Model Question - Computer Engineering - Nepal Engineering Council Registration Examination

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Nepal Engineering Council Registration Examination
Computer Engineering
Model Question
Quiz-7

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Q.No.1

What is the main goal of natural language understanding (NLU)?

a. Translating text from one language to another b. Generating human-like responses to user queries c. Analyzing and interpreting the meaning of natural language text d. Extracting entities and their relationships from a text

Q.No.2

What is the main goal of the resolution algorithm in inference?

a. To derive new logical axioms b. To simplify logical expressions c. To prove the satisfiability or un-satisfiability of a given set of logical statements d. To find contradictions in the knowledge base

Q.No.3

Which machine learning technique is used to group similar data points together in an unsupervised learning setting?

a. Clustering b. Classification c. Regression d. Supervised learning

Q.No.4

In machine learning, which of the following refers to a supervised learning technique where the algorithm learns from labeled data?

a. Clustering b. Classification c. Regression d. Reinforcement learning

Q.No.5

Which searching technique is guaranteed to find the optimal solution in a state space search problem, assuming no path costs?

a. Depth-first search (DFS) b. Breadth-first search (BFS) c. Hill climbing d. A* search

Q.No.6

Which of the following is a common technique used to prevent overfitting in machine learning models?

a. Gradient descent b. Cross-validation c. Linear regression d. Data normalization

Q.No.7

What is the purpose of feature scaling in machine learning?

a. To improve model interpretability b. To ensure that all features are on the same scale and prevent bias due to differing feature magnitudes c. To reduce the dimensionality of the data d. To improve model accuracy

Q.No.8

What is overfitting in machine learning?

a. When a model generalizes well to unseen data. b. When a model performs poorly on both training and test data. c. When a model learns the details and noise in the training data to the point that it negatively impacts the performance of the model on new data. d. When a model performs well on both training and test data.

Q.No.9

In which type of environment, the next state of the environment is completely determined by the current state and the action taken by the agent?

a. Observable environment b. Deterministic environment c. Episodic environment d. Static environment

Q.No.10

How are relationships between classes represented when mapping design to code?

a. Through inheritance and implementation of interfaces. b. Through the use of composition and aggregation. c. Through static method calls and global variables. d. Through conditional statements and loops.

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