While cloud services are useful for small and midsize analytic applications, they are still limited in their ability to handle B ig Data applications.1. True
1 answer:
Answer:
False
Explanation:
There are cloud applications which can effectively handle big data.
For example processing and handling big data technologies like Hadoop, Spark can be used on cloud.
Services like <em>Amazon Web Services</em> or <em>Google Cloud Services</em> allows users analyze big data with various tools.
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to send an email to someone without revealing that person’s email address to others on the distribution list
Explanation:
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Answer:
import random
a = random.randint(1,10)
b = random.randint(1,10)
answer = a * b
print (str(a) + " X " + str(b) + " = " + str(answer))
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Answer & Explanation:
Pros of cloud computing:
Cloud computing provides high speed due to faster deployment of services in fewer clicks. It eliminates the need of IT infrastructure and manageability. It is cost efficient as it provides huge space availability. It makes it easy to get backup and recovery. It is easy to access information anytime and anywhere in the world. Due to cloud computing, it is very easy to add or remove services as required. Cons of cloud computing:
It makes the data vulnerable and information theft challenges can be encountered. Internet connection is required all the time. There is less control available as it runs on remote servers. Migrating information can become difficult. It can face technical issues so the information will not be available for a limited time.
