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000-M73 exam Dumps Source : IBM OmniFind Technical Sales Mastery Test v1
Test Code : 000-M73
Test Name : IBM OmniFind Technical Sales Mastery Test v1
Vendor Name : IBM
Q&A : 52 Real Questions
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IBM IBM OmniFind Technical Sales
Some buyers see lots of value in Oracle (NYSE: ORCL) shares. The database-application significant's own management, for one, recently called it "an marvelous buy" and authorized one more $10 billion of inventory buybacks.
it really is now not always wrong, however you do not need to seem to be too a long way afield to locate a stronger value inventory in the tech sector. right now, or not it's challenging to beat the long-time period value you'll get from IBM (NYSE: IBM) shares.
A stack of cash, topped with a bundle of rolled-up $10 expenses. there's a shadow of this arrangement on the wall at the back of it that seems like a rocket in flight.
image supply: Getty pictures.
Oracle is a former titan of business on its way down. a brand new breed of database platforms has arrived, difficult no longer only Oracle's company mannequin but also the technical foundations of its flagship product line. the longer term belongs to so-referred to as NoSQL databases, which may prepare and control unstructured statistics at a scale and velocity this is completely alien to Oracle-vogue relational databases.
Even Oracle knows it and is enjoying catch-up with its personal cloud-primarily based NoSQL platform. but it surely's too little, too late, and Oracle comes with the wrong sort of highway cred to drag off that transformation.
IBM found itself in an analogous condition 5 years ago. Ex-CEO Sam Palmisano had pulled huge Blue up through its bootstraps, making a celebrated enterprise mannequin where one company supplied all the hardware, utility, and associated functions it may take to run a a success IT operation at enterprise scale. Oracle turned into one of the vital many would-be IBM clones that attempted to copy Palmisano's unbelievable template.
however markets exchange, and companies like IBM and Oracle must alternate along with the ambiance if they want to live relevant and successful. big Blue's latest CEO Ginni Rometty stepped in with a transparent vision of dramatic market changes and a mandate to do anything turned into imperative to live abreast with the brand new instances. Rometty did not just follow that alternate however began spearheading the exchange right away.
Half-a-decade later, cloud computing is the buzzword of option across the entire IT trade; here's exactly where Rometty turned into aiming all along. The enterprise has sacrificed billions of dollars in annual revenues by shedding old-fashioned computing-hardware contraptions to refocus on cloud-based statistics analytics and administration. artificial intelligence plays a big part in IBM's new method. So does company mobility, and the enterprise is a number one issuer of blockchain applied sciences for corporate valued clientele.
when you are taking part in buzzword bingo at home, your gaming card must be pretty full by way of now. it truly is high-quality. As I stated, IBM is riding many of these tendencies rather than just following along.
These so-known as strategic imperatives accounted for more than half of IBM's total sales in 2018 and will most effective proceed to outgrow the closing legacy operations over time. We're a hockey-stick moment for IBM's lengthy-term salary increase, the place the annual raises should still start stacking up very instantly after just a few years of falling revenue. The same tendencies should still additionally extend IBM's income margins over the following few years.
The upshot: huge Blue is winning -- and the stock is low cost!
IBM's radical method shift has been hard on its stock expenditures. Its shares have lost 24% of their cost over the last five years, or a much less hair-raising 9% in case you account for its generous dividend payouts alongside the way. nowadays, IBM shares are trading at just 9.5 instances ahead profits and 12 instances trailing free money flows. that's a good discount for an extended-operating turnaround story that is bouncing off the rock-backside deep conclusion of a 5-yr trough.
Glancing over at Oracle, I see an organization struggling to keep up with the changing markets in place of setting the tone for a new era. Its shares are buying and selling for 14 times forward income and sixteen.6 times trailing cash flows. You simply cannot persuade me that Oracle's shares are an improved purchase than IBM's presently.
more From The Motley idiot
Anders Bylund owns shares of IBM. The Motley fool owns shares of Oracle. The Motley fool is short shares of IBM and has right here alternate options: lengthy January 2020 $30 calls on Oracle. The Motley idiot has a disclosure policy.
February eleven, 2019 Timothy Prickett Morgan
If nothing else, the IBM i platform has exhibited astounding durability. One might even say legendary toughness, if you are looking to take its background the entire means again to the system/three minicomputer from 1969. this is the actual beginning point within the AS/four hundred household tree and here's when large Blue, for extremely sound legal and technical and advertising and marketing reasons, determined to fork its products to handle the exciting wants of gigantic firms (with the gadget/360 mainframe and its observe-ons) and small and medium groups (beginning with the device/3 and relocating on in the course of the device/34, device/32, device/38, and system/36 in the Seventies and early 1980s and passing through the AS/400, AS/400e, iSeries, system i, after which IBM i on energy programs systems.
It has been a long run certainly, and a lot of purchasers who've invested in the platform all started means again then and there with the early models of RPG and moved their purposes forward and altered them as their corporations developed and the depth and breadth of corporate computing modified, relocating on up through RPG II, RPG III, RPG IV, ILE RPG, and now RPG free kind. Being on this platform for even three a long time makes you a relative newcomer.
there's an extended run forward, seeing that we agree with that the groups that are nevertheless running IBM i systems are the true diehards, the ones who don't have any intention of leaving the platform and that, at the least in keeping with the survey information we've been privy too, are intending to proceed investing in, or even expand their investments in, the IBM i platform.
thus far, we don't seem to be in a recession and heaven inclined there are not one, so the priorities that IBM i shops have aren't the ones that they'd a decade ago during the top of the tremendous Recession. back then, as turned into the case in practically all IT groups, IBM i retail outlets were hunkering down and had been attempting to reduce fees in all techniques viable, including deferring device upgrades and migrations as well as reducing back on other projects. simplest 29 % of the 750 IBM i shops that participated within the 2019 IBM i industry Survey, which HelpSystems did returned in October 2018, were worried about reducing IT spending. here's a remarkably low stage, and that i think is indicative of how fairly powerful the economic climate is – excepting some of the matches and starts we saw on the conclusion of 2018 and here in early 2019 that make us apprehensive and will delivery placing drive on issues. here are the correct concerns as culled from the survey:
dealing with the growth in facts and in identifying the analytics to chunk on that information ranked a bit bit bigger on the 2019 IBM i market Survey than did cutting back costs, and that i suppose over the lengthy haul these issues will develop into extra crucial than modernizing purposes and coping with the IBM i competencies shortages that are a perennial be troubled. each of those considerations are being solved as new programmers and new equipment to make new interfaces to database applications have become more normal and as technologies akin to free kind RPG, which appears greater like Java, Python, and personal home page, are being greater commonly deployed and, importantly, can be picked up more rapidly by way of programmers experienced with these other languages.
Given the character of the client base, it looks not going to me that protection and excessive availability will not continue to be simple concerns, despite the fact that the IBM i platform is among the many most comfy platforms on this planet (and not simply since it is vague, however since it is enormously difficult to hack) and it has a variety of excessive availability and disaster recuperation tools (from IBM, Syncsort, Maxava, and HelpSystems) attainable for those who wish to double up their systems and give protection to their purposes and information. The bar is regularly higher than elementary backup and healing for a lot of IBM i stores in the banking, insurance, manufacturing, and distribution industries that dominate the platform. These organizations can’t have safety breaches, and that they can’t have downtime.
there's a striking quantity of balance in the IBM i customer base that we think, at this factor, is reflective in the steadiness of the IBM i platform and massive Blue’s personal perception that it wants a suit IBM i platform to have an general in shape power programs company. we all understand that the vigour techniques hardware company has just turned in five quarters of income growth – anything we mentioned currently in establishing our own income model for the energy methods business – but what we didn't be aware of, and what remember to comprehend, is that within the 2d and third quarters of 2018, the IBM i portion of the business grew significantly faster than the basic vigor systems company, and the handiest intent that this did not ensue in the closing quarter of 2018 is that sales of IBM i machinery in q4 2017 turned into reasonably potent and represented a very hard compare. The element is, the IBM i business has been raising the vigour systems type ordinary. (These guidelines concerning the IBM i company come compliments of Steve Sibley, vp and providing supervisor of Cognitive techniques at IBM.)
IBM’s personal monetary steadiness of the vigour platform – which has been bolstered via a circulation into Linux clusters for analytics and high efficiency computing simulation and modeling as well as through the adoption of the HANA in-memory database by using SAP consumers on massive iron machines including Power8 and now Power9 techniques – helps IBM i customers suppose extra assured in investing within the existing IBM i platform. The fresh facts from a couple of different surveys, now not simply the one completed by means of HelpSystems each year, suggests that corporations are by means of and big both continuing to make investments within the platform or even in some situations are planning to increase their spending on the IBM i platform in 2019.
As that you would be able to see, the pattern of investment plans for the IBM i platform, as shown within the chart above, has no longer modified very lots in any respect during the past four years. it's a remarkably solid sample with but a little wiggling here and there that may no longer even be statistically tremendous. simply beneath a quarter of IBM i stores have mentioned during the past 4 years that they plan to raise their investment within the platform in every year, and simply beneath half say that they're maintaining constant. This doesn't imply that the identical organizations, yr after yr, are investing greater and different corporations are staying pat, 12 months after 12 months. it is far more likely that every handful of years – greater like four or 5 – clients improve their methods and expand their skill, and they then take a seat tight. The ask yourself is that the break up isn’t displaying a ways fewer corporations investing and much more sitting tight. That more than a tenth of the shops don’t understand what their plan is as every prior year comes to a detailed is just a little worrying, but it is honest and suggests that a good portion of outlets have other priorities other than hardware and operating device upgrades. we now have said this before and we will say it once again: We consider that the americans who reply to surveys and skim weekly publications concentrated on the IBM i platform are probably the most active retail outlets – those more likely to dwell particularly existing on hardware and application. So the pace of adoption for brand spanking new applied sciences, and the cost of investment, should still be better than in the precise base, a good deal of which doesn't change a whole lot in any respect.
So if we had to regulate this statistics to take on the total base, there can be a long way fewer websites which are investing greater cash, far more groups which are sitting tight, and maybe fewer sites that are considering moving off the IBM i platform. I believe the distribution of records is probably some thing like 10 % of outlets don't have any idea what they are doing funding intelligent with IBM this 12 months, 5 % are pondering relocating some or all of their purposes to a different platform, probably 10 % are investing more this year, and the closing seventy five p.c are sitting tight. this is just a guess, of route. as far as we can inform, the cost of attrition – how many sites we definitely lose each and every year – just a tad over 1 %. So the price of circulate of purposes off the platform, or incidences of unplugging IBM i databases and functions, may also now not be anyplace near as excessive within the ordinary base as the facts above suggests. what is alarming, perhaps, is that the expense of moving some or all applications off the platform is balanced towards folks that say they'll increase investments. perhaps these are hopeful survey takers, and those that believe it's handy to movement discover it isn't and people who suppose they are going to discover the funds to invest will no longer.
What we do comprehend is that if the expense of application attrition turned into any place near as excessive as these surveys indicate, then the IBM i business would not be growing, however shrinking. And we know it isn't shrinking, so we consider there's a disconnect between planning and fact, each on the upside and the downside.
in case you drill down into the information for the 2019 IBM i marketplace Survey, there were 13 % of outlets that noted they might be moving some purposes to a new platform, and one more 9 p.c that referred to they were going to move all of their functions off IBM i. (This quantity is in line with the recent ALL400s survey done by using John Rockwell.)
Anyway, respectable success with that.
Porting applications from one platform to an extra, of purchasing a new suite on that new platform, is an exceptionally tricky project. It isn't like attempting to trade a tire while riding down the street, as is a typical metaphor, but rather like attempting to take the tire off one vehicle relocating down the toll road and installation it on yet another motor vehicle riding beside it in the adjoining lane devoid of crashing either vehicle or smashing into any individual else on the road. Optimism abounds, but when push involves shove, very few corporations are attempting this sort of maneuver, and once they do, it is constantly as a result of there is a company mandate, extra instances than not led to by way of a merger or acquisition, that pits any other platform against IBM i working on vigour systems. companies that say they are making this type of stream off IBM i are sanguine for their own personal motives, in all probability, however they are not necessarily functional about how lengthy it may take, what disruption it is going to can charge, and what greatest benefit, if any, may be realized.
if you do the maths on the chart above, eight-tenths of the base has no idea how lengthy a flow will take, an additional 1.7 p.c thinks it will take greater than 5 years, and 3 % say it is going to take between two years and 5 years. only three.four p.c of the total base say they can do it in beneath two years. We suppose all of those numbers are confident, and the corporations who may easily depart OS/four hundred and IBM i already did a very long time in the past and people which are continue to be have a harder time, not an easier time, moving. If this have been no longer authentic, the IBM i base would be a hell of an awful lot smaller than the one hundred twenty,000 clients we consider are accessible, in keeping with what massive Blue has told us during the past. here's the change between worry or power or way of life and the reality of trying to move a company off one platform and onto yet another. These strikes are always a lot more durable than they seem on the entrance end, and we suspect most of the merits also don’t materialize for people that do soar systems.
on the usual attrition expense recommended via this survey facts – 9 percent movement off the platform in someplace between 365 days and greater than five years, with most groups no longer being in a position to see greater than five years into the longer term it really is a neat trick – the put in base would reduce dramatically. it is challenging to say how a ways because of the wide selection of timeframes within the survey. If it changed into 9 % of the base inside two years – call it four.5 percent of the bottom per yr – then inside a decade the universal base would shrink from one hundred twenty,000 IBM i websites international all the way down to about 72,000. this would dramatic certainly. however at a 1 % attrition cost per yr, the bottom is still at 107,500 enjoyable shoppers (now not websites and never put in machines, each of which can be better) by means of 2029. We believe there is each possibility that the attrition price will truly gradual and drop below 1 % as IBM demonstrates dedication to the vigour techniques platform and its IBM i working gadget. There are at all times some new customers being introduced in new markets, to make certain, however the bleed expense (even though it's small) is still probably an order of magnitude bigger than the feed price.
after they do think about making the stream, IBM i shops recognize precisely the place they need to go, and this answer has been progressively changing over the years: Linux as an alternative to IBM i is on the upward thrust and home windows Server as an choice is on the wane. within the newest survey, 52 percent of the organizations that spoke of they were relocating all or some of their functions to a further platform spoke of they were deciding upon home windows Server, whereas 34 p.c selected Linux. This displays the relative recognition of home windows Server and Linux within the datacenters of the realm at significant, and can be tipped just a little extra closely towards Linux compared to the rest of the area. apparently, 10 percent of these polled who said they have been relocating had been AIX platforms, and an additional four percent were going upscale to device z mainframes – as unlikely as this may also look. systems tend to roll downhill; they do not always defy gravity like that.
The issue about such surveys is that they exhibit intent, not action. We regularly intend to do a lot more than we really can accomplish, and moving structures after spending many years of increase advantage is not always a extremely smart flow unless the platform is in real problem – like the Itanium systems from Hewlett Packard business operating OpenVMS or HP-UX or the HP 3000s running MPE or the Sparc techniques from Oracle operating Solaris. These have been once extremely good platforms with large put in bases and large revenue streams, but now, IBM is the closing of those Unix and proprietary platforms with its vigour programs line. And it's by way of a long way the largest and for bound the only one showing any growth.
The IBM i Base Did indeed circulation On Up
The IBM i Base Is ready to move On Up
investment And Integration warning signs For IBM i
protection nevertheless Dominates IBM i dialogue, HelpSystems’ 2018 Survey exhibits
The IBM i Base no longer As Jumpy because it Has Been
The Feeds And Speeds Of The IBM i Base
IBM i Priorities For 2017: Pivot To protection
IBM i tendencies, issues, And Observations
IBM i Survey gets more desirable As Numbers develop
the place Do those IBM i Machines Work?
finding IBM i: A game Of forty Questions
it is time to inform Us What you are up to
IBM i marketplace Survey: The value Of Being Earnest
What’s Up in the IBM i industry?
IBM i market Survey Fills within the Blanks
In September 2018, IBM announced a brand new product, IBM Db2 AI for z/OS. This artificial intelligence engine monitors records access patterns from executing SQL statements, makes use of computer gaining knowledge of algorithms to decide on most beneficial patterns and passes this counsel to the Db2 question optimizer for use by way of subsequent statements.
laptop learning on the IBM z Platform
In can also of 2018, IBM introduced version 1.2 of its desktop researching for z/OS (MLz) product. here is a hybrid zServer and cloud utility suite that ingests performance records, analyzes and builds fashions that characterize the health status of quite a few symptoms, monitors them over time and gives real-time scoring capabilities.
a number of facets of this product offering are geared toward helping a neighborhood of mannequin developers and executives. as an example:
It supports diverse programming languages corresponding to Python, Scala and R. This makes it possible for facts modelers and scientists to use a language with which they're conventional;
A graphical consumer interface referred to as the visual mannequin Builder publications model developers with out requiring particularly-technical programming expertise;
It comprises distinctive dashboards for monitoring model results and scoring functions, as well as controlling the system configuration.
This laptop getting to know suite was in the beginning aimed at zServer-based mostly analytics functions. one of the vital first obvious selections turned into zSystem performance monitoring and tuning. gadget administration Facility (SMF) information which are immediately generated via the operating gadget give the uncooked data for gadget useful resource consumption similar to important processor utilization, I/O processing, memory paging and the like. IBM MLz can assemble and shop these statistics over time, and build and educate models of system behavior, rating these behaviors, identify patterns not simply foreseen by means of humans, strengthen key performance symptoms (KPIs) after which feed the mannequin outcomes returned into the device to have an effect on gadget configuration alterations that can increase efficiency.
The next step was to implement this suite to analyze Db2 efficiency facts. One answer, referred to as the IBM Db2 IT Operational Analytics (Db2 ITOA) solution template, applies the laptop learning know-how to Db2 operational facts to benefit an understanding of Db2 subsystem health. it might dynamically construct baselines for key performance indicators, provide a dashboard of these KPIs and provides operational personnel actual-time insight into Db2 operations.
while everyday Db2 subsystem efficiency is a vital element in common application fitness and efficiency, IBM estimates that the DBA support group of workers spends 25% or extra of its time, " ... combating entry direction complications which cause efficiency degradation and repair impact.". (See Reference 1).
AI comes to Db2
believe the plight of modern DBAs in a Db2 environment. In cutting-edge IT world they need to assist one or greater large data purposes, cloud application and database functions, application installation and configuration, Db2 subsystem and application efficiency tuning, database definition and management, catastrophe healing planning, and more. query tuning has been in existence because the origins of the database, and DBAs are continually tasked with this as well.
The coronary heart of question route evaluation in Db2 is the Optimizer. It accepts SQL statements from applications, verifies authority to entry the facts, reports the locations of the objects to be accessed and develops a listing of candidate information access paths. These entry paths can include indexes, desk scans, quite a lot of table be part of strategies and others. within the statistics warehouse and massive information environments there are continually extra decisions purchasable. One of these is the existence of summary tables (once in a while referred to as materialized question tables) that contain pre-summarized or aggregated statistics, consequently allowing Db2 to avoid re-aggregation processing. one more alternative is the starjoin access course, average in the records warehouse, the place the order of table joins is modified for performance causes.
The Optimizer then studies the candidate access paths and chooses the entry route, "with the lowest charge." charge in this context skill a weighted summation of resource utilization including CPU, I/O, memory and other components. eventually, the Optimizer takes the bottom cost access route, shops it in memory (and, optionally, in the Db2 directory) and begins access direction execution.
big information and data warehouse operations now encompass software suites that allow the company analyst to make use of a graphical interface to construct and manipulate a miniature facts model of the information they need to analyze. The programs then generate SQL statements in keeping with the users’ requests.
The issue for the DBA
with a purpose to do good analytics on your multiple facts stores you want a pretty good understanding of the information necessities, an figuring out of the analytical features and algorithms purchasable and a excessive-performance records infrastructure. lamentably, the quantity and location of facts sources is expanding (both in size and in geography), information sizes are transforming into, and applications proceed to proliferate in quantity and complexity. How may still IT managers aid this environment, particularly with essentially the most skilled and mature workforce nearing retirement?
consider additionally that a huge a part of decreasing the whole can charge of possession of those methods is to get Db2 purposes to run sooner and extra efficiently. This always translates into using fewer CPU cycles, doing fewer I/Os and transporting less statistics across the network. considering the fact that it is frequently tricky to even determine which functions could benefit from efficiency tuning, one approach is to automate the detection and correction of tuning concerns. here's the place machine researching and synthetic intelligence can be used to splendid effect.
Db2 12 for z/OS and synthetic Intelligence
Db2 edition 12 on z/OS makes use of the laptop gaining knowledge of amenities mentioned above to accumulate and keep SQL question text and access course details, in addition to actual efficiency-related old counsel such as CPU time used, elapsed instances and result set sizes. This offering, described as Db2 AI for z/OS, analyzes and shops the data in computer studying models, with the mannequin evaluation consequences then being scored and made available to the Db2 Optimizer. The next time a scored SQL commentary is encountered, the Optimizer can then use the mannequin scoring data as input to its access direction choice algorithm.
The influence should still be a discount in CPU consumption as the Optimizer makes use of mannequin scoring enter to choose more desirable access paths. This then lowers CPU prices and speeds software response instances. a big knowledge is that using AI application does not require the DBA to have information science capabilities or deep insights into query tuning methodologies. The Optimizer now chooses the most suitable entry paths primarily based now not only on SQL question syntax and statistics distribution facts but on modelled and scored old efficiency.
This can also be exceptionally crucial in case you shop facts in multiple places. as an example, many analytical queries towards large records require concurrent access to certain statistics warehouse tables. These tables are commonly known as dimension tables, and they contain the facts facets usually used to control subsetting and aggregation. for example, in a retail environment accept as true with a desk referred to as StoreLocation that enumerates each save and its place code. Queries in opposition t shop revenue data may additionally are looking to mixture or summarize income by way of location; therefore, the StoreLocation table might be used by means of some big records queries. during this atmosphere it's typical to take the dimension tables and duplicate them continually to the large facts software. in the IBM world this place is the IBM Db2 Analytics Accelerator (IDAA).
Now feel about SQL queries from each operational applications, records warehouse users and massive records company analysts. From Db2's standpoint, all these queries are equal, and are forwarded to the Optimizer. besides the fact that children, within the case of operational queries and warehouse queries they should still obviously be directed to entry the StoreLocation table within the warehouse. then again, the question from the company analyst in opposition t large facts tables may still likely entry the copy of the desk there. This outcomes in a proliferations of abilities access paths, and extra work for the Optimizer. happily, Db2 AI for z/OS can provide the Optimizer the tips it must make smart entry path choices.
the way it Works
The sequence of routine in Db2 AI for z/OS (See Reference 2) is frequently here:
right through a bind, rebind, put together or clarify operation, an SQL remark is handed to the Optimizer;
The Optimizer chooses the facts access course; as the choice is made, Db2 AI captures the SQL syntax, entry path option and question efficiency information (CPU used, and many others.) and passes it to a "discovering assignment";
The researching project, which can be completed on a zIIP processor (a non-regularly occurring-purpose CPU core that does not element into application licensing fees), interfaces with the machine discovering software (MLz mannequin capabilities) to shop this information in a mannequin;
because the amount of information in each model grows, the MLz Scoring service (which can also be done on a zIIP processor) analyzes the model records and rankings the behavior;
during the subsequent bind, rebind, put together or clarify, the Optimizer now has access to the scoring for SQL fashions, and makes acceptable alterations to access route decisions.
There are also a lot of person interfaces that give the administrator visibility to the fame of the amassed SQL remark performance facts and model scoring.
IBM's computer researching for zOS (MLz) offering is being used to extremely good effect in Db2 edition 12 to increase the performance of analytical queries in addition to operational queries and their associated purposes. This requires administration attention, as you ought to examine that your enterprise is prepared to devour these ML and AI conclusions. How will you measure the prices and benefits of the use of laptop discovering? Which IT aid staff have to be tasked to reviewing the result of mannequin scoring, and perhaps approving (or overriding) the effects? How will you evaluate and justify the assumptions that the utility makes about entry course decisions?
In different phrases, how well do you know your records, its distribution, its integrity and your current and proposed entry paths? this will check where the DBAs spend their time in helping analytics and operational utility efficiency.
# # #
John Campbell, IBM Db2 distinguished EngineerFrom "IBM Db2 AI for z/OS: increase IBM Db2 utility efficiency with computer discovering"https://www.worldofdb2.com/pursuits/ibm-db2-ai-for-z-os-increase-ibm-db2-software-efficiency-with-ma
Db2 AI for z/OShttps://www.ibm.com/aid/knowledgecenter/en/SSGKMA_1.1.0/src/ai/ai_home.html
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