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NEW QUESTION # 849
[Design High-Performing Architectures]
A company's website handles millions of requests each day, and the number of requests continues to increase. A solutions architect needs to improve the response time of the web application. The solutions architect determines that the application needs to decrease latency when retrieving product details from the Amazon DynamoDB table.
Which solution will meet these requirements with the LEAST amount of operational overhead?
Answer: A
Explanation:
it allows the company to improve the response time of the web application and decrease latency when retrieving product details from the Amazon DynamoDB table. By setting up a DynamoDB Accelerator (DAX) cluster, the company can use a fully managed, highly available, in-memory cache for DynamoDB that delivers up to a 10x performance improvement. By routing all read requests through DAX, the company can reduce the number of read operations on the DynamoDB table and improve the user experience. Reference:
Amazon DynamoDB Accelerator (DAX)
Using DAX with DynamoDB
NEW QUESTION # 850
A company is building a serverless application to process orders from an ecommerce site. The application needs to handle bursts of traffic during peak usage hours and to maintain high availability. The orders must be processed asynchronously in the order the application receives them.
Which solution will meet these requirements?
Answer: C
Explanation:
* Amazon SQS FIFO queues ensure that orders are processed in the exact order received and maintain message deduplication.
* AWS Lambda scales automatically, handling bursts and maintaining high availability in a cost- effective manner.
* Option A and D: Amazon SNS does not guarantee ordered processing.
* Option C: Standard SQS queues do not guarantee order.
AWS Documentation References:
* Amazon SQS FIFO Queues
NEW QUESTION # 851
A company is building a containerized application on AWS. The application uses the Linux operating system. The company needs to provide a persistent storage solution for the application.
The company expects the storage solution to have varying data access patterns. The solution must have native storage tiering capabilities and must be scalable. The solution must not require the company to provision storage upfront.
Which solution will meet these requirements in the MOST cost-effective way?
Answer: D
Explanation:
Amazon EFS in Elastic throughput mode provides persistent, scalable shared storage for Linux- based containerized applications without requiring storage provisioning in advance. EFS lifecycle management supports native tiering by automatically moving files to lower-cost storage classes based on access patterns, which makes it the most cost-effective choice for variable workloads.
Amazon EFS is also natively integrated for container use cases on AWS.
NEW QUESTION # 852
A company has a large fleet of vehicles that are equipped with internet connectivity to send telemetry to the company. The company receives over 1 million data points every 5 minutes from the vehicles. The company uses the data in machine learning (ML) applications to predict vehicle maintenance needs and to preorder parts. The company produces visual reports based on the captured data. The company wants to migrate the telemetry ingestion, processing, and visualization workloads to AWS. Which solution will meet these requirements?
Answer: C
Explanation:
* Amazon Timestream: Purpose-built time series database optimized for telemetry and IoT data ingestion and analytics.
* Amazon SageMaker: Provides ML capabilities for predictive maintenance workflows.
* Amazon QuickSight: Efficiently generates interactive, real-time visual reports from Timestream data.
* Optimized for Scale: Timestream efficiently handles large-scale telemetry data with time-series indexing and queries.: Amazon Timestream Documentation
NEW QUESTION # 853
A company hosts a website analytics application on a single Amazon EC2 On-Demand Instance. The analytics application is highly resilient and is designed to run in stateless mode.
The company notices that the application is showing signs of performance degradation during busy times and is presenting 5xx errors. The company needs to make the application scale seamlessly.
Which solution will meet these requirements MOST cost-effectively?
Answer: C
Explanation:
Auto Scalingis the most effective solution for ensuring seamless scalability of a stateless application. Key points:
Dleverages Auto Scaling with a Spot Fleet for cost efficiency and attaches an ALB to distribute traffic.
A and Bdo not provide automated scaling and would require manual intervention to add more instances.
Cchanges the instance type but does not scale out horizontally, which is required here.
AWS Documentation Reference:
Amazon EC2 Auto Scaling
NEW QUESTION # 854
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