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A customer has an Amazon S3 bucket. Objects are uploaded simultaneously by a cluster of servers from multiple streams of data. The customer maintains a catalog of objects uploaded in Amazon S3 using an Amazon DynamoDB table. This catalog has the following fileds: StreamName, TimeStamp, and ServerName, from which ObjectName can be obtained.

The customer needs to define the catalog to support querying for a given stream or server within a defined time range.

Which DynamoDB table scheme is most efficient to support these queries?

A. Define a Primary Key with ServerName as Partition Key and TimeStamp as Sort Key. Do NOT define a Local Secondary Index or Global Secondary Index.

B. Define a Primary Key with StreamName as Partition Key and TimeStamp followed by ServerName as Sort Key. Define a Global Secondary Index with ServerName as partition key and TimeStamp followed by StreamName.

C. Define a Primary Key with ServerName as Partition Key. Define a Local Secondary Index with StreamName as Partition Key. Define a Global Secondary Index with TimeStamp as Partition Key.

D. Define a Primary Key with ServerName as Partition Key. Define a Local Secondary Index with TimeStamp as Partition Key. Define a Global Secondary Index with StreamName as Partition Key and TimeStamp as Sort Key.

You have written a server-side Node.js application and a web application with an HTML/JavaScript front end that uses the Angular.js Framework. The server-side application connects to an Amazon Redshift cluster, issue queries, and then returns the results to the front end for display. Your user base is very large and distributed, but it is important to keep the cost of running this application low.

Which deployment strategy is both technically valid and the most cost-effective?

A. Deploy an AWS Elastic Beanstalk application with two environments: one for the Node.js application and another for the web front end. Launch an Amazon Redshift cluster, and point your application to its

Java Database connectivity (JDBC) endpoint

B. Deploy an AWS OpsWorks stack with three layers: a static web server layer for your front end, a Node.js app server layer for your server-side application, and a Redshift DB layer Amazon Redshift cluster

C. Upload the HTML, CSS, images, and JavaScript for the front end to an Amazon Simple Storage Service (S3) bucket. Create an Amazon CloudFront distribution with this bucket as its origin. Use AWS Elastic Beanstalk to deploy the Node.js application. Launch an Amazon Redshift cluster, and point your application to its JDBC endpoint

D. Upload the HTML, CSS, images, and JavaScript for the front end, plus the Node.js code for the server-side application, to an Amazon S3 bucket. Create a CloudFront distribution with this bucket as its origin. Launch an Amazon Redshift cluster, and point your application to its JDBC endpoint

E. Upload the HTML, CSS, images, and JavaScript for the front end to an Amazon S3 bucket. Use AWS Elastic Beanstalk to deploy the Node.js application. Launch an Amazon Redshift cluster, and point your application to its JDBC endpoint

You are configuring your company's application to use Auto Scaling and need to move user state information. Which of the following AWS services provides a shared data store with durability and low latency?

A. Amazon Simple Storage Service

B. Amazon DynamoDB

C. Amazon EC2 instance storage

D. AWS ElasticCache Memcached

Is there any way to own a direct connection to Amazon Web Services?

A. You can create an encrypted tunnel to VPC, but you don't own the connection.

B. Yes, it's called Amazon Dedicated Connection.

C. No, AWS only allows access from the public Internet.

D. Yes, it's called Direct Connect.

What is an isolated database environment running in the cloud (Amazon RDS) called?

A. DB Instance

B. DB Unit

C. DB Server

D. DB Volume