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Answer: Use Cloud Dataprep with recipes to detect errors and perform transformations.
The correct answer is B. Cloud Dataprep is specifically designed for visually exploring, cleaning, and preparing structured and unstructured data for analysis. It is a tool that does not require programming or SQL knowledge, making it suitable for users who need to perform data transformations and detect invalid data entries without coding.
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You are currently storing historic data in Google Cloud Storage and need to conduct analytical operations on this data. Your primary goal is to identify any invalid data entries and carry out data transformations. Crucially, you prefer a solution that does not necessitate programming skills or SQL knowledge. What course of action should you take?
A
Use Cloud Dataflow with Beam to detect errors and perform transformations.
B
Use Cloud Dataprep with recipes to detect errors and perform transformations.
C
Use Cloud Dataproc with a Hadoop job to detect errors and perform transformations.
D
Use federated tables in BigQuery with queries to detect errors and perform transformations.
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