You have some very sensitive data stored on AWS S3 and want to try every possible alternative to keeping it secure in regards to access control. What are the mechanisms available for access control on
AWS S3?

• A.(IAM) policies, Access Control Lists (ACLs), bucket policies, and query string authentication.
• B.(IAM) policies, Access Control Lists (ACLs) and bucket policies.
• C.Access Control Lists (ACLs), bucket policies, and query string authentication
• D.(IAM) policies, Access Control Lists (ACLs), bucket policies, query string authentication and encryption.

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A company owns an asynchronous API that is used to ingest user requests and, based on the request type, dispatch requests to the appropriate microservice for processing. The company is using Amazon API Gateway to deploy the API front end, and an AWS Lambda function that invokes Amazon DynamoDB to store user requests before dispatching them to the processing microservices.
The company provisioned as much DynamoDB throughput as its budget allows, but the company is still experiencing availability issues and is losing user requests.
What should a solutions architect do to address this issue without impacting existing users?

• A.Add throttling on the API Gateway with server-side throttling limits.
• B.Use DynamoDB Accelerator (DAX) and Lambda to buffer writes to DynamoDB.
• C.Create a secondary index in DynamoDB for the table with the user requests.
• D.Use the Amazon Simple Queue Service (Amazon SQS) queue and Lambda to buffer writes to DynamoDB.

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A company's website is using an Amazon RDS MySQL Multi-AZ DB instance for its transactional data storage.
There are other internal systems that query this DB instance to fetch data for internal batch processing. The RDS DB instance slows down significantly when the internal systems fetch data. This impacts the website's read and write performance, and the users experience slow response times.
Which solution will improve the website's performance?

• A.Use an RDS PostgreSQL DB instance instead of a MySQL database.
• B.Use Amazon ElastiCache to cache the query responses for the website.
• C.Add an additional Availability Zone to the current RDS MySQL Multi-AZ DB instance.
• D.Add a read replica to the RDS DB instance and configure the internal systems to query the read replica.

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A company runs an application on Amazon EC2 Linux instances across multiple Availability Zones. The application needs a storage layer that is highly available and Portable Operating System Interface (POSIX) compliant. The storage layer must provide maximum data durability and must be shareable across the EC2 instances. The data in the storage layer will be accessed frequency for the first 30 days and will be accessed infrequently alter that time.
Which solution will meet these requirements MOST cost-effectively?

• A.Use the Amazon S3 Standard storage class Create an S3 Lifecycle policy to move infrequently accessed data to S3 Glacier
• B.Use the Amazon Elastic File System (Amazon EFS) Standard storage class. Create a Lifecycle management policy to move infrequently accessed data to EFS Standard-Infrequent Access (EFS Standard-IA)
• C.Use the Amazon S3 Standard storage class. Create an S3 Lifecycle policy to move infrequently accessed data to S3 Standard-Infrequent Access (EF3 Standard-IA).
• D.Use the Amazon Elastic File System (Amazon EFS) One Zone storage class. Create a Lifecycle management policy to move infrequently accessed data to EFS One Zone-Infrequent Access (EFS One Zone-IA).

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A company is rolling out a new web service, but is unsure how many customers the service will attract.
However, the company is unwilling to accept any downtime.
What could a Solutions Architect recommend to the company in order to keep track of customers' current session data?

• A.Amazon EC2
• B.Amazon RDS
• C.AWS CloudTrail
• D.Amazon DynamoDB

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