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In which of the following service models the hardware is virtualized in the cloud?

In which of the following service models the hardware is virtualized in the cloud? Correct Answer IaaS

Infrastructure-as-a-Service (IaaS) is an acronym for Infrastructure-as-a-Service. Users of IaaS get computer resources such as software or hardware tools through the internet. In this model, the service vendor owns the equipment: servers, storage, network infrastructure, and so forth.

Related Questions

_________ is a cloud computing service model in which hardware is virtualized in the cloud.
Below are the two ensemble models: 1. E1(M1, M2, M3) and 2. E2(M4, M5, M6) Above, Mx is the individual base models. Which of the following are more likely to choose if following conditions for E1 and E2 are given? E1: Individual Models accuracies are high but models are of the same type or in another term less diverse E2: Individual Models accuracies are high but they are of different types in another term high diverse in nature
Out of 60 customers, 10 chose service 1 and 2, 15 chose service 2 and 3 and 5 chose service 1 and 3, 15 chose only service 2. 20 chose service 1, 35 chose service 2, and 30 chose service 3.  How many chose all the three services?
Regarding bias and variance, which of the following statements are true? (Here 'high' and 'low' are relative to the ideal model.
i. Models which overfit are more likely to have high bias
ii. Models which overfit are more likely to have low bias
iii. Models which overfit are more likely to have high variance
iv. Models which overfit are more likely to have low variance
Regarding bias and variance, which of the following statements are true? (Here 'high' and 'low' are relative to the ideal model. (i) Models which overfit are more likely to have high bias (ii) Models which overfit are more likely to have low bias (iii) Models which overfit are more likely to have high variance (iv) Models which overfit are more likely to have low variance
In the following question, the 1st and the last part of the sentence/passage are numbered 1 and 6. The rest of the sentence/ passage is split into four parts and named P, Q, R and S. These four parts are not given in their proper order. Read the sentence/passage and find out which of the four combinations is correct. 1. If you are a poet, you will have no difficulty seeing the cloud floating in this sheet of paper. P. So we can say that the cloud and the paper are inter-related. Q. That explains why the cloud is essential for the paper to exist. R.  If the cloud is not here, the sheet of paper cannot be here either.  S. If there are no clouds, there will be no rain; and if there is no rain, the trees will not grow; and if there are no trees, we cannot make paper. 6.  If we look into this sheet of paper even more deeply, we can see the sunshine in it. 
In cloud computing, what type of service provides virtualized computing resoures, such as servers and storage, on a pay-as- you-go basis?
Match the following two lists in which List I highlights the description of the Purpose Related to Specific Guidance Service and List II indicates Types of Guidance Service. Choose the correct answer using the code given below.   List I   List II (a) Determines the pace of progress of former pupils on the basis of their contextual placement (i) Follow-up Service (b) Description of aspects related to a particular job for matching the individuals with the job characteristics (ii) Placement Service (c) Liking of a particular job by a person which is visible through gestures etc. while going to the work place (iii) Job Analysis (d) Aims at providing assistance to students in deciding educational and vocational stream (iv) Job Satisfaction     (v) Counselling     (vi)  Occupational Information Service
Which of the following cloud storage involves the provisioning of a raw virtualized disk?
Suppose, you want to apply a stepwise forward selection method for choosing the best models for an ensemble model. Which of the following is the correct order of the steps? Note: You have more than 1000 models predictions.
1. Add the models predictions (or in another term take the average) one by one in the ensemble which improves the metrics in the validation set.
2. Start with empty ensemble
3. Return the ensemble from the nested set of ensembles that has maximum performance on the validation set