Practice Library
All MCQs
Browse exam-wise, subject-wise, and country-wise MCQs with explanations.
Choose an option to check your answer.
A.
Nodes that frequently lie on shortest paths between other nodes
B.
Nodes with the highest feature means
C.
Nodes belonging to the largest class
D.
Nodes with no links
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Correct Answer: A. Nodes that frequently lie on shortest paths between other nodes
Explanation:
High-betweenness nodes can act as brokers or bridges between groups.
Their removal may disrupt communication across the network.
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A.
The average class probability
B.
The distance to every cluster centroid
C.
The support of a transaction
D.
The number of direct connections a node has
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Correct Answer: D. The number of direct connections a node has
Explanation:
In an undirected network, degree is the count of adjacent edges.
In directed networks, in-degree and out-degree are distinguished.
Choose an option to check your answer.
A.
Predicting a continuous target
B.
Removing duplicate user records only
C.
Finding groups with dense internal connections and sparser external connections
D.
Ranking features by variance
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Correct Answer: C. Finding groups with dense internal connections and sparser external connections
Explanation:
Communities often correspond to social circles, interests, or functional groups.
They are based on network connectivity rather than ordinary feature distance alone.
Choose an option to check your answer.
A.
The number of words on the page only
B.
The quantity and quality of incoming links
C.
The page's class label
D.
The Euclidean distance between users
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Correct Answer: B. The quantity and quality of incoming links
Explanation:
A link from an important page contributes more than a link from an unimportant page.
The method models a random surfer moving through the link graph.
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A.
Discovering behavior patterns from logs of user interactions
B.
Mining only page text
C.
Analyzing physical network cables
D.
Building an FP-tree from class labels
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Correct Answer: A. Discovering behavior patterns from logs of user interactions
Explanation:
Clickstreams, sessions, and server logs reveal navigation behavior.
Applications include personalization and website optimization.
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A.
Analyzing purchase transactions
B.
Estimating continuous targets
C.
Cleaning missing numeric values
D.
Analyzing hyperlinks and the graph structure of the web
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Correct Answer: D. Analyzing hyperlinks and the graph structure of the web
Explanation:
Pages are nodes and hyperlinks are directed edges.
Link analysis can identify authority, importance, and communities.
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A.
Analyzing only hyperlink structure
B.
Mining server access logs only
C.
Extracting useful information from the content of web pages
D.
Clustering database indexes
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Correct Answer: C. Extracting useful information from the content of web pages
Explanation:
Web content includes text, images, metadata, and structured page elements.
Methods such as text mining and information extraction are commonly used.
Choose an option to check your answer.
A.
Changing feature names
B.
Choosing the anomaly-score cutoff that balances operational costs
C.
Selecting the number of transactions
D.
Making every score binary during training
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Correct Answer: B. Choosing the anomaly-score cutoff that balances operational costs
Explanation:
Different thresholds trade false positives against missed anomalies.
The right choice depends on risk, capacity, and class prevalence.
Choose an option to check your answer.
A.
Anomalies are often extremely rare
B.
Accuracy cannot be computed for binary labels
C.
Normal cases are always missing
D.
Anomaly scores are categorical
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Correct Answer: A. Anomalies are often extremely rare
Explanation:
Predicting every case as normal can achieve high accuracy.
Minority-focused metrics provide a more meaningful evaluation.
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A.
It measures only true negatives
B.
It counts model parameters
C.
It prevents class imbalance
D.
Missed anomalies may cause serious loss or risk
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Correct Answer: D. Missed anomalies may cause serious loss or risk
Explanation:
Recall measures the fraction of actual anomalies detected.
High recall is vital when false negatives are costly.
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A.
It measures all actual anomalies found
B.
It equals the anomaly base rate
C.
Too many false alarms can overwhelm investigators
D.
It ignores false positives
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Correct Answer: C. Too many false alarms can overwhelm investigators
Explanation:
Precision indicates how many alerts are truly anomalous.
Low precision creates operational cost and alert fatigue.
Choose an option to check your answer.
A.
A separator between many labeled anomaly types
B.
A boundary enclosing the region occupied by normal data
C.
A frequent-itemset lattice
D.
A hierarchical cluster tree
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Correct Answer: B. A boundary enclosing the region occupied by normal data
Explanation:
The method distinguishes the normal data region from the origin or outside space.
New points beyond the learned boundary are flagged.