A Financial Services Company Has an On-Premises Environment That Ingests

question 798

Multiple Choice

A financial services company has an on-premises environment that ingests market data feeds from stock exchanges, transforms the data, and sends the data to an internal Apache Kafka cluster. Management wants to leverage AWS services to build a scalable and near-real-time solution with consistent network performance to provide stock market data to a web application. Which steps should a solutions architect take to build the solution? (Choose three.)

• A) Establish an AWS Direct Connect connection from the on-premises data center to AWS.
• B) Create an Amazon EC2 Auto Scaling group to pull the messages from the on-premises Kafka cluster and use the Amazon Consumer Library to put the data into an Amazon Kinesis data stream.
• C) Create an Amazon EC2 Auto Scaling group to pull the messages from the on-premises Kafka cluster and use the Amazon Kinesis Producer Library to put the data into a Kinesis data stream.
• D) Create a WebSocket API in Amazon API Gateway, create an AWS Lambda function to process an Amazon Kinesis data stream, and use the @connections command to send callback messages to connected clients.
• E) Create a GraphQL API in AWS AppSync, create an AWS Lambda function to process the Amazon Kinesis data stream, and use the @connections command to send callback messages to connected clients.
• F) Establish a Site-to-Site VPN from the on-premises data center to AWS.

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Definitions:

Discrete Variable

A variable that can take on a countable number of distinct values and cannot take on every value within its range.

Discrete Random Variable

A variable that can take on a countable number of distinct values, often associated with experiments that have a finite set of possible outcomes.

Discrete Random Variable

A variable that assumes a countable number of distinct values, with each value associated with a certain probability.

Discrete Probability Distribution

A discrete probability distribution outlines the probabilities of outcomes for discrete random variables, where outcomes are countable.