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The-Open-Group OG0-023 : ArchiMate 2 Combined Part 1 and 2 Examination Exam

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Test Number : OG0-023
Test Name : ArchiMate 2 Combined Part 1 and 2 Examination
Vendor Name : The-Open-Group
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OG0-023 test Format | OG0-023 Course Contents | OG0-023 Course Outline | OG0-023 test Syllabus | OG0-023 test Objectives

This is a combined ArchiMate 2 Part 1 and Part 2 examination for candidates who want to achieve Level 2 certification directly.
Exam Name: ArchiMateģ 2 Combined Part 1 and Part 2
Exam Number: OG0-023 (English), OG0-023-ESL (ESL)
Qualification upon passing: ArchiMate 2 Certified
Delivered at: Authorized Open Group Examination Provider Testing Centers and through some ArchiMate Accredited Training Course Providers
Prerequisites: None
Supervised: Yes
Open Book: Dependent on section. This examination comprises two separate sections. The ArchiMate 2 Part 1 section is CLOSED Book. The ArchiMate 2 Part 2 section is OPEN book. An electronic copy of the specification is built into the test and becomes available in Part 2 only (*).
Exam type: The test comprises two sections. Section 1: 40 Simple Multiple Choice questions + Section 2: 8 Scenario Based, Complex Multiple Choice
Number of questions: 48
Pass score: The pass mark for Part 1 is 60%, which means 24 or more points out of maximum of 40 points. For Part 2, the pass mark is 70%, which means 28 or more points out of a maximum of 40 points. Note that you must pass both parts of the test to achieve an overall pass result. If you fail either part you fail the examination, however you only need retake the examination(s) corresponding to the failed section(s).
Time limit: 150 Minutes total (**). Each section has a maximum time limit as follows: 60 Minutes on ArchiMate 2 Part 1. 90 Minutes on ArchiMate 2 Part 2. Once you complete the ArchiMate 2 Part 1 section you cannot return to it. There is no break between sections; Part 1 directly follows Part 2.
Retake policy: If you fail you must wait one month before another attempt on any ArchiMate 2 examination. This applies even if you only need to retake one of the two parts of the examination.
Examination Fee: See Fees
Recommended Study: A Study Guide is available. The Self-Study Pack includes the Study Guide bundled with the Pocket Guide and other materials.

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Mining and IT-OT convergence | OG0-023 actual questions and test Cram

  • by Bas Mutsaers
  • cover Story
  • summary

    quickly ahead

  • The mining trade can benefit from a better adoption of ISA requirements to assist accelerate the productiveness event.
  • The need for good reporting and intelligence is better than ever to aid an effective operation for maximum construction and efficiency at variable throughput ranges.
  • Adopting ISA-95 models, business architecture teams will have a solid starting element for a connected corporation-¬†and are prone to have sufficient handle over their common method.
  • Mining and IT-OT convergenceRelevance of the a lot of ISA specifications to productivity, analytics, security, and digital know-how adoption in mining

    by way of Bas Mutsaers

    It seems like a long time ago that they began speakme about tips expertise (IT) - operational technology (OT) convergence, wireless applied sciences, and a mature approach to industrial safeguard. For these within the mining industry, youngsters, they may still advantage from a more robust adoption of ISA requisites to assist speed up the productivity adventure.

    Is it the appropriate time to adopt new techniques?

    ISA has currently fashioned a Mining and Metals Division. It should be pleasing to peer what this can mean for the verbal exchange, specifications, and viewpoints which are generated around mining. In fresh months, some elements of the trade have started to show the corner. Many resource shares are up, and most commodity expenses are up strongly because of persevered demand. this is evidenced in metallurgical coal share expenditures. it is also significant that iron ore and valuable metals prices have recovered from their contemporary lows.

    throughout the downturn, capital reduction and the low availability of extra money has forced the productiveness agenda at a stage not seen before in mining. there has been an incredible center of attention on the productiveness of existing belongings. consequently, the can charge per ton for many of the volume out there has been strongly decreased.

    determine 1. quantity increases through the majors have pushed out of the market.(wmt CFR = moist metric ton can charge and freight)


    Commodity expenditures have now back to their long-term fashion as a result of better businesses have focused on increasing the quantity of their current assets. this is depicted by the yellow areas in figure 1. This comes on the charge of the smaller, much less profitable belongings that are naturally pushed to the correct. in consequence, given their position on the curve, these assets aren't pleasing in a saturated market, even on the right charge point. The organizations within the higher facet of the cost curve (in purple) customarily do not have the identical leverage to adopt a productiveness agenda. they are typically smaller (or older) assets that are not as flexible or as effective as gigantic tier 1 ore their bodies. These groups often have less access to power, water, or transport, or are of an improved complexity (ore body or processing wants). several of these belongings might also even be nearing the conclusion of their life, and it conveniently doesn't make sense to sink any more cash into them devoid of an improved market demand or a lessen cost base.

    Capital reduction

    we have seen lots of examples of entities that at the moment are priced out of the market and in transient "care and protection" or up on the market. device inventories are extremely low because of tremendous capital reduction courses forced by using the accurate commodity expenses. Many sites are working each their cell fleet and their comminution plant with older machine and have renewal rates under their depreciation cost. That cannot ultimate, and funding will have to return when demand raises.

    transient underinvesting in preservation-connected drivers like safety and downtime needs to be tons extra carefully monitored and managed to steer clear of surprises. These factors are ever greater crucial to lean and productive construction and the license to operate. also, independent operation and maintenance-even from within the pit-is on the road map or already in execution with most predominant companies, a vogue that can not be stopped. traders have growing to be expectations for a high level of automation to hold individuals away from probably the most dangerous initiatives, which helps cut back the risks of property of their portfolio.

    The need for decent reporting and intelligence is enhanced than ever to assist a good operation, no longer simplest centered for "optimum creation," but additionally for "optimum efficiency at variable throughput ranges." This places businesses in place to serve greater worrying shoppers on the right fee aspect and pleasant with out giving away product.

    it is these high-performing operators which are adjusting their company fashions to be linked to up- and downstream production. it is a intent that ISA already has great supporters from the mining group. This group can see the advantages of leveraging the various standards accessible via ISA. Take, as an instance, the built-in coal power vegetation that autonomously devour coal in response to the "operations time table," and for this reason their web site vigor nominations (figure 2). For gold businesses, it is all about monitoring the gold construction at each and every stage of the procedure.

    whatever the commodity, the predictability goes up by using linking the construction time table to key enter variables of the mine in addition to to the favored output variables that inform the commodity buying and selling and chance management characteristic. With patrons increasingly annoying to understand how issues are produced, the relevance of the ISA standards is ever turning out to be to help meet the promise of the internet of things (IoT)\, smart grids, or the increasing demands for price chain flexibility. solving such constraints through ISA-ninety five commonplace adoption is probably going to speed up your results.


    determine 2. ISA-ninety five operations agenda per B2MML 6.0

      undertake ISA95 modeling

    How may still businesses go about it? Having an skilled group can assist beat nameplate degrees. Mature teams that have seen extra "surprising" situations and scenarios are premiere at returning their vegetation to a preferred state. As mining naturally has a lot of variability throughout many elements of the cost chain\, the adoption of application, know-how, company intelligence (BI), and analytics is essential for the success of many mining corporations. For these corporations to be in position to control their entire procedure, their IT/OT teams need a language to communicate their quite a few information and information needs. this is the place the ISA-ninety five commonplace has made a lot of change.

    traditionally, IT has owned the company planning capabilities (the enterprise resource planning [ERP]/office domain) at level 4 per the ordinary (figure three). The operational know-how crew has traditionally owned as a minimum tiers 0 through 2 and infrequently level 3, counting on it's level of activity in supporting the creation technique. The adoption of the typical has helped create interfacing and has resulted in sound however normal reporting solutions.


    determine 3. The ISA-ninety five average addresses horizontal and vertical integration of activities in the value chain during the adoption of a level for each and every pastime.


    Some agencies have now all started automating the facts administration side of these reports by using robotic technique automation (RPA), which helps conclude weekly, month-to-month, or yearly reporting within a subset of the time when automating 60-80 % of the manual work.

    The stage 2 utility solutions in the regular handle technique and gadget control functionality, but minimal product manage functionality. level three solutions commonly handle the extra complex actions and procedures like scheduling, but solutions in this house have traditionally now not been as obtainable and legit when compared to procedure manage gadget/supervisory manage and statistics acquisition solutions at stage 2. stage 4 business planning and logistics utility options traditionally include some reporting performance, but want correct integration with L0-3 per the common for these reports to be correct and well timed.

    Over time, users at every stage create quite a few reviews for every function, pastime, or unit operation. also, there is likely a edition for each time horizon (hour, day, week, and month). When adopting the ISA-95 average, your business structure groups have an outstanding beginning element for achieving a connected corporation and are more likely to have enough manage over their ordinary system.

    ISA-95 via enterprise to advertising and marketing Manufacturing Language (B2MML) addresses the foremost (minimal) interactions between average operations and business procedures, which it calls "actions." The different leading advantage of the ISA-ninety five typical is that the mixing of the desired "creation request" and potential of the pit, plant, rail, or loading arm "segments" can be suggested and adjusted in time. In ISA-95 here is defined as "the creation time table," the place the "work time table" suggests the supply and development on the construction floor.

    The intent of the ordinary is that it links product and machine availability as well as product constraints and pleasant constraints (like hardness and grade) concurrently through applying one or varied local or world models, reckoning on the level of implementation and maturity. excessive-performing operators agenda and predict product parameters from drilling, hauling, and sampling in the pit as accurately as viable, in order that the product hitting the comminution plant is already well understood. This helps the shift operators and metallurgists of the plant maximize the asset.

    with the aid of having the premiere information possible "at hand" at each stage of the process, the (optimum) productivity of the asset is eventually carried out.

    additional, to preserve the plant up and operating, americans and asset availability may also be regarded, together with monitoring and even requiring the expertise or capacities to operate particular actions. as an instance, drilling only continues when a complete group is underground to operate the activity safely. If somebody in that instance leaves a undeniable enviornment underground, the time table is informed with the aid of the dispatching function (e.g., VIMS), and ensuing actions stay away from blasting or drilling capabilities from being performed.

    in the case of remote or even thoroughly independent operations, there must be lots of statistics accessible to be sure all actions are under handle. it's the purpose that analytics is presently excessive on the agenda of many operators.


    The model and scenarios define the ordinary preferred mining price chain relationships, as smartly because the numerous domains via a layered and modular model. For IT business architects, it is how the Open group architecture Framework (TOGAF) from the Open community describes structure construction (ADM), purposeful business structure, methods structure, and know-how architecture.

    each TOGAF and the ISA-ninety nine common goal to create separate domains for selected capabilities or "actions," because the ISA-95 regular calls them. From a safety point of view, the change between both is that the ISA-99 commonplace is notably created across the OT domain, as a result of industrial automation has particular security requirements and challenges. in accordance with this, many average operators would say that specifications like these have been satisfactory to design, build, run, and retain an outstanding mining enterprise. however not anymore!

    further and further information is now purchasable. through advanced analytics, users can pinpoint the place to search for further productiveness good points throughout the price chain. Analytics options permit them to believe many additional variables that traditionally could not have been regarded or afforded inside the manage, manufacturing execution equipment, and even ERP domains. The power and flexible architecture of this know-how additionally permits beginning small or scaling up by using combining records from many domains and even across multiple sites. Third events, like long-established device producers, benchmark their equipment suggestions at a significant degree of constancy, and, in another areas, are living buying and selling assistance is at hand for use. during the past, the inability of low-cost computing vigour effectively didn't allow value chain modeling at this granularity. The aggregate of large information with synthetic intelligence (AI) opens an entire new latitude of probabilities. As this technology is maturing, there will nonetheless be enormous funding in this house, which should be required to obtain the subsequent degree of productiveness and protection across the value chain-holistically.

    The trade nowadays is still modeling product and system variables in the community for what one would call unit or cross-unit optimization, akin to ball mill optimization, grinding, or flotation.

    once in a while these capabilities are carried out in multivariable controllers within the manner handle layer. In other instances, the fashions take a seat in Layer three or 4 per the ISA-95 regular for other practical or historical factors. during the past couple of years, there was an improved investment and uptake of this sort of mannequin after corporations execute an preliminary analytics proof of thought (PoC), which is commonly aimed toward proving its skills to ordinary management. nevertheless, it is value asking the query given the analytics hype: what number of corporations crossed the chasm and have performed world rollouts of fashions in each and every of their core capabilities?

    From this perspective, mining is in the "early adopters" section, the place energy, banking, telecommunications, and retail industries might possibly be a step ahead, because the majority have adopted analytics. For mining processing, the power business (upstream and refining) is likely to be where complex and mature fashions already exist and the place the basic unit operation functions are extra repeatable and predictable. directly applying these models within the mining industry isn't all the time possible, as a result of in mining variability appears throughout the value chain in distinctive areas. here is regularly left out when automation or software providers want to bring in options from other industries. The attributes and variabilities of diverse commodities also influence in the need to handle a rather different technique flowsheet, for this reason posing the biggest challenge for brand new tier 1 mining organizations that historically have aimed for a various portfolio to reduce financial publicity and risk.

    the way to start getting the correct data?

    focused on the core actions that all of the property have in normal is a very good starting aspect when hunting for extra productivity-and is a part of the intent at the back of the ISA-ninety five normal. one more improvement of the commonplace is that the definitions support with verbal exchange by means of a typical language. complex, mining-selected naming conventions do not allow engineers to collaborate with analysts or collaborate with programmers or mining, equipment, and expertise specialists (METS). These specialists are all essential in operating latest mines, but historically don't all have a powerful IT history.

    Already the ISA integration definitions for the leading integration aspects between core activities is neatly described by way of B2MML interfaces that customarily use XML. These interfaces support speed up how mining methods should still be communicating, both vertically and horizontally throughout the IT/OT answer structure.

    besides the advantages of the usual, there are primary expertise advances in analytics and process handle, the place OPC-UA is now applied efficiently for cozy information communication across domains. earlier protocols had integration and protection challenges, because they were no longer natively designed to resolve that issue.

    Is the reply to productivity at once developing one enormous, international, connected mannequin of your total cost chain?

    The reply is "no." Analytics initiatives in early adopter mining companies have typically been more successful when approached in the community earlier than trying a greater international strategy. After performing a few concentrated PoCs, it turns into clearer a way to scale and undertake fashions into the a number of features for a more mature automatic and international approach that considers parameters relevant to the total cost chain. groups need to find out how to collaborate and check what the facts potential before adjusting their processes.

    When team self assurance goes up, it remains sensible to birth with a low-constancy strategy to look the move value-chain consequences of specific local system set factor adjustments on the common goal features earlier than any heavy lifting is considered. a light "world" model with variables like price and grade and perhaps house time of production is a pretty good beginning factor before because the numerous other feasible variables. With at the least these parameters as a baseline, it will develop into greater glaring where mannequin adjustments or oversimplification might be causing suboptimization.

    easy handle model

    The gentle handle model, hence, is an excellent baseline for comparing the development of the common aim capabilities before investing greater analytics dollars in bigger and extra complex multivariable (computer-studying) models. Having the sort of baseline is a very good book to see in case you can obtain nevertheless greater price when expanding the fidelity of your sub- or global fashions. If after some early wins, the "cost per analytics dollar invested" decreases, there is still the most excellent challenge of beginning to connect to even larger enterprise models that go beyond certain belongings.

    an outstanding illustration of such an commercial enterprise mannequin is mixing from varied iron ore websites (e.g., Pilbara, Hunter Valley, and Minas Gerais) to optimize product giveaway at the start with stockpile inventory, however steadily decreasing inventories and charges as the fashions run quicker and superior. This makes it possible for organizations to alternate from average produce-to-stock models to just-in-time fashions. Such models handiest run smartly if they do not dilute the net existing price and long-time period strategy of your operation.

    one more instance of an commercial enterprise mannequin is modeling shared rail potential with construction effectivity in mind. Allocating rail capacity dynamically for diverse conclusion users in accordance with existing reputation and suppleness of the price chain towards contract variables and service stages is a pretty good area to discover with this new expertise.

    sooner or later, these types of "tremendous fashions" could have a fair bigger general influence on revenue as a substitute of optimizing product extent, fine, or grade for anyone selected web site. even more cost can also be captured for both producers and end users if actual-time slot reserving (including penalties for any over or under start) may also be utilized over time, as is the case in different industries (e.g., oil terminals and refineries).


    shooting such complex challenges is doubtlessly no longer far away now that combined technology and software options are beginning to scale and are extra open in nature, and now that initial respectable proof of concepts have already captured enormous price. There have been some strong capabilities advantages for the more contemporary greenfield belongings to adopt new technology that has more and more desirable sensor records. those greenfield websites have usually adopted different and greater dynamic reporting systems and architectures.

    you may are expecting these sites to be placed for more suitable analytics consequences. despite the fact, from a normal mining standpoint, these newer websites commonly combat to ramp as much as nameplate ranges. They frequently shouldn't have a mature group or do have a predictable canonical and useful/function-based mostly reporting solution to fall again on, as it budgets have long past to the latest and top of the line analytics architectures and minimal money is spent on usual reporting.

    Two-degree strategy

    there's a strong case, for this reason, for starting a lightweight hybrid reporting mannequin and a greatest-apply analytics architecture. Mining analytics initiatives additionally require mining specialists to be more than a bit computer savvy when working with huge facts servers and a variety of nontraditional client tools to function regression, clustering, determination timber, and nearest neighbor laptop-getting to know algorithms (to point out simply a couple).

    The mature teams that have been "taking part in within the sandpit" for a long time birth seeing how everything is putting collectively for key bottlenecks within the pit or plant. For mining experts to be efficient in such an atmosphere and achieve productiveness outcomes requires some "hands on the tools" and practicing to use a number of machine-learning fashions.

    It takes time for these teams to understand the primary requirements of first having terrific statistics and using one general language to aid factor (with respect) "artistic analytics propeller heads" in the right course. in the event that they focal point best on analytics tools, it could actually take a while before the method is known from the information.


    When IT and analytics groups are far flung, it's hard for them to position facts in the correct context. Optimization tasks performed remotely from the web site take a lot extra time or very large (and therefore high priced) journey to make massive findings. "no longer figuring out" the physical system of the plant and its variability concerns is still the correct reason why many analytics and development initiatives fail.

    When first rate piping and instrumentation diagrams, system manage charts, and alarming limits are at hand and the physical design of the asset is purchasable in two- and third-dimensional drawings or fashions, being far off is usually an awful lot less of an issue. nonetheless, there's a strong advantage of being local. journey indicates that engineering artifacts of brownfield sites are not at all times stored up so far, and vegetation continuously retain changing to obtain or Strengthen nameplate degrees. Engineering design databases and drawings are an outstanding source for analysts, who commonly need to name upon website experts to consider issues or physical plant obstacles.

    it is a pity that historically engineering, procurement and building (EPC) and engineering, procurement, and development administration (EPCM) will not have lots opportunity to jointly put effort in an extended beginning-up part with operations. teams ought to depend on technique handle carriers or system integrators who typically are not as intimate with the metallurgy and geology of the reserve and are extra concentrated on hardware, software, and conventional unit manage than on product handle. this is an opportunity for the industry as a whole.

    Collaboration with the METS

    There must be the recognition that having METS competencies in development groups (for both seller and operator) may have a huge impact. it's the skilled METS who can factor out why concerns arise during the (in)consistency of the metallurgy, geology, geo-expertise, and geo-chemical capabilities and the way facts and preliminary fashions can relate to functions like planning, scheduling, operations, protection, and advantage downtime.

    An built-in crew that talks to technology carriers, but is also intimate with the manner, IT/OT technology, and even the softer facet of people and change processes will support the most efficient groups undertake change all of a sudden and truly achieve high efficiency. compelled by way of the productiveness agenda, the majors are making inroads in growing some of these go-functional groups. To them, it will soon be clear how production variables relate to power and water use, in addition to how inputs relate to safer and extra effective operations. they will quickly more desirable understand how these parameters trigger downtime without delay or ultimately.

    The groups that are persistent in their adventure will subsequently find the actual or herbal limits of device and its relationships to ore attributes like hardness. As in different industries, the innovators and early adopters will soon be followed by way of the early and late majority so as to consist of most of the tier 2 avid gamers which are additionally beginning to make investments in this ability. via then, application solutions and the procedures that result in reality finding, interpretation, and modeling for this business may have matured.

    Embedding ideal observe

    gigantic challenges are nonetheless forward before this can also be carried out. fresh research indicates that only 50 p.c of analytics tasks provide a major and anticipated upside.

    even if some have finished precise mark downs, many projects most effective have done under-common effects. every other tasks had been placed on cling halfway via unless greater system and ownership in the firm is described.

    beginning with poor information has additionally been an important reason behind this. additionally, initiatives like these are at the beginning viewed basically as expertise tasks "for companies to show" and the business to advantage. After a vendor-led strategy, the groups often go returned to old habits when the challenge is finished with out embedding the new methods and discovering elements into their enterprise. hence, like with great and protection, analytics capacity will soon be a responsibility for many-no longer most effective for the group that gets to play with it throughout the first initiatives and PoCs. businesses will deserve to involve companies that provide the technology, utility, and methodology, however will should put their personal governance into area to make analytics a part of their core operating model and business strategies and programs. now not many aid organizations are already at that stage of maturity when it involves analytics.

    Theoretical strategy

    an extra component that slows down adoption and progress is that analytics is approached very in a different way from ordinary reporting and BI, so should now not be treated the equal. in contrast to reporting that is often predefined and without too many surprises, analytics initiatives convey up many theoretical concepts and counsel. commonly advice that theoretically make sense are not making first rate enterprise experience. basically enforcing findings in the latest investment local weather and brownfield ambiance to seize the talents consequences is not all the time feasible.

    Some findings are prone to be extra structural in nature. via ordinary reporting and BI, the "easy stuff" has already been found in this trade that has existed for a lot of centuries.

    To make cash in the mining trade, there has all the time been the need to truly take into account the mining system. This has in the past resulted in efficient mining operations, and this can also be the case sooner or later. It is likely, although, that a much better stage of automation and machine-gaining knowledge of fashions will overtake advanced capabilities that geologists, lab analysts, maintenance personnel, and operations groups cope with nowadays. they can see crucial fashions and decentralized submodels simply because providers will wish to differentiate their technology products and functions.

    for this reason, investing in analytics and IoT know-how (i.e., proposing the sensors, the records, and infrequently the handle) is investing in understanding the technique before identifying how to subsequently mannequin and automate it for more advantageous productiveness, downtime, and price discount. best agencies that go all in on the analytics experience will locate all these dimensions and will be in a position to run their operations at the decrease cost percentile that this know-how opportunity opens up.

    by using defining realistic improvement ambitions and appropriate chance degrees, businesses will make the anticipated progress. Some will benefit enormously from their adjustments and should outline a inexpensive and flexible operation that may respond to reside commodity trading and chance management market information.

    currently it is just analytics know-how that has the potential potential to take these components into consideration, so high-constancy fashions can be put in area to react to any main and lagging indicators of the enterprise for any time horizon-are living.

    Does that put other current software companies out of business? absolutely now not. The IT and OT processes nevertheless should be run and managed, nonetheless it will be the carriers which have the flexible highway maps, open application, and know-how that clients might be trying to find. These providers can accommodate this new intelligence and assist end clients embed repeatable models into their software libraries. This puts these vendors first in rank to be the productiveness companions of the future.

    maintaining it comfortable

    eventually, mining will only be sustainable if existing and new company intellectual property is included. in any case, mining contains colossal money. With production tremendously affecting the day by day share rate, americans will try to have an area, and for this reason mining programs have increasingly develop into a target for hackers.

    Miners cannot take a seat returned and look forward to this to flow, as their growing latitude of independent equipment and sophisticated expensive technology will should be saved in the correct arms. Intrusions should have minimal affect, if handiest to keep public believe and the license to operate.

    It should be enjoyable to look how the adoption rate of ISA standards like ISA-99 is mixed with different cybersecurity and business structure specifications and the way IT and OT environments might merge into one seamless working ambiance without any seen vertical layers or visible horizontal siloes.

    The cognizance of the merits is there, and these requirements have now reached the boardrooms of lots of the fundamental groups, where previously only a handful of discipline-matter experts would have. The cloud via now has some distance matured, and extra OT programs are cloud-enabled, the place IT programs have already long gone this way in contemporary years. during this enviornment, utility providers are main the style, and consumers are still playing catch up.

    It are usually not many years earlier than they see the first operations that leverage only 1 relaxed seamless and related modular ambiance with out all of the layers that they want today to achieve true-time efficiency and protection. perhaps ISA should create an initiative that goals for the next degree in collaboration with software carriers, technology carriers, and end clients.

    until that time, I cannot wait to see the merits of a really related and optimized commercial enterprise.

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