Techopedia Q&A
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What is peer-to-peer content distribution?
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What are the main characteristics that tie BI and AI together?
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Why aren’t more people choosing cybersecurity as a career?
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What is bi-directional activity in relation to neurotechnology?
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What are some significant challenges companies are facing when it comes to management reporting?
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What are the current and future AWS adoption trends to pay attention to?
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How are top enterprises effectively applying IoT to their BI strategies?
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Can there ever be too much data in big data?
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What is TensorFlow’s role in machine learning?
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How do machine learning professionals use structured prediction?
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Why is a confusion matrix useful in machine learning?
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What does 5G technology mean for AI?
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How is a finite state machine used in artificial intelligence?
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Why is it important for data scientists to seek transparency?
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Why is so much of machine learning behind the scenes - out of sight of the common user?
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Why is Python so popular in machine learning?
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What is 'precision and recall' in machine learning?
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What are some of the biggest challenges with legacy migration?
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Why are GPUs important for deep learning?
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Why would companies invest in decision automation?
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What is connective intelligence? What does it do? What role will it play in Web 3.0?
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Who invented augmented reality?
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How will Web 3.0 connect data better?
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What’s a simple way to describe bias and variance in machine learning?
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How has cyber threat intelligence evolved over the last few years and where is it headed?
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What are some of the main benefits of ensemble learning?
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What does a threat intelligence analyst do?
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Are there any potential downsides of Web 3.0? If so, what are they?
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What are the key benefits of threat hunting?
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Will machine learning make doctors obsolete?
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Could genetics explain the gender gap between men and women in tech?
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What are the four foundations of becoming a good data scientist?
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What are some key mistakes companies tend to make when it comes to implementing and using big data analytics?
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What's the difference between machine learning and data mining?
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What are some key things to know about corporate data backup?
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How will Web 3.0 change the internet?
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How is data analytics being used in the telecom industry?
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Why is the idea of technology addiction nothing but a vastly exaggerated problem?
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What skills are required get a job in data analytics?
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How does a weighted or probabalistic approach help AI to move beyond a purely rules-based or deterministic approach?
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How can I secure the devices in my company without degrading the UX?
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Why is data visualization useful for machine learning algorithms?
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What role will blockchain play in Web 3.0?
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Can turning on multifactor authentication boost my security hygiene?
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How did Steve Jobs get his first tech job?
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What are some of the foundational ways that career pros stand out in machine learning?
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What are the security risks associated with endpoint management?
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What are some of the dangers of using machine learning impulsively?
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Why is endpoint management vital to an effective security strategy?
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How is AI technology going to affect the workplace in the near future?
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Why are some companies contemplating adding 'human feedback controls' to modern AI systems?
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What's the difference between augmented reality and virtual reality?
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What does 'connectionism' mean for business AI?
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What are some advantages of multi-cloud deployments?
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What are some of the potential drawbacks to the gender imbalance in data science?
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What are some of the advantages and disadvantages of embedded analytics?
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What are some of the resources available to women looking to get into a career in data science?
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What is a CX platform and how are companies using the analytics from these platforms?
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What components make up an IT infrastructure, and how do they work together?
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With more big data solutions moving to the cloud, how will that impact network performance and security?
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How can data analytics help smaller companies compete with bigger competitors?
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How can data analytics help companies build stronger branding strategies?
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What benefit can real-time data provide that data at rest can't?
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What does a data management platform do?
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What's better, a platform or a bring-your-own machine learning algorithm on AWS?
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How are data management and data analytics related?
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What are network management services and how does the use of analytics here contribute to better IT management?
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What are some of the key ways in which AI can handle data better than humans?
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What is the difference between deep learning and machine learning?
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What are some common misconceptions about data center infrastructure and how do they impact the business?
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What kinds of business problems can machine learning handle?
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How can small businesses integrate machine learning into their processes ... or should they even do so?
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What is intelligent cloud and what factors are driving its growth?
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What are some of the key concerns about the use of big data in health care and how can they be mitigated?
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What are some of the key pitfalls of big data contracts and how can companies avoid them?
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What should companies consider before starting to use big data as part of their BI strategy?
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What are some key ways to automate and optimize data science processes?
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What are some of the key challenges of big data when it comes to digital forensics?
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What are some of the key privacy concerns around the use of big data?
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What are some of the biggest innovations happening in the big data space?
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What are some of the key issues to consider in a big data storage strategy?
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What are some of they key things that cause big data projects to fail?
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What process should a company go through to determine whether big data is a fit for their goals?
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What is server sprawl and what can I do about it?
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How does software-defined networking differ from virtual networking?
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What is the difference between cloud computing and web hosting?
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How can cloud computing save money?
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Why run ML training on a local machine and then run regular execution on a server?
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How are chatbots trained?
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How can containerization be a good choice for a machine learning project environment?
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How does AI interact with robotics?
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Can AI detect your sexual or political orientation by looking at your pics?
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Are self-driving cars safer than cars driven by humans?
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How is virtual reality going to improve senior care?
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How is machine learning used in anti-malware applications?
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Is AI going to replace computer programmers anytime soon?
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How does artificial intelligence compare to man-computer symbiosis?
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Is artificial intelligence a tool or a threat to cybersecurity?
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Why is telecom expense management (TEM) important in health care?
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Why are some people worried about artificial intelligence?
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Can AI help in the battle against fake news?
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How is artificial intelligence used in video games?
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Could AI provide us with tastier food than human cooks?
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Can an AI chatbot really pass for a person?
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Why are artificial recurrent neural networks often hard to train?
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What is the difference between SCSI and SATA?
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What is the 'AI winter' and how did it affect AI research?
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What's behind the big 'quantum rush'?
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How is data measured?
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How can machine learning help to observe biological neurons - and why is this a confusing type of AI?
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What are some ethical issues regarding machine learning?
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How do the Chrome Store's malicious ad blockers show the duplicity that end users face in cybersecurity?
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What is the difference between WEP and WPA?
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What are some key ways that the IoT is affecting health care?
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Why do security professionals consider bitcoin and cryptocurrency mining a potential for 'parasitic' hacker activity?
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How does NeuroEvolution of Augmenting Topologies contribute to genetic machine learning?
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Which medical professions can ethically be replaced with AI?
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How is AI affecting the military market?
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What is the difference between supervised, unsupervised and semi-supervised learning?
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How does Saudi Arabia's Sophia robot raise frightening new cybersecurity questions?
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Why is data annotation important in some machine learning projects?
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How does max pooling help make AlexNet a great technology for image processing?
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What is the difference between IPv4 and IPv6?
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How can new MIT chips help with neural networks?
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How is machine learning affecting genetic testing?
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How might machine learning tools evaluating emotion help with call center problems?
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Will machine learning advances spur cross-platform data set deployment?
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How is artificial intelligence enabling brain boost to enhance memory with electrical brain stimulation?
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What are the five schools of machine learning?
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Why are machine learning rational agents so important to retail applications?
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How is the master algorithm changing the machine learning world?
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Why are machine learning experts talking about Xavier initialization?
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Why do AI engineers have to worry about intuitive engines?
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How can AI revolutionize consumer markets through automated search?
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How do chatbots deal with accents?
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Why are some experts saying that AI will 'destroy digital authenticity'?
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Why are deep learning, machine learning and AI so important in telemedicine and other types of medical services?
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What is the difference between speech to text and chatbots?
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Why is DARPA researching 'explainable AI'?
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How does dynamic allocation in the cloud save companies money?
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Why might some machine learning projects require enormous numbers of actors?
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How can engineers evaluate training sets and test sets to spot possible overfitting in machine learning?
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Why are companies sourcing GPUs for machine learning?
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Why should companies be considering intent-based networking?
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What does "mobile compatible" mean?
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Why might companies invest in "character AI"?
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Why is semi-supervised learning a helpful model for machine learning?
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What is the difference between a mobile hotspot and tethering?
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Why does 'bagging' in machine learning decrease variance?
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How can the Chinese restaurant process and other similar machine learning models apply to enterprise AI?
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How can a local area network (LAN) be secured?
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How can new machine learning capabilities enable the mining of stock documents for financial data?
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How do deep stubborn networks play a role in AI evolution?
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Why is feature selection so important in machine learning?
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How can engineers use gradient boosting to enhance machine learning systems?
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How can a 'random walk' be helpful in machine learning algorithms?
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What is the difference between a virtual machine and a container?
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Why are people talking about the 'tipping point' for machine learning?
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Why is TensorFlow so popular for machine learning systems?
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What does big data mean for official statistics?
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How can a convolutional neural network enhance CRM?
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What are some ways that machine learning systems can be helpful for human resources?
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How does network scanning work?
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How can machine learning work from evident inefficiencies to introduce new efficiencies for business?
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Why is consumer ML/AI technology so "disembodied" compared to industrial mechanical/robotics projects?
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How has data scraping for machine learning become the most labor-intensive bottleneck since manual data entry in legacy migration?
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Why are huge numbers of image files important to many machine learning projects?
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How might the concept of equilibrium inform machine learning projects?
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How does Amazon Web Services (AWS) facilitate AI opportunities for clients?
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Why is bias versus variance important for machine learning?
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What is the difference between little endian and big endian data formats?
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How does Occam's razor apply to machine learning?
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Why is the "information bottleneck" an important theory in deep learning?
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What is the difference between a private cloud and a virtualized data center?
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How is network mapping different than network monitoring?
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How can learning agents "learn to use the web"?
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How are companies trying to add a speedometer to artificial intelligence work?
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Why is patch management so important in cybersecurity?
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Why are companies paying so much for AI professionals?
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How do administrators find bandwidth hogs?
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How might businesses use the AI potential of real-time data systems like SAP HANA?
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What is the difference between a network switch and a network router?
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Why is it important to manage a relational database system in the cloud?
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How did Moore's law contribute to the current AI revolution?
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What is the difference between scale-out versus scale-up (architecture, applications, etc.)?
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How can neural networks affect market segmentation?
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How can businesses innovate in managing data center bandwidth?
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What are some important aspects of file integrity monitoring?
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How do admins use server monitoring to evaluate network performance?
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Why is multi-factor authentication an important component of cybersecurity?
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Why is machine bias a problem in machine learning?
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What’s the difference between SEM, SIM and SIEM?
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How are logic gates precursors to AI and building blocks for neural networks?
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How can machine learning and AI help move companies from a perimeter approach to cybersecurity?
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More isn’t always better. How can organizations reduce the noise in their data to achieve targeted, accurate analytics?
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Can the same machine learning tools work for both retail and manufacturing businesses?
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How can machine learning help with maintenance, repair and overhaul (MRO) processes?
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What do network admins accomplish with a bandwidth analyzer or bandwidth monitor?
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How might companies use random forest models for predictions?
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How is an induction algorithm used in machine learning?
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What does "layered security" really mean?
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How might companies use Apache Mahout for machine learning?
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What are some factors that contribute to AI "drift"?
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How is SIEM different from general event log management and monitoring?
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Why might a company shut down a chatbot AI project?
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Why might companies use Amazon Machine Learning and related tools?
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How is bandwidth monitoring different from other types of network monitoring?
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Why is scalable machine learning important?
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What are some best practices for cloud encryption?
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Why do systems benefit from event log monitoring?
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Is big data a one-size-fits-all solution?
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What's the difference between a CPU and a GPU?
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What's the difference between a host name, a domain name and a fully qualified domain name (FDQN)?
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How does visibility help with the uncertainty of handing data to a cloud provider?
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How can companies maintain application availability standards?
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What is the difference between cloud computing and virtualization?
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Why do cloud providers seek FEDRamp certification?
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What’s the difference between artificial intelligence, machine learning and deep learning?
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How might a team make an app "cloud-ready"?
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Why does loosely coupled architecture help to scale some types of systems?
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How might companies deal with hardware dependencies while moving toward a virtualization model?
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Why does virtualization speed up server deployment?
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What is the virtualization "backlash" and why is it important?
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Why could a "resource hog" make virtualization difficult?
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How might a company utilize a virtualization resource summary?
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Why do undersized VMs lead to latency and other problems?
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What are some of the positives of a demand-driven migration model?
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Why should cloud services offer both elasticity and scalability?
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What are some of the values of real-time hybrid cloud monitoring?
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Why might a company assess right-sizing on-premises versus in the cloud?
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How can companies deal with “dynamic unpredictability?”
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What performance issues do users face due to wireless interference problems in an enterprise setting?
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What kinds of devices can interfere with wireless signals?
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How do you mitigate wireless interference sources in an enterprise network?
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What are some basic ideas for optimizing hybrid cloud?
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Why do some companies choose Azure or AWS over open-source technologies like OpenStack?
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What are some advantages and drawbacks of stateless applications?
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Why is it important to look at the "full stack" in virtualization?
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How does automation help individual system operators?
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How can security be both a project and process?
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How do companies develop a "data center BMI"?
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How can companies tally up cloud costs for multi-cloud or complex cloud systems?
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How can IT security be measured?
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Why is a good HTML5 interface important for a business project?
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How do companies work toward composable infrastructure?
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How can you securely delete files?
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How can a manager use a workload chart?
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What can virtual machine use cases tell companies about systems?
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How can companies work to achieve a desired state?
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How can companies cultivate a better approach to “object-based” network changes?
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Why do naming conventions for virtual machines help with IT organization?
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What are some common challenges in decommissioning applications?
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Why is reserve capacity important in systems?
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What are some values of cloud-native architecture?
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Why is it important to match uptime to infrastructure?
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What's commonly involved in site reliability engineering?
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What are some important considerations for implementing PaaS?
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What are some challenges with handling an architecture's storage layers?
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What are some of the benefits of software-defined storage?
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What are some things that rightsizing virtual environments can do for a business?
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What are some benefits of continuous real-time placement of user workloads?
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How can stakeholders use the three key operations phases of autonomic hyperconvergent management?
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Why would managers suspend VMs when VDI instances are not in use?
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Why do companies choose either persistent or non-persistent VDI?
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Why would managers differentiate storage for I/O-intensive workloads?
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Why would companies assess quality of service for VMs?
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What's the utility of a cluster capacity dashboard?
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How can companies use raw device mapping?
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Why might someone use an N+1 approach for a cluster?
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Why do companies consider platform diversity to be important for cloud systems?
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What strategies are companies using to mitigate DDoS attacks?
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How do companies balance security, cost, scalability and data access for cloud services?
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How do engineers use availability zones in cloud and networking admin?
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How do companies battle application sprawl?
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What are some benefits of self-driving data centers?
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What are some concerns companies might have with a "lift and shift" cloud approach?
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What is involved in choosing the right EC2 instances for AWS?
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What are some benefits of workload abstraction?
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What are some challenges of scaling in OpenStack?
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How do companies use Kubernetes?
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What methods do companies use to improve app performance in cloud models?
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How do businesses use virtualization health charts?
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What does secured with WEP mean?
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How can you securely erase an SSD?
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How can passwords be stored securely in a database?
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Why is learning assembly language still important?
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What are the benefits of cloud-in-a-box deployments?
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What are some of the factors that prevent companies from fully adopting the cloud?
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Will converged, hyper-converged and super-converged systems lead to the demise of stand-alone servers?
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What are some of the benefits of private cloud?
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What are the compliance limitations of public cloud?
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How do firms collect data "at the edge" of a network?
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What makes application performance monitoring important?
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What is the difference between convergence, hyperconvergence and superconvergence in cloud computing?
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What are some of the business limitations of the public cloud?
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What is the difference between deploying containers inside a VM vs directly on bare metal?
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What are the benefits of converged infrastructure in cloud computing?
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Why should businesses secure an Active Directory?
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Why is it important to have change management tools in place for enterprise systems?
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How do companies maximize uptime?
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How do companies manage database changes?
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How is a private cloud platform different from a public cloud platform?
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What is tunneling as it applies to a virtual network?
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How do containers differ from virtual machines?
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What problems do query plan monitoring techniques fix?
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Why should managers guard against database redundancy?
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How do professionals use visual query building tools?
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How do companies create a business-driven data architecture?
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What are some core principles of data governance?
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What does a SQL compliance manager do?
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How did people interact with computers before monitors were commonplace?
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What does defragmentation do for SQL systems?
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How does predictive alerting work?
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How do engineers monitor SQL queries?
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What does a central DBMS interface do?
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How do companies create a server inventory?
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What is the difference between C and C++?
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What are the biggest uses of SQL today?
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What kind of maintenance is required for an IT infrastructure?
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What is the difference between alpha testing and beta testing?
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How is IT infrastructure different from network infrastructure?
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How is Office 365 different from other versions of Microsoft Office?
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What is a virtual local area network (VLAN) and why would I use one?
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What is the difference between a composite key, primary key and foreign key?
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How is application software different from system software?
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What is the difference between security architecture and security design?
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How can I secure my Facebook account?
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What does secure browsing mean?
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How can a hard drive be erased securely?
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How does SQL monitoring work as part of general server monitoring?
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How does LAN monitoring differ from larger network monitoring?
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What is the appeal of NoSQL databases and what pushes companies to move toward implementing them?
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What does partitioning mean in regards to a database?
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What circumstances led to the rise of the big data ecosystem?
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What is the difference between a NoSQL database and a traditional database management system?
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How can existing data warehouse environments best scale to meet the needs of big data analytics?
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What considerations are most important when deciding which big data solutions to implement?
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How can an enterprise achieve analytic agility with big data?
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How has big data affected the traditional analytic workflow?
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How can mobile phones be recycled?
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What does the mobile network state mean?
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What is the difference between mobile and wireless?
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What is the difference between mobile communication and mobile computing?
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What is the difference between mobile data and Wi-Fi?
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What is the difference between big data and Hadoop?
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How can I learn big data analytics?
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What is the difference between big data and data mining?
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What are the advantages and disadvantages of Li-Fi technology?
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What is the difference between Li-Fi and Wi-Fi?
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What is Li-Fi?
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What is Cloud Print and how is it used?
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What does big data do?
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How does mobile computing work?
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How can mobile apps help business?
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How can I set up cloud storage?
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How can cloud computing help small businesses?
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How can I learn to use Hadoop to analyze big data?
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What is the difference between cloud computing and mobile computing?
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How is containerization different from virtualization?
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How are a network analyzer and a network scanner different?
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What is the difference between DRS and SDRS?
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What is the difference between CPU contention and CPU ready queue?
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What's the difference between converged and hyper-converged infrastructure?
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What is the difference between a managed service provider and a public cloud?
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What is the difference between vMotion, VM migration and live migration?
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What are the most common network topologies?
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How do administrators use a NetFlow collector?
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What's the difference between SharePoint monitoring and server monitoring?
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What resources are available for Sharepoint monitoring, Exchange monitoring and analysis of other Microsoft products?
-
What is involved in active directory monitoring?
-
What is the difference between sFlow and NetFlow?
-
What role will the internet of things play in the big data ecosystem?
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Is Hadoop for everyone?
-
What's the difference between software-defined networking (SDN) and network virtualization?
-
Can mobile phones cause cancer?
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What is the difference between security and privacy?
-
Can mobile phones be tracked?
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What is the difference between a mobile OS and a computer OS?
-
How can cloud computing be used at home?
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How can I securely erase or wipe an iPad?
-
What is the difference between privacy, confidentiality and security?
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