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Question 18/42
Which of the following best describes distributed artificial intelligence?
Correct Answer: C
Explanation
Distributed artificial intelligence (DAI) is a subfield of artificial intelligence that studies how multiple intelligent agents can coordinate and cooperate to achieve a common goal or solve a complex problem. DAI relies on a distributed system that performs robust computations across a network of unreliable nodes, such as sensors, robots, or humans. DAI can handle large-scale, dynamic, and uncertain environments that are beyond the capabilities of a single agent. References: [Distributed artificial intelligence - Wikipedia], [Distributed Artificial Intelligence: An Overview]
Distributed artificial intelligence (DAI) is a subfield of artificial intelligence that studies how multiple intelligent agents can coordinate and cooperate to achieve a common goal or solve a complex problem. DAI relies on a distributed system that performs robust computations across a network of unreliable nodes, such as sensors, robots, or humans. DAI can handle large-scale, dynamic, and uncertain environments that are beyond the capabilities of a single agent. References: [Distributed artificial intelligence - Wikipedia], [Distributed Artificial Intelligence: An Overview]
- Question List (42q)
- Question 1: Which of the following pieces of AI technology provides the ...
- Question 2: You are implementing a support-vector machine on your data, ...
- Question 3: Which of the following items should be included in a handove...
- Question 4: We are using the k-nearest neighbors algorithm to classify t...
- Question 5: Your dependent variable Y is a count, ranging from 0 to infi...
- Question 6: Your dependent variable data is a proportion. The observed r...
- Question 7: In general, models that perform their tasks:...
- Question 8: Which of the following metrics is being captured when perfor...
- Question 9: Which of the following are true about the transform-design p...
- Question 10: An AI system recommends New Year's resolutions. It has an ML...
- Question 11: Which of the following statements are true regarding highly ...
- Question 12: Which of the following is a common negative side effect of n...
- Question 13: You create a prediction model with 96% accuracy. While the m...
- Question 14: Which of the following is the primary purpose of hyperparame...
- Question 15: Which of the following is a type 1 error in statistical hypo...
- Question 16: R-squared is a statistical measure that:...
- Question 17: When working with textual data and trying to classify text i...
- Question 18: Which of the following best describes distributed artificial...
- Question 19: Which two techniques are used to build personas in the ML de...
- Question 20: Which of the following principles supports building an ML sy...
- Question 21: You are developing a prediction model. Your team indicates t...
- Question 22: Which of the following unsupervised learning models can a ba...
- Question 23: In general, models that perform their tasks:...
- Question 24: In addition to understanding model performance, what does co...
- Question 25: Which of the following can take a question in natural langua...
- Question 26: For a particular classification problem, you are tasked with...
- Question 27: An organization sells house security cameras and has asked t...
- Question 28: Which of the following options is a correct approach for sch...
- Question 29: What is Word2vec?
- Question 30: Why do data skews happen in the ML pipeline?...
- Question 31: You have a dataset with thousands of features, all of which ...
- Question 32: Which of the following sentences is TRUE about the definitio...
- Question 33: For each of the last 10 years, your team has been collecting...
- Question 34: You train a neural network model with two layers, each layer...
- Question 35: Which two of the following criteria are essential for machin...
- Question 36: Which of the following describes a neural network without an...
- Question 37: Which of the following regressions will help when there is t...
- Question 38: Given a feature set with rows that contain missing continuou...
- Question 39: Workflow design patterns for the machine learning pipelines:...
- Question 40: Which of the following sentences is true about model evaluat...
- Question 41: The following confusion matrix is produced when a classifier...
- Question 42: Which database is designed to better anticipate and avoid ri...
