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A) Offering pre-configured tools, scalable resources, and managed services B) Increasing upfront capital expenditures C) Reducing collaboration opportunities D) Providing physical infrastructure
A) By shifting to an operational expenditure model B) By requiring significant in-house expertise C) By increasing physical infrastructure costs D) By eliminating the need for managed services
A) Physical hardware management B) Artificial intelligence, data analytics, and machine learning C) Infrastructure maintenance D) Local server management
A) Unused resources, inefficient configurations, and hidden costs B) Increased in-house expertise C) Decreased need for governance D) Reduced operational expenditures
A) Local cost management software B) In-house financial tools C) AWS Cost Explorer and Azure Cost Management D) Physical infrastructure tools
A) A redundancy configuration strategy B) A physical infrastructure management tool C) A framework to standardize financial operations in the cloud D) A cloud service model
A) By enabling secure access to data and applications from any location B) By requiring physical presence C) By reducing internet connectivity D) By limiting access to specific locations
A) Various redundancy options like managed storage and databases B) No managed services C) Only physical hardware redundancy D) No redundancy options
A) Automatic setup with no costs B) No configuration C) Explicit configuration and may incur additional costs D) No additional costs
A) Customers handle all security B) No shared responsibilities C) Providers manage all aspects D) Providers handle infrastructure security, while customers manage data encryption and IAM
A) The cloud provider B) Third-party security firms C) The customer D) No one
A) Platform as a Service (PaaS) B) Software as a Service (SaaS) C) None of the above D) Infrastructure as a Service (IaaS)
A) Scalability B) Cost C) Control D) Security
A) Amazon Web Services (AWS) B) The National Institute of Standards and Technology (NIST) C) The International Organization for Standardization (ISO) D) General Magic
A) 1996 B) 2002 C) 2011 D) 2010
A) On-demand self-service B) Broad network access C) Rapid elasticity D) Resource pooling
A) On-demand self-service B) Resource pooling C) Rapid elasticity D) Broad network access
A) 1996 B) 1994 C) 1960s D) 2002
A) General Magic B) Amazon Web Services (AWS) C) Compaq Computer Corporation D) David Hoffman
A) 1996 B) 2002 C) 1994 D) 2010
A) IBM B) Microsoft C) Rackspace Hosting D) Amazon
A) Amazon B) IBM C) Microsoft D) Rackspace Hosting
A) OpenStack B) Microsoft Azure C) Oracle Cloud D) AWS Outposts
A) 2012 B) 2011 C) 2019 D) 2010
A) Brand reputation B) Regulatory constraints C) Scalability D) Cost structure
A) Healthcare B) Defense C) E-commerce D) Retail
A) Workloads needing global accessibility B) Highly predictable workloads C) Variable workloads D) Workloads requiring rapid scalability
A) Ultra-low latency requirements B) Regulatory compliance C) Cost savings D) Ease of integration
A) Increased hardware costs B) Reduced data sovereignty C) Limited scalability D) Global accessibility
A) Need for rapid scalability B) Focus on global accessibility C) Reliance on legacy systems D) Preference for pay-as-you-go models
A) Desire for rapid scalability B) Focus on global accessibility C) Strict regulatory constraints D) Preference for pay-as-you-go models
A) E-commerce platforms B) High-frequency trading firms C) SaaS companies D) Startups
A) Limited scalability B) Reduced data sovereignty C) Enhanced resilience D) Increased hardware costs
A) Approximately 30% B) Approximately 50% C) Approximately 40% D) Approximately 70%
A) 20% B) 15% C) 25% D) 10%
A) 60% B) 80% C) 50% D) 69%
A) 40% B) 50% C) 75% D) 65%
A) Fallacies of cloud computing B) Fallacies of distributed computing C) Fallacies of centralized computing D) Fallacies of virtual computing
A) Security breaches B) Network issues C) Planned maintenance D) Unplanned maintenance
A) 25% B) 15% C) 45% D) 35%
A) Hyperjacking B) Phishing C) Man-in-the-middle attack D) Trojan horse injection
A) Hidden abstractions B) Leaky abstractions C) Transparent abstractions D) Opaque abstractions
A) Cross-site scripting attacks B) Malware attacks C) SQL injection attacks D) Denial of service attacks
A) Section 702 B) Section 215 C) Section 505 D) Section 101
A) Michael Johnson B) Laura K. Donohue C) John Smith D) Jane Doe
A) Lack of data protection laws B) Inability to store data in Europe C) Requirement to use U.S. servers only D) Competing legal obligations
A) The Internet or carrier clouds B) Only carrier clouds C) Only the Internet D) Local area networks
A) Annual contract B) Utility computing basis C) Cost reflects resources consumed D) On-demand resource allocation
A) A third-party service provider. B) The customer. C) The application developer directly. D) The PaaS provider.
A) Office Online is integrated with iCloud. B) Office Online is integrated with Dropbox. C) Google Docs is integrated with Google Drive. D) Google Docs is integrated with OneDrive.
A) US$6 trillion B) US$1.2 trillion C) US$1.03 trillion D) US$3.59 trillion
A) Grid computing B) Utility computing C) Autonomic computing D) Virtualization
A) Fog computing B) Client–server model C) Computer bureau D) Grid computing |