[Jan-2025] A00-406 Certification with Actual Questions from Exam4Tests
Updated A00-406 Dumps PDF - A00-406 Real Valid Brain Dumps With 98 Questions!
NEW QUESTION # 33
Which metric is commonly used to evaluate the performance of a regression model?
- A. Confusion Matrix
- B. Precision
- C. Mean Absolute Error (MAE)
- D. F1 Score
Answer: C
NEW QUESTION # 34
What is the main advantage of using a RESTful API (Representational State Transfer) as a data source?
- A. Real-time data processing
- B. High security features
- C. Simple and standardized communication
- D. Support for complex data structures
Answer: C
NEW QUESTION # 35
Which technique is used for feature selection in a machine learning pipeline when dealing with a large number of features?
- A. Regularization
- B. Principal Component Analysis (PCA)
- C. Naive Bayes
- D. One-Hot Encoding
Answer: A
NEW QUESTION # 36
Which hyperparameter in a decision tree model controls the depth of the tree and helps prevent overfitting?
- A. Min samples split
- B. Max depth
- C. Max features
- D. Learning rate
Answer: B
NEW QUESTION # 37
What is "model deployment" in the context of data science and machine learning?
- A. The process of building a model
- B. The process of selecting features
- C. Making the model available for use in real-world applications
- D. The process of data cleaning
Answer: C
NEW QUESTION # 38
What is the primary goal of building models in data science and machine learning?
- A. Feature engineering
- B. Data cleaning
- C. Making predictions or inferences from data
- D. Data visualization
Answer: C
NEW QUESTION # 39
What is feature engineering in the context of machine learning pipelines?
- A. Applying the model to new data
- B. Creating new features from existing data
- C. Testing the model's performance
- D. Building a machine learning model from scratch
Answer: B
NEW QUESTION # 40
Which feature extraction method can take both interval variables and class variables as inputs?
- A. Autoencoder
- B. Singular value decomposition
- C. Robust PCA
- D. Principal component analysis
Answer: A
NEW QUESTION # 41
Which of the following is NOT a common data format for exchanging data between systems?
- A. CSV (Comma-Separated Values)
- B. SQL (Structured Query Language)
- C. JSON (JavaScript Object Notation)
- D. HTML (Hypertext Markup Language)
Answer: B
NEW QUESTION # 42
What is the primary difference between supervised and unsupervised learning in model building?
- A. The type of data used
- B. The amount of labeled data required
- C. The use of feature engineering
- D. The presence or absence of a target variable
Answer: D
NEW QUESTION # 43
Which evaluation metric is commonly used for assessing the performance of a binary classification model?
- A. Accuracy
- B. R-squared
- C. Mean Absolute Error (MAE)
- D. Root Mean Squared Error (RMSE)
Answer: A
NEW QUESTION # 44
What is a data lake?
- A. A backup system for relational databases
- B. A data storage solution designed for high-speed data retrieval
- C. A specialized database for time-series data
- D. A centralized repository for storing all structured and unstructured data at any scale
Answer: D
NEW QUESTION # 45
Which data source typically provides access to real-time financial market data?
- A. Online news websites
- B. Weather stations
- C. Stock market APIs
- D. Social media platforms
Answer: C
NEW QUESTION # 46
Which evaluation metric is commonly used for assessing the performance of a regression model?
- A. Confusion Matrix
- B. Precision
- C. Mean Absolute Error (MAE)
- D. F1 Score
Answer: C
NEW QUESTION # 47
In a supervised machine learning pipeline, what is the purpose of the test data set?
- A. To preprocess the data
- B. To train the machine learning model
- C. To validate the model's performance
- D. To evaluate the model's predictions
Answer: C
NEW QUESTION # 48
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