You work as a machine learning specialist for a cruise ship company. Due to new health restrictions, your company needs to only book their cruise ships at 50% capacity across all of their cruise offerings. To maximize profitability, you have been asked to create a model that gathers streaming data from various data sources such as weather services, census data, gross national product for various countries, spending habits across various countries, etc. You will use this data to build a model that uses clusters of data to predict cruise allocation. You need to perform feature engineering, such as feature transformations, on your streaming data and then load it into your company’s MongoDB database. What is the most efficient solution for your scenario?

Answer options:

A.Stream your data sources via Kinesis Data Firehose to your MongoDB database, using a Lambda function to perform feature transformations.
B.Stream your data sources via Kinesis Data Streams to your MongoDB database, using Kinesis Data Analytics to perform feature transformations.
C.Stream your data sources via Kinesis Data Analytics (using Apache Flink to perform feature transformations) to your MongoDB database.
D.Stream your data sources via Kinesis Data Firehose to your MongoDB database, using a Glue ETL job to perform feature transformations.

Correct Answer: A
Option A is correct. You can stream your data sources via Kinesis Data Firehose, use a Lambda function that you write to perform feature transformations, then stream the transformed data to an HTTP endpoint for the MongoDB third-party service provider.
Option B is incorrect. Kinesis Data Analytics cannot write directly to a MongoDB HTTP endpoint.
Option C is incorrect. Kinesis Data Analytics cannot write directly to a MongoDB HTTP endpoint.
Option D is incorrect. This option will be much less efficient than option A because the Glue ETL job will have to write to S3, then you would have to write a script to load the data into MongoDB.References:
Please see the Amazon Kinesis Data Firehose developer guide titled What Is Amazon Kinesis Data Firehose? (https://docs.aws.amazon.com/firehose/latest/dev/what-is-this-service.html),
The Amazon Kinesis Data Firehose developer guide titled Amazon Kinesis Data Firehose Data Transformation (https://docs.aws.amazon.com/firehose/latest/dev/data-transformation.html),
The Amazon Kinesis Data Analytics developer guide titled Kinesis Data Analytics for Apache Flink: How It Works (https://docs.aws.amazon.com/kinesisanalytics/latest/java/how-it-works.html),
The Amazon Kinesis Data Firehose developer guide titled Using Amazon Kinesis Data Analytics (https://docs.aws.amazon.com/firehose/latest/dev/data-analysis.html)