Directions:- Read the following passage and answer the following questions based on the given passage. Some of the words are highlighted which would help you to answer some of the questions given.
For years, world-wide organisations have become increasingly excited about the prospect of a cloud-based future. As the dream becomes an ever closer reality for many kinds of business and, Forrester predicted that enterprise spending on cloud services is set to surge. IDC also predicted that global spending on public cloud services and infrastructure would reach $210bn in 2019, an increase of 24% from 2018. But one obstacle stands create friction and introduce risk: the process of migration.
 As all indications point to a massive shift in data deployments to the cloud, it is more important than ever that the transition from on-premises to Cloud is as risk free as possible. In today's climate any loss or disruption to data can have a huge business impact. It’s a complex process, is frequently underestimated and many organisations have found there’s lots that can go wrong that can impact the business. Organisations across the globe have found the cloud to be an ideal place to run modern data applications due to big data’s elastic resource requirements. Furthermore, with the lack of data talent an ever-looming issue for most companies today they have been determined to adopt a cloud-first strategy to ensure business operations are accessible for a range of employees.
 The cloud offers great promise for developers especially, as it can increase the speed at which they develop software features and increase the resilience of applications once they are deployed - along with enhanced security through the use of multiple server locations. With all this considered, it is no surprise that 42% of UK businesses leverage some kind of cloud service, according to Eurostat.
 However, all the perceived benefits of leveraging the cloud are redundant if organisations come up against barriers to accessing cloud services. Cloud-based data pipelines still suffer from complexity challenges at the moment, along with the lack of visibility into cost and resource usage at the application and user level. The answer to this is automation fueled by robust Machine learning training models and artificial intelligence. These concepts and the tools that enable them can determine the prerequisites of cloud infrastructure, application dependencies,the appropriate target cloud instance profiles, and provide troubleshooting in real-time
 To summarise, the promise of the cloud has created a sense of excitement amongst enterprises, however, they have proceeded to go full steam ahead into adopting a cloud service, without sufficient data to ensure performance service level agreements (SLAs).

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