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