M14 : Processing - EMR

Which are components of Elastic MapReduce ? (Choose all that apply)

• Master nodes

• Core nodes

• Leader nodes

• Task nodes

• S3 or HDFS

When would you use Elastic MapReduce (EMR)? (Choose all that apply)

• for analysis of structured data

• for on-demand EC2 billing

• for analysis of unstructured data

• for serverless querying

Which are true statements regarding Elastic MapReduce (EMR)? (Choose all that apply)

• EMR clusters can't be used in conjunction with Auto Scaling groups.

• It uses S3 to store data for its cluster.

• It is a customer-managed, EC2 cluster-based product.

• It is an AWS-managed, EC2 cluster-based product.

• It is an AWS product that allows the analysis of large sets of structured and unstructured data.

You have advertising campaign information stored in a DynamoDB table. You need to write queries that join clickstream data to identify the most effective categories of ads that are displayed on websites. Which tool should you use?

• Quicksight

• Kinesis data streams

• EMR

• Data Pipeline

You need to store and process data quickly in a cost-effective manner. You can move data easily from its location on disk to wherever you'd like without needing to stream the data. Also, you do not know how much data you will be handling in 6 months, and your processing needs spike intermittently. Specifically, you need to transform the data that comes in by aggregating the different disparate metrics into summary information. Which Big Data tools should you use?

• DynamoDB and Redshift

• Kinesis Data Streams and DynamoDB

• S3 and Spark on EMR

• S3 and Amazon Machine Learning

Your EMR cluster uses 12 m4.large instances and runs 24 hours per day, but it is only used for processing and reporting during business hours. Which options can you use to reduce the costs? ​

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(Choose two answers)

• Run 12 d2.8xlarge instead without turn-off.

• Use Spot instances for task nodes when needed.

• Use the ReduceMapper distribution of EMR.

• Migrate the data from HDFS to S3 using S3DistCp and turn off the cluster when not in use.

What is AWS Glue ?

• Fully managed extract, transform and load service.

• Petabyte scale cloud data warehouse

• Real time data streaming service

• None of the above

Which two ETL language frameworks does AWS Glue support ?

• Python and SQL

• SQL and NoSQL

• Python and Scala

• Javascript and SQL

Which of the following is true regarding AWS Data Pipeline?

• AWS Data Pipeline allows you to transform and process your data at scale which can used to process data from on-prem or within AWS cloud and transfer it to AWS services such as S3, RDS, DynamoDB and EMR.

• Fully managed extract, transform and load service.

• Fully managed data lake formation with enhanced security capabilities and storage model.

• A portal to make API calls from on prem to AWS cloud services.

You need to visualize data from Spark and Hive running on an EMR cluster. Which of the options is best for an interactive and collaborative notebook for data exploration?

• Hive

• D3.js

• Kinetics analytics

• Zeppelin​