Amazon SAA-C03 Practice Test - Questions Answers, Page 89
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A finance company is migrating its trading platform to AWS. The trading platform processes a high volume of market data and processes stock trades. The company needs to establish a consistent, low-latency network connection from its on-premises data center to AWS.
The company will host resources in a VPC. The solution must not use the public internet.
Which solution will meet these requirements?
Use AWS Client VPN to connect the on-premises data center to AWS.
Use AWS Direct Connect to set up a connection from the on-premises data center to AWS
Use AWS PrivateLink to set up a connection from the on-premises data center to AWS.
Use AWS Site-to-Site VPN to connect the on-premises data center to AWS.
A company tracks customer satisfaction by using surveys that the company hosts on its website. The surveys sometimes reach thousands of customers every hour. Survey results are currently sent in email messages to the company so company employees can manually review results and assess customer sentiment.
The company wants to automate the customer survey process. Survey results must be available for the previous 12 months.
Which solution will meet these requirements in the MOST scalable way?
Send the survey results data to an Amazon API Gateway endpoint that is connected to an Amazon Simple Queue Service (Amazon SQS) queue. Create an AWS Lambda function to poll the SQS queue, call Amazon Comprehend for sentiment analysis, and save the results to an Amazon DynamoDB table. Set the TTL for all records to 365 days in the future.
Send the survey results data to an API that is running on an Amazon EC2 instance. Configure the API to store the survey results as a new record in an Amazon DynamoDB table, call Amazon Comprehend for sentiment analysis, and save the results in a second DynamoDB table. Set the TTL for all records to 365 days in the future.
Write the survey results data to an Amazon S3 bucket. Use S3 Event Notifications to invoke an AWS Lambda function to read the data and call Amazon Rekognition for sentiment analysis. Store the sentiment analysis results in a second S3 bucket. Use S3 Lifecycle policies on each bucket to expire objects after 365 days.
Send the survey results data to an Amazon API Gateway endpoint that is connected to an Amazon Simple Queue Service (Amazon SQS) queue. Configure the SQS queue to invoke an AWS Lambda function that calls Amazon Lex for sentiment analysis and saves the results to an Amazon DynamoDB table. Set the TTL for all records to 365 days in the future.
An online gaming company is transitioning user data storage to Amazon DynamoDB to support the company's growing user base. The current architecture includes DynamoDB tables that contain user profiles, achievements, and in-game transactions.
The company needs to design a robust, continuously available, and resilient DynamoDB architecture to maintain a seamless gaming experience for users.
Which solution will meet these requirements MOST cost-effectively?
Create DynamoDB tables in a single AWS Region. Use on-demand capacity mode. Use global tables to replicate data across multiple Regions.
Use DynamoDB Accelerator (DAX) to cache frequently accessed data. Deploy tables in a single AWS Region and enable auto scaling. Configure Cross-Region Replication manually to additional Regions.
Create DynamoDB tables in multiple AWS Regions. Use on-demand capacity mode. Use DynamoDB Streams for Cross-Region Replication between Regions.
Use DynamoDB global tables for automatic multi-Region replication. Deploy tables in multiple AWS Regions. Use provisioned capacity mode. Enable auto scaling.
A logistics company is creating a data exchange platform to share shipment status information with shippers. The logistics company can see all shipment information and metadata. The company distributes shipment data updates to shippers.
Each shipper should see only shipment updates that are relevant to their company. Shippers should not see the full detail that is visible to the logistics company. The company creates an Amazon Simple Notification Service (Amazon SNS) topic for each shipper to share data. Some shippers use a mobile app to submit shipment status updates.
The company needs to create a data exchange platform that provides each shipper specific access to the data that is relevant to their company.
Which solution will meet these requirements with the LEAST operational overhead?
Ingest the shipment updates from the mobile app into Amazon Simple Queue Service (Amazon SQS). Publish the updates to the SNS topic. Apply a filter policy to rewrite the body of each message.
Ingest the shipment updates from the mobile app into Amazon Simple Queue Service (Amazon SQS). Use an AWS Lambda function to consume the updates from Amazon SQS and rewrite the body of each message. Publish the updates to the SNS topic.
Ingest the shipment updates from the mobile app into a second SNS topic. Publish the updates to the shipper SNS topic. Apply a filter policy to rewrite the body of each message.
Ingest the shipment updates from the mobile app into Amazon Simple Queue Service (Amazon SQS). Filter and rewrite the messages in Amazon EventBridge Pipes. Publish the updates to the SNS topic.
A company is deploying a new gaming application on Amazon EC2 instances. The gaming application needs to have access to shared storage.
The company requires a high-performance solution to give the application the ability to use an existing custom protocol to access shared storage. The solution must ensure low latency and must be operationally efficient.
Which solution will meet these requirements?
Create an Amazon FSx File Gateway. Create a file share that uses the existing custom protocol. Connect the EC2 instances that host the application to the file share.
Create an Amazon EC2 Windows instance. Install and configure a Windows file share role on the instance. Connect the EC2 instances that host the application to the file share.
Create an Amazon Elastic File System (Amazon EFS) file system. Configure the file system to support Lustre. Connect the EC2 instances that host the application to the file system.
Create an Amazon FSx for Lustre file system. Connect the EC2 instances that host the application to the file system.
A company is developing a rating system for its ecommerce web application. The company needs a solution to save ratings that users submit in an Amazon DynamoDB table.
The company wants to ensure that developers do not need to interact directly with the DynamoDB table. The solution must be scalable and reusable.
Which solution will meet these requirements with the LEAST operational overhead?
Create an Application Load Balancer (ALB). Create an AWS Lambda function, and set the function as a target group in the ALB. Invoke the Lambda function by using the put_item method through the ALB.
Create an AWS Lambda function. Configure the Lambda function to interact with the DynamoDB table by using the put-item method from Boto3. Invoke the Lambda function from the web application.
Create an Amazon Simple Queue Service (Amazon SQS) queue and an AWS Lambda function that has an SQS trigger type. Instruct the developers to add customer ratings to the SQS queue as JSON messages. Configure the Lambda function to fetch the ratings from the queue and store the ratings in DynamoDB.
Create an Amazon API Gateway REST API Define a resource and create a new POST method Choose AWS as the integration type, and select DynamoDB as the service. Set the action to PutItem.
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