A
NEW QUESTION # 66
In the context of model deployment, what is "model compliance"?
- A. The model's simplicity
- B. The model's efficiency
- C. The process of feature selection
- D. The degree to which the model adheres to regulatory or ethical guidelines
Answer: D
NEW QUESTION # 67
Which type of data source typically stores structured data in a tabular format?
- A. NoSQL databases
- B. Text documents
- C. APIs
- D. Relational databases
Answer: D
NEW QUESTION # 68
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