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Free AWS Certified Machine Learning - Specialty: AWS Certified Machine Learning - Specialty (MLS-C01) Exam Questions and Answers
Last updated: February 18, 2025
Examtopics AWS Certified Machine Learning - Specialty: AWS Certified Machine Learning - Specialty (MLS-C01) Prepaway Real Exam Questions and dumps free download
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1316-AWS Certified Machine Learning - Specialty: AWS Certified Machine Learning - Specialty (MLS-C01)
#Question
In a recommendation system, what does "collaborative filtering" rely on for providing suggestions?
A.
All of the above
B.
Explicit ratings
C.
Product features
D.
User behavior
Correct Answer:
A
Collaborative filtering is a method used in recommendation systems that leverages user behavior, product features, and explicit ratings to make personalized recommendations.
#Question
What is the primary purpose of data augmentation in machine learning?
A.
Simplify data
B.
Reduce training time
C.
Improve model explainability
D.
Increase the dataset size
Correct Answer:
D
Data augmentation is used to increase the size of the training dataset by creating variations of the original data, which helps improve model robustness and generalization.
#Question
Within NLP, what is the purpose of Named Entity Recognition (NER)?
A.
Detect language
B.
Identify entities in text
C.
Classify text types
D.
Identify sentiments
Correct Answer:
B
Named Entity Recognition (NER) aims to identify and classify specific entities mentioned in a text, such as names, organizations, dates, and locations.
#Question
How does the Random Forest algorithm help improve model accuracy?
A.
By simplifying tasks
B.
By minimizing features
C.
By averaging multiple trees
D.
By overfitting
Correct Answer:
C
Random Forest improves accuracy by creating numerous decision trees and averaging their predictions, which reduces variance and mitigates overfitting.
#Question
In the context of machine learning, what is a "support vector"?
A.
Model feature
B.
Class label
C.
Decision boundary
D.
Outlier
Correct Answer:
C
Support vectors are data points closest to the decision boundary in support vector machines, and they are critical for defining the position of this boundary between classes.
#Question
What does "backpropagation" refer to in the context of neural networks?
A.
Optimization algorithm
B.
Gradient descent
C.
Loss calculation
D.
Model training
Correct Answer:
D
Backpropagation is the algorithm used to calculate the gradients of loss function and optimize the weights within neural networks to reduce error and enhance model performance.
#Question
What is an appropriate evaluation metric for multi-class classification problems?
A.
All of the above
B.
Recall
C.
Precision
D.
Accuracy
Correct Answer:
A
Accuracy, precision, and recall can all be utilized to evaluate the performance of multi-class classification models, offering different perspectives on their performance.
1316-AWS Certified Machine Learning - Specialty: AWS Certified Machine Learning - Specialty (MLS-C01)
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