A Company Is Using Amazon Redshift for Analytics and to Generate

question 389

Multiple Choice

A company is using Amazon Redshift for analytics and to generate customer reports. The company recently acquired 50 TB of additional customer demographic data. The data is stored in .csv files in Amazon S3. The company needs a solution that joins the data and visualizes the results with the least possible cost and effort. What should a solutions architect recommend to meet these requirements?

• A) Use Amazon Redshift Spectrum to query the data in Amazon S3 directly and join that data with the existing data in Amazon Redshift. Use Amazon QuickSight to build the visualizations.
• B) Use Amazon Athena to query the data in Amazon S3. Use Amazon QuickSight to join the data from Athena with the existing data in Amazon Redshift and to build the visualizations.
• C) Increase the size of the Amazon Redshift cluster, and load the data from Amazon S3. Use Amazon EMR Notebooks to query the data and build the visualizations in Amazon Redshift.
• D) Export the data from the Amazon Redshift cluster into Apache Parquet files in Amazon S3. Use Amazon Elasticsearch Service (Amazon ES) to query the data. Use Kibana to visualize the results.

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Definitions:

Confidence Interval

An array of numerical figures, sourced from sampling data, thought to enclose the value of an unknown characteristic of a population.

Population Mean

The average value of all members of a complete population.

Outliers

Data points that are significantly different from the majority of other data points in a dataset, often indicating measurement error or a novel phenomenon.

Confidence Intervals

A selection of values from statistical samples that has a high chance of including the value of a hidden population attribute.