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Data science e20 065 dumps

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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

Answer: B

3.What process must address acoustic ambiguity in NLP?

A. Part-of-speech tagging

B. Word sense disambiguation

C. Speech recognition

D. Discourse

Answer: C

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

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Data science e20 065 dumps

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