Company A operates in Country X, Company A maintains a large dataset of historical purchase orders that contains personal data of their customers in the form of full names and telephone numbers. The dataset consists of 5 text files. 1TB each. Currently the dataset resides on- premises due to legal requirements of storing personal data in-country. The research and development department need to run a clustering algorithm on the dataset and wants to use Elastic Map Reduce service in the closes AWS region. Due to geographic distance the minimum latency between the on-premises system and the closet AWS region is 200 ms.
Which option allows Company A to do clustering in the AWS Cloud and meet the legal requirement of maintaining personal data in-country?
An administrator is processing events in near real-time using Kinesis streams and Lambd
a. Lambda intermittently fails to process batches from one of the shards due to a 5 --minute time limit. What is a possible solution for this problem?
Are you able to integrate a multi-factor token service with the AWS Platform?
My Read Replica appears "stuck" after a Multi-AZ failover and is unable to obtain or apply updates from the source DB Instance. What do I do?
An organization is using Amazon Kinesis Data Streams to collect data generated from thousands of temperature devices and is using AWS Lambda to process the data. Devices generate 10 to 12 million records every day, but Lambda is processing only around 450 thousand records. Amazon CloudWatch indicates that throttling on Lambda is not occurring.
What should be done to ensure that all data is processed? (Choose two.)
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