Practice Test 2 | Google Cloud Certified Professional Data Engineer | Dumps | Mock Test
The data analysts in your company want to prepare data sets for reporting to upper management. While the current data pipeline does part of data modeling to the data sets, data analysts still want to perform extra data profiling on data such as detecting duplicates, count null values and other profiling techniques. They ask your advice on what tool to use.
Which of the following is recommended?
A. Cloud Dataprep
B. Dataproc
C. Cloud Composer
D. Cloud Function
Answer: A.
Cloud Dataprep is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis, reporting, and machine learning.
Because Cloud Dataprep is serverless and works at any scale, there is no infrastructure to deploy or manage. Your next ideal data transformation is suggested and predicted with each UI input, so you don’t have to write code.
With automatic schema, datatype, possible joins, and anomaly detection, you can skip time-consuming data profiling and focus on data analysis.
Answer B is incorrect: Dataproc is a complicated service for data profiling comparing to Dataprep.
Answer C & D are incorrect: Cloud Function and Cloud Composer don’t directly help with data modeling and profiling without coding and pipeline design.
Source(s):
Cloud Dataprep: https://cloud.google.com/dataprep/
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