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DS51 Smart Analytics and data management
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Which of the following are the features of RDD in Spark ?
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A 'sketch' can avoid storing and maintaining a large amount of data.
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Learning systems on streaming data should be able to monitor their working conditions since they act in dynamic environments, where working conditions change and evolve.
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Hyperparameter tuning for streaming data analysis is time-consuming and labor-intensive.
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Semi-supervised learning (SSL) is particularly relevant to streaming applications where data are abundant but labeled data may be rare.
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Which challenge will be involved during learning on streaming data?
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Which streaming data protocols are specifically suited for monitoring network infrastructure?
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Data Wrangler is a scripting language used for data cleaning and transformation
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Data dirtiness can affect the overall results when querying large data sets
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Which feature reduction methods are unsupervised?
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