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Question 186 - DAS-C01 discussion

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A company developed a new voting results reporting website that uses Amazon Kinesis Data Firehose to deliver full logs from AWS WAF to an Amazon S3 bucket. The company is now seeking a solution to perform this infrequent data analysis with data visualization capabilities in a way that requires minimal development effort.

Which solution MOST cost-effectively meets these requirements?

A.
Use an AWS Glue crawler to create and update a table in the AWS Glue data catalog from the logs. Use Amazon Athena to perform ad-hoc analyses. Develop data visualizations by using Amazon QuickSight.
Answers
A.
Use an AWS Glue crawler to create and update a table in the AWS Glue data catalog from the logs. Use Amazon Athena to perform ad-hoc analyses. Develop data visualizations by using Amazon QuickSight.
B.
Configure Kinesis Data Firehose to deliver the logs to an Amazon OpenSearch Service cluster. Use OpenSearch Service REST APIs to analyze the data. Visualize the data by building an OpenSearch Service dashboard.
Answers
B.
Configure Kinesis Data Firehose to deliver the logs to an Amazon OpenSearch Service cluster. Use OpenSearch Service REST APIs to analyze the data. Visualize the data by building an OpenSearch Service dashboard.
C.
Create an AWS Lambda function to convert the logs to CSV format. Add the Lambda function to the Kinesis Data Firehose transformation configuration. Use Amazon Redshift to perform a one-time analysis of the logs by using SQL queries. Develop data visualizations by using Amazon QuickSight.
Answers
C.
Create an AWS Lambda function to convert the logs to CSV format. Add the Lambda function to the Kinesis Data Firehose transformation configuration. Use Amazon Redshift to perform a one-time analysis of the logs by using SQL queries. Develop data visualizations by using Amazon QuickSight.
D.
Create an Amazon EMR cluster and use Amazon S3 as the data source. Create an Apache Spark job to perform a one-time analysis of the logs. Develop data visualizations by using Amazon QuickSight.
Answers
D.
Create an Amazon EMR cluster and use Amazon S3 as the data source. Create an Apache Spark job to perform a one-time analysis of the logs. Develop data visualizations by using Amazon QuickSight.
Suggested answer: A

Explanation:

This solution meets the requirements because:

AWS Glue is a fully managed extract, transform, and load (ETL) service that can be used to prepare and load data for analytics1.You can use AWS Glue to create a crawler that automatically scans your logs in S3 and infers their schema and format1.The crawler can also update the AWS Glue Data Catalog, which is a central metadata repository that Athena uses to access your data in S31.

Amazon Athena is an interactive query service that allows you to analyze data in S3 using standard SQL2.You can use Athena to perform ad-hoc analyses on your logs without having to load them into a database or data warehouse2.Athena is serverless, so you only pay for the queries you run and the amount of data scanned by each query2.

Amazon QuickSight is a scalable, serverless, embeddable, machine learning-powered business intelligence service that can create interactive dashboards3.You can use QuickSight to develop data visualizations from your Athena queries and share them with others3.QuickSight also supports live analytics, which means you can see the latest data without having to refresh your dashboards3.

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asked 16/09/2024
Moraes, Jefferson
45 questions
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