A company wants to containerize an existing three-tier web application and deploy it to Amazon ECS Fargate.
The application is using session data to keep track of user activities.
Which approach would provide the BEST user experience?

• A.Provision a Redic cluster in Amazon ElasticCache and save the session data in the cluster
• B.Create a session table in Amazon Redshift and save the session data in the database table.
• C.Use an Amazon S3 bucket as data store and save the session data in the bucket.
• D.Enable session stickness in the existing Network Load Balancer and manage the session data in the container.

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After launching an instance that you intend to serve as a NAT (Network Address Translation) device in a public subnet you modify your route tables to have the NAT device be the target of internet bound traffic of your private subnet. When you try and make an outbound connection to the Internet from an instance in the private subnet, you are not successful.
Which of the following steps could resolve the issue?

• A.Attaching an Elastic IP address to the instance in the private subnet
• B.Attaching a second Elastic Network Interface (ENI) to the instance in the private subnet, and placing it in the public subnet
• C.Disabling the Source/Destination Check attribute on the NAT instance
• D.Attaching a second Elastic Network interface (ENI) to the NAT instance, and placing it in the private subnet

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An application stores payroll information nightly in DynamoDB for a large number of employees across hundreds of offices. Item attributes consist of individual name, office identifier, and cumulative daily hours.
Managers run reports for ranges of names working in their office. One query is. "Return all Items in this office for names starting with A through E".
Which table configuration will result in the lowest impact on provisioned throughput for this query?

• A.Configure a hash index on the name attribute and no range index
• B.Configure the table to have a range index on the name attribute, and a hash index on the office identifier
• C.Configure a hash index on the office Identifier attribute and no range index
• D.Configure the table to have a hash index on the name attribute, and a range index on the office identifier

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A company hosts a client-side web application for one of its subsidiaries on Amazon S3. The web application can be accessed through Amazon CloudFront from https://www.example.com. After a successful rollout, the company wants to host three more client-side web applications for its remaining subsidiaries on three separate S3 buckets.
To achieve this goal, a developer moves all the common JavaScript files and web fonts to a central S3 bucket that serves the web applications. However, during testing, the developer notices that the browser blocks the JavaScript files and web fonts.
What should the developer do to prevent the browser from blocking the JavaScript files and web fonts?

• A.Create a Content-MD5 header that provides a message integrity check for the central S3 bucket. insert the Content-MD5 header for each web application request.
• B.Create a bucket policy that allows access to the central S3 bucket. Attach the bucket policy to the central S3 bucket.
• C.Create four access points that allow access to the central S3 bucket. Assign an access point to each web application bucket.
• D.Create a cross-origin resource sharing (CORS) configuration that allows access to the central S3 bucket. Add the CORS configuration to the central S3 bucket.

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A web application is using Amazon Kinesis Streams for clickstream data that may not be consumed for up to 12 hours.
How can the Developer implement encryption at rest for data within the Kinesis Streams?

• A.Enable SSL connections to Kinesis
• B.Use Amazon Kinesis Consumer Library
• C.Encrypt the data once it is at rest with a Lambda function
• D.Enable server-side encryption in Kinesis Streams

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