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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 : February 15, 2019
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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

Settling In With IBM i For The lengthy Haul | killexams.com Real Questions and Pass4sure dumps

February eleven, 2019 Timothy Prickett Morgan

If nothing else, the IBM i platform has exhibited incredible sturdiness. One might even say legendary longevity, if you want to take its heritage all of the method returned to the equipment/three minicomputer from 1969. this is the actual beginning factor within the AS/400 family unit tree and here is when large Blue, for very sound criminal and technical and advertising and marketing explanations, decided to fork its items to tackle the unique needs of huge companies (with the equipment/360 mainframe and its follow-ons) and small and medium organizations (starting with the gadget/3 and moving on through the equipment/34, device/32, device/38, and system/36 in the 1970s and early Nineteen Eighties and passing through the AS/400, AS/400e, iSeries, device i, and then IBM i on energy systems structures.

It has been an extended run indeed, and a lot of purchasers who've invested within the platform started means again then and there with the early models of RPG and moved their applications forward and altered them as their corporations developed and the depth and breadth of corporate computing changed, moving on up via RPG II, RPG III, RPG IV, ILE RPG, and now RPG free form. Being on this platform for even three a long time makes you a relative newcomer.

there is an extended run ahead, seeing that we consider that the groups which are still running IBM i methods are the genuine diehards, the ones who have no intention of leaving the platform and that, as a minimum in keeping with the survey facts we have been privy too, are intending to proceed investing in, or even extend their investments in, the IBM i platform.

up to now, we aren't in a recession and heaven inclined there usually are not one, so the priorities that IBM i shops have don't seem to be those that they had a decade in the past all over the peak of the awesome Recession. back then, as was the case in practically all IT businesses, IBM i shops have been hunkering down and had been making an attempt to reduce costs in all techniques possible, together with deferring device enhancements and migrations as well as slicing back on other initiatives. best 29 p.c of the 750 IBM i shops that participated in the 2019 IBM i industry Survey, which HelpSystems did lower back in October 2018, had been involved about cutting back IT spending. here's a remarkably low level, and i suppose is indicative of how pretty potent the economic climate is – excepting one of the suits and starts we noticed at the end of 2018 and right here in early 2019 that make us frightened and could delivery inserting drive on issues. listed below are the desirable concerns as culled from the survey:

coping with the increase in information and in deciding the analytics to bite on that statistics ranked a little bit better on the 2019 IBM i industry Survey than did decreasing costs, and that i believe over the long haul these concerns will turn into extra vital than modernizing purposes and dealing with the IBM i potential shortages which are a perennial fret. both of those concerns are being solved as new programmers and new equipment to make new interfaces to database purposes are becoming more common and as technologies akin to free form RPG, which looks extra like Java, Python, and Hypertext Preprocessor, are being more broadly deployed and, importantly, will also be picked up more right away by programmers experienced with these different languages.

Given the character of the customer base, it appears not going to me that safety and high availability will not proceed to be primary concerns, youngsters that the IBM i platform is among the many most comfy structures on this planet (and never just because it is imprecise, however since it is awfully intricate to hack) and it has a variety of high availability and catastrophe restoration equipment (from IBM, Syncsort, Maxava, and HelpSystems) attainable for those that want to double up their systems and protect their applications and records. The bar is commonly bigger than basic backup and recovery for a lot of IBM i stores within the banking, assurance, manufacturing, and distribution industries that dominate the platform. These companies can’t have protection breaches, and that they can’t have downtime.

there's a mind-blowing quantity of balance within the IBM i consumer base that we believe, at this point, is reflective in the stability of the IBM i platform and big Blue’s personal belief that it wants a healthy IBM i platform to have an overall match energy systems business. we all comprehend that the power techniques hardware enterprise has simply turned in five quarters of earnings increase – whatever thing we mentioned these days in setting up our own earnings mannequin for the energy programs company – but what we did not comprehend, and what you should understand, is that within the second and third quarters of 2018, the IBM i element of the business grew drastically sooner than the universal energy techniques business, and the handiest intent that this didn't happen in the closing quarter of 2018 is that revenue of IBM i equipment in this autumn 2017 become quite amazing and represented a really hard compare. The point is, the IBM i company has been raising the vigor techniques classification ordinary. (These suggestions in regards to the IBM i company come compliments of Steve Sibley, vp and offering manager of Cognitive techniques at IBM.)

IBM’s own economic steadiness of the vigor platform – which has been bolstered by way of a circulate into Linux clusters for analytics and high efficiency computing simulation and modeling as well as via the adoption of the HANA in-memory database via SAP valued clientele on big iron machines including Power8 and now Power9 systems – helps IBM i valued clientele suppose extra assured in investing in the current IBM i platform. The recent proof from a couple of distinct surveys, not just the one finished by means of HelpSystems every year, means that groups are by way of and massive both carrying on with to make investments within the platform and even in some situations are planning to boost their spending on the IBM i platform in 2019.

As you could see, the sample of investment plans for the IBM i platform, as proven in the chart above, has no longer changed very a great deal in any respect during the past four years. it is a remarkably solid sample with however a bit wiggling right here and there that may additionally no longer even be statistically massive. just below a quarter of IBM i shops have said in the past 4 years that they plan to raise their investment within the platform in each and every year, and just beneath half say that they are keeping steady. This doesn't suggest that the identical groups, 12 months after year, are investing greater and other organizations are staying pat, year after yr. it is far more probably that every handful of years – extra like four or five – valued clientele upgrade their techniques and extend their potential, and they then sit tight. The wonder is that the break up isn’t displaying a long way fewer companies investing and much greater sitting tight. That greater than a tenth of the stores don’t understand what their plan is as each and every prior 12 months comes to a close is a little demanding, however it is honest and shows that a good portion of shops produce other priorities other than hardware and operating device upgrades. we now have referred to this earlier than and we will say it once more: We suppose that the individuals who reply to surveys and browse weekly publications concentrated on the IBM i platform are the most energetic shops – those extra likely to live relatively latest on hardware and software. So the tempo of adoption for brand new applied sciences, and the price of funding, may still be better than within the specific base, a lot of which does not alternate lots at all.

So if we had to alter this facts to tackle the entire base, there could be some distance fewer websites which are investing extra money, way more businesses which are sitting tight, and perhaps fewer sites which are contemplating relocating off the IBM i platform. I believe the distribution of statistics is probably anything like 10 percent of retailers haven't any theory what they are doing funding wise with IBM this 12 months, 5 % are thinking about moving some or all of their applications to a different platform, possibly 10 p.c are investing more this 12 months, and the final 75 % are sitting tight. here is just a wager, of path. so far as we will inform, the fee of attrition – what number of sites we in reality lose each and every 12 months – only a tad over 1 p.c. So the price of move of applications off the platform, or incidences of unplugging IBM i databases and functions, can also no longer be any place close as high within the standard base because the information above suggests. what is alarming, possibly, is that the expense of moving some or all applications off the platform is balanced against people who say they'll raise investments. perhaps these are hopeful survey takers, and those that think it's handy to move find it is not and people who believe they are going to discover the money to invest will not.

What we do recognize is that if the price of software attrition become anywhere near as high as these surveys indicate, then the IBM i company would no longer be starting to be, however shrinking. And we understand it is not shrinking, so we feel there's a disconnect between planning and reality, each on the upside and the downside.

in case you drill down into the facts for the 2019 IBM i marketplace Survey, there have been 13 p.c of outlets that observed they would be relocating some purposes to a brand new platform, and another 9 % that talked about they had been going to circulate all of their functions off IBM i. (This quantity is consistent with the fresh ALL400s survey achieved by John Rockwell.)

Anyway, respectable luck with that.

Porting purposes from one platform to an additional, of buying a new suite on that new platform, is an highly problematic project. It isn't like attempting to exchange a tire while using down the highway, as is a typical metaphor, however rather like making an attempt to take the tire off one motor vehicle moving down the motorway and installation it on another vehicle riding beside it in the adjacent lane without crashing both car or smashing into any person else on the street. Optimism abounds, but when push comes to shove, only a few organizations try any such maneuver, and after they do, it is always as a result of there's a company mandate, greater times than now not brought about by using a merger or acquisition, that pits another platform towards IBM i running on vigor methods. groups that say they are making such a flow off IBM i are sanguine for their personal own factors, perhaps, however they aren't always simple about how lengthy it may take, what disruption it will can charge, and what choicest benefit, if any, will be realized.

in case you do the math on the chart above, eight-tenths of the bottom has no theory how lengthy a flow will take, one more 1.7 % thinks it will take more than 5 years, and 3 p.c say it will take between two years and 5 years. simplest 3.4 % of the overall base say they could do it in beneath two years. We feel all of those numbers are positive, and the businesses who may with no trouble depart OS/four hundred and IBM i already did a long time ago and people which are continue to be have a more durable time, no longer a simpler time, moving. If this were now not true, the IBM i base would be a hell of a whole lot smaller than the a hundred and twenty,000 valued clientele we think are accessible, based on what massive Blue has told us in the past. here's the change between worry or power or way of life and the fact of making an attempt to movement a business off one platform and onto a further. These strikes are all the time plenty harder than they seem to be on the entrance end, and we suspect many of the benefits additionally don’t materialize for people that do start structures.

on the normal attrition rate recommended by this survey records – 9 percent stream off the platform in someplace between 12 months and more than five years, with most groups not being able to see greater than 5 years into the long run it truly is a neat trick – the installed base would shrink dramatically. it's challenging to assert how a long way as a result of the wide range of timeframes in the survey. If it turned into 9 % of the base inside two years – call it 4.5 % of the bottom per yr – then within a decade the standard base would cut back from 120,000 IBM i websites global down to about seventy two,000. this could dramatic certainly. but at a 1 % attrition rate per yr, the bottom continues to be at 107,500 unique purchasers (not websites and never put in machines, each of which might be greater) by means of 2029. We consider there is each probability that the attrition price will basically slow and drop underneath 1 p.c as IBM demonstrates commitment to the vigour techniques platform and its IBM i operating equipment. There are at all times some new consumers being brought in new markets, to make certain, however the bleed expense (besides the fact that it's small) continues to be doubtless an order of magnitude higher than the feed expense.

after they do think about making the stream, IBM i shops recognize precisely the place they want to go, and this reply has been step by step changing over the years: Linux as an alternative to IBM i is on the upward push and home windows Server as an alternative is on the wane. within the newest survey, fifty two percent of the businesses that spoke of they were relocating all or a few of their functions to yet another platform referred to they were deciding upon home windows Server, whereas 34 p.c chose Linux. This displays the relative popularity of home windows Server and Linux within the datacenters of the area at enormous, and can be tipped simply a little greater closely towards Linux compared to the relaxation of the world. apparently, 10 p.c of these polled who said they were moving were AIX structures, and one other 4 percent had been going upscale to gadget z mainframes – as unlikely as this may also appear. systems are inclined to roll downhill; they don't always defy gravity like that.

The issue about such surveys is that they display intent, now not motion. We regularly intend to do a lot more than we basically can accomplish, and moving platforms after spending decades of increase abilities isn't constantly a very wise circulation except the platform is in true obstacle – like the Itanium methods from Hewlett Packard enterprise operating OpenVMS or HP-UX or the HP 3000s working MPE or the Sparc programs from Oracle running Solaris. These had been as soon as brilliant platforms with big put in bases and gigantic earnings streams, but now, IBM is the final of these Unix and proprietary platforms with its vigor programs line. And it is via a long way the biggest and for sure the only one displaying any boom.

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Internet of Things Leveraging AI To Gain Competitive Advantage

The internet of things (IoT) has advanced from a futuristic business buzzword and may now unleash huge abilities. With the evolving expertise panorama, IoT expertise is getting smarter, and hence, greater companies are incorporating AI (like computing device gaining knowledge of, deep gaining knowledge of, genetic algorithms, advanced discovering) with IoT functions to generate an advanced output.

The speedy skill to wring information makes AI more constructive. This has made many of the massive organization excited to pour hefty investments in IoT as a result of AI is sure to bring a sensation within the container IoT.

information and Figures at look
  • boost in the challenge capital funding of AI-focused IoT startups can also be anticipated.
  • Acquisitions of AI-concentrated IoT startups is anticipated to boom.
  • providers of IoT platform — Amazon, Oracle, and Microsoft to identify a couple of — taking the ends up in integrate AI capabilities
  • As per Gartner, greater than eighty p.c of business IoT tasks could be available in the market through 2018 and should include AI components, up from most effective 10 % today.
  • large agencies throughout industries are already leveraging or exploring the vigor of AI with IoT to carry inventive options and items (offerings that make the operation greater productive and efficient).
  • Let's Emphasize clever IoT

    In accepted, IoT is described because the community of actual gadgets able to sending and receiving statistics across the internet. This contains wearables and cell contraptions, clinical contraptions that are linked, smart home appliances, and the sensors.

    The linked things will also be interconnected into an ecosystem during which they have interaction with one one other and with decision agents by means of the cyber web or a non-public community. although, the precise opportunity for innovation comes when things are intelligently linked when the statistics is fed into an AI-primarily based algorithm for self sufficient resolution-making and computer gaining knowledge of.

    in order to gain new insights from the interconnected things, applying AI to IoT will increase the relationship enabling cognitive engines for greater herbal interplay.

    AI Unleashing IoT advantage

    synthetic intelligence know-how performs a growing to be function in IoT functions and deployments. both investments and acquisitions in startups that merge AI and IoT have scored larger since a few years in the past. major vendors of IoT platform utility are exploring prospects to combine AI capabilities such as computing device discovering-primarily based analytics.

    Market developments

    IoT app development organizations are expecting to latest modern features and application in the close future. And, of course, it will be among the largest result created merging IoT and AI. further, lots of the standalone companies will endure reinvention to turn into part of integrated networks.

    in line with IBM, the spending on IoT global hit approx $772.5 billion in 2018, a 15 p.c raise over 2017. plenty of that spending came from organizations. sixty six p.c of executives at the moment are comprising IoT into their working fashions, in accordance with a fresh analyze by using the IBM Institute for enterprise value.

    AI plays a crucial function in making IoT applications extra superior and having more desirable deployments. additional, contemplating the investments and acquisitions in startups integrated with AI and IoT, there has been awesome increase. 

    machine getting to know is an AI know-how that takes has capability and competence to immediately observe patterns and oddities within the information that smart sensors and contraptions generate, together with tips reminiscent of temperature, drive, humidity, and the satisfactory of air. commonly, when we compare the ordinary company intelligence tool with desktop gaining knowledge of, it changed into clear that the operational predictions won with the aid of ML have been up to twenty instances quick with amazing precision.

    different AI technologies, like speed attention or computer imaginative and prescient, play a vital function in interpreting statistics right into a advantageous piece of information, which is simply too lots for one human to perform by myself.

    AI applications for IoT allow businesses to prevent unplanned downtime, raise operating efficiency, and enhance chance management.

    benefits manage expensive Unplanned Downtime

    For sectors like manufacturing, oil, fuel, and other an identical industries, unplanned downtime results in device breakdown, which will also be a expensive affair.

    Predictive upkeep the use of analytics prevents equipment failure before downtime, which can also be utilized to schedule a preservation technique. evidently, this showcases the power of AI and IoT and the way they will also be utilized to fix any damage. machine discovering makes it viable to determine the sample within the regular flow of facts to predict equipment failure.

    for instance, of their survey, Deloitte discovered predictive protection very beneficial to manage the time to plot protection, i.e. 20-50 percent (this capacity that the gadget uptime expanded the supply by means of 10-20 % and decreased ordinary preservation expenses with the aid of 5-10 percent).

    enhance in Operational effectivity

    It isn't any doubt that AI-powered IoT is assisting operational effectivity. corresponding to desktop discovering predictions, AI additionally helps in shaping operational situations and allows for us to establish the parameters required to streamline methods. this is performed through crunching steady streams of records, which are highly not possible for one, single human.

    increase products and capabilities

    Upgrading IoT with AI will without delay assist to create new products and capabilities. With the advancement of time, herbal language processing is getting more advantageous with near-consistent human-laptop interaction.as an instance, AI-managed drones and robots are new alternatives for monitoring and inspection.

    additionally, if we talk about fleet administration, it is reinvented by way of AI. this may computer screen each possible statistics point, which helps to cut back unplanned downtime. for instance, Cloudera claims 40 % reduce downtime for fleet vehicle monitored by means of their Navistar gadget.

    Improvise in possibility management

    today, we can see a few valuable purposes created pairing IoT with AI that help organizations understand and predict a whole lot of risks, enabling automated and fast responses like managing workforce defense, fiscal losses, etc.


    There isn't any denying that the way forward for IoT might be AI. it be also anticipated that, in the close future, it could be complicated to discover an IoT implementation devoid of AI. The international records Corp displays that AI will assist IoT efforts, and with out AI integration, the deployed statistics could have “restrained value.”


    iot ,ai ,synthetic intelligence ,data ,computer learning ,wise facts ,algorithms ,risk management

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

    Delivering 4X performance vs GPUs, 90X vs CPUs, AND unprecedented adaptability across workloads

    SAN JOSE, Calif., Oct. 2, 2018 /PRNewswire/ -- Xilinx Developer Forum (XDF) – Xilinx, Inc. (XLNX) 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. 

    View photos

    Xilinx today launched Alveo, the world’s fastest data center and artificial intelligence (AI) accelerator cards.


    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."

    Story continues

    "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 photos

    Xilinx logo (PRNewsFoto/Xilinx) (PRNewsfoto/Xilinx, Inc.)


    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

    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.

    Our High Yield REIT Portfolio Designed For Outperformance | killexams.com real questions and Pass4sure dumps

    No result found, try new keyword!Source: SNL Financial Returns this low are just not enough and we refuse ... The good kind of value cannot be reliably found through a screen or algorithm. It requires rigorous fundamental analysis to ...

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    IBM C2020-002 Exam (IBM Algo Financial Modeler Developer Fundamentals) Detailed Information


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