# AWS-Certified-Data-Engineer---Associate-DEA-C01 — Question 428

**Type:** multiple_response
**Topics:** topic_1

## Question

A marketing company collects clickstream data. The company sends the clickstream data to Amazon Kinesis Data Firehose and stores the clickstream data in Amazon S3. The company wants to build a series of dashboards that hundreds of users from multiple departments will use.

The company will use Amazon QuickSight to develop the dashboards. The company wants a solution that can scale and provide daily updates about clickstream activity.

Which combination of steps will meet these requirements MOST cost-effectively? (Choose two.)

## Correct Answer

_See scenario._

## Explanation

Selected Answer: BE
B. Use Amazon Athena to query the clickstream data.
E. Access the query data through QuickSight SPICE (Super-fast, Parallel, In-memory Calculation Engine). Configure a daily refresh for the dataset.

Here's why:

B. Use Amazon Athena to query the clickstream data: Amazon Athena allows you to run SQL queries directly on data stored in Amazon S3 without the need for complex ETL processes. It is a cost-effective solution for querying large datasets on S3.

E. Access the query data through QuickSight SPICE: QuickSight SPICE is designed for fast, in-memory data analysis and can scale to support many users and large datasets. By configuring a daily refresh, you ensure that the dashboards are updated with the latest data while keeping query performance high and costs low.

**Reference:** examtopics_top_comment

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Source: https://hiexam.net/q/amazon/AWS-Certified-Data-Engineer---Associate-DEA-C01/428  
Practice (tracked): https://hiexam.net/study/AWS-Certified-Data-Engineer---Associate-DEA-C01/practice