PrepPDF A00-406 dumps & SAS Certified Specialist Sure Practice with 98 Questions
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NEW QUESTION # 13
Which statement is true regarding decision trees and models based on ensembles of trees?
- A. A single decision tree will always be outperformed by a model based on an ensemble of trees.
- B. In the gradient boosting algorithm, for all but the first iteration, the target is the residual from the previous decision tree model.
- C. In the Forest algorithm, each individual tree is pruned based on using minimum Average Squared Error.
- D. For a Forest model, the out-of-bag sample is simply the original validation data set from when the raw data partitioning took place.
Answer: B
NEW QUESTION # 14
What is the primary role of a data warehouse in an organization?
- A. Data exploration and visualization
- B. Real-time data analysis
- C. Long-term data storage and analysis
- D. Data transformation and cleaning
Answer: C
NEW QUESTION # 15
Which type of model is well-suited for solving classification problems when dealing with high- dimensional data, such as text?
- A. Random Forest
- B. Support Vector Machine (SVM)
- C. Linear Regression
- D. K-Means Clustering
Answer: B
NEW QUESTION # 16
When deploying a model, what is "model explainability"?
- A. The process of data preprocessing
- B. The time it takes to make predictions
- C. The simplicity of the model
- D. The capability to interpret and understand the model's decisions and predictions
Answer: D
NEW QUESTION # 17
In the context of model deployment, what is "model compliance"?
- A. The model's efficiency
- B. The degree to which the model adheres to regulatory or ethical guidelines
- C. The process of feature selection
- D. The model's simplicity
Answer: B
NEW QUESTION # 18
In natural language processing, what does "stemming" involve?
- A. Reducing words to their base or root form
- B. Converting text to numbers for model input
- C. Creating new words to improve model performance
- D. Grouping similar words together based on their meanings
Answer: A
NEW QUESTION # 19
Which type of model is commonly used for anomaly detection in datasets?
- A. Clustering Models
- B. Decision Trees
- C. Principal Component Analysis (PCA)
- D. Linear Regression
Answer: A
NEW QUESTION # 20
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 # 21
What is the primary purpose of model assessment in the context of data science and machine learning?
- A. Data visualization
- B. Evaluating and selecting the best-performing model
- C. Model building
- D. Data preprocessing
Answer: B
NEW QUESTION # 22
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 # 23
In natural language processing (NLP), what is a common preprocessing step for text data before building models?
- A. One-Hot Encoding
- B. Standardization
- C. Principal Component Analysis (PCA)
- D. Tokenization
Answer: D
NEW QUESTION # 24
What is the primary purpose of model deployment in the context of data science and machine learning?
- A. Model evaluation
- B. Making the model available for use in real-world applications
- C. Model building
- D. Data preprocessing
Answer: B
NEW QUESTION # 25
What is the purpose of a confusion matrix in the context of classification models?
- A. To visualize the data
- B. To evaluate model performance, especially for binary classification
- C. To compute the mean squared error
- D. To summarize the distribution of target variables
Answer: B
NEW QUESTION # 26
What does the term "bagging" refer to in ensemble learning?
- A. The process of combining multiple identical models to reduce variance
- B. A technique that reduces model complexity
- C. A type of feature extraction
- D. A form of dimensionality reduction
Answer: A
NEW QUESTION # 27
What is a data lake?
- A. A data storage solution designed for high-speed data retrieval
- B. A specialized database for time-series data
- C. A backup system for relational databases
- D. A centralized repository for storing all structured and unstructured data at any scale
Answer: D
NEW QUESTION # 28
In model assessment, what does "cross-validation" aim to address?
- A. Model deployment
- B. Overfitting and generalization
- C. Training a model
- D. Data preprocessing
Answer: B
NEW QUESTION # 29
Which of the following is an example of a NoSQL database that is commonly used to store unstructured data?
- A. Oracle Database
- B. MySQL
- C. MongoDB
- D. Microsoft SQL Server
Answer: C
NEW QUESTION # 30
What is feature engineering in the context of machine learning pipelines?
- A. Building a machine learning model from scratch
- B. Testing the model's performance
- C. Creating new features from existing data
- D. Applying the model to new data
Answer: C
NEW QUESTION # 31
What is the main goal of data preprocessing in a machine learning pipeline?
- A. To prepare the data for analysis and modeling
- B. To visualize the data
- C. To remove irrelevant features
- D. To train the model
Answer: A
NEW QUESTION # 32
Which data source typically provides access to real-time financial market data?
- A. Social media platforms
- B. Stock market APIs
- C. Online news websites
- D. Weather stations
Answer: B
NEW QUESTION # 33
What is a data lake architecture designed to store primarily?
- A. All types of data, including structured and unstructured data
- B. Highly structured data in tabular format
- C. Only unstructured data in raw form
- D. Data from a single source or department
Answer: A
NEW QUESTION # 34
In machine learning, what does "overfitting" refer to?
- A. A model that has too much complexity and fits the training data too closely
- B. A model that is unable to make predictions
- C. A model that is undertrained and has high bias
- D. A model that performs well on new, unseen data
Answer: A
NEW QUESTION # 35
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