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The safer , easier way to help you pass any IT exams. 1.Given an input vector of features, a Random Forests model performs a classification task and ends in a
tie.
How does the model handle this outcome?
A. The model will be rebuilt
B. A winner is chosen at random
C. The tree that caused the tie is discarded
D. One more tree is added to the forest
Answer: B
2.Which HDFS feature protects against user errors causing accidental loss of data?
A. Encryption
B. Replication
C. Namenode federation
D. Snapshots
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3.What process must address acoustic ambiguity in NLP?
A. Part-of-speech tagging
B. Word sense disambiguation
C. Speech recognition
D. Discourse
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Answer: B
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Answer: C
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4.A data engineer is asked to process several large datasets using MapReduce. Upon initial inspection
the engineer realizes that there are complex interdependencies between the datasets.
Why is this a problem?
A. MapReduce works best on unstructured data
B. There is no problem; MapReduce accommodates all the data
C. MapReduce can only parse one file at a time.
D. MapReduce is not ideal when the processing of one dataset depends on another.
Answer: D
5.What is a characteristic of stop words?
A. Used in term frequency analysis
B. Include words such as "a", "an", and "the"
C. Meaningful words requiring a parser to stop and examine them
D. Don't occur often in text
Answer: B
2/2
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