You work as a machine learning specialist for a financial services firm. Your machine learning team has been tasked with building a quantitative analysis model for your mutual fund portfolio managers in the firm`s quant department. You have several financial data provider data sources that you need to use in your model. You are looking for the optimal data source platform to ingest data into your machine learning jupyter notebook environment. Which options are NOT a data source platform that you can use? (Select TWO)

Answer options:

A.Athena
B.Redshift
C.EMR
D.DynamoDB
E.RDS

Correct Answers: D and E
Option A is incorrect. The most commonly used data source for SageMaker is an S3 bucket. However, you can also use Athena, EMR, and Redshift as data sources for SageMaker.
Option B is incorrect. The most commonly used data source for SageMaker is an S3 bucket. However, you can also use Athena, EMR, and Redshift as data sources for SageMaker.
Option C is incorrect. The most commonly used data source for SageMaker is an S3 bucket. However, you can also use Athena, EMR, and Redshift as data sources for SageMaker.
Option D is correct. DynamoDB is not a viable data source for ingesting data into your machine learning jupyter notebook environment.
Option E is correct. RDS is not a viable data source for ingesting data into your machine learning jupyter notebook environment.
References:
Please see the Amazon SageMaker Examples Read the Docs Data Ingestion guide titled Get started with data ingestion (https://sagemaker-examples.readthedocs.io/en/latest/ingest_data/index.html),
The Amazon SageMaker Examples Read the Docs Data Ingestion guide titled Ingest data with Athena (https://sagemaker-examples.readthedocs.io/en/latest/ingest_data/02_Ingest_data_with_Athena_v1.html),
The Amazon SageMaker Examples Read the Docs Data Ingestion guide titled Ingest Data with EMR (https://sagemaker-examples.readthedocs.io/en/latest/ingest_data/04_Ingest_data_with_EMR.html),
The Amazon SageMaker Examples Read the Docs Data Ingestion guide titled Ingest data with Redshift (https://sagemaker-examples.readthedocs.io/en/latest/ingest_data/03_Ingest_data_with_Redshift_v3.html)