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NEW QUESTION 43
A company runs a Python script on an Amazon EC2 instance to process dat a. The script runs every 10 minutes. The script ingests files from an Amazon S3 bucket and processes the files. On average, the script takes approximately 5 minutes to process each file The script will not reprocess a file that the script has already processed.
The company reviewed Amazon CloudWatch metrics and noticed that the EC2 instance is idle for approximately 40% of the time because of the file processing speed. The company wants to make the workload highly available and scalable. The company also wants to reduce long-term management overhead.
Which solution will meet these requirements MOST cost-effectively?

A. Migrate the data processing script to a container image. Run the data processing container on an EC2 instance. Configure the container to poll the S3 bucket for new objects and to process the resulting objects.B. Migrate the data processing script to a container image that runs on Amazon Elastic Container Service (Amazon ECS) on AWS Fargate. Create an AWS Lambda function that calls the Fargate RunTaskAPI operation when the container processes the file. Use an S3 event notification to invoke the Lambda function.C. Create an Amazon Simple Queue Service (Amazon SQS) queue. Configure Amazon S3 to send event notifications to the SQS queue. Create an EC2 Auto Scaling group with a minimum size of one instance. Update the data processing script to poll the SQS queue. Process the S3 objects that the SQS message identifies.D. Migrate the data processing script to an AWS Lambda function. Use an S3 event notification to invoke the Lambda function to process the objects when the company uploads the objects.

Answer: B

 

NEW QUESTION 44
A video streaming company recently launched a mobile app for video sharing. The app uploads various files to an Amazon S3 bucket in the us-east-1 Region. The files range in size from 1 GB to 1 0 GB.
Users who access the app from Australia have experienced uploads that take long periods of time Sometimes the files fail to completely upload for these users . A solutions architect must improve the app' performance for these uploads Which solutions will meet these requirements? (Select TWO.)

A. Modify the app to add random prefixes to the files before uploadingB. Enable S3 Transfer Acceleration on the S3 bucket Configure the app to use the Transfer Acceleration endpoint for uploadsC. Set up Amazon Route 53 with latency-based routing to route the uploads to the nearest S3 bucket Region.D. Configure an S3 bucket in each Region to receive the uploads. Use S3 Cross-Region Replication to copy the files to the distribution S3 bucket.E. Configure the app to break the video files into chunks Use a multipart upload to transfer files to Amazon S3.

Answer: A,B

 

NEW QUESTION 45
A company is collecting a large amount of data from a fleet of loT devices. Data is stored as Optimized Row Columnar (ORC) files in the Hadoop Distributed File System (HDFS) on a persistent Amazon EMR cluster.
The company's data analytics team queries the data by using SQL in Apache Presto deployed on the same EMR cluster Queries scan large amounts of data always run for less than 15 minutes, and run only between 5 PM and 10 PM.
The company is concerned about the high cost associated with the current solution A solutions architect must propose the most cost-effective solution that will allow SQL data queries.
Which solution will meet these requirements?

A. Store data m Amazon S3 Use the AWS Glue Data Catalog and Amazon Athena to query data.B. Store data m Amazon S3 Use Amazon Redshift Spectrum to query data.C. Store data in Amazon Redshift Use Amazon Redshift to query dataD. Store data in EMR File System (EMRFS). Use Presto n Amazon EMR to query data.

Answer: C

 

NEW QUESTION 46
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