SAA-C03 Exam - Question 812

Question

A company hosts a data lake on Amazon S3. The data lake ingests data in Apache Parquet format from various data sources. The company uses multiple transformation steps to prepare the ingested data. The steps include filtering of anomalies, normalizing of data to standard date and time values, and generation of aggregates for analyses.

The company must store the transformed data in S3 buckets that data analysts access. The company needs a prebuilt solution for data transformation that does not require code. The solution must provide data lineage and data profiling. The company needs to share the data transformation steps with employees throughout the company.

Which solution will meet these requirements?

Examice · Accepted Answer

To meet the company's requirements, AWS Glue DataBrew is the most suitable option. It is a visual data preparation tool that enables users to clean, normalize data, and perform various transformations without writing any code. DataBrew offers data lineage and profiling capabilities and allows users to create reusable workflows, known as recipes, which can be shared and reused by employees throughout the company. This solution aligns perfectly with the company's need for a code-free, prebuilt data transformation solution that covers data lineage and profiling, and facilitates sharing of transformation steps.

asdfcdsxdfc · Answer

Should be C

Scheldon · Answer

AnswerC

AWS Glue DataBrew is a visual data preparation tool that enables users to clean and normalize data without writing any code. Using DataBrew helps reduce the time it takes to prepare data for analytics and machine learning (ML) by up to 80 percent, compared to custom developed data preparation. You can choose from over 250 ready-made transformations to automate data preparation tasks, such as filtering anomalies, converting data to standard formats, and correcting invalid values.
https://docs.aws.amazon.com/databrew/latest/dg/what-is.html

seetpt · Answer

Agree with C

Linuslin · Answer

C is correct.
https://docs.aws.amazon.com/databrew/latest/dg/recipes.html

Lingo43 · Answer

AWS Glue DataBrew: This is a visual data preparation tool that allows you to clean and normalize data without writing code. It has built-in transformations for common tasks like filtering anomalies, normalizing dates, and generating aggregates. It also provides data lineage and profiling capabilities, which are required by the company.
DataBrew Recipes: These are reusable workflows that define the data transformation steps. They can be easily shared with other employees, making it simple to collaborate on data preparation tasks.

SAA-C03 Exam - Question 812

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