An organization is developing a mobile social application and needs to collect logs from all devices on which it is installed. The organization is evaluating the Amazon Kinesis Data Streams to push logs and Amazon EMR to process data. They…
An organization currently runs a large Hadoop environment in their data center and is in the process of creating an alternative Hadoop environment on AWS, using Amazon EMR. They generate around 20 TB of data on a monthly basis. Also…
An organization has added a clickstream to their website to analyze traffic. The website is sending each page request with the PutRecord API call to an Amazon Kinesis stream by using the page name as the partition key. During peak…
An organization would like to run analytics on their Elastic Load Balancing logs stored in Amazon S3 and join this data with other tables in Amazon S3. The users are currently using a BI tool connecting with JDBC and would…
An Operations team continuously monitors the number of visitors to a website to identify any potential system problems. The number of website visitors varies throughout the day. The site is more popular in the middle of the day and less…
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…
An organization is currently using an Amazon EMR long-running cluster with the latest Amazon EMR release for analytic jobs and is storing data as external tables on Amazon S3. The company needs to launch multiple transient EMR clusters to access…
An organization is setting up a data catalog and metadata management environment for their numerous data stores currently running on AWS. The data catalog will be used to determine the structure and other attributes of data in the data stores.…
An organization is soliciting public feedback through a web portal that has been deployed to track the number of requests and other important data. As part of reporting and visualization, AmazonQuickSight connects to an Amazon RDS database to virtualize data.…
How should an Administrator BEST architect a large multi-layer Long Short-Term Memory (LSTM) recurrent neural network (RNN) running with MXNET on Amazon EC2? (Choose two.) A. Use data parallelism to partition the workload over multiple devices and balance the workload…