Q. What does the 'C' parameter in SVM control?
A.
The number of support vectors
B.
The trade-off between maximizing the margin and minimizing classification error
C.
The complexity of the kernel function
D.
The learning rate of the model
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Solution
The 'C' parameter in SVM controls the trade-off between maximizing the margin and minimizing the classification error on the training data.
Correct Answer:
B
— The trade-off between maximizing the margin and minimizing classification error
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Q. What does the 'GET' method in HTTP do?
A.
Sends data to the server
B.
Requests data from the server
C.
Deletes data on the server
D.
Updates data on the server
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Solution
The 'GET' method in HTTP is used to request data from a specified resource on the server.
Correct Answer:
B
— Requests data from the server
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Q. What does the 'K' in K-means represent?
A.
The number of iterations the algorithm runs
B.
The number of clusters to form
C.
The number of features in the dataset
D.
The distance metric used
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Solution
The 'K' in K-means represents the number of clusters that the algorithm will form from the dataset.
Correct Answer:
B
— The number of clusters to form
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Q. What does the 'malloc' function do in C?
A.
Allocates memory on the stack
B.
Allocates memory on the heap
C.
Frees allocated memory
D.
Initializes a pointer
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Solution
'malloc' allocates a specified number of bytes of memory on the heap and returns a pointer to the allocated memory.
Correct Answer:
B
— Allocates memory on the heap
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Q. What does the 'reduce' action do in an LR parser?
A.
It shifts the next input symbol onto the stack.
B.
It pops symbols from the stack and replaces them with a non-terminal.
C.
It accepts the input string.
D.
It generates an error.
Show solution
Solution
The 'reduce' action in an LR parser pops a number of symbols from the stack and replaces them with a non-terminal according to a production rule.
Correct Answer:
B
— It pops symbols from the stack and replaces them with a non-terminal.
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Q. What does the acronym 'NAT' stand for in networking?
A.
Network Address Translation
B.
Network Access Technology
C.
Network Application Transfer
D.
Network Allocation Table
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Solution
NAT stands for Network Address Translation, which allows multiple devices on a local network to share a single public IP address.
Correct Answer:
A
— Network Address Translation
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Q. What does the acronym 'TCP' stand for?
A.
Transmission Control Protocol
B.
Transfer Control Protocol
C.
Transport Communication Protocol
D.
Transmission Communication Protocol
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Solution
TCP stands for Transmission Control Protocol, which is used for reliable communication over a network.
Correct Answer:
A
— Transmission Control Protocol
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Q. What does the acronym URI stand for in the context of web protocols?
A.
Uniform Resource Identifier
B.
Universal Resource Indicator
C.
Uniform Resource Interface
D.
Universal Resource Identifier
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Solution
URI stands for Uniform Resource Identifier, which is a string used to identify a resource on the Internet.
Correct Answer:
A
— Uniform Resource Identifier
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Q. What does the acronym URL stand for?
A.
Uniform Resource Locator
B.
Universal Resource Link
C.
Uniform Resource Link
D.
Universal Resource Locator
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Solution
URL stands for Uniform Resource Locator, which is the address used to access resources on the internet.
Correct Answer:
A
— Uniform Resource Locator
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Q. What does the area under the ROC curve (AUC) represent?
A.
The probability that a randomly chosen positive instance is ranked higher than a randomly chosen negative instance
B.
The overall accuracy of the model
C.
The precision of the model
D.
The recall of the model
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Solution
AUC quantifies the model's ability to distinguish between positive and negative classes.
Correct Answer:
A
— The probability that a randomly chosen positive instance is ranked higher than a randomly chosen negative instance
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Q. What does the Area Under the ROC Curve (AUC-ROC) represent?
A.
Model accuracy
B.
Probability of false positives
C.
Trade-off between sensitivity and specificity
D.
Model complexity
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Solution
AUC-ROC represents the trade-off between sensitivity (true positive rate) and specificity (1 - false positive rate).
Correct Answer:
C
— Trade-off between sensitivity and specificity
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Q. What does the AUC represent in the context of the ROC curve?
A.
The area under the curve, indicating the model's ability to distinguish between classes
B.
The average of the true positive rates
C.
The total number of false positives
D.
The accuracy of the model
Show solution
Solution
AUC (Area Under the Curve) quantifies the overall ability of the model to discriminate between positive and negative classes, with a value of 1 indicating perfect classification.
Correct Answer:
A
— The area under the curve, indicating the model's ability to distinguish between classes
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Q. What does the coefficient in a linear regression model represent?
A.
The strength of the relationship between variables
B.
The predicted value of the dependent variable
C.
The error in predictions
D.
The number of features in the model
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Solution
The coefficient in a linear regression model represents the strength and direction of the relationship between the independent variable and the dependent variable.
Correct Answer:
A
— The strength of the relationship between variables
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Q. What does the F1 Score evaluate in a classification model?
A.
The balance between precision and recall
B.
The overall accuracy of the model
C.
The speed of the model
D.
The number of false positives
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Solution
The F1 Score is the harmonic mean of precision and recall, providing a balance between the two.
Correct Answer:
A
— The balance between precision and recall
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Q. What does the F1 score represent in model evaluation?
A.
The harmonic mean of precision and recall
B.
The average of precision and recall
C.
The ratio of true positives to total predicted positives
D.
The ratio of true positives to total actual positives
Show solution
Solution
The F1 score is the harmonic mean of precision and recall, providing a balance between the two metrics.
Correct Answer:
A
— The harmonic mean of precision and recall
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Q. What does the Gini impurity measure in a Decision Tree?
A.
The accuracy of the model.
B.
The likelihood of misclassifying a randomly chosen element.
C.
The depth of the tree.
D.
The number of features used.
Show solution
Solution
Gini impurity measures the likelihood of misclassifying a randomly chosen element from the dataset, helping to determine the best splits.
Correct Answer:
B
— The likelihood of misclassifying a randomly chosen element.
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Q. What does the Gini impurity measure in Decision Trees?
A.
The accuracy of the model.
B.
The purity of a node in the tree.
C.
The depth of the tree.
D.
The number of features used.
Show solution
Solution
Gini impurity measures the impurity or disorder of a node, helping to determine the best splits in the tree.
Correct Answer:
B
— The purity of a node in the tree.
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Q. What does the parameter 'C' control in SVM?
A.
The complexity of the model
B.
The margin width
C.
The number of support vectors
D.
The learning rate
Show solution
Solution
'C' is a regularization parameter that controls the trade-off between maximizing the margin and minimizing classification error.
Correct Answer:
A
— The complexity of the model
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Q. What does the parameter 'C' in SVM control?
A.
The complexity of the model
B.
The margin of the hyperplane
C.
The number of support vectors
D.
The learning rate
Show solution
Solution
The parameter 'C' controls the trade-off between maximizing the margin and minimizing the classification error.
Correct Answer:
A
— The complexity of the model
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Q. What does the R-squared value indicate in a linear regression model?
A.
The proportion of variance explained by the model
B.
The slope of the regression line
C.
The number of predictors in the model
D.
The correlation between independent variables
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Solution
R-squared indicates the proportion of variance in the dependent variable that can be explained by the independent variables.
Correct Answer:
A
— The proportion of variance explained by the model
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Q. What does the ROC curve represent in classification problems?
A.
The relationship between precision and recall
B.
The trade-off between true positive rate and false positive rate
C.
The accuracy of the model over different thresholds
D.
The distribution of predicted probabilities
Show solution
Solution
The ROC curve illustrates the trade-off between the true positive rate (sensitivity) and the false positive rate at various threshold settings.
Correct Answer:
B
— The trade-off between true positive rate and false positive rate
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Q. What does the ROC curve represent in model evaluation?
A.
Relationship between precision and recall
B.
Trade-off between true positive rate and false positive rate
C.
Model training time vs accuracy
D.
Data distribution visualization
Show solution
Solution
The ROC curve illustrates the trade-off between the true positive rate (sensitivity) and the false positive rate at various threshold settings.
Correct Answer:
B
— Trade-off between true positive rate and false positive rate
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Q. What does the ROC curve represent?
A.
Relationship between precision and recall
B.
Trade-off between true positive rate and false positive rate
C.
Model training time vs accuracy
D.
Data distribution visualization
Show solution
Solution
The ROC curve illustrates the trade-off between the true positive rate and the false positive rate at various threshold settings.
Correct Answer:
B
— Trade-off between true positive rate and false positive rate
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Q. What does the silhouette score measure in clustering?
A.
The accuracy of predictions
B.
The compactness and separation of clusters
C.
The number of clusters
D.
The speed of the algorithm
Show solution
Solution
The silhouette score evaluates how similar an object is to its own cluster compared to other clusters.
Correct Answer:
B
— The compactness and separation of clusters
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Q. What does the status code 404 indicate in an HTTP response?
A.
OK
B.
Created
C.
Not Found
D.
Bad Request
Show solution
Solution
The status code 404 indicates that the requested resource was not found on the server.
Correct Answer:
C
— Not Found
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Q. What does the status code 404 indicate in HTTP?
A.
OK
B.
Created
C.
Not Found
D.
Bad Request
Show solution
Solution
The status code 404 indicates that the requested resource was not found on the server.
Correct Answer:
C
— Not Found
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Q. What does the term 'AUC' stand for in the context of ROC analysis?
A.
Area Under the Curve
B.
Average Utility Coefficient
C.
Algorithmic Uncertainty Coefficient
D.
Area Under Classification
Show solution
Solution
AUC stands for Area Under the Curve, which quantifies the overall ability of the model to discriminate between positive and negative classes.
Correct Answer:
A
— Area Under the Curve
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Q. What does the term 'backpropagation' refer to in neural networks?
A.
The process of forward propagation of inputs
B.
The method of updating weights based on error
C.
The initialization of network parameters
D.
The evaluation of model performance
Show solution
Solution
Backpropagation is the algorithm used to update the weights of the network by calculating the gradient of the loss function.
Correct Answer:
B
— The method of updating weights based on error
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Q. What does the term 'bagging' refer to in the context of Random Forests?
A.
Using a single Decision Tree for predictions
B.
Combining predictions from multiple models
C.
Randomly selecting features for each tree
D.
Aggregating predictions by averaging
Show solution
Solution
Bagging refers to combining predictions from multiple models to improve the overall performance and robustness of the model.
Correct Answer:
B
— Combining predictions from multiple models
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Q. What does the term 'centroid' refer to in K-Means clustering?
A.
The point that represents the center of a cluster
B.
The maximum distance between points in a cluster
C.
The average distance of points from the origin
D.
The total number of clusters formed
Show solution
Solution
In K-Means clustering, a centroid refers to the point that represents the center of a cluster.
Correct Answer:
A
— The point that represents the center of a cluster
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