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NEW QUESTION: 1
What actions together let organization shift from "keeping the lights on" to revenue-generating activities?
A. Modernizing and Automating
B. Transforming and Automating
C. Transforming and Strategizing
D. Strategizing and Modernizing
Answer: D

NEW QUESTION: 2
What are three components of a Cisco UCS blade server system? (Choose three.)
A. Cisco UCS B-Series chassis
B. Cisco UCS B-Series server
C. Cisco UCS C-Series server
D. Cisco Nexus 5548UP Switch
E. Cisco UCS Fabric Interconnect
F. Cisco UCS C-Series chassis
Answer: A,B,E

NEW QUESTION: 3
With Amazon Elastic MapReduce (Amazon EMR) you can analyze and process vast amounts of data.
The cluster is managed using an open-source framework called Hadoop.
You have set up an application to run Hadoop jobs. The application reads data from DynamoDB and
generates a temporary file of 100 TBs.
The whole process runs for 30 minutes and the output of the job is stored to S3. Which of the below
mentioned options is the most cost effective solution in this case?
A. Use Spot Instances to run Hadoop jobs and configure them with ephermal storage for output file
storage.
B. Use an on demand instance to run Hadoop jobs and configure them with ephemeral storage for output
file storage.
C. Use an on demand instance to run Hadoop jobs and configure them with EBS volumes for persistent
storage.
D. Use Spot Instances to run Hadoop jobs and configure them with EBS volumes for persistent data
storage.
Answer: A
Explanation:
AWS EC2 Spot Instances allow the user to quote his own price for the EC2 computing capacity. The user
can simply bid on the spare Amazon EC2 instances and run them whenever his bid exceeds the current
Spot Price. The Spot Instance pricing model complements the On-Demand and Reserved Instance
pricing models, providing potentially the most cost-effective option for obtaining compute capacity,
depending on the application. The only challenge with a Spot Instance is data persistence as the instance
can be terminated whenever the spot price exceeds the bid price.
In the current scenario a Hadoop job is a temporary job and does not run for a longer period. It fetches
data from a persistent DynamoDB. Thus, even if the instance gets terminated there will be no data loss
and the job can be re-run. As the output files are large temporary files, it will be useful to store data on
ephermal storage for cost savings.
Reference: http://aws.amazon.com/ec2/purchasing-options/spot-instances/