Does the EMR Hadoop input connector for Kinesis enable continuous stream processing?
Answer(s): C
The Hadoop MapReduce framework is a batch processing system. As such, it does not support continuous queries. However, there is an emerging set of Hadoop ecosystem frameworks like Twitter Storm and Spark Streaming that enable developers to build applications for continuous stream processing. A Storm connector for Kinesis is available on GitHub here and you can find a tutorial explaining how to setup Spark Streaming on EMR and run continuous queries here.Additionally, developers can utilize the Kinesis client library to develop real-time stream processing applications.
https://aws.amazon.com/elasticmapreduce/faqs/
In AWS Data Pipeline, what precondition in a pipeline component containing conditional statements must be true before an activity can run? (choose three)
Answer(s): A,D
The following conditional statements must be true before an AWS Data Pipeline activity will run. Check whether source data is present before a pipeline activity attempts to copy it.Check whether a database table exists. Check whether an Amazon S3 key is present.
http://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-managingpipeline. html
What are supported ways you can use Task Runner to process your AWS Data pipeline? (choose three)
Answer(s): A,B,D
Task Runner enables two use cases. Enable AWS Data Pipeline to install Task Runner for you on resources that are launched and managed by the AWS Data Pipeline web service. install Task Runner on a computational resource that you manage, such as a long-running EC2 instance or an on-premise server.
In AWS Data Pipeline data nodes are used for (choose two)
Answer(s): A,B
In AWS Data Pipeline data nodes are used for Accessing data from the source, Loading data to the target
http://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-conceptsdatanodes. html
Which statements are true for user-managed preconditions in AWS Data Pipeline? (choose three)
Answer(s): A,B,C
AWS Data Pipeline supports two types of preconditions. System-managed preconditions and usermanaged preconditions.System-managed preconditions are run by the AWS Data Pipeline web service on your behalf do not require a computational resource.User Managed preconditions only run on the computational resource that you have specified. You can create, access and manage your pipelines using the AWS Management Console.You can create, access and manage your pipelines use the AWS Command Line Interface. Reference:http://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-managingpipeline. html
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