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70-545-CSharp exam Dumps Source : Microsoft Visio 2007 (R) Application Development

Test Code : 70-545-CSharp
Test Name : Microsoft Visio 2007 (R) Application Development
Vendor Name : Microsoft
: 54 Real Questions

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Microsoft office Suite 2007 provider Pack three | killexams.com Real Questions and Pass4sure dumps

This Microsoft office Suite 2007 provider Pack three gives the latest updates to the 2007 Microsoft workplace Suite. The update additionally applies to Microsoft office project, Microsoft office SharePoint dressmaker, Microsoft workplace Visio, and visual internet Developer.

The 2007 Microsoft office suite service Pack three (SP3) and Microsoft workplace Language Pack 2007 SP3 supply the newest updates to the 2007 office suite and to workplace Language Pack 2007. These updates consist of two leading classes of fixes:

  • prior to now unreleased fixes that were made principally for this provider pack. This includes improvements in balance, in efficiency and safety.
  • All public updates, security updates, cumulative updates, and hotfixes that were launched via September 2011.
  • As all Microsoft office service packs are cumulative, you should not have to installation carrier Pack 1 or provider Pack 2 before you install service Pack 3. carrier Pack three contains all the fixes that were covered in service Pack 1 and service Pack 2.


    Microsoft’s 5 biggest acquisitions earlier than today’s $26B LinkedIn deal | killexams.com Real Questions and Pass4sure dumps

    Microsoft nowadays announced plans to acquire expert social network LinkedIn for $26.2 billion, a watch-popping fee that’s 2d in cost in tech acquisitions only to Dell’s $67 billion buy of EMC closing year.

    but the place does LinkedIn lie in Microsoft’s circa 200 familiar acquisitions? It’s the business’s most beneficial acquisition for bound, at greater than thrice as tons as it paid for its outdated greatest acquisition, Skype, lower back in 2011.

    right here’s a short look returned at Microsoft’s 5 largest acquisitions earlier than these days’s news emerged.

    1. Skype (2011): $8.5 billion

    Microsoft received Skype for $8.5 billion in 2011, not an entirely unreasonable charge for a provider that relatively an awful lot owned the purchaser voice over information superhighway protocol (VoIP) market.

    Skype remains going amazing, nonetheless it has many greater rivals this present day within the variety of messaging apps with voice-calling aspects inbuilt.

    2. Nokia’s cellphone unit (2013): $7.6 billion

    This wasn’t a full business acquisition, but Microsoft snapped up Nokia’s cell phone unit for $7.2 billion in 2013.

    The deal didn't work out smartly, with a failure to shoehorn home windows mobile into the public’s cognizance resulting in Microsoft announcing a tremendous restructuring plan for its mobile company that quite simply supposed it was writing off the cash it paid to purchase the business. Microsoft recently laid off extra former Nokia team of workers and offered its function-telephone enterprise for $350 million.

    3. Aquantive (2007): $6 billion

    online promoting business Aquantive become the subject of a $6.three billion purchase by way of Microsoft in 2007.

    on the time, there became seemingly a big land-seize for the new rising advert-tech companies, however things didn’t determine too neatly in this case. Microsoft took a $6.2 billion writedown on the acquisition five years later.

    four. Mojang (2014): $2.5 billion

    Microsoft snapped up Minecraft maker Mojang for $2.5 billion in 2014.

    It’s probably too early to assert how this one will pan out, however Microsoft lately added a Minecraft education edition for colleges, with plans in area to charge $5 per user per yr. And Minecraft lately passed a super milestone — a hundred million copies offered across all structures.

    5. Visio (2000): $1.5 billion

    Diagramming application company Visio was bought by way of Microsoft for $1.5 billion in stock in 2000.

    greater than 15 years later, the product continues to be going powerful as Microsoft Visio, one of the most business’s workplace utility equipment.


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    Top programming languages to learn in 2019? Developers name their favorites | killexams.com real questions and Pass4sure dumps

    Developers are most keen over the coming year to learn open-source Python, Microsoft-backed TypeScript, Google-hatched Go, and the go-to language for creating Android apps, Kotlin. 

    The findings come from a survey by developer marketplace HackerRank, which asked 71,000 developers around the world about what languages they know today and what they want to learn this year. The results are released in its 2019 Developer Skills Report. 

    Go, created in 2007 at Google, is the top language that developers say they want to learn in 2019, followed by Kotlin, Python, and TypeScript. Other languages that are high on developers' agenda for the next year include R, Swift, and Scala. 

    HackerRank found that developer interest in TypeScript spiked in the past year. The language was developed by Microsoft and debuted in 2012 as the company's answer to scaling up JavaScript for large applications built by large teams of developers. 

    TypeScript also rose from being the fifth most popular language to learn in HackerRank's 2017 developer survey to the fourth most popular language to learn in its 2018 survey.   

    HackerRank believes TypeScript's rising popularity is likely due to widespread knowledge of JavaScript and that many JavaScript frameworks use TypeScript. The language was known by just under a quarter of all developers in 2018 compared with 15 percent last year. 

    SEE: How to build a successful developer career (free PDF)

    TypeScript ranks eighth on HackerRank's list of most popular languages in 2018. The ranking is based on what languages developers report they understand. 

    The top language in 2018 was JavaScript, which was understood by 73 percent of developers. The remaining top 10 include Java, C, Python, C++, PHP, C#, TypeScript, Pascal, and Ruby. 

    Despite widespread knowledge of JavaScript, which is commonly used to build web applications, HackerRank's earlier study of student developers found that just 42 percent in this group knew the language, probably because it isn't frequently taught in computer-science programs. Developers therefore tend to learn it on the job. 

    While JavaScript rules HackerRank's list of top programming languages, Python took out the top place in the Tiobe index for 2018. Unlike JavaScript, Python is widely taught in universities, and is also popular for machine learning, scripting, web programming, and scientific computing. 

    Usage of Kotlin, an alternative to Java, has also skyrocketed over the past two years after Google made it an officially supported language for developing Android apps. Microsoft-owned GitHub found that it was the fastest-growing language on the code hosting site. 

    screenshot-2019-01-29-at-11-25-51.png

    Python, TypeScript, Go, and Kotlin are the top languages developers want to learn.

    Image: HackerRank Previous and related coverage

    Is Julia fastest-growing new programming language? Stats chart rapid rise in 2018

    Company founded by Julia's four creators issues figures to show how the open-source language gained momentum in 2018.

    Programming language Julia is gaining on Python

    A young programming language for machine learning is on the rise and could be soon gunning for Python.

    Programming language of the year? Python is standout in latest rankings

    Python consolidates its place as a long-term top-three programming language.

    Python now a top-3 programming language as Julia's rise speeds up

    The MIT-created Julia programming language continues its ascent in developer popularity.

    Which programming languages are most popular (and what does that even mean)?

    Popularity may not be a single vector answer, but students and professionals still want to know if they're guiding their careers and companies in the right direction.

    Possible Python rival? Programming language Julia is winning over developers

    A young programming language for machine learning is on the rise and could be soon gunning for Python.

    Python's rise: Could it soon edge out C++ in programming language popularity?

    Python climbs up TIOBE's search engine-based index of programming language popularity.

    Microsoft readies Python, Java support for its bot-building framework

    Microsoft may be ready to rev up (again) its conversation as a service strategy, with new additions to its bot-framework toolset.

    Is Julia the next big programming language? MIT thinks so, as version 1.0 lands TechRepublic

    Released in 2012, Julia is designed to combine the speed of C with the usability of Python, the dynamism of Ruby, the mathematical prowess of MatLab, and the statistical chops of R.

    Mozilla's radical open-source move helped rewrite rules of tech CNET

    A gamble 20 years ago unleashed the source code for the browser that became Firefox. The approach is now core to Facebook, Google and everyone else.


    This Beijing hub is home to 10 major AI labs driving China’s tech ambitions | killexams.com real questions and Pass4sure dumps

    Zhongguancun is often referred to as China’s equivalent to Silicon Valley, thanks to its heritage as an innovation hub encompassing the country’s top two universities and a number of incubation centres for start-ups.

    Established 30 years ago, the area is the birthplace for some of the country’s best-known technology firms as well as China headquarters for many international players.

    Today, Zhongguancun is home to about 9,000 hi-tech companies, including Chinese search engine and artificial intelligence champion Baidu, social media giant Sina Corp, as well as regional headquarters for global giants like Microsoft and Google. Nearly half of the country’s 70 unicorns – start-ups with a valuation of US$1 billion or more – are located in the area.

    Zhongguancun is also at the epicentre of a wider effort by Beijing municipal authorities to encourage the development an AI industry, part of the country’s broader efforts to gain supremacy in a technology that has been called the fourth industrial revolution.

    Here is a list of 10 AI labs in Zhongguancun (in alphabetical order).

    1. Baidu Research

    Situated inside Baidu Technology Park in the northwest of Beijing’s Haidian district, the centre is the heart of the company’s research and development efforts in AI, complemented by similar facilities in Silicon Valley and Seattle.

    The search giant, which committed to AI more than seven years ago, has earned the nickname the “Huangpu Military Academy of AI” – after China’s version of West Point – because it has become a cradle for training talent, some of whom end up starting their own ventures. In 2017 Baidu was hand-picked by the central government to lead the country’s AI research efforts in AI.

    Baidu vice-president Wang Haifeng currently serves as the research centre head, overseeing projects ranging from natural language processing and computer vision, to autonomous driving and quantum computing.

     2. ByteDance AI Lab

    ByteDance, the world’s most valuable start-up with a reported valuation of US$75 billion, operates a number of app-based content products, including the hugely successful news aggregator Jinri Toutiao and popular karaoke video app TikTok.

    In that sense, its self-built AI Lab was founded in 2016 to serve the company’s overarching platforms. Research focuses on machine learning, data mining, voice recognition, computer graphics, augmented reality and information security.

    China’s ByteDance to raise about US$1.45 billion for its venture fund

    The Beijing-based start-up says a key research advantage is the massive amount of data it collects from its apps, which can be used to refine existing AI models and explore new applications. The lab is led by Ma Weiying, ByteDance vice-president and former assistant managing director of Microsoft Research Asia.

    3. Didi AI Labs

    The country’s largest ride-hailing platform is using AI to solve the real-time transport needs of 1.3 billion people at home and millions more in overseas markets including Mexico, Australia and Brazil.

    The AI research facility was established in 2016. Last year, users on Didi’s platform travelled 48.8 billion kilometres, with total trips adding up to 1.7 billion hours.

    The company’s AI focus is on smart dispatch systems, optimised route planning, real-time mapping, speech interaction and computer vision. Ye Jieping oversees the Didi AI lab in Beijing while its North American research facilities in Silicon Valley and Toronto are led by Gong Fengmin.

    4. Intel China Research Centre

    Intel was among the first foreign multinational companies to set up a research institute in China and has become deep rooted with Chinese universities in conducting frontier research, talent training and other academic collaborations.

    The centre, established in 1998, now consists of five research teams: robotic innovation lab, cognitive computing lab, intelligent driving lab, communication architecture lab, and new technology centre. AI, autonomous driving and 5G are among research priorities.

    Song Jiqiang serves as dean of the Intel China Research Centre.

    5. Kuaishou Y-tech

    Co-founded by four IT engineers, live-streaming and video-sharing platform Kuaishou set up Y-lab in 2016, later changing its name to Y-tech as it aims to one day become Kuaishou’s answer to Google’s Deep Mind.

    One of China’s hottest video apps is flirting with video gaming

    With its main focus on AI, the lab aims to apply computer vision and machine learning to create a better interactive user experience. Such technologies are used to serve about 130 million daily active users in China as well as overseas users in countries such as Vietnam, Russia and Turkey.

    Zheng Wen, a Tsinghua alumni peer of company CEO Su Hua, leads the lab.

    6. Megvii Research Institute

    Megvii, also known as Face++, is one of the country’s most high-profile AI start-ups because its facial scan software helps power the Ministry of Public Security’s database of about 1.3 billion Chinese people.

    The company has a team of about 200 researchers in facilities from Beijing, Nanjing and Chengdu on the mainland to Hong Kong and Seattle, Washington. The research focuses on deep learning models for computer vision.

    Sun Jian, former principal research manager of Microsoft Asia, serves as Megvii’s chief scientist and managing director of its research institute.

    7. Microsoft Research Asia

    Founded in Beijing in 1998, Microsoft Research Asia (MSRA) is the tech giant’s largest research institute outside the US. Over the last 20 year it has focused on next generation technologies and was one of the earliest to invest in AI research in China.

    MSRA has extensive influence in the field, as its founding chairman Lee Kai-fu later left and set up venture capital fund Sinovation Ventures, while his successor Zhang Yaqin joined Baidu as its president.

    The lab focuses on basic and applied research in areas central to Microsoft’s long-term strategy and future computing vision, including natural user interfaces, next generation multimedia, data intensive computing, and computer science fundamentals.

    Hsiao-Wuen Hon is corporate vice-president of Microsoft, chairman of Microsoft’s Asia-Pacific R&D Group, and managing director of Microsoft Research Asia.

    8. Sensetime Research

    Founded out of the Hong Kong Science Park in 2014, Sensetime specialises in facial recognition and computer vision applications, and has positioned itself as a “platform company” for AI technologies. Dubbed the world’s most valuable AI start-up, it has already achieved profitability on the back of applications in surveillance, smart cities, internet entertainment, smartphones, finance, retail and other industries.

    The company, which has dual headquarters in Beijing and Hong Kong, has formed a research institute with a team of nearly 1,000 researchers. The Beijing facility focuses on computer vision, autonomous driving, supercomputing and augmented reality technologies. Last year, it co-funded an AI lab in Hong Kong in partnership with the Alibaba Hong Kong Entrepreneurs Fund, and also set up its own smart health lab in New Jersey.

    Beijing recruits AI start-up from Hong Kong to lead tech drive

    Wang Xiaogang, associate professor of electronic engineering at the Chinese University of Hong Kong and company co-founder, serves as managing director of Sensetime Research.

    9. Sinovation Ventures AI Institute

    Based in Zhongguancun, Sinovation Ventures established the institute in 2016 to facilitate scientific research and technology applications that centre on computer vision, natural language understanding, robot perception and decision making.

    The institute consists of five AI labs in health care, education, robotics, machine learning and computational finance. It also hosts the annual AI Challenger Global Contest and conducts AI training programmes. Sinovation Ventures president and CEO Lee Kai-fu serves as chair of the institute.

    10. Sogou-Tsinghua Tiangong Institute for Intelligent Computing

    Founded in 2004, Sogou operates China’s second most popular search engine and boasts the fourth largest number of monthly active users after tech giants Baidu, Alibaba and Tencent.

    The company donated 180 million yuan (US$26.7 million) to Tsinghua University in 2016 to co-establish an intelligent computing institute that would focus on frontier research in AI. The goal was also to apply research findings to Sogou’s products and services. The two organisations had previously established a joint lab in 2007.

    A Tsinghua alumni himself, Sogou CEO Wang Xiaochuan serves as co-chief of the institute.


    The CFO’s Crucial Role in Digital Transformation | killexams.com real questions and Pass4sure dumps

    All signs point to a digital tsunami washing over big companies this year and beyond. It’s already forcing a profligacy of spending on artificial intelligence, Internet of Things embedded wireless sensors, and other technologies emanating from digital R&D labs everywhere.

    In fact, between 2018 and 2021, companies worldwide will have collectively spent nearly $6 trillion on digital transformation initiatives, predicts technology industry watcher IDC.

    That’s a staggering sum. For chief financial officers it will mean that numerous sizable internal funding requests will fall on their desks. The two most important questions for them are likely to be these: Which funding requests deserve priority? And how much financial investment should they get, both in the short and long term?

    This points to a key, and I believe largely unsung, role of CFOs in digital transformation: to be astute investors in internal digital initiatives. You could also call the role “value-minded evaluator” or “mindful proponent.” “Rigorous catalyst” or “scrutinizing supporter.” Or even “discerning champion.”

    Krishnan Ramanujam

    Such terms reflect the difficult yet important role CFOs must play in digital transformation. They and their C-suite colleagues know their companies must become digital organizations. The question is not whether; it’s where and how much their company should spend to compete in an increasingly complex and brutal digitalized marketplace.

    It’s why, in their survey with CFO Research on digital transformation with 689 senior finance executives in the United States and Europe, the participants’ most frequently cited challenge was “connecting new strategies to new revenue.”

    Or, stated more plainly, and in the immortal words of that fictional pro football player Rod Tidwell from “Jerry Maguire” movie fame: “Show me the money!” Indeed, it’s up to CFOs to help their colleagues show the money generated by digital transformation.

    So exactly how should CFOs play the role of digital investment discerner? From their research, they found four opportunities that stood out:

  • Determining the economic viability of digital business models
  • Sparking profitable cross-functional digital process innovation
  • Helping the CIO determine the IT function’s operating model in a cloud world
  • Accelerating the finance function’s shift from low-value manual work to extreme automation and analytics-rich internal financial advisers.
  • Let’s look at each opportunity.

    Digital Business Model Evaluator

    There is no shortage of examples these days of the devastating impact of digital business model innovators. Uber and Lyft in the taxi industry. Netflix now in Hollywood, and a decade ago in video rental stores. Facebook and Google as advertising media. And (it probably doesn’t need to be mentioned) Amazon in retailing, cloud computing, and (more and more) the advertising business, too.

    To be sure, many established businesses have not been sitting idly on the sidelines. And that’s often due in part to strategically sharp CFOs who have prodded their CEOs and other executive colleagues to think ahead in digital terms. Among the finance chiefs they surveyed, 44% rated becoming extensively involved in next-generation business model development as an important way for them to drive growth.

    The CFO of privately held, $110 billion (revenue) Koch Industries, Steve Feilmeier, exemplifies this kind of CFO. In an interview with a Forbes columnist, he said digital technology both excites and worries the industrial manufacturing giant.

    “We think that the future will dramatically change every business, and no one is exempt,” Feilmeier was quoted as saying. “So they start by asking, ‘How will this market look different in five to seven years? How do they define market share? Are they defining the markets they are in too narrowly? Who might be the new entrants? Where might new revenue streams come from?’ ”

    This is all about business model innovation. CFOs, with their counterparts in strategy and technology, can play a major role in determining which models may be economically viable for their firms, now and in the future.

    Cross-Functional Digital Innovation Promoter

    CFOs can also give a big digital transformation assist to heads of functional areas in their companies’ here-and-now businesses. How so? By showing the potential financial returns from cross-functional digital process reengineering. The paybacks from these initiatives can be much greater than those of digital transformation within a single business function.

    As an example, consider digital transformation initiatives for reengineering the customer experience.

    Customers of any organization, B2B or B2C, typically interact with multiple departments in the companies they do business with. They respond to marketing campaigns that the marketers devise; they interact with salespeople, of course; and they deal with contact center and other customer service representatives after their purchase. Sometimes they even deal with finance, over billing matters.

    If a company digitally transforms only its marketing function, it is unlikely to deeply understand such important matters as which callers to the contact center are indicating (such as through their social media behavior) that they are good targets for cross-selling and upselling.

    But CFOs are worth their weight in gold if they help marketing, sales, customer service, and even product development heads understand the value of tracking and analyzing the digital footprint of customer behavior across all the company’s touchpoints.

    In fact, nearly half (47%) of CFOs they surveyed said it was important to use data and analytics collected across a company in strategic ways. It was the second-most-frequently cited way in which CFOs said they could ignite revenue growth — ahead even of business model innovation.

    IT Operating Model Adviser

    The meteoric growth of cloud computing providers this decade (Amazon, Microsoft, Google, and the rest) is emblematic of a big shift in where global manufacturing and service companies get their computing chores done.

    Increasingly the answer is that it’s getting done in another company’s data center. It’s why companies around the world spent $176 billion last year on public cloud services, according to Gartner, and why they’re projected to spend 17% more ($206 billion) this year.

    With that in mind, it’s probably not surprising that the third-most-frequently cited challenge for CFOs in driving growth was about leveraging cloud computing. Some 4 in 10 (39%) of those surveyed said it was a big challenge.

    A big question that many CFOs could help their companies’ CIOs to answer is this: What’s their financial justification for shifting from on-premises computing to public clouds?

    CFOs could help CIOs make a rigorous economic case for keeping or shifting computing applications, IT-enabled business processes, IT infrastructure, and more. But that case should go beyond pure cost reduction (from shrinking or closing data centers, for example). It should include the ability to provide exceptional but data-intensive customer experiences and whole digital products online.

    There is no greater case for the benefits of pushing certain applications and IT infrastructure to public clouds than Netflix. In 2007, the company launched its online streaming services in the United States. Revenue then was $1.3 billion. Since its launch of original content (movies and TV series) in 2013, Netflix’s annual revenue has grown to $15 billion.

    How did Netflix become a streaming video content giant? In part, by shifting its IT workload to Amazon Web Services in 2008. Netflix decided back then that its own data centers would not be able to handle the data-intensive loads of streaming videos.

    Every company that anticipates its digital business or digital business processes will need compute-intensive resources should be evaluating public cloud vendors. CFOs can be a valuable resource to CIOs who are wrestling with the economics of this decision.

    Finance Automater and Analyzer

    Finally, the fourth role CFOs can play in digital transformation is in transforming their own department. In their survey, 60% of the finance executives said they will devote at least 20% of their finance budgets to digitally transforming the function. They advise those that do so to take what they call a “machine-first” approach.

    By machine-first, they mean determining what manual and knowledge work in finance could be automated using artificial intelligence and other technologies.

    In fact, two-thirds of those surveyed said they are using AI in budgeting to do rolling financial forecasts; to make improvements in cash flow; and for other finance tasks. And 53% are using software robots to close the books faster and conduct more accurate internal accounting and decision making.

    But a machine-first approach doesn’t mean replacing every employee with a robot. It means shifting manual, paper-laden and low-value work to computers, and putting finance staff in higher-value strategic roles. In effect, it arms them with data and analytics software so they can help product, marketing, sales, and other managers make more optimal decisions.

    In these four ways, CFOs in any company can be catalysts of digital transformation. The opportunity is there, and the need is great.

    Krishnan Ramanujam is president of business and technology services for Tata Consultancy Services, a global IT services, consulting, and business solutions organization.



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