Online Access Free AWS-Solutions-Associate Exam Questions

A company wants to migrate applications from its on-premises servers to AWS. As a first step, the company is modifying and migrating a non-critical application to a single Amazon EC2 instance. The application will store information in an Amazon S3 bucket. The company needs to follow security best practices when deploying the application on AWS.
Which approach should the company take to allow the application to interact with Amazon S3?

• A.Store the files in an Amazon S3 bucket. Use the S3 Glacier Instant Retrieval storage class. Create an S3 Lifecycle policy to transition the files to the S3 Glacier Deep Archive storage class after 1 year.
• B.Store the files on an Amazon Elastic Block Store (Amazon EBS) volume. Use Amazon Data Lifecycle Manager to create snapshots of the EBS volumes and to store those snapshots in Amazon S3.
• C.Store the files on an Amazon Elastic File System (Amazon EFS) mount. Configure EFS lifecycle management to transition the files to the EFS Standard-Infrequent Access (Standard-IA) storage class after 1 year.
• D.Store the files in an Amazon S3 bucket. Use the S3 Standard storage class. Create an S3 Lifecycle policy to transition the files to the S3 Glacier Flexible Retrieval storage class after 1 year.

An adventure company has launched a new feature on its mobile app. Users can use the feature to upload their hiking and rafting photos and videos anytime. The photos and videos are stored in Amazon S3 Standard storage in an S3 bucket and are served through Amazon CloudFront.
The company needs to optimize the cost of the storage. A solutions architect discovers that most of the uploaded photos and videos are accessed infrequently after 30 days. However, some of the uploaded photos and videos are accessed frequently after 30 days. The solutions architect needs to implement a solution that maintains millisecond retrieval availability of the photos and videos at the lowest possible cost.
Which solution will meet these requirements?

• A.Configure an S3 Lifecycle policy to transition image objects and video objects from S3 Standard to S3 Glacier Deep Archive after 30 days.
• B.Configure S3 Intelligent-Tiering on the S3 bucket.
• C.Add a Cache-Control: max-age header to the S3 image objects and S3 video objects. Set the header to
  30 days.
• D.Replace Amazon S3 with an Amazon Elastic File System (Amazon EFS) file system that is mounted on Amazon EC2 instances.

A company is developing a highly available natural language processing (NLP) application. The application handles large volumes of concurrent requests. The application performs NLP tasks such as entity recognition, sentiment analysis, and key phrase extraction on text data.
The company needs to store data that the application processes in a highly available and scalable database.
Options:

• A.Create an Amazon API Gateway WebSocket API endpoint to handle incoming requests. Configure the WebSocket API to invoke an AWS Lambda function for each request. Configure the Lambda function to call Amazon Textract to perform NLP tasks on the text data. Store the processed data in Amazon ElastiCache.
• B.Create an Amazon API Gateway REST API endpoint to handle incoming requests. Configure the REST API to invoke an AWS Lambda function for each request. Configure the Lambda function to call Amazon Comprehend to perform NLP tasks on the text data. Store the processed data in Amazon DynamoDB.
• C.Create an Amazon SQS queue to buffer incoming requests. Deploy the NLP application on Amazon EC2 instances in an Auto Scaling group. Use Amazon Comprehend to perform NLP tasks. Store the processed data in an Amazon RDS database.
• D.Create an Amazon API Gateway HTTP API endpoint to handle incoming requests. Configure the HTTP API to invoke an AWS Lambda function for each request. Configure the Lambda function to call Amazon Translate to perform NLP tasks on the text data. Store the processed data in Amazon ElastiCache.

A company has an application that processes information from documents that users upload. When a user uploads a new document to an Amazon S3 bucket, an AWS Lambda function is invoked. The Lambda function processes information from the documents.
The company discovers that the application did not process many recently uploaded documents. The company wants to ensure that the application processes each document with retries if there is an error during the first attempt to process the document.
Which solution will meet these requirements?

• A.Deploy an Application Load Balancer in front of the Lambda function that processes the documents.
• B.Create an Amazon API Gateway REST API that has a proxy integration to the Lambda function.
  Update the application to send requests to the REST API.
• C.Configure an Amazon Simple Queue Service (Amazon SQS) queue as an event source for the Lambda function. Configure an S3 event notification on the S3 bucket to send new document upload events to the SQS queue.
• D.Configure a replication policy on the S3 bucket to stage the documents in another S3 bucket that an AWS Batch job processes on a daily schedule.

A company hosts an application on AWS. The application gives users the ability to upload photos and store the photos in an Amazon S3 bucket. The company wants to use Amazon CloudFront and a custom domain name to upload the photo files to the S3 bucket in the eu-west-1 Region.
Which solution will meet these requirements? (Select TWO.)

• A.Configure Amazon S3 to allow uploads from CloudFront origin access control (OAC).
• B.Use AWS Certificate Manager (ACM) to create a public certificate in the us-east-1 Region. Use the certificate in CloudFront
• C.Configure Amazon S3 to allow uploads from CloudFront. Configure an Amazon S3 website endpoint.
• D.Use AWS Certificate Manager (ACM) to create a public certificate in eu-west-1. Use the certificate in CloudFront.
• E.Configure Amazon S3 to allow uploads from CloudFront. Configure S3 Transfer Acceleration.