Preparing Practice Exam…
Please wait a moment while the system generates the exam questions, answers, and study session.
Please wait a moment while the system generates the exam questions, answers, and study session.
Question 47 of 101
Free Preview · 101 of 335 · questions 1–101 of 335 are free. Sign up free to sync your progress across devices.
Select one answer.
Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.
Althought Dataprep is deprecated
you have to bring data to Cloud storage before running data prep.
Why Cloud Storage is important ? 1. Centralized repository: Cloud Storage provides a secure and scalable place to store your data. This makes it accessible to various GCP services. 2. Data lake concept: This aligns with the idea of a data lake, where you bring raw data into a central location before processing and refining it. Why Cloud Dataprep is a good fit ? 1. Visual data exploration: Dataprep excels at helping you quickly understand your data through visualizations and profiling. This is crucial for identifying anomalies. 2. Data cleaning and transformation: Dataprep makes it easy to clean and standardize your data, which is essential before anomaly detection. Inconsistent formats, missing values, and errors can skew your analysis. 3. Built-in anomaly detection: Dataprep has features specifically designed to help you find anomalies. It can highlight unusual values, outliers, and patterns.