MSP Bank, Limited is a leading Japanese monetary institution that provides a full range of financial products and services to both institutional and individual customers. It is headquartered in Tokyo. MSP Bank is hosting their existing infrastructure on premise.
MSP bank has lot of web applications, databases and data warehouse built on Teradata, NoSQL databases, and other types of data stores. MSP bank has lot of data assets in terms of logs, documents; excel files, CSV files, PDF documents and others.
The Web Application has different user workloads at different parts of the day. MSP Bank is running one of their web application NODE.JS supported by MSSQL relational database. The schema designed is based on 3NF. MSP Bank want to migrate the database on to AWS cloud. Also MSP Bank is looking to build a new database solution which is optimized for storing billions of relationships and querying the storage with milliseconds latency. Which AWS services fulfill the requirement? select 1 option.

Answer options:

A.AWS Aurora is a multi-modal database. It supports both relational model and graph model. So AWS Aurora fulfills both the requirements
B.AWS RDS is a multi-modal database. It supports both relational model and graph model. So AWS RDS fulfills both the requirements
C.AWS RDS fulfils the relational database requirements while AWS DynamoDB supports managing relationships through its graph model
D. AWS Aurora fulfils the relational database requirements while AWS Neptune supports managing relationships through its graph model
E.AWS DynamoDB fulfils the relational database requirements while AWS Neptune supports managing relationships through its graph model
F.AWS DynamoDB supports both relational and graph model.

Answer: D
Option A is incorrect - Amazon Aurora (Aurora) is a fully managed relational database engine that`s compatible with MySQL and PostgreSQL. You already know how MySQL and PostgreSQL combine the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-sourcedatabases. The code, tools, and applications you use today with your existing MySQL and PostgreSQL databases can be used with Aurora. With some workloads, Aurora can deliver up to five times the throughput of MySQL and up to three times the throughput of PostgreSQL without requiring changes to most of your existing applications.
Amazon Aurora supports relational data models and does not support graph model. 
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_AuroraOverview.html
Option B is incorrect -Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizable capacity for an industry-standard relational database and manages common database administration tasks. 
Amazon RDS supports relational data models and does not support graph model. 
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Welcome.html
Option C is incorrect -Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizable capacity for an industry-standard relational database and manages common database administration tasks.
Amazon RDS supports relational data models and does not support graph model. 
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Welcome.html 
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. DynamoDB lets you offload the administrative burdens of operating and scaling a distributed database, so that you don`t have to worry about hardware provisioning, setup and configuration, replication, software patching, or cluster scaling. 
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Introduction.html
Option D is correct -Amazon Aurora (Aurora) is a fully managed relational database engine that`s compatible with MySQL and PostgreSQL. You already know how MySQL and PostgreSQL combine the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-sourcedatabases. The code, tools, and applications you use today with your existing MySQL and PostgreSQL databases can be used with Aurora. With some workloads, Aurora can deliver up to five times the throughput of MySQL and up to three times the throughput of PostgreSQL without requiring changes to most of your existing applications. Amazon Aurora supports relational data models 
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_AuroraOverview.html
Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Neptune is a purpose-built,high-performance graph database engine that is optimized for storing billions of relationships and querying the graph with milliseconds latency 
https://docs.aws.amazon.com/neptune/latest/userguide/intro.html
Option E is incorrect -Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. DynamoDB lets you offload the administrative burdens of operating and scaling a distributed database, so that you don`t have to worry about hardware provisioning, setup and configuration, replication, software patching, or cluster scaling. 
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Introduction.html
Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Neptune is a purpose-built,high-performance graph database engine that is optimized for storing billions of relationships and querying the graph with milliseconds latency 
https://docs.aws.amazon.com/neptune/latest/userguide/intro.html
Option F is incorrect -Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. DynamoDB lets you offload the administrative burdens of operating and scaling a distributed database, so that you don`t have to worry about hardware provisioning, setup and configuration, replication, software patching, or cluster scaling. 
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Introduction.html
DynamoDB neither supports relational model nor graph model.