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C2020-002 - IBM Algo Financial Modeler Developer Fundamentals - Dump Information

Vendor : IBM
Exam Code : C2020-002
Exam Name : IBM Algo Financial Modeler Developer Fundamentals
Questions and Answers : 60 Q & A
Updated On : April 17, 2019
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C2020-002 Questions and Answers

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C2020-002 IBM Algo Financial Modeler Developer Fundamentals

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C2020-002 exam Dumps Source : IBM Algo Financial Modeler Developer Fundamentals

Test Code : C2020-002
Test Name : IBM Algo Financial Modeler Developer Fundamentals
Vendor Name : IBM
Q&A : 60 Real Questions

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IBM IBM Algo Financial Modeler

IBM believe they can predict your personnel’ departure. Eight things make sure to do next | killexams.com Real Questions and Pass4sure dumps

except you have got a robust lifestyle of trust with high know-how adoption then your employees may be very cautious at most useful

by using Contributor 17 Apr 2019

IBM hit the news this week when their CEO Ginny Rometty announced in an interview that they have got developed an AI device that can predict with ninety five% accuracy when employees are likely to leave.

The tech massive, which personnel 350,000 individuals globally, claims that this has helped them keep $300m that the departures would in any other case have cost them.

Many organisations were pushing similar tools for a while, but few have made such bold and particular claims concerning the accuracy and fiscal have an impact on as Rometty this week did.

The implications for employers are big, and the story picks up on many of the seductive guarantees made by AI proponents; it means that computers can give you wealthy insights into the mystery of human behaviour, they can do this in enhance and more desirable than that you may, and that they can give you the tools to behave on this, trade the long run and save a lot of money in the manner.

So how should leaders respond? There are eight things be sure to believe about to assist you come to a decision even if or now not to pick up the phone to Rometty and ebook a meeting.

embrace the technologyIt seems like we may well be entering Minority file-vogue territory right here, with computers predicting what your employees can do earlier than they understand it themselves, and that may look barely credible. but the first issue you should definitely do is settle for that this expertise is, if now not here, then just around the nook.

IBM can be one of the most first to market predictive know-how during this enviornment, nevertheless it will soon turn into average. It’s over two years given that fb printed they can tell in case you fall in love and seven considering target noticed a teenage being pregnant before the woman’s father did.

It’s hence inevitable that tools to foretell employee turnover will develop into common and pretending otherwise isn't an alternative. start brooding about this now.

understand IBM are promoting somethingIBM is a serious company with a protracted music record of know-how-driven innovation, so it’s not fantastic that they might boost a ground-breaking device like this.

however they're also seeking to sell you anything. Rometty talks in regards to the impact IBM has seen internally when the use of this device in preference to brazenly advertising it, but trust why they’re talking about this publicly at all. IBM is not an academic physique with an neutral interest in AI research; their brand and commercial success – their ongoing existence - are built on making money from AI and that’s why you’re hearing about it.

That doesn’t mean, of path, that the product does not work or their claims are false. but it surely does imply you should be aware where they’re coming from when the cell rings and that they are looking to speak.

take into account the algorithmIBM are cagey concerning the detail at the back of the algorithm that they have developed, saying simplest that “its success comes through analyzing many records facets.”

That’s a superbly understandable response from an organization with proprietary expertise, however it’s completely unacceptable for you if you’re planning on the usage of this together with your employees. when you are going to make use of AI to notify selections about the way to control retention chance then you definately should be confident that the analysis, assumptions and data used are effective. Trusting a 3rd celebration to try this with out understanding how they do is an abrogation of responsibility.

no longer simplest that, however risks opening a legal minefield in case you can’t show transparency and objectivity in the back of your movements, and raises moral questions too; if you're basing decisions on predictions from algorithms owned through a further firm then who on your company is taking accountability for the way you manage your americans?

have faith for your dataThose “many facts points” that IBM analyse: how correct are they? there's a whole lot of analysis to demonstrate that performance ratings are wildly subjective, and a lot of HR programs produce other data – profession history, job titles, demographic records - that is just undeniable wrong .

It’s doubtful what information points IBM use, but if you’re going to beginning using a number records to make predictions about employee behaviour then you definitely should be very bound that this records is accurate. That potential having procedures and governance in place to make certain that the statistics is confirmed to be mighty, it is stored, updated and audited continually, and it is securely managed. 

understand the talents for abuseRometty describes how IBM use retention insights to trigger proactive conversations and tackle the considerations that might otherwise have resulted in departures, and that is undeniably a fine element.

but it surely is not problematic to imagine how these insights can be misused. You comprehend, as an instance, that somebody is pondering leaving; how does that impact the bonus, advertising or profession opportunity that you could in any other case have given them? Why would you reward a person who's evidently now not as dedicated as they may well be?

Or they should be would becould very well be a superb performer however their manager simply doesn’t like them; in all probability as opposed to are attempting and make them reside, the manager may turn up the power, understanding that a little nudge is all that’s vital to make them soar.

if you are going to make use of AI insights to exchange worker behaviour then you need very clear governance and oversight to make sure that you do so correctly.

be certain your managers are geared up to behave on the insightsMany individuals managers already combat to have a superior discussion with personnel about efficiency and development. if you are expecting them to be in a position to proactively focus on even if they are thinking about leaving, why that might be, and what each parties can do to evade it, then you definately’re elevating the bar vastly when it comes to the degree of interpersonal advantage you’re expecting them to screen.

There are three issues that you simply need to do very smartly for this to work: make certain your managers consider and may clarify exactly how the AI works. this is essential in the event that they are to believe within the insights and can flow that self assurance on to the employee.

Empower your managers to grasp what levers they could pull to affect the employee choice; should they offer extra cash or aiding individuals to trade roles? How should they decide how essential the employee is? At what element may still they decide the trouble to hold outweighs the possibility of departure? there are lots of variables to agree with, and you should be certain your managers can do this conveniently and constantly.

ultimately, you deserve to appoint, teach and reward your manages for their interpersonal advantage. That should occur anyway, however here is a new and intensely particular circumstance that you just’re anticipating them to deal with. The behavioural talents worried – empathy, listening, constructing have faith, openness – are primary for any decent supervisor, however the context is wonderful and you want new working towards and guidance for your managers to be able to address this.

Reassure your employeesHow will your personnel react in case you announce you’re rolling out this utility? that you may doubtless guess, however it’s fair to assert there may be high levels of nervousness. in spite of the fact that they buy into the intention and validity of the device, individuals will inevitably speculate about what comes next – AI telling managers who to hearth? Being managed with the aid of robots?

until you already have a very strong subculture of have confidence and transparency with excessive technology adoption then your personnel could be very cautious at most appropriate.

This potential in view that your present culture and employee relations earlier than adopting this type of technology. It also ability complete openness and transparency with body of workers about how it works and the way it'll (and received’t) be used. And depending on employee (and union) reactions, it skill realizing the dangers worried may still mistakes ensue: you probably have fractious industrial family members, as an example, the reputational and criminal risks may well be tremendous.

What can you do devoid of IBM?ultimately, believe about this: IBM are the use of data facets that you simply surely have already got to predict the behaviour of individuals who already give you the results you want.

This capability that you should well-nigh certainly be doing greater than you already are to identify knowledge retention dangers and proactively control them. before you put money into new utility to predict employee departures, ask your self in case you’re actually investing in technology to do whatever thing that you simply and your managers should be doing as a core a part of their jobs.

That’s exactly what you are doing in case you adopt this, so agree with whether IBM are really assisting you solve the underlying issue – you’re not speaking competently along with your americans – and even if there's a stronger solution.

IBM are portray a picture of an exciting new future. it will possibly now not be here yet, but you deserve to beginning considering now about how you will equip your enterprise and the people in it to profit from this new know-how. Burying your head within the sand isn't an option, however neither is leaping on board and implementing with out entirely and carefully considering through the entire implications.

Murray Priestman may be facilitating the upcoming HR Summit Melbourne. To register, click right here.

Priestman is the predominant of Priestman friends, a consultancy working with purchasers to build management, subculture and performance.

IBM inventory Is On Its last Legs — sell, sell, sell! | killexams.com Real Questions and Pass4sure dumps

It’s been a curler-coaster ride for shares of international company Machines (NYSE:IBM) over the past a couple of months. In late 2018, amid a broader market selloff, IBM stock dropped to close-decade lows below $a hundred and ten, after falling more than 30% over the direction of two months. however at $a hundred and ten, IBM inventory changed into with ease a ways too undervalued. as a result, as broader financial markets have rebounded in 2019 amid stabilizing economic fundamentals, IBM stock has rallied, too. 12 months-to-date, IBM inventory is up 25%.

IBM stock Is On Its last Legs -- promote, promote, promote!


supply: Shutterstock

For IBM stock, that’s a large rally. here is a stock that has been caught in a consistent downtrend for the previous five years. As such, this 12 months’s 29% rally is actually one of the vital biggest rallies that IBM stock has staged in the ultimate a couple of years.

The overriding query now: can it closing?

InvestorPlace - inventory Market news, stock information & trading assistance

I’m no longer satisfied. i used to be bullish on IBM inventory in late 2018 given that the valuation became out of whack with fundamentals. mainly, you had a stock trading at multi-year low valuation levels with a multi-yr high yield. This dynamic passed off amid enhancing fundamentals which implied that profit boom turned into going to come back to the picture. today, the fundamentals are nonetheless enhancing, and this enterprise looks due for constant earnings growth over the next a number of years. however the existing valuation as it should be displays that growth outlook, so further upside is proscribed.

subsequently, this fantastic 2019 rally in IBM stock appears to be on its last legs. Late-2018 buyers may are looking to do some earnings taking here in early 2019.

The Outlook Continues to enrich

The story at IBM has been fairly unhealthy for several years. salary growth has been consistently terrible as the business became sluggish to pivot to the AI, cloud, and facts markets. moreover, it has consequently been losing share in its legacy IT enterprise. Margins have at the same time as dropped amid stiffer competitors in this space. gains were falling. IBM stock has been falling, too.

however there have been signals of gradual growth over the past a number of quarters.

peculiarly, the company has persevered to push extra aggressively into the cloud and AI markets. because of this, powerful increase in these new organizations has mostly offset declines within the legacy IT section. profits boom rates have better. final year, steady forex-adjusted earnings boom changed into flat year-over-12 months for the primary time on account that 2012. in the meantime, because of these stabilizing revenue developments, margins have stabilized. Plus, pre-tax income margins have been hugging the 17.5% level for 3 consecutive years now, after a few consecutive years of big declines.

These improvements should still persist right through 2019, in most cases since the cloud and AI corporations continue to be on fireplace. Of notice in 2019, IBM has announced a wide-ranging AI collaboration project with food significant McCormick (NYSE:MKC), formed a new 5G cloud-tech undertaking with Vodafone (NASDAQ:VOD), and scored a large IT deal with Juniper Networks (NYSE:JNPR). IBM has additionally landed a $seven-hundred million IT contract with Spanish financial institution Banco Santander (NYSE:SAN).

by and large, then, it seems that IBM’s cloud and AI businesses remain on the right track. as long as this is still authentic, then IBM is placed to flip into fantastic earnings-increase territory quickly.

The Valuation displays truth

At this element in time, the valuation underlying IBM inventory totally accounts for renewed profits and earnings increase. for this reason, it doesn’t depart a lot room for nearer-term upside.

in the event you look at IBM, you've got a enterprise that gained’t develop by using lots over the next a couple of years. At most useful, amazing cloud growth and legacy IT market-share losses generally offset one a different. At most fulfilling, they produce tepid income increase of 0% to 1%. meanwhile, margins should still improve as revenue declines become income increase. but such advancements could be generally mitigated by means of competition within the broader IT market.

Story continues

due to this fact, IBM initiatives as a slow income grower with mild margin growth potential over the next a number of years. Modeling that out, I believe IBM can do about $15 in income per share via fiscal 2025. IBM stock’s trailing five-yr general, forward cost-to-earnings assorted is 10. but, over the last 5 years, revenues and margins were in free fall. Over the next five years, they may still upward thrust, albeit slowly.

As such, IBM inventory deserves greater than its historic average 10x ahead distinctive, but lower than the market ordinary sixteen forward distinct. the use of the midpoint of those two metrics, an inexpensive fiscal 2024 rate goal of IBM stock is $195. Discounted returned via 6% per 12 months (4 features under my general 10% bargain price to account for the yield), that equates to a fiscal 2019 cost target of just over $145.

That’s roughly where IBM inventory trades today. for this reason, upside over the subsequent several months looks restrained.

base line on IBM inventory

In late 2018, IBM stock fell into deeply undervalued territory. That became the time to buy. Now, the inventory has rallied more than 30% off these lows, and IBM inventory is now in relatively valued territory. As such, late-2018 dip consumers may additionally turn into early 2019 rally agents. That’s a true chance for the inventory going forward.

As of this writing, Luke Lango didn't hold a place in any of the aforementioned securities.

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Digital Asset’s wise Contract Language Now Works on Hyperledger Blockchains | killexams.com Real Questions and Pass4sure dumps

business blockchain company Digital Asset is integrating its wise contract modeling language into the Hyperledger Sawtooth framework.

announced Tuesday, this is the first melding of code between a project below the umbrella of the 200-member Hyperledger consortium and DA’s Digital Asset Modelling Language (DAML), opening up the latter to a much broader range of industries and potential business valued clientele. 

The news additionally marks the third DA partnership considering the fact that DAML grew to become open source past this month. ultimate week, DA introduced the language could be built-in into the blockchain platform of Dell computing device-controlled software enormous VMware, in addition to highlighting work being done with the overseas Swaps and Derivatives affiliation (ISDA) to deliver DA utility within the ambit of ISDA’s typical area model (CDM).

Dan O’Prey, CMO at Digital Asset, who's also chair of the Hyperledger advertising and marketing committee, said there are a few factors DA chose Sawtooth (contributed to Hyperledger by using Intel) as the first point of integration for DAML. 

O’Prey advised CoinDesk:

“Sawtooth has been getting a lot of traction in markets outdoor of what has initially been our core center of attention: monetary functions and principally market infrastructures. So this is a fine means for us to extend the reach of DAML into other industries.”

certainly, Sawtooth is the locus of pleasing initiatives reminiscent of Grid, announced ultimate yr, a deliver chain-concentrated effort being driven with the aid of food significant Cargill. extra greatly, Sawtooth is the second-greatest blockchain inside Hyperledger when it comes to developer firepower and business backing, after material, developed by using IBM. 

a further key reason is that DA has been working carefully with Blockchain expertise partners (BTP), which offers developers a simple-to-install and cloud-ready instance of Sawtooth by means of its blockchain management platform, Sextant.

In July of this year, BTP will offer an enhanced version of Sextant with DAML aid on Amazon web services (AWS), with different cloud providers quickly thereafter, stated O’Prey.

while Sawtooth is first for DAML, O’Prey referred to his enterprise is “having conversations with various others inside the Hyperledger framework and different platform providers.”

An evident subsequent step would be tying up with Hyperledger fabric and its leading platform associate, IBM.

“Our purpose is to get DAML as a long way and as huge as possible and obviously Hyperledger fabric has a extremely huge consumer base and neighborhood of developers around it. So definitely here's high up on the list of where we might like to see assist for DAML,” pointed out O’Prey.

Dan Middleton, chairman of Hyperledger’s technical guidance committee (TSC) and a Sawtooth maintainer, mentioned the DAML integration shows the importance of “modular architectures that allow for varied tasks to work together,” a key vision for Hyperledger and a design tenet of Sawtooth.

looking ahead to extra in the manner of integration partnerships within the coming weeks, DA has delivered a special “DAML Integration equipment” into its open source utility development package (SDK) to make it as easy as viable to carry DAML’s wise contract “rule engine” into different platforms.

As such, sensible contracts can be developed the use of common programming languages such as C++ or JavaScript; DAML is only for the smart contracts themselves, not the entire utility that runs on the ledger, defined, O’Prey, including:

“Our intention is to make it as self-carrier and easy as possible so that any person can integrate DAML into whatever thing DLT platform, blockchain platform, database, cloud carrier or even public chain sooner or later.”

probably the most famous avid gamers in the commercial enterprise blockchain niche, DA is in the method of replacing the Australian Securities alternate’s decades-ancient Clearing condominium electronic Subregister gadget (CHESS) – a multi-year project it received below former CEO Blythe Masters. Co-founder Yuval Rooz succeeded her closing month.

laptop code picture via Shutterstock

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Xilinx Launches the World's Fastest Data Center and AI Accelerator Cards | killexams.com real questions and Pass4sure dumps

SAN JOSE, Calif., Oct. 2, 2018 /PRNewswire/ -- Xilinx Developer Forum (XDF) – Xilinx, Inc. XLNX, +0.62% the leader in adaptive and intelligent computing, today launched Alveo, a portfolio of powerful accelerator cards designed to dramatically increase performance in industry-standard servers across cloud and on-premise data centers. With Alveo, customers can expect breakthrough performance improvement at low latency when running key data center applications like real-time machine learning inference as well as video processing, genomics, and data analytics, among others. The Alveo™ U200 and Alveo U250 are powered by the Xilinx® UltraScale+™ FPGA and are available now for production orders. And like all Xilinx technology, customers can reconfigure the hardware, enabling them to optimize for shifting workloads, new standards and updated algorithms without incurring replacement costs. 

Alveo accelerator cards deliver significant performance advantages over a broad set of applications. For machine learning, the Alveo U250 increases real-time inference throughput by 20X versus high-end CPUs, and more than 4X for sub-two-millisecond low-latency applications versus fixed-function accelerators like high-end GPUs*. Moreover, Alveo accelerator cards reduce latency by 3X versus GPUs, providing a significant advantage when running real-time inference applications.** And some applications like database search can be radically accelerated to deliver more than 90X, versus CPUs.***

Alveo is supported by an ecosystem of partners and OEMs who have developed and qualified key applications in AI/ML, video transcoding, data analytics, financial risk modeling, security, and genomics. Fourteen ecosystem partners have developed applications for immediate deployment.  They are Algo-Logic Systems Inc, Bigstream, BlackLynx Inc., CTAccel, Falcon Computing, Maxeler Technologies, Mipsology, NGCodec, Skreens, SumUp Analytics, Titan IC, Vitesse Data, VYUsync and Xelera Technologies. Additionally, top OEMs are collaborating with Xilinx to qualify multiple server SKUs with Alveo accelerator cards including Dell EMC, Fujitsu Limited and IBM with more to come.

"The launch of Alveo accelerator cards further advances Xilinx's transformation into a platform company, enabling a growing ecosystem of application partners that can now innovate faster than ever before," said Manish Muthal, vice president, data center, Xilinx. "We are seeing strong customer interest in Alveo accelerators and are delighted to partner with our application ecosystem to deliver production-deployable solutions based on Alveo to our customers."

OEM Quotes

"FPGA-based acceleration solutions in modern data centers are gaining popularity as accelerators that can be programmed and reprogrammed easily as users see fit," said Ravi Pendekanti, senior vice president, product management and marketing, Dell EMC Servers & Infrastructure Systems. "Our collaboration with Xilinx to create best-in-class acceleration solutions will benefit customers in a range of applications from video content streaming to risk management and financial services."

"Fujitsu congratulates Xilinx on the announcement of its new board level products and solutions.  With 5G use cases for applications such as autonomous driving, telemedicine, and virtual reality, the range of vRAN applications based on the COTS servers is expected to expand considerably in the future," said Mr. Masaki Taniguchi, vice president, deputy head of Network Products, Fujitsu Limited.  "Fujitsu Limited and Fujitsu Laboratories Ltd. have been collaborating with Xilinx to jointly validate 3X performance on critical software functions in the 4G vRAN system. Fujitsu looks forward to creating powerful solutions by combining its x86 servers and Xilinx adaptable acceleration boards."

"The launch of Xilinx's standard acceleration board products is an exciting addition to a rapidly emerging technology arena focused on fueling performance-hungry applications," said Keith McAuliffe, Vice President and Chief Technologist, Servers Global Business Unit, HPE. "We look forward to collaborating with Xilinx to bring their technology to market and enable our customers to create breakthrough business value."

"With the IBM Power Systems AC922 server, IBM has already demonstrated that we have the best platform for enterprise AI training," said Steve Sibley, vice president of IBM Cognitive Systems. "IBM sees inference as a key component of a complete, end-to-end AI platform, and POWER9's leadership I/O bandwidth for data movement makes it an ideal pairing with Xilinx's new Alveo U200 accelerator card to bring inference to the enterprise."

Xilinx® Alveo™ U200 and U250 accelerator cards are available today starting at $8,995 (USD) and can be purchased today. Alternatively, you can try it out first in the Nimbix cloud.

More details on Alveo and the full spec sheets are available on our website. The latest list of Alveo application developers is available on the application directory. For more information on Xilinx and its breakthrough technologies, please visit www.xilinx.com. Follow us on Twitter, LinkedIn, and Facebook.

About Xilinx

Xilinx develops highly flexible and adaptive processing platforms that enable rapid innovation across a variety of technologies – from the endpoint to the edge to the cloud. Xilinx is the inventor of the FPGA, hardware programmable SoCs and the ACAP, designed to deliver the most dynamic processor technology in the industry and enable the adaptable, intelligent and connected world of the future. For more information, visit www.xilinx.com.


*20x running GoogLeNet V1, Batch=1 | Alveo U250 vs Intel Xeon Platinum Skylake CPU (c5.18xlarge instance; 4x running GoogLeNet V1, Batch=1 | Alveo U250 vs Nvidia V100 GPU

**3x running CNN+BLSTM speech-to-text latency | Alveo U250 or U200 + Intel Xeon CPU E5-2686 v4 vs Nvidia P4 + Xeon CPU E5-2690 v4

***90x running RYFT Elasticsearch | Alveo vs EC2 C4.8xlarge instance

© Copyright 2018 Xilinx, Inc. Xilinx, the Xilinx logo, Alveo, Versal and other designated brands included herein are trademarks of Xilinx in the United States and other countries. All other trademarks are the property of their respective owners.

PR Contact:XilinxTara Simsmedia@xilinx.com

View original content to download multimedia:http://www.prnewswire.com/news-releases/xilinx-launches-the-worlds-fastest-data-center-and-ai-accelerator-cards-300722442.html

SOURCE Xilinx, Inc.

Copyright (C) 2018 PR Newswire. All rights reserved

How To Be a Superhero Software Developer, Agile or Not | killexams.com real questions and Pass4sure dumps

The Agile Architect

How To Be a Superhero Software Developer, Agile or Not

If you've seen any trailers for movies lately, you know that superheroes are the new hotness. In a blatant rip-off of the genre, our Agile Architect describes how to have your own secret origin as a super software developer.

  • By Mark Balbes
  • 06/14/2016
  • Everyone who knows me knows that I collect comic books. I've long passed the days when I was somewhat ashamed to admit that a grown man's favorite super-hero is The Green Lantern. Now I'm taking the next step and writing about them in my purportedly technical column. For those of you waiting for an agile angle to this, trust me. I'll get there. For those of you happy to read about comic books. Cool! So let's dive in.  

    There are two main aspects to comic book collecting: collecting as a financial investment and collecting for enjoyment. While there are many people like me who purchase and read comics for enjoyment, I am always amazed at the people who collect comics only for investment purposes. They don't even read the comics they buy. In fact, there is a relatively recent initiative in comic book collecting to "slab" comics. That is, to have their condition professionally graded, then entomb the comic book in a sealed, archive quality plastic sleeve with a certificate indicating the condition. At this point, the comic book becomes, to me at least, a worthless commodity to be sold or traded purely for its perceived value. In other words, its valuable because somebody else is willing to buy something that they also cannot read or enjoy.

    Many of these investors spend a boat-load of money buying the new hot book on the shelf. I've seen people purchase hundreds of copies of a single book, thinking that each copy would someday bring them a fortune. It doesn't.

    In truth, if you are truly interested in making money on comic books, you should gather up as much money as you possibly can and invest it in a few (or even one) near-perfect copy of an early issue of a well known character like Superman or Batman. If you can afford to purchase and hold onto a copy of Action Comics #1 from June 1938, the first appearance of Superman, you are bound to make money. If you buy 200 copies of anything on the shelf today at $3 to $5 dollars apiece, they will probably bring you 25 cents apiece in a few years, maybe $1 if you are lucky.

    But if you collect comic books because you like to read them, and you buy the things you like to read, every once in a while there's a gem that makes it into your collection before it becomes valuable.

    So how does this relate to software and agile? I've been working with a group of recent Ph.D. physicists who are interested in moving from academia into commercial software development. While they are extremely bright and have some advanced algorithm programming skills, it's gotten me thinking about how to succeed in the commercial software industry. And as you may have guessed, there's a parallel to comic book collecting and it boils down to this:

    You can spend a lot of time chasing after the latest hotness, but in the end, your ability to craft professional-grade software depends on the investment you've made in understanding the fundamentals and your enjoyment of the current state-of-the-art technology.

    That's it. Pretty simple.

    And now I'm going to run the risk of complicating it by trying to explain it.

    First of all, I did not say not to learn the new shiny hotness. Just like with comic book collecting, there will be new technologies that catch your interest, either because they are directly applicable to your work or just because. Go for it. Learn it. Learning new things expands your horizons and gives you new insights into your craft.

    But, just as there isn't enough time to read every comic book published each month,  we are long past the days when we can learn every new technology that comes out. You can certainly read about them and play with them at a superficial level, but there isn't enough time in the day to be an expert at everything. And if you try, you won't have the time to learn any of them well. Better to pick the ones that you need for your current projects or that you truly enjoy and learn them thoroughly.

    And it's a tough choice, because there are all kinds of cool things out there, ranging from the Internet of Things (IoT) on the edge of our networks to Big Data distributed through our data centers, from iOS and Android native apps to highly available Web services fronted by Angular, React or any number of other web frameworks, from noSQL databases to Raspberry Pi's, and so much more. Oh, and let's not forget the drones!

    And while you are learning the cool things, make sure you understand the fundamentals, the things that don't change based on which technology you are using at the moment.

    Here's a list of some things I think every commercial software developer should know, agile or not, in no particular order.

  • Conversational UML: The Unified Modeling Language is a standard way to express object-oriented ideas. I've been in too many design discussions with developers who don't know UML who struggle to express their ideas to others. And even if they do, the artifacts they leave behind, e.g. whiteboard drawings, are indecipherable to anyone that comes late to the discussion. With UML, anyone can walk up to a diagram and understand its intent. Now, I'm not suggesting spending huge amounts of time learning all the nuances of UML. That's why I call this conversational UML. Just like any language, you need to know enough to express yourself. The UML is there to facilitate the conversations, not to replace it.
  • Design Patterns: The book "Design Patterns: Elements of Reusable Object-Oriented Software" by Gamma, Helm, Johnson, and Vlissides introduced the concept of design patterns to the world. It is still required reading today. Perhaps one of the single most productive learning experiences I have had as a software professional was absorbing this book over a weekend. If you've written object oriented software, you will recognize these patterns in your own work. Understanding them and being able to name them allows you to write better, more expressive software that can concisely convey the intent of your design through the use of these patterns and their names.
  • The Open-Closed Principle, Dependency Inversion Principle and Dependency injection: OK. This isn't just one thing but they are all related. The Open-Closed principal, which says that you should design things that are open to extension but closed to modification, sounds impossible to achieve but is quite simple if you understand dependency inversion, that the outside system should define the dependencies of an entity not the other way around, which can be implemented with dependency injection. In other words, when you build a class, function, etc., it should not have knowledge of the outside world. Anything external that it needs to function properly should be given to it. I acknowledge that this is very much an object-oriented concept. As I am learning more about functional languages, I'm curious to see if there is an analogous concept.
  • Version Control with Branching and Merging Strategies: Every developer that works in collaboration with others needs a basic understanding of how to use a version control system to manage their code base. Modern tools like Git provide great power in terms of the ability to easily create diverging branches of code and subsequently merge them back together. But the tool by itself doesn't make managing code easier. In fact, it can help you to quickly make quite a mess of things. Understanding concepts like a stable master branch strategy, an unstable master branch strategy and Branch By Abstraction and how these are different from branching as code promotion strategies can make your life much easier.
  • Automated Testing: Automated testing comes in many flavors from low-level unit testing up to large scalability testing, from functional testing to user acceptance testing, from performance testing to integration testing. And these can be done in a variety of ways from after-the-fact testing to the more agile test-driven and behavior-driven development. Knowing how to build robust tests, and knowing which tests not to write, can mean the difference between stable, well constructed software and a real mess of missed deadlines and broken promises.
  • Build Systems: Having the ability to build your software in a single, well-defined, well-controlled environment avoids the "it works on my computer" syndrome. Build systems like Jenkins and TFS not only compile your code but can also deploy and run all of your automated tests. Having a reliable build system is an important step in creating a successful devOps strategy.
  • Deployment Strategies: Having a well thought out deployment strategy for your software is important to ensure its stability in production. I've seen too many companies build their software in place on their production systems. Since they've bootstrapped their way, they have no repeatable process to stand up another system. When their product is successful and they need to replicate it, e.g. for scaling to support more users, they have no mechanism to do this. Understanding how to deploy your software means you can set up multiple identical, or nearly-identical, development, QA and production environments at any time.
  • Memory Management: While many modern languages don't explicitly require you to manage memory directly, it's still important to understand how your software allocates and frees memory. If you haven't learned a lower-level language like C that requires you to allocate and deallocate memory explicitly, then you run the risk of being too cavalier in your trust of garbage collectors and other automated memory management solutions. Any system can have memory leaks if you don't understand what they are doing under the hood.
  • Performance Tuning and Testing: Every developer needs to understand when and how to tune performance. Prematurely optimize and you run the risk of creating unnecessarily poor designs. Don't think about optimization at all and your software may die by a death of a thousand cuts. That is, too many slow implementations scattered throughout your code making it impossible to optimize. Of course, agile practices can help alleviate that issue.
  • Debugging: I'm not just talking about how to use a debugger. I am talking about general techniques to track down defects in your software. Knowing how to debug your code is important for multiple reasons. First, it means that you can track down defects quickly. Second, it informs you on how to best instrument your code to help track down problems while supporting the production application.
  • User-Centered Design: This is a slightly different beast from the topics above. Everyone on a software team, not just the UX person or the developers, should understand the importance, benefits and practices of user-centered design.  I once worked on a large multi-tiered application where one of the developers said, totally seriously, "Let's build the server first and then see what it can do." Umm, no.
  • Final Thoughts... So there you have it. Superman, science and software all wrapped up with a neat little bow. I didn't really tell you how to be a software superhero nor did I provide you with an exhaustive list of skills that modern software developers need. But I hope I at least got you thinking about your own skills and how they line up to the list above.

    About the Author

    Dr. Mark Balbes serves as Vice President, Architecture at WWT Asynchrony Labs, and leads multiple Agile projects for Government and Fortune 500 companies. He received his Ph.D. in Nuclear Physics from Duke University in 1992, then continued his research in nuclear astrophysics at Ohio State University. Dr. Balbes has worked in the industrial sector since 1995 applying his scientific expertise to the disciplines of software development. He has led teams as small as a few software developers to as large as a multi-national Engineering department with development centers in the U.S., Canada, and India. Whether serving as product manager, chief scientist, or chief architect, he provides both technical and thought leadership around Agile development, Agile architecture, and Agile project management principles.

    27 Online Courses to Learn Blockchain and Cryptocurrency Programming | killexams.com real questions and Pass4sure dumps

    What is a blockchain? A blockchain is a decentralized, distributed and public digital ledger that is used to record transactions across many computers so that the record cannot be altered retroactively without the alteration of all subsequent blocks and the collusion of the network.

    If you're like me, that definition probably didn't help you. And maybe that's okay...

    But then again, the number of blockchain jobs has increased over 600 percent since late 2015. According to Indeed, 15 of the 18 most popular industry jobs mentioned "cryptocurrency" in the job description. And Upwork (the freelancing platform) reports that blockchain engineering skills are the second most-demanded skills in the labor market. 

    So if that sounds enticing... where can you go to learn more about cryptocurrencies and blockchain?

    Here's a list of courses put together by BusinessStudent.com, an online source for information on business degrees and careers. 

  • Cryptoeconomics 101 -- (BlockGeeks) -- Introduces you to the major principles that give blockchain its value. Focuses on core topics in cryptography and economics, and how they work together to creative systems of incentives for blockchain. 
  • Blockchain 101 Intro - Non Technical -- (BlockGeeks) -- This is an introductory course to blockchain technology. It will show you how transactions are stored in blockchain, how mining works via consensus and the difference between permissioned and permissionless blockchain. 
  • Build a Decentralized Blockchain App -- (BlockGeeks) -- This introductory course will teach you how to build a decentralized blockchain app with Ethereum. 
  • Bitcoin and Cryptocurrency Technologies -- (Coursera) -- This is an introductory course from Coursera that will teach you how Bitcoin works, how secure Bitcoin is, and how anonymous Bitcoin users are. 
  • Blockchain Application Development for Microsoft .NET -- (BlockGeeks) -- This class teaches how to develop a decentralized application for blockchain on Microsoft Windows using Visual Studio or Visual Studio Code. 
  • Basic Solidity Course -- (BlockGeeks) -- This course will prepare you to design, manage and construct enduring systems of Smart Contracts that have significant value. It will show essential knowledge and patterns that can be used to design and build a signature system. 
  • The Complete Course on Understanding Blockchain Technology -- (Udemy) -- This Udemy course will provide the student with a complete understanding of how blockchain works, what the future of the technology is, and how to have conversations with anyone about blockchain technology. 
  • Intro to Bitcoin -- (BlockGeeks) -- Learn the fundamentals of how Bitcoin works, and the proof of work consensus algorithm that makes such decentralized transactions possible. Learn about public and private keys, transactions, mining, hard foks and segwit. 
  • Intro to Ethereum -- (BlockGeeks) -- Learn how to write contracts and build Dapps using Ethereum and learn about Solidity and how to build decentralized applications. 
  • Workshop - Tokens on the Blockchain -- (BlockGeeks) -- Looks at the definition of tokens and understanding what they mean as they relate to blockchain. Focuses on tokens for the Ethereum blockchain and also looks at other token standards such as ERC20. 
  • How Money Stays Stable -- (BlockGeeks) -- This webinar looks at how money works, and how currency stays stable over long periods of time. It also studies the law of supply and demand and how it determines the quantity and price of goods and services in economies. 
  • Workshop - Smart Contracts 101 -- (BlockGeeks) -- This webinar studies smart contracts, how they work with the Ethereum blockchain from the architectural level as well as from a practical standpoint. 
  • Workshop -- How to Use ERC721 Tokens -- (BlockGeeks) -- This webinar examines the ERC721 token standard and an example of implementation in the Open Zeppelin library. You will learn what this type of token is and how it differs from the ERC20. 
  • Workshop: Segwit -- (BlockGeeks) -- This program will walk you through the segregated witness feature of the bitcoin blockchain. 
  • Workshop -- Q&A Program's Smart Contract -- (BlockGeeks) -- This webinar is a study of Q/A DAPP and how it works with smart contracts. 
  • IBM Blockchain Foundation for Developers -- (Coursera) -- Several highly experienced IBM blockchain developers will lead the student through several videos that show high level concepts, components and strategies on how to build blockchain business networks. 
  • Blockchain in the Energy Sector -- (FutureLearn) -- This course studies the disruptive possibilities of blockchain technology in the energy sector. Students will learn how blockchain works and begin to understand the value, background and geopolitical context and how it applies to the energy sector. 
  • Become a Blockchain Developer with Ethereum and Solidity -- (Udemy) -- This webinar will introduce you to the basic philosophy behind blockchain; how to develop a distributed application and deploy it in production; unit testing and create a user interface. Also, you will learn all of the basic concepts of the Solidity smart contract language. 
  • Ethereum Developer Masterclass - Build Real World Projects -- (Udemy) -- This course from Udemy will go through the Ethereum development ecosystem in great detail. The student will create and launch their own initial coin offering on the Ethereum blockchain. 
  • Blockchain for Business -- (EdX) -- An Introduction to Hyperledger Technologies -- This course will introduce the power of distributed ledger technologies with a brief overview of Hyperledger and introductions to key frameworks. 
  • Law and Business of Bitcoin and Cryptocurrencies -- (NYU.edu) -- This course is offered by the NYU Law School and Stern School of Business. It provides an overview of the complex legal and business issues surrounding the implementation of bitcoin and other cryptocurrencies in the marketplace. 
  • Innovation and Cryptoventures -- (Duke University) -- This is a new course from Duke University that helps students to understand disruptive technologies and to assess the implications on how business will be conducted in the future. Much course focus is on the network that is growing behind bitcoin and the many ventures that are capitalizing on it. 
  • Bitcoin Engineering -- (Stanford University) -- This lab course from Stanford University focuses on how to build Bitcoin enabled applications. You will learn how to rewire Internet services on the basis of Bitcoin. 
  • Blockchain for Technical Executives and Analysts -- (B9lab) -- This course is geared to teach technical decision makers and CTOs about the basics of blockchain technologies. It will introduce every that is needed to understand the technology, smart contracts, and the technical and social frameworks that undergird the technology. 
  • The ULTIMATE Bitcoin and Blockchain Course -- (Udemy) -- This is an introductory course about blockchain, bitcoin and cryptocurrencies. You will understand how to make money through mining cryptocurrencies and the importance of cryptocurrencies in our financial future. 
  • Learn Bitcoin and Ethereum -- (OneMonth) -- This is one of the top self-paced online cryptocurrency courses today. You will learn how to get started with investing in Bitcoin, Ethereum and blockchain. You will learn how to send and receive Bitcoin, as well as how to set up a Trezor for cold wallet security. 
  • Cryptocurrencies, Blockchains and Smart Contracts -- (Stanford University) -- This introductory course at Stanford University covers all basic aspects of cryptocurrencies, such as distributed consensus, blockchains, smart contracts and applications.
  • Published on: Jun 28, 2018

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