Creado por Sarwesh Saurabh
hace más de 7 años
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Pregunta | Respuesta |
1: If you want to process data in real-time, what AWS service should you use. | Kinesis is AWS' service for processing data in real-time, and outputting it to a dashboard or other AWS services. |
2: What is the purpose of a Kinesis producer? | Kinesis producers include things like IoT sensors and mobile devices that collect data and send it into the Kinesis stream. |
3: True or False: A Kinesis consumer can include AWS services such as Redshift and S3. True | Consumers can include Redshift and S3, but also other services like DynamoDB OR a real-time dashboard/kinesis enabled app. |
4: In what scenario would you want to use AWS Kinesis? | Kinesis is great for collecting gaming data, such as player actions - AND capturing data from IoT sensors and mobile devices. |
5: If your Kinesis stream needs additional processing power, what component will you need to add more of? | You can scale out a Kinesis stream by adding more "shards". |
6: EMR allows you to access the underlining operating system? True | 7: Which of the following is NOT a distributed framework supported by EMR? EMR is a service which deploys out EC2 instances based off the Hadoop framework, and also supports Apache Spark, HBase, Presto and Flink. |
8: In EMR, data mapped to a cluster of master/slave nodes for processing. True |
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