Deployment Environments DY0-001 Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   A large enterprise is required by industry regulations to maintain an auditable trail of all data access. They are considering moving their data analytics platform to the cloud. The compliance team is concerned about losing visibility and control over the infrastructure. Which cloud deployment model would best address the compliance team's concern while still providing cloud benefits?

   • APublic cloud, because the provider is responsible for all security and compliance.
   • BCommunity cloud, because it is shared by several organizations with similar compliance needs.
   • CPrivate cloud, because it offers dedicated infrastructure and greater control over security and compliance.
   • DHybrid cloud, because it allows them to keep all data on-premises.
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2. 12expert · hard

   A company runs a critical data processing job that takes exactly 12 hours to complete. The job is memory-intensive and cannot be interrupted. They are evaluating deployment options: (1) a serverless function in the public cloud, (2) a containerized application on a managed Kubernetes cluster, and (3) a dedicated virtual machine in the public cloud. The company's main constraint is that the job must run to completion without being terminated. Which option is the most reliable choice?

   • AServerless function, because it scales automatically and requires no infrastructure management.
   • BContainerized application on a managed Kubernetes cluster, because it can handle long-running jobs.
   • CDedicated virtual machine, because it can run for as long as needed without a built-in time limit.
   • DAll options are equally reliable for a 12-hour job.
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4. 13foundation · easy

   Compared to on-premises deployment, what is a key advantage of public cloud deployment?

   • AIt provides greater control over physical security.
   • BIt guarantees lower costs for all workloads.
   • CIt eliminates the need for internet connectivity.
   • DIt allows for rapid scaling of resources without purchasing new hardware.
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5. 14application · medium

   A government research lab handles classified data that is subject to a legal mandate that it cannot be processed by any third-party infrastructure. The lab's data processing needs are stable and predictable, with no significant seasonal spikes. The lab has a dedicated IT team to manage infrastructure. Which deployment environment is the most appropriate choice for this workload?

   • AEdge computing devices located at the data collection points.
   • BPublic cloud with a private, dedicated physical server (single-tenant) option.
   • COn-premises data center owned and operated by the lab.
   • DHybrid cloud, using the public cloud for compute and the on-premises data center for storage.
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6. 15application · medium

   A retail chain wants to offer a personalized in-store shopping experience by analyzing customer foot traffic and purchase history in real-time to send targeted promotions to customers' phones. The analysis must happen in milliseconds to be relevant. The chain has a central cloud for historical data and analytics. Where should the real-time personalization logic be deployed?

   • AIn a hybrid cloud, with the real-time logic in a private cloud and the historical data in a public cloud.
   • BIn the central cloud, because it has the most compute power for complex analytics.
   • COn edge devices or gateways located at each store, using a local model that is periodically updated from the central cloud.
   • DOn the customers' phones, using a mobile app that runs the analytics locally.
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