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NEW QUESTION: 1
In Open stack, region is more like a geographical concept, each region has its own independent endpoint, regions Completely isolated between, but The same () and dashboard are shared among multiple regions.
A. Keystone
B. swift
C. Glance
D. Nova
Answer: A

NEW QUESTION: 2
DRAG DROP





Answer:
Explanation:

Explanation:

References: https://docs.microsoft.com/en-us/azure/virtual-network/virtual-networks-faq

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 Spot Instances to run Hadoop jobs and configure them with EBS volumes for persistent data
storage.
C. Use an on demand instance to run Hadoop jobs and configure them with ephemeral storage for output
file storage.
D. Use an on demand instance to run Hadoop jobs and configure them with EBS volumes for persistent
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/

NEW QUESTION: 4
A company has two different types of reporting needs on their 200-GB data warehouse:
1 Data scientists run a small number of concurrent ad hoc SQL queries that can take several minutes each to run.
2 Display screens throughout the company run many fast SQL queries to populate dashboards.
Which design would meet these requirements with the LEAST cost?
A. Use Amazon Redshift for both requirements, with separate query queues configured in workload management.
B. Configure auto-replication between Amazon Redshift and Amazon RDS. Data scientists use Redshift.
Dashboards use RDS.
C. Use Amazon Redshift for Data Scientists. Run automated dashboard queries against Redshift and store the results in Amazon ElastiCache. Dashboards query ElastiCache.
D. Replicate relevant data between Amazon Redshift and Amazon DynamoDB. Data scientists use Redshift. Dashboards use DynamoDB.
Answer: A
Explanation:
Explanation
Redshift makes it simple and cost effective to run high performance queries on petabytes of structured data so that you can build powerful reports and dashboards using your existing business intelligence tools.
https://docs.aws.amazon.com/redshift/latest/dg/c_workload_mngmt_classification.html