A data analyst wants to use compression on an analyzed data set and send it to a new destination for further processing. Which of the following issues will most likely occur?
Answer(s): B
Compression and decompression are CPU-intensive operations; on large data sets, the extra processing load can significantly spike CPU utilization. Memory, OS support, or library dependencies are far less likely to be the primary bottleneck in a standard compression workflow.
The most likely concern with a one-feature, machine-learning model is high error due to:
Answer(s): A
A model with only one feature is unlikely to capture the true complexity of the data's underlying relationships, leading to systematic underfitting - i.e., high bias.
Given matrixWhich of the following is AT?A)B)C)D)
Answer(s): C
Transposing swaps rows and columns, so the (i, j) entry becomes the (j, i) entry.
A data scientist is clustering a data set but does not want to specify the number of clusters present. Which of the following algorithms should the data scientist use?
DBSCAN discovers clusters based on density without requiring you to predefine the number of clusters, automatically finding arbitrarily shaped groups and identifying noise points.
A data analyst wants to find the latitude and longitude of a mailing address. Which of the following is the best method to use?
Geocoding is the process of converting a postal address into geographic coordinates (latitude and longitude), making it the appropriate method.
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