Google Professional Machine Learning Engineer
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In the context of large-scale data processing, a team is evaluating the use of MapReduce to handle a dataset that is expected to grow exponentially over time. The dataset is unstructured and requires significant processing to extract meaningful insights. The team is also concerned about the cost and scalability of their solution. Given these constraints, which of the following best describes the primary reason for utilizing MapReduce in this scenario? Choose the best option.
A
To decrease the volume of data by eliminating redundant information.
B
To transform the unstructured input data into a structured format automatically.
C
To partition the data processing task into smaller, parallelizable sub-tasks that can be distributed across a cluster of machines.
D
To apply advanced machine learning techniques to prevent overfitting in the predictive models developed from the dataset.
E
Both B and C are correct.