190-611 exam Dumps Source : Company Notes Domino 6 Application progress Intermediate Skill
Test Code : 190-611
Test appellation : Company Notes Domino 6 Application progress Intermediate Skill
Vendor appellation : Lotus
: 255 true Questions
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IBM announced ultimate nighttime that it's promoting the closing components from its 1995 acquisition of Lotus to Indian enterprise HCL for $1.eight billion.
IBM paid $three.5 billion for Lotus returned within the day. The huge items here are Lotus Notes, Domino and Portal. These were a big piece of IBM’s commerce enterprise for a long time, but eventual year vast Blue entire started to pull away, selling the construction part to HCL, whereas protecting control of sales and advertising.
This announcement marks the halt of the road for IBM involvement. With the progress of the platform out of its control, and in necessity of cash after spending $34 billion for red Hat, perhaps IBM comfortably decided it now not made sense to maintain any a piece of this in-residence.
As for HCL, it sees an break to continue to build the Notes/Domino company, and it’s seizing it with this purchase. “The big-scale deployments of these products supply us with a pretty much probability to attain and serve hundreds of global corporations across a wide array of industries and markets,” C Vijayakumar, president and CEO at HCL applied sciences, said in an announcement aphorism the deal.
Alan Lepofsky, an analyst at Constellation research who maintains immediate watch on the commercial enterprise collaboration area, says the sale may characterize a sparkling start for utility that IBM hasn’t in reality been paying shut consideration to for a while. “HCL is course more interested in Notes/Domino than IBM has been for a decade. they are investing closely, attempting to rejuvenate the company,” Lepofsky informed TechCrunch.
whereas this software can moreover account long in the tooth, Notes and Domino are silent in consume in lots of corners of the commercial enterprise, and this is especially objective in EMEA (Europe, middle East and Africa) and AP (Asia Pacific), Lepofsky talked about.
He added that IBM appears to be absolutely exiting the collaboration district with this sale. “It appears that IBM is achieved with collaboration, out of the video game,” he mentioned.
This movement makes sense for IBM, which is relocating in a unique course as it develops its cloud business. The purple Hat acquisition in October, in certain, suggests that the enterprise desires to include private and hybrid cloud deployments, and older utility enjoy Lotus Notes and Domino don’t basically play a role in that world.
The deal, which is province to regulatory approval tactics, is anticipated to shut within the hub of next yr.
IBM got Lotus application returned in 1995 for $three.5 billion. it's now divesting the know-how, together with six other one-time cornerstone enterprise applications.
There changed into a time when Lotus Notes and Domino were the cornerstones of IBM's utility portfolio, enabling commerce collaboration and productiveness. these days are now in the past, as IBM is divesting these assets, together with a yoke of other purposes, to HCL applied sciences.
HCL technologies will pay IBM $1.8 billion, with the deal expected to shut in mid-2019. besides Notes and Domino, HCL is buying a few different commercial enterprise functions, including: Appscan for at ease software construction, BigFix for relaxed device management, Unica (on-premises) for advertising and marketing automation, Commerce (on-premises) for omni-channel eCommerce, Portal (on-premises) for digital event, and Connections for workstream collaboration.
"We conform with the time is confiscate to divest these select collaboration, advertising and commerce application assets, that are more and more delivered as standalone products," John Kelly, IBM senior vice president, Cognitive options and analysis, wrote in a media advisory. " on the equal time, they faith these items are a tough strategic fortunate for HCL, and that HCL is well located to constrain innovation and growth for their consumers."
IBM has more and more been entering into cloud and simulated intelligence during the eventual four years, and has developed up other property that it is going to hub of attention on.functions
many of the functions being bought to HCL had been at first bought by IBM from other companies.
IBM received Lotus utility, maker of Notes and Domino, in 1995 for $three.5 billion, notwithstanding the Lotus company wasn't dropped through IBM unless 2012.
AppScan which is now being sold to HCL, changed into once the cornerstone of the IBM Rational application portfolio. IBM received the AppScan product portfolio as piece of the acquisition of safety vendor Watchfire in June 2007.
BigFix was acquired by using IBM to become a piece of its Tivoli operations division in July 2010, while Unica become acquired through IBM in August 2010 for $480 million.HCL technologies
HCL technologies is based in Noida, India, and positions itself as a digital transformation enterprise. HCL and IBM had already been partnering on many of the bought software property.
"We proceed to survey exceptional opportunities in the market to enhance their Mode-three (items and systems) offerings," C Vijayakumar, President & CEO, HCL applied sciences, wrote in a media advisory. "The items that they are acquiring are in giant becoming market areas enjoy protection, advertising and Commerce, which can be strategic segments for HCL. many of these products are neatly viewed by means of valued clientele and positioned in the excellent quadrant with the aid of commerce analysts."
Sean Michael Kerner is a senior editor at EnterpriseAppsToday and InternetNews.com. celebrate him on Twitter @TechJournalist.
newsIBM Modernizes Domino commerce App Platform
IBM has modernized Domino, its company app platform with roots within the Lotus Notes ecosystem that debuted in 1989.
as soon as basically wide-spread because the server-aspect segment of Lotus Notes, Domino is a multi-faceted platform that offers app progress -- using the quick-software-building approach -- and more.
In revamping the 29-12 months-historical platform, IBM has more advantageous cloud assist, mobile software construction, analytics and boosted the collaboration capabilities that were a mainstay of Lotus Notes, which grew to be IBM Notes in a 1995 acquisition.
Two of the most exceptional modernizations in the unique IBM Domino v10 are cellular app construction capabilities and the embody of node.js.
The better mobile progress functionality comes in the brand unique IBM Domino mobile Apps, which is being previewed as a beta for which developers can note up. Furthering the IBM/Apple commerce relationship, the providing lets developers create Apple iPad enterprise apps. "IBM Domino additionally replicates facts between the server and indigenous version of your functions, so your group can be productive even with out network connectivity," the enterprise spoke of.
one more unique characteristic is the means for developers to convoke any relaxation APIs from Domino applications, enabling the capacity, for examples, to add Google Maps performance, pull in Salesforce customer data or leverage IBM's Watson capabilities.
the unique Domino v10 stems from a progress agreement IBM entered into with HCL applied sciences a year ago.
David Ramel is the editor of visible Studio journal.
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Those who are able to tap meaningful data flows of commerce break in internal company data and freely available online information will be the primary commerce value creators of the 21st century.
At a successful vast data analytics firm, employees promote from many backgrounds: product managers, data scientists, software engineers, database architects, and business-focused solutions specialists (aka “Big Data consultants”). In particular, professional services should frame customers’ vast Data challenges into a problem that analytics scientists, data architects, and data scientists can consume cutting-edge algorithms to solve.
In order to compete more effectively in the vast Data marketplace, consultants should beget the following skill sets.1. Understand Hardware
Do you know how a computer works? If you don’t, you should. In particular, understanding what kinds of software runs best on different types of computers is vital to being able to scope the hardware requirements for your vast Data toil to succeed. Some considerations: reminiscence vs. disk/storage space (e.g. for analytics on in-memory databases), the number of cores (i.e. processing power), and whether the commerce problem is best done on one server (such as a regression) or distributed among multiple servers (such as determining how many tweets on a topic are negative).
If you are running your algorithms on a distributed system where it’s OK for one “node” (computer or server) to fail, commodity hardware can maintain your costs low. If your algorithms beget to be rush on a supercomputer (like weather forecasts, perhaps), that probably means you’ll necessity expensive specialized hardware. Not surprisingly, the trend these days is towards using more commodity hardware and writing software that can divide the toil across multiple servers, rather than spending a lot of money on an expensive supercomputer that will become obsolete in a few years.
You should know what hardware is required for your analytics toil because you’ll necessity to know whether to do a given solution in the cloud (such as Rackspace or Amazon’s Elastic Computing cloud) or running it on hardware bought, set up, and maintained in-house by your IT department.
In order to scope your hardware needs appropriately, when starting a software (or SaaS) project, here are a few prefatory questions to query your customer:
Scoping hardware requirements is more intricate than this, but these questions are helpful for getting started.2. Understand the Software progress Life Cycle and how Software Works
As Arthur C. Clarke said, “Any sufficiently advanced technology is indistinguishable from magic.” If you showed an iPhone to someone from the 1920s, it might appear enjoy magic to them. But in reality, the iPhone — or any software — starts with a detailed list of requirements. arbiter of edifice a skyscraper: you beget to beget the blueprints before you lay a sole steel beam.
Software itself is nothing more than a very specific set of instructions that tells a computer what to do. How would you parade a robot how to net from unique York to Los Angeles? Would you start with “Get into a car, and hook highway number…?” If so, you’re assuming that the robot knows what a car is, what a highway is, what different highway numbers mean, what your location is, and how to drive. The disagreement between a “high-level” software language and a “low-level” software language is the amount of detail the human has to toil with. In a low-level language, you necessity to specify more details to the computer, whereas in a “high-level” language, some of the details promote pre-built (e.g. the concept of “car” in the traveling robot example). Low-level languages (such as C) attend to rush more quickly, because the computer can translate the software to 1’s and 0’s faster, whereas higher level languages (like Python) necessity some intermediate steps to translate that language into the 1’s and 0’s on the microprocessor — which can takes some time. When you’re making a website about your dog, this doesn’t matter much, but if you’re writing a trading algorithm where microseconds can influence how much money you make, the time to compile the software does matter.
The software progress life cycle, often abbreviated SDLC, describes the process for writing software. The stages are fairly analogous to edifice a house:
Define requirements, write code (“dev”), test it (“QA” or attribute Assurance), and ship it (“prod” or production) are enjoy creating a blueprint, edifice the house, getting a certificate of habitability, and then someone can live in the house. The dev-QA-prod process is repeated to fix bugs. QA is necessary because if there is any code in the production environment that hasn’t gone through testing, it might break — just as a 2x4 that hasn’t been factory-tested under pressure might split and crash a house wall.
A few notes on databases — this layer is a total province in itself, but the basic things to know about your customers’ data that will beget your database architects happier are:
Stanford has a much online class (Intro to Databases) for more info.
Understanding software architecture is enjoy being able to read blueprint. Some jargon:
Server-side (“fat client”) means software that is designed to rush on a more powerful computer (usually a server), which is usually always on and always connected to the Internet. Server-side software languages attend to be called the “backend” since they’re not usually something an halt user (like an executive) sees.
Client side (“thin client”) means software that runs on something less powerful, enjoy your laptop. If you wanted to host a website from your laptop, you could — but if you turned off your computer to fade out for dinner, the website would cease to exist online because the host computer would be offline, not serving up webpages. Client side software languages attend to be called “front end” because they physiognomy the customer — such as a software-as-a-service offering accessed through a browser enjoy Chrome, Firefox, or Internet Explorer.
Like the walls and furniture of a house, there are different parts to software architecture. Most commonly used is a 3-tier architecture consisting of one or more databases, application servers, and web servers. For example, account a car rental company. The database store the information about the cars that can be rented, entire the customers’ names, email addresses, contact info and credit card numbers. The application layer does various operations on the underlying data — such as calculating how much a customer owes on a week-long rental for a frill car. The web servers hook the application and beget that information accessible in a password-protected way, online entire the time, to customers. It’s a best drill to beget more than one server for each layer, so that if one of the servers crashes (Windows users — you know what I mean!), people can silent reserve cars through your website and not net an oversight message.3. Learn to Code
Just as it’s very useful to learn to speak a language before going to another country, it’s very valuable to know how to code if you are a consultant working in vast Data. Similarly, being able to introduce yourself in another language, query directions, and order from a restaurant means you are significantly ahead of tourists that only speak English. Similarly, even if you don’t know how to write an entire iPhone app or machine learning algorithm, just taking a few introductory courses in Ruby (for example) will do you well ahead of the consultant who only knows PPT and Excel. If you beget the time to become fluent in one software language (i.e. Python rather than just Excel), you will understand the nuances of the environment and the software implications of commerce decisions far better.
That said, PPT and outdo are the bread and butter of traditional consultants. You crunch some numbers and do your findings in a “deck” that executives peruse at and hook action on. However, there is a vast disagreement between running some numbers in outdo and putting findings in PPT and a full SaaS offering, such as Python scripts crunching data in a Hadoop environment with a MySQL database and an Apache Tomcat web server pushing recommendations to a user’s Internet browser.
As anyone who has spent hours perfecting every eventual detail of a PPT knows, PPT as a presentation layer is highly manual and not scalable. Although outdo macros can automate some processes, even VBA is limited in its capacity to crunch big data sets. (Anyone who has ever dealt with a 10MB outdo file knows it can hook agonizing minutes to open or save.) When you can crunch data on a server or cluster of servers (which can handle gigabytes, rather than megabytes, of data), you can truly toil with vast Data in a scalable way. When your algorithms feed output into a visual layer (such as a website), you don’t necessity to check every number in your PPT because if the code is written well, vast Data analytics turn into commerce insights that an executive can net anywhere she has Internet access.
Hadoop is not the only vast Data tool out there, but it’s a much one. It matters because Hadoop is a software environment that enables you to crunch a lot of data relatively cheaply, using commodity hardware, where it doesn’t matter as much if one of your servers crashes because the toil can be distributed among the ease of the computing cluster.
Hadoop is best for problems that rush well when they are distributed among multiple computers. If the commerce problem you’re trying to solve uses a regression to prognosticate something, you’re probably better off with a sole server rather than a Hadoop cluster. do simply: you should peel an apple with an apple peeler, not a bazooka. Using the prerogative tool matters.5. consume Data Visualization to parade a chronicle that Inspires Action, and net pellucid on UI / UX
Data visualization is about more pie charts and bar graphs or pretty pictures. much data visualization is about telling a chronicle that leads to action. To paraphrase the rules of journalism, much data visualization shows what happens, when, and to whom — and what actions can be taken to help commerce outcomes.
On a related topic, UI = User Interface; UX = User Experience. How people interact with websites should moreover be as light as possible. For examples, peruse at:
- The Amazon.com checkout process (shopping cart)
- The Netflix homepage after you login (recommendations)
- The unique York Times main website (for news)
Each of these sites has been fine-tuned to be optimal for a specific user to interact in a specific course (to buy, to watch, to read). Understanding your user and what they want to do — and how to help them net what they want — is the first (of many) considerations in a much UI/UX strategy.6. consume Customer-Facing Communications Skills to Scope Requirements
The basic commerce communications skills consultants necessity to know are how to communicate clearly verbally and in writing, including PPT and Excel. But that is only the beginning — and par for the course, not a strategic differentiator — in vast Data analytics. A consultant who knows what the customer wants to survey at the end — the website UI instead of a PPT — will be well placed to translate the customer’s data flows into a problem statement and framework that data scientists and software engineers can toil with. This role as “business translator” cannot be underestimated. As the aphorism goes, “Garbage in, garbage out” — software just tells a computer what to do. It can’t guess what the customer wants, if those wants were not specified in the code. So the better the consultant can translate customer needs into software requirements, the better the code and the happier the customer will be.7. be Able to Do Project Management AND Product Management
In traditional consulting, project management is one thing consultants are expected to do. But in a vast Data world, analytics providers necessity to “productize” their offerings to be more valuable companies. This is because investors value consulting firms at 1x revenues — you’re only as valuable as eventual year’s client list — but product firms enjoy Salesforce.com are valued at many multiples of revenues, because the people who consume their products beget “stickier” licenses for one or more years.
In order to be a much project manager, you beget to maintain the customer happy. In traditional consulting done with PPT and Excel, any eventual minute changes merely connote that the analysts and associates beget to pull a few all-nighters to meet deadlines. But in a product management setting, eventual minute changes may connote re-thinking the entire software code; it’s far better to set things up prerogative the first time because thousands of lines of code usually can’t be rewritten AND bug-free in a few nights. Additionally, product management is about edifice a re-usable tool that multiple customers can use, rather than tailoring entire toil to one customer’s needs. So “project manager” consultants who are used to doing whatever it takes to maintain a customer satisfied may beget a arduous time creating a product that multiple customers can use. Transitioning to be a product manager from a project manager can start with learning how to build your own website, re-create Tetris, or otherwise beget a tool that multiple people can use, in a software language of your choice.
Lastly, project management in consulting often involves a lot of meetings (and PPT and Excel). Product management involves working more with software engineers and data scientists who build the product according to the specifications (translated from the customer’s needs by a consultant or product manager). If you ever prodigy why software engineers maintain odd hours, it might be because they want to toil in the middle of the night because they know they won’t net asked to unite yet another meeting. Because of the nature of software and analytics work, uninterrupted stretches of time are vital to productivity. Smart product managers set aside blocks of time where their engineers and scientists know they will not be interrupted. Agile software progress is one methodology which includes daily meetings for 15 minutes, where everyone goes through what they accomplished the day before, what they diagram to Do that day, and anything blocking them from making progress. Typically held standing up (so people want to leave and to maintain the meeting short), agile “scrum” style meetings are an efficient course to maintain consultants in daily sync with engineers and scientists while maximizing the time the latter can expend working on the code.The Bottom Line
Traditional commerce consulting skills are important, but the capacity to speak and write clearly and create nice outdo and PPT documents are only one layer of the unique vast Data consultant skill set. If you peruse at job sites or LinkedIn postings, the number of “pure strategy” consulting roles are few compared to those involving data science. Consultants who Do not learn about hardware, software, data visualization, UI/UX, Hadoop and product management will soon topple behind in the marketplace. Even if you don’t intend to net a PhD in machine learning or build the next Bloomberg terminal, being able to “talk tech” is a much course to become invaluable to any company.
In tech publications today, you regularly survey articles on edifice inclusive toil spaces for women and removing the stigmas of “brogrammer” culture. Groups enjoy coast the Dial highlight the institutional barriers women physiognomy in their tech careers. Essays enjoy the one published by former Uber software engineer Susan Fowler detailed specific offenses, which brought about swift and melodramatic change within some of the world’s biggest tech companies. There are regular string dedicated to training managers on how to not become the next Uber.
For Bridge’s program leaders, the challenge was not about getting more women into the pipeline, but helping them coast further through it.
When it comes to technical skills, initiatives often focus on getting more women into the pipeline. The faith is that the earlier you start getting women into flow (Science, Technology, Engineering, Mathematics), the more likely you are to halt up with higher numbers of women in the tech ecosystem. According to the Where is the Dial Now? report by coast the Dial, only 29.6 percent of entire women graduates are flow grads; however, women beget up over half of entire university graduates. It then makes sense to inspirit and motivate girls and women to become interested in STEM.
Some start very early, enjoy Canada Learning Code, which has an arm dedicated to teaching school-aged girls on the basics of code.
For Bridge program leaders Emily Porta and Lindsie Canton, the challenge was not about getting more women into the pipeline, but helping them coast further through it.
The program is for women with some toil experience in the tech industry, either in design or software development, and a wish to coast up in their careers. Initially incubated by Toronto progress arduous Rangle.io, the Bridge program is an initiative to “give women the tools they necessity to net better jobs in the tech industry, either at Rangle or another tech-related company.” Porta and Canton are now looking to expand the Bridge program to other tech firms in the community.Building a Bridge, not a bootcamp
Although its peruse and feel are similar to bootcamp classes, the Bridge program has wee cohorts of 10 to 12 people part-time and an specific community focus that makes it unique.
“We started with software development. The classes are half lecture-based, half project-based,” explained Porta. “Women net to toil together in Agile software progress teams that lead to an application they can do into production.”
This way, continued Porta, the women are not only performing specific on-the-job actions, but moreover gaining leadership and teamwork experience that help them develop the professional skills necessary to promote their careers.
Porta is a Scrum Master at Rangle.io, and she do those skills to consume founding the original Bridge for Software Developers program. Canton, on the other hand, is a Product Designer, so she spearheaded the inaugural Bridge for Product Designers.
“In the product design program, they employ modern pedagogy and they Do a lot of interactive workshops,” Canton said, mentioning that the women net both project-based learning and in-class practice.
The program is moreover different from a traditional bootcamp in the sense that Bridge focuses on women who beget some prior experience, rather than those looking to crash into the industry. In addition, Bridge is free for participants, sponsored by the hosting companies as both a recruiting and community edifice exercise.
“In many ways, they reckon on bootcamps because they bring people from non-traditional or non-technical paths,” said Porta. “They hook those people from having no skills, or very few skills, to a higher level. And after that is where they promote in”
Porta added that Bridge is focused on women in tech not because they can’t find jobs, but because many women in tech struggle to net the job they want, whether that’s a leadership position or just a next-step promotion. With so many organizations focused only on getting people into the pipeline, next-level skill progress is often overlooked for folks who don’t beget a lot of support or resources coming from their networks. The challenge is worse for women who did not attend more traditional educational institutions.
“It’s much harder and slow-going for women to net the very result as people who beget had the privilege of taking more traditional paths,” Porta added. “My initial judgement for founding Bridge was frustration around people saying, ‘we’d esteem to hire her, but…’ and then not having next steps to help people, specifically women, level up.”
Porta’s frustration revolved around how she saw qualified people – women in particular – receive limited resources to help with skill progress even though “they beget other qualifications.”
According to coast the Dial’s report, 45 percent of entry level tech workers are women, but only 25 percent of senior tech leaders are women, highlighting the necessity for support to those further down the funnel.
Unlike other diversity and inclusion programs that build networks or present entry-level workshops for folks from marginalized backgrounds, Bridge was founded with the specific goal of “helping junior developers and designers become intermediate to position them for immediate hire.”
In order to showcase accomplishments and support graduates, Bridge began giving graduation certificates at the halt of 2017, starting with the Bridge for Product Designers beta cohort. In the future, the program will give certificates to entire graduates, both for software developers and designers. However, Porta notes that “the students’ accomplishments speak for themselves in their portfolios, code repositories, and in the interview room.”
The necessity for support is clearly desired by the market. Given the success of, and demand in, the initial cohorts – there beget been over 500 applicants for the first three – Porta and Canton are now focused on expanding the program to other companies to help more women.Lead by example
Canton explained that the expansion of Bridge is piece of what she sees as a necessary shift to multi-layered diversity and inclusion strategies in tech companies.
In a much diversity and inclusion strategy, she said, the first layer is basic anti-bias training or criterion anti-discrimination policies. The second layer, however, is about taking action.
“Companies build individual programs but then don’t build them out.”
For Canton, the first step for individuals looking to hook action is educating oneself on the issues, and explicitly recognizing your privileges. She recommends that anyone who wants to beget an repercussion in diversity and inclusion query themselves tough questions around what their privileges are and what they may beget received because of those privileges.
“Whether you are an employee or the CEO, that’s the first step,” Canton said.
When a company makes a conclusion to coast forward, its leadership has to step up to the plate and let the organization know diversity and inclusion are critical. When leadership supports groundswell employee actions, initiatives enjoy Bridge spring to life.
Canadian tech leaders beget echoed similar sentiments about the necessity for leadership to provide support in these circumstances.
“Diversity metrics are important, but it’s time to build better accountability, evaluation, and metrics,” said Dr. Sarah Saska in a BetaKit op-ed. “As the Canadian tech community better harnesses its “spidey senses,” they feel that Canada is well-positioned to develop a leading DIBs [Diversity, Inclusion, and Belonging] criterion for the global tech industry.”Don’t reinvent the wheel
Porta and Canton’s goal with Bridge’s expansion is to provide a template that helps organizations net to action faster.
They diagram to share the Bridge brand, framework, and system with other companies, so they can sponsor and host their own Bridge programs, edifice off an already-proven product instead of reinventing the wheel.
Encouraging leadership to step up is often the rallying wail of any organizational change, but one of the issues that plagues diversity and inclusion-focused initiatives is the necessity of traction beyond the organization that founded them.
“We survey some people creating much programs, but they are often under lock and key,” Porta said. “Companies build individual programs but then don’t build them out. They are not taking the next step to beget a community initiative.”
While it’s not a deplorable thing that organizational diversity and inclusion initiatives help the company that founded them, Porta notable that it’s necessary to focus on the community you are helping from day one. This means individuals may halt up working for other organizations, but Porta and Canton believe the net result is more positive for the community at large.
“At Bridge, they drill a lot of things that they consume at Rangle,” Porta said. “But these are moreover fundamental skills that can be taken to other jobs. So even if cohort participants don’t net hired at Rangle, they will be happier in their unique job or more successful in their current job.”
Applications are currently closed for the next Bridge for Software Developers cohort, but their applications page indicates to result Bridge on Twitter, Facebook, and Instagram for updates.
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