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000-M09 - Workplace Forms Technical Sales Mastery Test v1 - Dump Information

Vendor : IBM
Exam Code : 000-M09
Exam Name : Workplace Forms Technical Sales Mastery Test v1
Questions and Answers : 30 Q & A
Updated On : February 15, 2019
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000-M09 Questions and Answers

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000-M09 Workplace Forms Technical Sales Mastery Test v1

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000-M09 exam Dumps Source : Workplace Forms Technical Sales Mastery Test v1

Test Code : 000-M09
Test Name : Workplace Forms Technical Sales Mastery Test v1
Vendor Name : IBM
Q&A : 30 Real Questions

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IBM Workplace Forms Technical Sales

Settling In With IBM i For The long Haul | Real Questions and Pass4sure dumps

February 11, 2019 Timothy Prickett Morgan

If nothing else, the IBM i platform has exhibited remarkable toughness. One could even say legendary toughness, in case you wish to take its history the entire approach back to the gadget/3 minicomputer from 1969. this is the precise beginning point within the AS/four hundred family tree and here is when huge Blue, for terribly sound criminal and technical and advertising causes, decided to fork its items to handle the exciting wants of massive agencies (with the device/360 mainframe and its follow-ons) and small and medium groups (beginning with the equipment/3 and relocating on throughout the equipment/34, equipment/32, gadget/38, and system/36 within the Seventies and early Nineteen Eighties and passing during the AS/400, AS/400e, iSeries, device i, and then IBM i on vigour methods systems.

It has been a long run certainly, and a lot of consumers who have invested in the platform began manner lower back then and there with the early versions of RPG and moved their functions forward and altered them as their agencies evolved and the depth and breadth of company computing modified, relocating on up via RPG II, RPG III, RPG IV, ILE RPG, and now RPG free kind. Being on this platform for even three a long time makes you a relative newcomer.

there's an extended run ahead, due to the fact that we trust that the corporations which are nevertheless operating IBM i programs are the proper diehards, the ones who have no intention of leaving the platform and that, as a minimum in line with the survey statistics we've been privy too, are desiring to continue investing in, or even expand their investments in, the IBM i platform.

thus far, we aren't in a recession and heaven inclined there are not one, so the priorities that IBM i retail outlets have aren't those that that they had a decade in the past all through the top of the superb Recession. lower back then, as turned into the case in essentially all IT companies, IBM i retail outlets have been hunkering down and have been making an attempt to reduce costs in all techniques possible, including deferring device upgrades and migrations as well as reducing lower back on different projects. simplest 29 percent of the 750 IBM i retail outlets that participated within the 2019 IBM i industry Survey, which HelpSystems did returned in October 2018, had been concerned about cutting back IT spending. here is a remarkably low level, and that i think is indicative of how fantastically effective the financial system is – excepting one of the fits and starts we saw at the end of 2018 and here in early 2019 that make us nervous and will birth putting drive on things. listed below are the excellent considerations as culled from the survey:

dealing with the increase in data and in deciding the analytics to chunk on that statistics ranked a bit bit higher on the 2019 IBM i marketplace Survey than did reducing prices, and that i consider over the long haul these concerns will become greater critical than modernizing purposes and dealing with the IBM i skills shortages which are a perennial agonize. each of these considerations are being solved as new programmers and new equipment to make new interfaces to database purposes have become greater regular and as applied sciences akin to free form RPG, which looks more like Java, Python, and php, are being greater largely deployed and, importantly, can be picked up greater promptly via programmers skilled with these other languages.

Given the nature of the client base, it seems not going to me that protection and high availability will now not continue to be basic issues, despite the fact that the IBM i platform is among the many most secure systems in the world (and not simply since it is vague, but because it is exceedingly complex to hack) and it has quite a number high availability and disaster recuperation tools (from IBM, Syncsort, Maxava, and HelpSystems) accessible for people that wish to double up their systems and protect their purposes and facts. The bar is often higher than fundamental backup and recuperation for many IBM i shops in the banking, coverage, manufacturing, and distribution industries that dominate the platform. These organizations can’t have safety breaches, and they can’t have downtime.

there's a magnificent amount of steadiness within the IBM i consumer base that we believe, at this point, is reflective within the stability of the IBM i platform and massive Blue’s own belief that it needs a in shape IBM i platform to have an standard fit vigour systems business. we all comprehend that the vigor programs hardware business has just turned in five quarters of profits growth – whatever thing we mentioned currently in developing our own income mannequin for the vigour methods business – but what we didn't understand, and what be sure you know, is that in the 2d and third quarters of 2018, the IBM i component of the enterprise grew greatly sooner than the standard power methods business, and the handiest rationale that this did not take place within the ultimate quarter of 2018 is that sales of IBM i machinery in q4 2017 turned into somewhat powerful and represented a extremely challenging compare. The point is, the IBM i enterprise has been raising the vigor programs type average. (These guidelines in regards to the IBM i business come compliments of Steve Sibley, vice chairman and offering manager of Cognitive systems at IBM.)

IBM’s own fiscal steadiness of the energy platform – which has been bolstered through a circulate into Linux clusters for analytics and excessive efficiency computing simulation and modeling in addition to by using the adoption of the HANA in-reminiscence database via SAP customers on big iron machines including Power8 and now Power9 techniques – helps IBM i valued clientele suppose more confident in investing within the existing IBM i platform. The fresh evidence from several distinct surveys, no longer just the one carried out by means of HelpSystems every year, suggests that companies are by using and massive both continuing to make investments within the platform and even in some instances are planning to increase their spending on the IBM i platform in 2019.

As you could see, the pattern of investment plans for the IBM i platform, as proven in the chart above, has now not changed very much at all in the past 4 years. it is a remarkably strong sample with however a bit wiggling here and there that may additionally not even be statistically massive. simply below 1 / 4 of IBM i stores have stated during the past 4 years that they plan to raise their funding in the platform in each and every year, and just below half say that they are holding steady. This doesn't suggest that the equal agencies, 12 months after year, are investing extra and other corporations are staying pat, 12 months after yr. it is much more probably that each handful of years – extra like 4 or five – purchasers improve their systems and expand their capacity, and they then sit tight. The ask yourself is that the cut up isn’t showing a long way fewer companies investing and much greater sitting tight. That more than a tenth of the stores don’t understand what their plan is as each prior year involves a detailed is slightly worrying, however is sincere and suggests that a significant portion of shops have other priorities other than hardware and operating gadget upgrades. we've mentioned this earlier than and we will say it again: We feel that the americans who reply to surveys and browse weekly publications concentrated on the IBM i platform are probably the most energetic stores – the ones extra prone to stay highly current on hardware and application. So the pace of adoption for brand new technologies, and the price of investment, should be better than in the specific base, an awful lot of which doesn't trade tons in any respect.

So if we had to regulate this information to take on the whole base, there can be far fewer websites which are investing extra funds, much more corporations which are sitting tight, and perhaps fewer sites that are taking into consideration moving off the IBM i platform. I believe the distribution of facts is doubtless whatever thing like 10 % of retailers haven't any conception what they're doing investment shrewd with IBM this year, 5 p.c are brooding about moving some or all of their purposes to one other platform, possibly 10 percent are investing greater this yr, and the ultimate seventy five percent are sitting tight. this is only a bet, of route. so far as we are able to tell, the price of attrition – what number of sites we in fact lose each and every 12 months – just a tad over 1 %. So the cost of circulation of purposes off the platform, or incidences of unplugging IBM i databases and purposes, may also no longer be anyplace close as high in the common base as the statistics above suggests. what's alarming, most likely, is that the expense of relocating some or all purposes off the platform is balanced towards folks that say they're going to enhance investments. perhaps these are hopeful survey takers, and those who consider it's handy to movement find it isn't and those who feel they'll locate the cash to make investments will now not.

What we do understand is that if the price of software attrition turned into anywhere near as high as these surveys indicate, then the IBM i business would now not be transforming into, but shrinking. And we realize it is not shrinking, so we believe there's a disconnect between planning and fact, each on the upside and the draw back.

if you drill down into the records for the 2019 IBM i marketplace Survey, there were 13 % of outlets that said they might be moving some purposes to a new platform, and a different 9 p.c that mentioned they had been going to move all of their purposes off IBM i. (This number is in keeping with the fresh ALL400s survey carried out through John Rockwell.)

Anyway, respectable good fortune with that.

Porting functions from one platform to an additional, of purchasing a brand new suite on that new platform, is an enormously elaborate assignment. It is not like making an attempt to change a tire while driving down the road, as is a typical metaphor, however somewhat like making an attempt to take the tire off one vehicle moving down the dual carriageway and setting up it on an additional car riding beside it within the adjoining lane devoid of crashing either car or smashing into any person else on the street. Optimism abounds, but when push involves shove, only a few businesses are trying the sort of maneuver, and once they do, it is usually as a result of there is a corporate mandate, extra instances than no longer caused by a merger or acquisition, that pits another platform towards IBM i working on vigour methods. companies that say they are making any such movement off IBM i are sanguine for his or her own very own explanations, perhaps, however they aren't always functional about how lengthy it may take, what disruption it's going to can charge, and what surest improvement, if any, may be realized.

if you do the maths on the chart above, eight-tenths of the base has no idea how lengthy a circulation will take, an extra 1.7 p.c thinks it's going to take more than five years, and three percent say it's going to take between two years and five years. simplest 3.4 percent of the overall base say they can do it in below two years. We feel all of those numbers are optimistic, and the corporations who might readily go away OS/400 and IBM i already did a long time in the past and people that are remain have a harder time, not a less complicated time, moving. If this had been not true, the IBM i base would be a hell of an awful lot smaller than the a hundred and twenty,000 shoppers we believe are obtainable, in response to what big Blue has instructed us in the past. here is the difference between worry or pressure or lifestyle and the reality of trying to stream a company off one platform and onto a further. These strikes are all the time plenty harder than they seem on the front conclusion, and we suspect most of the benefits also don’t materialize for those that do bounce platforms.

on the ordinary attrition expense counseled by using this survey statistics – 9 p.c circulate off the platform in somewhere between three hundred and sixty five days and greater than five years, with most companies no longer being able to see more than 5 years into the long run it is a neat trick – the installed base would cut back dramatically. it is complicated to assert how some distance because of the big selection of timeframes in the survey. If it changed into 9 percent of the base within two years – call it 4.5 percent of the base per 12 months – then within a decade the normal base would shrink from 120,000 IBM i websites global down to about seventy two,000. this is able to dramatic indeed. however at a 1 % attrition price per year, the bottom is still at 107,500 wonderful clients (not sites and never installed machines, each of that are higher) with the aid of 2029. We think there's each opportunity that the attrition price will in reality gradual and drop underneath 1 percent as IBM demonstrates commitment to the power programs platform and its IBM i working equipment. There are at all times some new shoppers being brought in new markets, to make certain, however the bleed fee (in spite of the fact that it is small) remains doubtless an order of magnitude bigger than the feed rate.

after they do consider about making the stream, IBM i stores understand precisely the place they want to go, and this answer has been progressively changing through the years: Linux as a substitute for IBM i is on the rise and home windows Server as an choice is on the wane. within the latest survey, 52 % of the corporations that spoke of they were relocating all or a few of their functions to yet another platform stated they have been picking home windows Server, whereas 34 p.c selected Linux. This reflects the relative recognition of windows Server and Linux in the datacenters of the area at significant, and may be tipped simply a bit extra heavily in opposition t Linux compared to the relaxation of the world. apparently, 10 % of these polled who referred to they had been relocating were taking a look at AIX structures, and an extra four % were going upscale to device z mainframes – as unlikely as this may additionally look. systems are likely to roll downhill; they do not usually defy gravity like that.

The component about such surveys is that they exhibit intent, now not action. We often intend to do a lot more than we in fact can accomplish, and moving systems after spending decades of increase skills isn't constantly a extremely wise circulation unless the platform is in real challenge – just like the Itanium programs from Hewlett Packard commercial enterprise operating OpenVMS or HP-UX or the HP 3000s working MPE or the Sparc programs from Oracle working Solaris. These have been once awesome systems with massive installed bases and gigantic revenue streams, but now, IBM is the ultimate of these Unix and proprietary structures with its power techniques line. And it is through far the largest and for bound the only 1 showing any increase.

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The IBM i Base Is able to circulate On Up

funding And Integration indicators For IBM i

protection nonetheless Dominates IBM i dialogue, HelpSystems’ 2018 Survey exhibits

The IBM i Base not As Jumpy as it Has Been

The Feeds And Speeds Of The IBM i Base

IBM i Priorities For 2017: Pivot To defense

IBM i developments, considerations, And Observations

IBM i Survey gets enhanced As Numbers develop

where Do those IBM i Machines Work?

finding IBM i: A online game Of forty Questions

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IBM i industry Survey: The significance Of Being Earnest

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IBM Unveils World's First integrated Quantum Computing system for commercial Use | Real Questions and Pass4sure dumps

IBM to Open Quantum Computation center for industrial valued clientele in Poughkeepsie, big apple

YORKTOWN HEIGHTS, N.Y., Jan. 8, 2019 /PRNewswire/ -- at the 2019 purchaser Electronics display (CES), IBM (NYSE: IBM) nowadays unveiled IBM Q equipment One™, the world's first integrated conventional approximate quantum computing equipment designed for scientific and industrial use. IBM additionally introduced plans to open its first IBM Q Quantum Computation core for industrial customers in Poughkeepsie, big apple in 2019.

IBM Q techniques are designed to someday tackle issues that are presently seen as too complicated and exponential in nature for classical methods to handle. Future functions of quantum computing might also consist of discovering new how to model fiscal records and keeping apart key world risk factors to make superior investments, or finding the most reliable path throughout world methods for ultra-productive logistics and optimizing fleet operations for deliveries.

Designed by IBM scientists, techniques engineers and industrial designers, IBM Q equipment One has an advanced, modular and compact design optimized for balance, reliability and continual industrial use. For the primary time ever, IBM Q device One allows for normal approximate superconducting quantum computers to function past the confines of the research lab.

a great deal as classical computer systems mix varied components into an integrated architecture optimized to work collectively, IBM is making use of the identical approach to quantum computing with the primary integrated common quantum computing device. IBM Q equipment One is constituted of a number of custom add-ons that work together to serve because the most superior cloud-primarily based quantum computing application obtainable, together with:

  • Quantum hardware designed to be sturdy and auto-calibrated to give repeatable and predictable first-rate qubits;
  • Cryogenic engineering that supplies a continuous cold and isolated quantum atmosphere;
  • high precision electronics in compact form elements to tightly manage gigantic numbers of qubits;
  • Quantum firmware to manage the equipment health and permit device improvements with out downtime for users; and
  • Classical computation to deliver relaxed cloud access and hybrid execution of quantum algorithms.
  • The IBM Q Quantum Computation center

    The IBM Q Quantum Computation core opening later this yr in Poughkeepsie, long island, will extend the IBM Q network industrial quantum computing program, which already includes programs on the Thomas J. Watson analysis center in Yorktown, new york. This new core will residence one of the world's most advanced cloud-based mostly quantum computing techniques, which might be purchasable to individuals of the IBM Q network, a world community of leading Fortune 500 agencies, startups, tutorial associations, and countrywide analysis labs working with IBM to strengthen quantum computing and discover useful applications for business and science.

    IBM Poughkeepsie's interesting history in computing stretches returned to the construction of IBM's first line of production enterprise computers in the 1950s, the IBM 700 series, and the IBM equipment/360 in the 1960s, which revolutionized the area by means of altering the way agencies concept about laptop hardware. Now domestic to probably the most world's most-powerful classical equipment, the IBM mainframe, IBM Poughkeepsie is located to be one of the few areas on this planet with the technical capabilities, infrastructure and knowledge to run a quantum computation middle, including access to high efficiency computing techniques and a excessive availability data middle vital to work alongside quantum computer systems.

    "The IBM Q equipment One is a big step ahead in the commercialization of quantum computing," said Arvind Krishna, senior vp of Hybrid Cloud and director of IBM research. "This new system is crucial in expanding quantum computing past the walls of the research lab as we work to enhance useful quantum purposes for enterprise and science."

    Designing a first: IBM Q device One

    IBM assembled an international-classification team of commercial designers, architects, and manufacturers to work alongside IBM research scientists and techniques engineers to design IBM Q device One, together with UK industrial and indoors design studios Map task office and popular Design Studio, and Goppion, a Milan-based mostly company of excessive-conclusion museum screen situations that protect one of the vital world's Most worthy paintings together with the Mona Lisa on the Louvre, and the Crown Jewels at the Tower of London.

    together these collaborators designed the first quantum gadget to consolidate hundreds of accessories into a tumbler-enclosed, air-tight environment developed specially for enterprise use, a milestone in the evolution of business quantum computers.

    This built-in equipment goals to tackle one of the vital difficult elements of quantum computing: continually keeping the best of qubits used to operate quantum computations. potent yet delicate, qubits right away lose their special quantum houses, usually inside one hundred microseconds (for state-of-the-artwork superconducting qubits), due partly to the interconnected equipment's ambient noise of vibrations, temperature fluctuations, and electromagnetic waves. insurance policy from this interference is one in every of many the reason why quantum computer systems and their components require cautious engineering and isolation.

    Story continues

    The design of IBM Q gadget One includes a nine-foot-tall, 9-foot-vast case of half-inch thick borosilicate glass forming a sealed, hermetic enclosure that opens readily the use of "roto-translation," a motor-driven rotation round two displaced axes engineered to simplify the system's maintenance and upgrade manner while minimizing downtime – an extra inventive trait that makes the IBM Q system One perfect to reliable commercial use.

    A collection of impartial aluminum and steel frames unify, but also decouple the gadget's cryostat, manage electronics, and exterior casing, assisting to evade skills vibration interference that ends up in "part jitter" and qubit decoherence.  

    a duplicate of IBM Q system One can be on screen at CES. For more tips discuss with, here.

    This new gadget marks the next evolution of IBM Q, the industry's first effort to introduce the public to programmable popular quantum computing through the cloud-based mostly IBM Q journey, and the business IBM Q network platform for business and science applications. The free and publicly attainable IBM Q event has been continuously operating since may of 2016 and now boasts greater than 100,000 clients, who've run more than 6.7 million experiments and posted greater than one hundred thirty third-birthday celebration analysis papers. developers have additionally downloaded Qiskit, a full-stack, open-source quantum application development equipment, greater than 140,000 times to create and run quantum computing classes. The IBM Q network comprises the recent additions of Argonne countrywide Laboratory, CERN, ExxonMobil, Fermilab, and Lawrence Berkeley national Laboratory.

    About IBM Q

    IBM Q is an trade-first initiative to build business established quantum methods for company and science functions. For extra suggestions about IBM's quantum computing efforts, please consult with 

    IBM Q community™, IBM Q system One™, and IBM Q™ are trademarks of foreign enterprise Machines business enterprise.

    Media Contact:Chris NayIBM research 720-349-2032

    View photographs

    A rendering of IBM Q device One, the realm's first entirely built-in established quantum computing gadget, at present installed on the Thomas J Watson analysis core in Yorktown Heights, long island, where IBM scientists are using it to explore equipment advancements and enhancements that speed up commercial purposes of this transformational know-how. For the primary time ever, IBM Q device One makes it possible for quantum computers to operate beyond the confines of the research lab.


    View photographs

    IBM service provider emblem. (PRNewsFoto/IBM corporation) (PRNewsFoto/) (PRNewsfoto/IBM)


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    The 15-point DevOps Check List | real questions and Pass4sure dumps

    Communication Culture & Global Thinking

    When working together on the same products, communication is bound in achieve better results and reach valued goals. DevOps is mainly a culture of communication and cross-functional collaboration. Individuals and departments could speak in different professional languages, which creates different types of communication types like it is the case between developers and operation teams. Every team has its own goals, operation engineers seek stability, while developers tend to make changes that may affect the stability in some cases. This is not just the case for developers and operation engineers, every department in a non-DevOps environment has its own goals and give almost 100% of the effort and the time to achieve it.

    Obviously, with different goals, different responsibilities, and different professional languages, communication becomes difficult. From that point departments will throw responsibilities of problems that they either create or encounter.

    Being rigid in setting goals for each department is not a good idea in many cases. Having common goals, goals shared between departments and make managers, executives and all members of a team aware of the fact that there are common goals can reduce this gap between two or more teams.

    Setting up departmental and local goals brings up the “not-my-job” problem where each department throw responsibilities on another one while establishing common and global goals encourage people to work together.

    The following hacks could help your organization to ameliorate communication:

    Motivate through Gamification

    Gamification is a good way to keep your team motivated while playing.

    When I used to use Hipchat, I integrated several chatbots but the one that I like the most is the Karma bot: everyone in my team instead of saying “Thank you”, can give one or several karma points to another colleague.

    This is somehow a kind of building a symbolic “meritocracy”. The GNOME Foundation, Apache Software Foundation, Mozilla Foundation, and The Document Foundation are examples of (open source) organizations that officially claim to be meritocracies.

    You can find other tools that could help in the gamification of workspaces and the daily professional life like Game Effective to gamify sales, customer service, and employee training.

    The Smiley Board

    At the end of each workday, everyone is required to draw a picture of their face in one of three modes:

  • Happy face
  • Blah face
  • Sad face
  • The Smiley Board is also called the Niko-Niko Calendar (or Smiley Calendar). It is a Japanese creation where each member shall put a smile on his own schedule at the end of the day, before leaving the office. This gives a view of the well-being and motivation of each member of the project.

    Open & shared spaces

    Open spaces arranged in the right way are a key to valuable communications and collaboration.

    Chat Rooms

    Internal chat applications are widely used in many organizations, generally, chat rooms are specific to a team or a project. Adding chatbots in tools like Hipchat, Slack or any of their alternatives helps teams to communicate on several recurring events and being transparent and aware about:

  • Deployments
  • Incidents
  • Builds
  • Developers’ commit to the versioning server
  • In my company I have even set up bots to post daily motivational quotes, we have also some chat rooms where we talk about non-work related stuff.


    A hackathon, hackfest, codefest or hackday is an event in which individuals involved in software or hardware development, design, UX, project management, collaborate intensively on software/hardware projects. Hackathons tend to have a specific focus on technology, a theme or a project but some hackathons are open and participants have the full freedom. Hackathons are a great way to build communications and allow people from the same organization to work together and have the same goal. Internal Hackathons are also a way that some companies like Netflix, Facebook, Google, Microsoft, Hewlett Packard organize to promote new product innovation by the engineering staff. For example, Facebook’s Like button was conceived during a hackathon.

    Team building

    Or helping a team to make it more efficient in terms of operability, more cohesive, consistent in its results and competent. This type of accompaniment is particularly relevant when the professional situation is internally complex during a process of reorganization or profound change in the business, or when the situation is externally complex during a competitive pressure or a changing market. It helps the team to co-build the solution and develops their collective intelligence and autonomy.

    Playing Games

    Game playing is a good way to create good communication behavior. A good example is the Kanban simulation game simulates variable workflow for a SaaS company The getKanban Board Game is a physical game designed to teach the concepts and mechanics of Kanban for software development in a class or workshop setting.

    Outlets, group outing, Friday drinks

    The first principles of programming | real questions and Pass4sure dumps

    I recently wrote a 80-page guide to how to get a programming job without a degree, curated from my experience helping students do just that at a leading data science bootcamp. This excerpt is a part where I focus on getting all the way to the first principles of programming, a skeleton that will help you learn more effectively. This is the approach to learning that Elon Musk favors — and it’s something that can help you get back to the foundation of learning programming effectively. 

    1- Programming is about manipulating data

    At its core, programming is about moving data and playing with it. When you send login credentials to a web server, or when you get your profile picture loaded, that’s code sending data back and forth. If you can recognize that moving data is the foundation of programming, you can understand the basement from where you will build your house.

    2- Programming is like writing — you want to be as clear as possible

    When you’re writing code, you may think of it as an individual activity. Nothing could be further from the truth, despite every stereotype Hollywood has thrown at the programming archetype. When you’re programming, you’ll want to imagine that you’re writing for an audience. Programming is a collaborative activity, one that often involves working with close teammates or other collaborators.

    3- Know the different types of programming

    Do you think of programming as one generic blob or can you differentiate it into specialized parts? Saying that you want to be a programmer is a bit like saying you want to be an engineer — the devil can be in the details.

    We’ll go into more details about the broad technical paths you can take as a programmer in different paths later on, but for now, we can distinguish some broad differences.

    The largest difference in types of programming can be thought of as the difference between “front-end” and “back-end” programming. Front-end involves manipulating what a user sees directly: think of the interface you see when you log in to any web interface. The back-end is all of the magic that happens sight unseen — the way servers process your password and grant you access to all of your data.

    The different paradigms of programming

    There are also different types of programming paradigms: different ways to express logic, and different functionalities for each programming language that at an aggregate level, can be summed up into categorical differences.

    Here is an overview of the major paradigms in programming:

  • Declarative. Declarative programming is very simple and plain. It expresses the logic of a particular computation without specifying its flow. The easiest way to think about it is a programming language that declares what task is being done rather than how it should be done. Examples of this include programming languages like SQL, whose syntax is focused on explicitly specifying exactly what you want as opposed to specifying how it’s done (ex: the SELECT command which selects data). The underlying steps behind the SELECT query do not have to be explicitly defined for the machine to act upon its underlying logic.
  • Imperative. Imperative programming focuses on how a task is being done rather than what is being done, unlike the declarative model. Much like how in the imperative mode of language where commands are given, the imperative programming paradigm describes to machines how they should carry out a task. Imperative languages include languages such as Java, JavaScript, and Ruby, though all of them also have object-oriented logic as well — and most of them are multi-paradigm languages that are compatible with a variety of programming paradigms.
  • Functional. Functional programming is based on mathematical functions. While here too, commands are meant to specify how routines are carried out rather than what routines are carried out, unlike in the imperative paradigm, the state of a current program cannot be affected incidentally: what this means in practice is that you can have functions without return calls, since the program state will remain constant. Functional programming is emphasized in academia with languages such as Lisp and Clojure prominently supporting functional programming as a paradigm.
  • Object-oriented. The dominant programming paradigm since the 1980s, object-oriented programming involves building objects with data attributes and programming subroutines known as methods which can then, in turn, be invoked or modified. Languages such as Java, Python, C, C++, PHP, and Ruby are all principally object-oriented. Critically, unlike imperative or functional programming, the concept of inheritance and code reusability are firmly entrenched in programming objects which can persist either as classes (the definition of how a set of objects is defined, and what data they can carry) or objects themselves (which often correspond to real-world objects and a collection of attributes associated with them).
  • There are also programming paradigms, mostly a bit outdated or a bit theoretical, that revolve around procedural programming, logic programming, and symbolic programming. Research those if you have the time, and compare and contrast!  

    4- Programming is about forced simplicity

    Simple is better than complex.Complex is better than complicated.Flat is better than nested.Sparse is better than dense.

    -The Zen of Python

    One of the founding principles of effective programming is a sort of forced simplicity that becomes natural with time and iteration. Perhaps perfectly summarized in the Zen of Python, simple is better than complex — and complex is better than complicated. Much like good writing, which sometimes requires focusing on the right ideas and cutting out as many unnecessary words as possible, good programming means keeping the underlying logic expressed simply so that it can be readable to others and perhaps most importantly, your future self!

    5- Small efficiencies lead to large gains

    When you’re dealing with a machine that can perform complex operations in a matter of seconds or sometimes microseconds, it can be hard to comprehend from a human perspective exactly how to manage the efficiency of such a system. Humans are notoriously bad at exponential thinking and programming depends upon that very strand of thought. A few microseconds of difference in one operation can mean a difference of thousands of hours when extended to a chain of operations that extends past the trillions.

    There are three concepts here that can help you manage that complexity.

    Time complexity

    Become familiar with the concept of time complexity in programming and specifically big O notation. Put simply, Big O notation maps out a pattern of how an algorithm will respond to a given set of inputs.

    O(1) algorithms react the same regardless of what input size they’re fed. You could input one value or a trillion: — it doesn’t matter, the algorithm will process at the same time. A common example of this is the return or print algorithm in most programming languages.

    O(N) algorithms react linearly to the inputs they’re given.  A million data points? Expect it to run a million times slower than with just one.

    O(N2) algorithms react exponentially to the inputs they’re given. Every input gets squared as it’s processed. Think of an algorithm that has to look over data twice on each iteration. With a dataset that’s twice as large as another, you’ll quickly see an exponential burst of time when it comes to how slowly that algorithm is going to deal with different sized datasets.

    This goes on in a variety of configurations: this tutorial has a fuller list and a more comprehensive explanation. The takeaway is that you should always strive to use algorithms that scale as linearly as possible, otherwise large datasets will become unmanageable.


    One of the greatest things about programming is the ability to extend logic that has been saved before. You don’t have to reinvent the wheel each time: if you’ve built a component that works, you can call upon it at any time.

    This simple concept of having pieces of code saved that can be called upon like a mix of components is called modularity, and it is an essential time-saving device for individual projects. Modularity also allows you to save time in collaboration. You can work with different people on a complex problem and work on a single piece then have your module interact with those built by others to form a larger solution.

    Grasping the nuances of how to make your programs modular will not only save you time, it will make your programs stronger and more readable, and less dependent on large blocks of code that can prove to be riddled with bugs.


    Use shortcuts whenever you can! Programming efficiently involves putting your thoughts and logic into machine form as quickly as possible. This table of keyboard shortcuts will help you speed yourself up. Games such as TypeRacer will help you improve your words per minute count when it comes to typing, allowing you to transfer your thoughts more quickly into code.

    Mastery of shortcuts will allow you to build things quicker and see results sooner rather than later.

    6- Practice makes perfect

    It’s often said that there are two ways the human mind views growth: either the fixed mentality or the growth mentality. In the fixed mentality, human growth is a function of destiny: no matter how hard you try, you can never grow beyond what innate factors have prescribed for you. The growth mentality is the total opposite of the fixed mentality: here, your growth is only limited by time and your will to do something great.

    Nobody is naturally born a better programmer than somebody else. You have to work hard and put in the hours if you want to improve your programming skills.

    This extends to programming interviews, a necessary evil. The bar is much higher in those than the normal conditions you’ll have gotten used to: ample time and plenty of resources such as StackOverflow to help you along the way (more on that later). A programming interview is designed to stress test you. You’ll have to get used to practicing a form of programming under constraints, both natural and artificial: do timed sets of problem-solving, and rely on nothing more than paper to sketch out a few algorithms.

    7- Create programs that are flexible to different needs.

    One of the largest difficulties in programming is the need to create things that can flex and which don’t break even under what are called “corner cases”: different uses of your software that may challenge the extreme limits of the variables you’ve set. The easiest corner case to think of is an app that has gotten very popular and must support thousands of users at once. Even the most elegantly crafted code will begin to strain as that happens.

    8- Build useful things. Have empathy and understand the problems of your users.

    Most people forget that technology isn’t just a skill to use for fun. Technology is a means to an end. Don’t forget that you’re not building for the sake of building: you’re building for an end user or to solve a meaningful problem that cannot be addressed without technology. Know when to build something with code, and know when you don’t have to.

    If somebody has already built the wheel, there’s no need to reinvent it. Plenty of people have built solutions to address how to store sales contacts — but are there problems out there that remain unseen? Tons! And each could be the foundation for a successful project.  

    Build useful things with your programming skills. It’s the best way to use your skills for good and to highlight them to others.

    Now, what does useful mean? That’s the crux of the problem. In a world filled with apps for every possible luxury and consumer need, it can be hard to see exactly what useful means. In this context, it is important to practice empathy and to diagnose real problems that can be helped with technological solutions. This, notably, does not have to be confined to problems that can be solved for profit. There is much room for technology for social good initiatives or for technologists to solve social problems. This case study of data science work for international development/basic income charity GiveDirectly provides a great example.

    In order to become the most impactful technologist possible, it’s important to understand what problems people have — it’s important to know when and how to ask the right questions, how to listen and to uncover the underlying problems everyday people face. With the right amount of empathy and perspective, you can build maximally useful things that help solve problems for others.

    9Take advantage of as many resources as possible, and give back when you can

    Go onto communities such as Hacker News and Quora. Look up questions on StackOverflow — and even ask a few yourself if you’re stuck on anything! Look up awesome Github repositories that contain all of the resources you’d need to learn one particular topic: see, for example, Awesome Python for a list of curated resources in the Python space.

    And don’t be afraid of failure. You’ll be learning along the way, practicing your skills and becoming better with every passing day regardless of the outcome.

    Want more material like this? Check out my guide to how to get a programming job without a degree.

    This post is part of our contributor series. The views expressed are the author's own and not necessarily shared by TNW.

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    IBM 000-M09 Exam (Workplace Forms Technical Sales Mastery Test v1) Detailed Information


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