Exam Code: DS-200
Exam Name: Data Science Essentials
Updated: Apr 19, 2024
Q&As: 60
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Refer to the exhibit.
Which point in the figure is the median?
A. A
B. B
C. C
What is the most common reason for a k-means clustering algorithm to returns a sub-optimal clustering of its input?
A. Non-negative values for the distance function
B. Input data set is too large
C. Non-normal distribution of the input data
D. Poor selection of the initial controls
You have a large m x n data matrix M. You decide you want to perform dimension reduction/clustering on your data and have decide to use the singular value decomposition (SVD; also called principal components analysis PCA)
You performed singular value decomposition (SVD; also called principal components analysis or PCA) on you data matrix but you did not center your data first. What does your first singular component describe?
A. The mean of the data set
B. The variance of the data set
C. The standard deviation of the data set
D. The maximum of the data set
E. The median of the data set
In what format are web server log files usually generated and how must you transform them in order to make them usable for analysis in Hadoop?
A. XML files that you need to convert to JSON
B. Text files that require parsing into useful fields
C. CSV files that require parsing into useful fields
D. HTML files that you need to convert to plain text or CSV
E. Binary files that may require decompression and conversion using AVRO
You are about to sample a 100-dimensinal unit-cube. To adequately sample any single given dimension, you need only capture 10 points. How many points do you need to order to sample the complete 100dimensional unit cube adequately?
A. 10010
B. 1010
C. Log2(100)
D. 100
E. 1000
F. 1010
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