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NEW QUESTION: 1
In the execution of a MapReduce job, where does the mapper place the intermediate data in each map task?
A. The mapper transfer the intermediate data immediately to the reducers as it is generated by map task.
B. The mapper stores the intermediate data on the underlying filesystem of the local disk of the machine which ran the map task
C. The hadoop framework holds the intermediate data in the task trackers memory until it is transferred to the reducers
D. The mapper transfers the intermediate data to the jobtracker, which then sends it to the reducers
Answer: B
Explanation:
mapreduce.cluster.local.dir The local directory where MapReduce stores intermediate data files. May be a comma-separated list of directories on different devices in order to spread disk i/o. Directories that do not exist are ignored.

NEW QUESTION: 2

A. Option D
B. Option C
C. Option B
D. Option A
Answer: B

NEW QUESTION: 3
You have a periodic image analysis application that gets some files in input, analyzes them and tor each file writes some data in output to a ten file the number of files in input per day is high and concentrated in a few hours of the day.
Currently you have a server on EC2 with a large EBS volume that hosts the input data and the results. It takes almost 20 hours per day to complete the process.
What services could be used to reduce the elaboration time and improve the availability of the solution?
A. EBS with Provisioned IOPS (PIOPS) to store I/O files. SNS to distribute elaboration commands to a group of hosts working in parallel Auto Scaling to dynamically size the group of hosts depending on the number of SNS notifications
B. EBS with Provisioned IOPS (PIOPS) to store I/O files SQS to distribute elaboration commands to a group of hosts working in parallel Auto Scaling to dynamically size the group of hosts depending on the length of the SQS queue.
C. S3 to store I/O files, SNS to distribute evaporation commands to a group of hosts working in parallel.
Auto scaling to dynamically size the group of hosts depending on the number of SNS notifications
D. S3 to store I/O files. SQS to distribute elaboration commands to a group of hosts working in parallel.
Auto scaling to dynamically size the group of hosts depending on the length of the SQS queue
Answer: B
Explanation:
Explanation
Amazon EBS allows you to create storage volumes and attach them to Amazon EC2 instances. Once attached, you can create a file system on top of these volumes, run a database, or use them in any other way you would use a block device. Amazon EBS volumes are placed in a specific Availability Zone, where they are automatically replicated to protect you from the failure of a single component.
Amazon EBS provides three volume types: General Purpose (SSD), Provisioned IOPS (SSD), and Magnetic.
The three volume types differ in performance characteristics and cost, so you can choose the right storage performance and price for the needs of your applications. All EBS volume types offer the same durable snapshot capabilities and are designed for 99.999% availability.

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