Which deployment method is typically more resource-intensive?Review LaterBatch processingReal-time streamingBoth methods have similar resource requirementsNeither method requires significant resources

What is the main difference between batch processing and real-time streaming in model deployment?Review LaterBatch processing uses small batches of data, while real-time streaming processes data continuously.Batch processing requires human intervention, while real-time streaming is fully automated.Batch processing operates offline, while real-time streaming operates online.Batch processing is slower but more accurate, while real-time streaming is faster but less accurate.

Which AWS service can identify the optimal resource configuration for workloads to reduce costs and increase performance?Question 13Answera.AWS Budgetsb.AWS Cost Explorerc.AWS Compute Optimizerd.AWS Systems Manager

What requires less resources?Choose the best optionClear ResponsethreadprocessThread and ProcessNeither Thread nor Process

Which architecture combines batch processing and real-time stream processing?a.Lambda Architectureb.Kappa Architecturec.Sigma Architectured.Lambda Architecture

Question 6A solutions architect is designing a solution that needs real-time data ingestion. They are considering either Amazon Kinesis Data Firehose or Amazon Kinesis Data Streams for this solution. Which service should the solutions architect choose to meet the requirement for real-time data ingestion, and why? (Remember that lower data latency means a lower roundtrip time from when data is ingested and available.)1 pointAmazon Kinesis Data Firehose, because it has lower latency when compared to Amazon Kinesis Data StreamsAmazon Kinesis Data Firehose, because it has higher latency when compared to Amazon Kinesis Data StreamsAmazon Kinesis Data Streams, because it has lower latency when compared to Amazon Kinesis Data FirehoseAmazon Kinesis Data Streams, because it has higher latency when compared to Amazon Kinesis Data Firehose