Amazon Exam DAS-C01 Topic 4 Question 81 Discussion

Actual exam question for Amazon's DAS-C01 exam

Question #: 81
Topic #: 4

A company developed a new elections 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 low-cost option to perform this infrequent data analysis with visualizations of logs in a way that requires minimal development effort.

Which solution meets these requirements?

AUse an AWS Glue crawler to create and update a table in the Glue data catalog from the logs. Use Athena to perform ad-hoc analyses and use Amazon QuickSight to develop data visualizations.

BCreate a second Kinesis Data Firehose delivery stream to deliver the log files to Amazon Elasticsearch Service (Amazon ES). Use Amazon ES to perform text-based searches of the logs for ad-hoc analyses and use Kibana for data visualizations.

CCreate an AWS Lambda function to convert the logs into .csv format. Then add the function to the Kinesis Data Firehose transformation configuration. Use Amazon Redshift to perform ad-hoc analyses of the logs using SQL queries and use Amazon QuickSight to develop data visualizations.

DCreate an Amazon EMR cluster and use Amazon S3 as the data source. Create an Apache Spark job to perform ad-hoc analyses and use Amazon QuickSight to develop data visualizations.

Show Suggested Answer

Suggested Answer: B

by Trinidad at Oct 20, 2023, 10:21 PM

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Dortha

1 years ago

Oof, this is a tough one. I can see the merits of both options B and C, but I'm a little hesitant about the development effort required. I wonder if there's a way to automate some of that process, you know? Like, maybe we could write a script or something to handle the permissions management for us. That could be a real time-saver.

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Wilson

1 years ago

You know, I was actually leaning towards option A at first. Setting IAM permissions for AWS Glue seems like it could be a good way to simplify things. But then I started thinking about the overall size of the data lake and the need to keep everything in sync. Maybe option B is the way to go, even if it's a bit more heavy-duty.

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Felicitas

1 years ago

I'm not so sure about that, to be honest. Option B might be the most straightforward solution, but I'm wondering if it's overkill for this use case. What about option C, managing the permissions using bucket policies? That could be a simpler approach, and it might be more flexible in the long run.

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Gilma

1 years ago

Hmm, this is a tricky one. The data lake has grown exponentially, and the administrator needs a way to simplify permissions management between S3 and the Data Catalog. I think option B, using AWS Lake Formation permissions, is the way to go here. It's designed specifically for managing permissions in a data lake, and it can help keep everything in sync with minimal development effort.

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