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EMR clusters can be launched from the AWS console or via the AWS CLI with a specific number of nodes.

EMR uses EC2 instances in the background and runs in one availability zone in a VPC.

AWS Batch is a not a good fit for use cases where a longer processing time is required or more computation resources are needed.

The EMR master node acts as a Hadoop namenode and manages the cluster and its health.

Which of the following is false?

A hospital cardiac department a large patient base with a large number of IoT devices sending data to AWS to be consumed by a large number of mobile devices, which of the following should you choose?

A deep-sea diving company has a requirement to decouple a high-volume application, which of the following AWS services should you choose?

A news broadcasting company needs to change to improve the performance of a Kinesis stream?

A bank is moving to the cloud but would like employees to securely access data on premises too. Which of the following ensures data integrity?

A large farm equipment manufacturer wants to access data from a tape drive that was created 20 years ago; which storage gateway mode can replace a tape drive with S3 storage?

Users on premises must be able to access cloud resources; which storage gateway mode can be used to present storage over SMB to clients?

A stock trading company generates a large number of reports at the end of the month and noticed that reports take a long time to render. Which AWS storage gateway mode is ideal for decreasing the time it takes to render such report?

A large corporation has branches with data on Windows 2008 servers. Which AWS storage product is best for accessing for Windows file system environments?

A large analytical firm uses EMR for machine learning, deep learning, bioinformatics, financial and scientific stimulation. Employees are interested in the operation of EMR and would like to know which node within an EMR cluster handles operations?

A large analytical firm which uses EMR would like to lower the cost of operation and want to know which nodes in an EMR cluster are good for spot instances?

A marketing company would like to extract the IP address from the feed records and identify the location that the user is coming from. Can Kinesis Firehose support this data transformation using Lambda?

You are working as a data scientist for a marketing company. At the moment, you are building a machine learning model to predict churn. One of the features that you are using on your model is annual salary. Due to the nature of this variable, you suspect that a log transformation would be beneficial to bring this feature closer to a normal distribution. Which of the following charts would support you to prove that, indeed, a log transformation is a good idea for this feature?

Hadoop Distributed File System (HDFS) is a block-structured, distributed filesystem that is designed to run on a low-cost commodity hardware.

HDFS architecture consists mainly of a centralized DataNode that handles the filesystem metadata and NameNodes that store the real data blocks.

HDFS supports storing massive amounts of data and provides high-throughput access to the data.

HDFS stores file data across multiple nodes with redundancy to ensure fault-tolerance and high aggregate bandwidth.

Select the two (2) incorrect statements below?

Which of the following are not benefits of the serverless model? (Select any 2)

You have an on-premises persistent Hadoop cluster, where houses a large number Hive SQL jobs and a few Spark ETL jobs. This cluster serves multiple data science teams who are actively engaged in interactive analytics. You are assigned the job to plan for AWS cloud migration. Which AWS service is best suited for you?

Your team received a JSON file would like to flatten it and apply a few standardizations for a machine learning model prediction. This process must be repeated daily so that the machine learning prediction can predict the output for the next day. Which AWS service will you use?

A data mining company has a requirement to build a real-time streaming application, which has to be integrated into a scalable message bus and Spark Streaming consumer application. They are looking for a managed messaging service that can scale as the number of streaming events increase or decrease. What will you recommend?

A real-estate company has terabyte-scale data available in Amazon S3 and their data analysts are looking for a query engine using which they can interactively query the data using SQL. There is a persistent EMR cluster in place which is being used for multiple ETL workloads. To save costs they are looking for an application within EMR that can provide the interactive query engine needed. Which big data application in EMR best fits your need?

A stock trading company has several on-premises Hadoop workloads which are subject to sensitive customer SLAs. The organization has decided to move all workloads to AWS. Which migration strategy is recommended for this use case?

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Building Batch Data Analytics Solutions on AWS

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Building Batch Data Analytics Solutions on AWS

Test Your Skills

1.Which of the following is false?

2.A hospital cardiac department a large patient base with a large number of IoT devices sending data to AWS to be consumed by a large number of mobile devices, which of the following should you choose?

3.A deep-sea diving company has a requirement to decouple a high-volume application, which of the following AWS services should you choose?