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