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|Exam Name||:||IBM SPSS Modeler - Business(R) Partner Data Analyst Associate|
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|Updated On||:||April 18, 2018|
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IBMSPSSMBPDA Certification Brain Dumps Source : IBM SPSS Modeler - Business(R) Partner Data Analyst Associate
Test Code : IBMSPSSMBPDA
Test Name : IBM SPSS Modeler - Business(R) Partner Data Analyst Associate
Vendor Name : IBM
Q&A : 25 Brain Dump Questions
For unalloyed venality, human trafficking has metastasized into one of the most horrific equipped crimes against humanity when you consider that the Holocaust. It’s estimated that forty million individuals, 80 p.c of them girls and ladies, are presently ensnared in a nightmare of abduction, compelled labor, sex work and, tremendously, the elimination of organs on the market and transplant.
Trafficking occurs within the shadows everywhere the area, anyplace criminals, working in networks, can goal susceptible individuals. It’s occurring in the U.S. (the place many of those taken through traffickers are assumed to be runaways) and the leisure of the developed world, however most intensively it’s in the much less-developed world. Captive infants are intimidated into silence – or brainwashed into thinking their captors care about them. Impoverished and held in foreign counties with foreign languages, get away is rare.
Now IBM in alliance with UK-based activist group stop the Traffik and a dozen other humanitarian NGOs and legislations enforcement corporations, is main an effort to advance a world, centralized incident reporting, facts sharing and predictive analytics gadget with the purpose of gaining intelligence into where and when trafficking happens – and may ensue. The tech huge’s global Citizenship Initiative has dedicated greater than 20 facts scientists, programmers and building managers to building the system, called cease the Traffik Hub (or, with no trouble, the Hub), which contains an array of IBM information assortment, administration and analytics tools.
At an emotional and inspirational presentation right through this week’s IBM think convention in Las Vegas, a pacesetter of stop the Traffik (the names of all and sundry quoted in this article have been withheld to give protection to their safeguard) spoke concerning the scourge of trafficking and its global scale – together with the exciting value kidnapped people hold for crook and terrorist trafficking rings.
“i will take an unlawful bullet and shoot it as soon as. i can take an unlawful drug and shoot it up as soon as. however with a person or a young child i will use them over and over once more, i will diversify how i use them, i will put them in an condominium in the back of a door and get them to develop my hashish, i can put them on the corner of a road (as a intercourse employee), i will put them in the back of a sandwich store – your sandwich shop, the one you go to for lunch – and also you won’t see them until the door opens. They’re doing the work and they’re dwelling within the back, they sleep on a mattress handcuffed to a radiator and that they’re fed through dog bowl. i will take them to a place and put them in a huge tent with hundreds of beds and their organs can also be eliminated and that i can promote these organs for big profit. and then I depart them there. You see? This product is mind-blowing.”
the place does trafficking happen? commonly, it takes vicinity in the wake of failures, each natural and man-made that result in refugee crises. much less-developed international locations with severe poverty and susceptible legislations enforcement (really, police occasionally work in concert with traffickers) is one other breeding ground. a standard trafficking tactic is to convince destitute folks that they've a visa to the U.S. or Europe for his or her infants, who may be entered in special job practicing apprenticeship or different tutorial programs enabling them to build new lives. For the traffickers, it’s about targeting totally at-possibility, defenseless populations.
“What we see within the records around refugees is we be aware of they’re susceptible as a result of they’re homeless, frequently jobless, they’re often in countries the place they don’t talk the native language, they don’t have felony documentation, and that they’re in a place the place they can be coerced simply,” talked about IBM’s mission chief for the cease the Traffik Hub equipment. “so that you see trafficked individuals and the numbers spike following (mess ups) on a extremely constant stage… The internet outcome is we comprehend the activities increase, we recognize there’s more criminal trafficking undertaking, we recognize that they (traffickers) see the storms (and other failures) where they’re going to ensue and that they install their operations to prey on these people.”
As trafficking has grown, so has the sophistication of trafficking networks.
“The system moves amongst brokers from the native, from the regional, from the national to the overseas," pointed out the stop the Traffik supervisor. "It’s a brokerage gadget that’s both embedded and scattered, it uses know-how and its provide chain reaches into every neighborhood. It’s no longer all the time enormously equipped, however it’s a gadget that’s inventive, persistent and they share.”
with out more desirable understanding of the traffickers shadowy and shifting recommendations, trafficking will proceed unabated.
“We’re dropping as a result of we’re at all times reacting, we’re all the time behind,” the cease the Traffik manager talked about. “we are able to in no way rescue or prosecute our method out of this crime. What’s needed is predictive, preventive intelligence. We deserve to get their first, to get to the routes and the hotspots, we deserve to find and predict and get there.”
The stop the Traffik Hub has been beneath development for five years, in accordance with the IBM group leader, and should be wholly operational later this 12 months. “It’s the simplest consortium of its measurement agreeing to do facts sharing at this depth,” he told EnterpriseTech.
The equipment will contain expertise each superior and commonplace – with a crucial role performed by means of the reporting and GPS capabilities of the ever-present sensible cellphone. in many less-developed international locations, the IBM’er explained, even when trafficking is accompanied, there is not any safe method to document an incident. here's since the police and govt groups commonly can’t be relied on. but with a sensible telephone within the palms of, say, village residents in Africa who have seen an abduction, they could report the suspected crime to the Hub.
“The app for incident reporting is a key source where the public can publish intelligence about what they’re seeing,” pointed out the IBM’er. “That goes correct into the Hub, it’s a key facts supply that’s no longer in fact collected any place else. There are advice hotlines in distinctive countries and regions , there are some apps in use in some countries, however this is whatever thing the place every person on the road level can interact.”
additionally, wise phones can obtain warnings from the Hub that a trafficking attack may occur soon, so that people with in any other case limited communications with the outdoor world can flee their areas or in any other case shield themselves.
“These (mobile phones) are going to enter the fingers of the most susceptible people on this planet in the following couple of years,” the cease the Traffik manager talked about. “That gives us an opportunity, that offers us whatever we are able to work with. The simplest method we'll cease trafficking is by means of building communities that are resilient to trafficking, through sharing the suggestions, and this (the smart mobilephone) is the very factor it truly is a online game changer, here is the democratization of assistance. It’s going to help create communities that are excessive chance and low income for the trafficker.”
The IBM group leader assigned to the Hub venture noted the system is undergoing a two-phase development technique. phase 1 is the collection, organization and management of an array of structured and unstructured records from distinctive sources (UNICEF, the world fitness firm, the a number of anti-trafficking NGOs involved within the challenge, news and social media reviews, mobile messages and phone GPS statistics) that might be visualized on IBM Watson cognitive computing dashboards.
phase 2 is the building of customized algorithms mixed with Watson cognitive and IBM analytics tools, such as SPSS records (Statistical equipment for the Social Sciences), which contains partner products used for survey authoring and deployment (IBM SPSS records assortment, now divested beneath UNICOM Intelligence), facts mining (IBM SPSS Modeler), text analytics, and collaboration and deployment (batch and automatic scoring features).
“as soon as the records’s there, that you can flip on a definite analytics tool,” the IBM team leader mentioned, “that you may work with all that records in different ways, mix it in alternative ways, collate it in other ways, all these styles of things, reckoning on what we’re seeking to locate.”
This includes conducting predictive analytics on trafficking likelihoods with the aid of plugging distinct variables into the gadget: via nation or combos of countries, with the aid of greater vs. lower GDP international locations/cities/neighborhoods; with the aid of season or with the aid of classification of climate disasters; or when wars trigger refugee problems.
He referred to IBM also will deploy conferences wherein trafficking specialists from companies worried in the task will sit down down with technologists to work collectively on wringing trafficking perception from the facts.
“everyone has questions about the most dynamic, of the 56 different Watson APIs,” he referred to, “and these forms of issues are being worked on in collaborative jam periods. We’ll herald a leading IBM facts scientist (identify withheld), he’ll be our power user / expert / superstar information scientist, and he can instantly see what the records sources are, we may give him an overview on what we feel we should zero in on, and he can right away ruin down records sets and see patterns using the know-how and additionally with an talents that’s world type. here's key, because the facts’s handiest decent and positive if you recognize the way to work with it. And we're going to draw on one of the surest individuals on earth.”
From the perspective of the cease the site visitors manager, the Hub equipment and the coalition dedicated to constructing it presents a historic probability to make use of advanced technology, information sharing and world communications to fight trafficking way more easily.
“We need to shine a lightweight on this problem. that you would be able to’t cease what which you can’t see, and in the intervening time, that you would be able to’t see it. And that’s why in the conclusion we should carry records into the core… We’re trying to find inclined communities, and we’re looking to convert that into messages, tips, facebook adverts, social media communications, so that you can reach those communities and provides them the counsel they most need.
“I agree with the only means we are able to cease trafficking, and by that I imply disrupting this crime, is basically through this partnership. I believe we now have a moment in history to do something distinctive, if we definitely find out how to share and believe one one other, we might build whatever that might actually force the traffickers to have to consider twice.”
Gartner published its newest Magic Quadrant for statistics science and computer gaining knowledge of platforms last week. Sixteen vendors made reduce for Gartner’s report this 12 months, the equal number as closing year. however, there have been some crucial changes, together with some providers who made big jumps and a few who lost floor.
The largest change arguably was the addition of “computer getting to know” to the identify of Gartner’s record. “youngsters facts science and computer getting to know are a little distinct,” the Gartner analysts write, “they are usually considered collectively and sometimes thought to be synonymous.”
With that talked about, listed here are the winners and losers from Gartner’s Magic Quadrant for records Science and laptop-discovering systems for 2018, and those who maintained their ground:Winners
H2O stepped forward from the Visionaries Quadrant remaining year into the Leaders Quadrant. definitely, H2O scored the highest when it comes to its completeness of vision out of all of the companies. Gartner lauded H2O’s guide for reducing-part tech, like deep researching and hybrid-cloud support, and for a way it’s develop into a “quasi-industry regular.” high consumer pride also boosts H2O’s ranking. Cautions include a primarily code-centric approach (not for the element-and-click crowd), an absence of compelling information prep and visualization features, and a “provide it all away” company model that’s totally based on revenue from tech guide.
Alteryx moved up from the Challenges Quadrant to the chief’s Quadrant, one of the most greatest jumps in this 12 months’s file. In its evaluation, Gartner appreciated how Alteryx is constructing more automation and rules-primarily based strategies into its platform to support shoppers operationalize facts science insights, however puzzled the place computerized mannequin building capabilities have been. The analyst neighborhood also cited the enterprise’s revenues and consumer satisfaction (it didn’t mention the tremendous information breach that impacted Alteryx final 12 months several after it went public). Drawbacks of the enterprise encompass a perception that Alteryx is just for information coaching (it’s no longer) and business readiness.
Anaconda (formerly Continuum Analytics) debuted in the area of interest avid gamers quadrant. Gartner gave the impression impressed by using Anaconda’s means to federate Python-based ML model building for tremendous numbers of developers. It liked the open source element of Anaconda’s work, and how Anaconda is aiding and even indemnifying open source Python-based records science libraries. however raised a few flags, including at the very least automation in the product and documentation. beginning Anaconda clients, Gartner says, “can have difficulty finding their method through the Python ‘jungle.'”
Databricks debuts in the Visionaries Quadrant on the energy of its cloud-based mostly providing in keeping with Apache Spark. in view that Databricks spearheads the building of Spark, its technical bona fides are unquestioned, specifically for working with huge information units. Gartner additionally admired Databricks flexibility, as evidenced through its work in streaming, deep gaining knowledge of, and web of issues (IoT) areas, not to point out helping assorted languages (R, Scala, Python) with its laptop-primarily based construction environment. Caveats to Databricks’ approach include market attention, visibility of cost linked to the underlying third-birthday party cloud platform, and debugging.
Domino facts Lab finds itself once once more a Visionary in Gartner’s quadrant, the place it has more suitable its standing a bit of and is now clustered correct up in opposition t two tech behemoths, IBM and Microsoft. Gartner become impressed via Domino’s flexibility, extensibility, openness, and lauded the enterprise’s tech assist and the way it contains consumer’s ideas into the product. Caveats consist of a “excessive technical bar,” some problem getting begun with ML initiatives, an absence of “precanned” solutions, and business-grade capabilities.
KNIME retains its spot within the leader’s Quadrant, a spot it has occupied for somewhat some time, in each this quadrant and Gartner’s superior analytics stories. Gartner is impressed with how the Swiss company offers a unified and constant information science experience, and the way it integrates with R, Python, Spark, H2O.ai, Weka, DL4J and Keras. automatic model construction and deployment earned it high marks, while within your budget earned it extra admiration. Drawbacks of the KNIME method center of attention on a lack of marketing and sales innovation, in addition to lack of industrial options (KNIME is all open supply). performance and scalabiity, particularly with enormous records sets, become also referred to.Losers
IBM lost a ton of ground in Gartner’s Magic Quadrant. It previously occupied the sweet spot in the quadrant — farthest up and to the appropriate — but Gartner dinged large Blue extensively throughout both metrics, completeness of vision and potential to execute. Gartner evaluated two SPSS products for its fresh evaluation; its information Science experience didn’t meet the skills. Strengths consist of IBM’s market share (9.5% of the total facts science market, Gartner says), frequently robust analytic capabilities for consultants and learners alike, amazing facts preparation and mannequin management, and a legacy user base. Cautions encompass an absence of a unified providing, the transition to DSX, and prevalent confusion about Watson. excessive can charge and a bad client journey also hurt IBM.
Teradata continues to be in the area of interest player’s class, but it fell radically and lines the bottom potential to execute out of all 16 carriers featured. Gartner appreciated the performance and scalability offerd with the aid of the San Diego, California, analytic enterprise’s items. It bought excessive marks for aiding current data structures, for having pre-canned options, and for having an army of consultants. however changed into dinged for mannequin construction in the Unified statistics architecture,, pricing and platform coherence.
Angoss suffered a deterioration in its “capability to execute” based on Gartner and turned into demoted from the Challenger’s quadrant into the niche player’s quadrant. The enterprise, which become bought with the aid of DataWatch in January, develops a simple to use and neatly-rounded computer information science product, Gartner says. Its embody of open supply tools like Spark, TensorFlow, and the libraries from H2O bolster the credentials for the KnowledgeSEEKER and KnowledgeSTUDIO products. however market traction, a desktop-best belief, and restrained business use (it’s generally used in banking) make up the cautions.Maintainers
RapidMiner repeated as a member of the vaunted chief’s Quadrant, thanks to its “well-rounded and easy-to-use” platform. Gartner says RapidMinder’s application, which is by and large open source, presents “deep and vast” modeling capabilities, and it changed into particularly impressed with the way it enables retraining of fashions on new facts. Caveats consist of an ongoing tendency so as to add closed-source components to its business product. records visualization and documentation are two areas it might probably work on, Gartner says.
SAS remains in the Leaders Quadrant, but misplaced some ground in the completeness of vision and means to execute categories. The analyst community appreciated the North Carolina company’s visible Analytics product and its open Viya structure, and lauded its overall “operational excellence.” but it faulted SAS for its advertising and marketing and sales execution, its complicated and multi-pronged product method, and its product and sales strategy.
Microsoft lost some floor this yr. It changed into on the cusp of relocating as much as the chief’s quadrant last year, but now finds itself within the middle of the pack within the Visionaries quadrant. The company’s capacity to present products, notably Azure computing device researching Studio, on the cloud is undoubtedly a huge plus in Microsoft’s ebook, as are its advertising execution, mindshare, and help. It also activities a “visionary roadmap,” in response to Gartner, which possibly explains its list in this quadrant. Drawbacks encompass a cloud-only strategy, a lack of records guidance capabilities, and market responsiveness.
SAP moved a bit of within the area of interest players class for its SAP Predictive Analytics platform, which up to now changed into marketed below the company Objects brandf. Gartner gave SAP high marks for collaboration, its unified Leonardo computer getting to know means, and “some potent product capabilities.” however it dinged the German application massive for its fragmented and ambiguous toolchain, and its sluggish adoption of cognitive technologies, and its method to cloud.
TIBCO utility debuted within the Challenger’s Quadrant, largely on the again of two 2017 acquisitions: Statistica and Alpine records. Gartner lauded the enterprise for its mannequin administration and operationalization capabilities, in addition to its guide for IoT use situations and its client assist. lower marks were recorded for the number of instances Statistica has modified arms (4 times in 4 years), as well as for cloud capabilities, end-to-conclusion integration, and efficiency and scalability.
MathWorks, the developer of MATLAB, misplaced a little bit floor. It became solidly in the Challenger’s quadrant last yr, and now finds itself on the edge of falling into the area of interest player’s quadrant. The analyst group cites a big put in base that’s fairly loyal as a big plus for MathWorks, specifically in areas like engineering, manufacturing, and quantitative finance. Negatives include an absence of focus for different use situations, like marketing, sales, or customer carrier; a lack of center of attention on incorporating open supply expertise; and bad client feedback on the business’s willingness to comprise requests into the product.
Dataiku finds itself in the Visionary Quadrant, the same area it become last year. besides the fact that children, it misplaced ground alongside both axes. Gartner is still impressed with the aid of the overall ease-of-use of working with the Dataiku DSS platform, and the way without delay users can get begun with prototyping computing device getting to know projects. It also likes the “pluggable” architecture that lets clients contain fashions developed in different environments (like Spark MLLib and the ever-popular H2O providing). Cautions include the procedure of moving from building into production, an absence of automation, and pricing.
Microsoft Surges in Gartner Quadrant with vigor BI
How AI Fares in Gartner’s newest Hype Cycle
IBMSPSSMBPDA Certification Brain Dumps Source : IBM SPSS Modeler - Business(R) Partner Data Analyst Associate
Test Code : IBMSPSSMBPDA
Test Name : IBM SPSS Modeler - Business(R) Partner Data Analyst Associate
Vendor Name : IBM
Q&A : 25 Brain Dump Questions
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Certiport [3 Certification Exam(s) ]
CheckPoint [39 Certification Exam(s) ]
CIPS [4 Certification Exam(s) ]
Cisco [305 Certification Exam(s) ]
Citrix [46 Certification Exam(s) ]
CIW [17 Certification Exam(s) ]
Cloudera [10 Certification Exam(s) ]
Cognos [19 Certification Exam(s) ]
College-Board [2 Certification Exam(s) ]
CompTIA [72 Certification Exam(s) ]
ComputerAssociates [6 Certification Exam(s) ]
CPP-Institute [1 Certification Exam(s) ]
CWNA [1 Certification Exam(s) ]
CWNP [13 Certification Exam(s) ]
Dassault [2 Certification Exam(s) ]
DELL [9 Certification Exam(s) ]
DMI [1 Certification Exam(s) ]
ECCouncil [21 Certification Exam(s) ]
ECDL [1 Certification Exam(s) ]
EMC [126 Certification Exam(s) ]
Enterasys [13 Certification Exam(s) ]
Ericsson [5 Certification Exam(s) ]
Esri [2 Certification Exam(s) ]
ExamExpress [15 Certification Exam(s) ]
Exin [40 Certification Exam(s) ]
ExtremeNetworks [3 Certification Exam(s) ]
F5-Networks [20 Certification Exam(s) ]
Filemaker [9 Certification Exam(s) ]
Financial [36 Certification Exam(s) ]
Fortinet [12 Certification Exam(s) ]
Foundry [6 Certification Exam(s) ]
Fujitsu [2 Certification Exam(s) ]
GAQM [8 Certification Exam(s) ]
Genesys [4 Certification Exam(s) ]
GIAC [15 Certification Exam(s) ]
Google [4 Certification Exam(s) ]
GuidanceSoftware [2 Certification Exam(s) ]
H3C [1 Certification Exam(s) ]
HDI [9 Certification Exam(s) ]
Healthcare [3 Certification Exam(s) ]
HIPAA [2 Certification Exam(s) ]
Hitachi [27 Certification Exam(s) ]
Hortonworks [4 Certification Exam(s) ]
Hospitality [2 Certification Exam(s) ]
HP [735 Certification Exam(s) ]
HR [2 Certification Exam(s) ]
HRCI [1 Certification Exam(s) ]
Huawei [21 Certification Exam(s) ]
Hyperion [10 Certification Exam(s) ]
IBM [1516 Certification Exam(s) ]
IBQH [1 Certification Exam(s) ]
ICDL [6 Certification Exam(s) ]
IEEE [1 Certification Exam(s) ]
IELTS [1 Certification Exam(s) ]
IFPUG [1 Certification Exam(s) ]
IIA [3 Certification Exam(s) ]
IIBA [2 Certification Exam(s) ]
IISFA [1 Certification Exam(s) ]
Intel [2 Certification Exam(s) ]
IQN [1 Certification Exam(s) ]
IRS [1 Certification Exam(s) ]
ISA [1 Certification Exam(s) ]
ISACA [4 Certification Exam(s) ]
ISC2 [6 Certification Exam(s) ]
ISEB [24 Certification Exam(s) ]
Isilon [4 Certification Exam(s) ]
ISM [6 Certification Exam(s) ]
iSQI [7 Certification Exam(s) ]
Juniper [61 Certification Exam(s) ]
Legato [5 Certification Exam(s) ]
Liferay [1 Certification Exam(s) ]
Lotus [66 Certification Exam(s) ]
LPI [21 Certification Exam(s) ]
LSI [3 Certification Exam(s) ]
Magento [3 Certification Exam(s) ]
Maintenance [2 Certification Exam(s) ]
McAfee [8 Certification Exam(s) ]
McData [3 Certification Exam(s) ]
Medical [25 Certification Exam(s) ]
Microsoft [354 Certification Exam(s) ]
Mile2 [2 Certification Exam(s) ]
Military [1 Certification Exam(s) ]
Misc [1 Certification Exam(s) ]
Motorola [7 Certification Exam(s) ]
mySQL [4 Certification Exam(s) ]
NCLEX [2 Certification Exam(s) ]
Network-General [12 Certification Exam(s) ]
NetworkAppliance [36 Certification Exam(s) ]
NI [1 Certification Exam(s) ]
Nokia [6 Certification Exam(s) ]
Nortel [130 Certification Exam(s) ]
Novell [37 Certification Exam(s) ]
OMG [10 Certification Exam(s) ]
Oracle [256 Certification Exam(s) ]
P&C [1 Certification Exam(s) ]
Palo-Alto [3 Certification Exam(s) ]
PARCC [1 Certification Exam(s) ]
PayPal [1 Certification Exam(s) ]
Pegasystems [11 Certification Exam(s) ]
PEOPLECERT [4 Certification Exam(s) ]
PMI [15 Certification Exam(s) ]
Polycom [2 Certification Exam(s) ]
PostgreSQL-CE [1 Certification Exam(s) ]
Prince2 [6 Certification Exam(s) ]
PRMIA [1 Certification Exam(s) ]
PsychCorp [1 Certification Exam(s) ]
PTCB [2 Certification Exam(s) ]
QAI [1 Certification Exam(s) ]
QlikView [1 Certification Exam(s) ]
Quality-Assurance [7 Certification Exam(s) ]
RACC [1 Certification Exam(s) ]
Real-Estate [1 Certification Exam(s) ]
RedHat [8 Certification Exam(s) ]
RES [5 Certification Exam(s) ]
Riverbed [8 Certification Exam(s) ]
RSA [15 Certification Exam(s) ]
Sair [8 Certification Exam(s) ]
Salesforce [5 Certification Exam(s) ]
SANS [1 Certification Exam(s) ]
SAP [98 Certification Exam(s) ]
SASInstitute [15 Certification Exam(s) ]
SAT [1 Certification Exam(s) ]
SCO [9 Certification Exam(s) ]
SCP [6 Certification Exam(s) ]
SDI [3 Certification Exam(s) ]
See-Beyond [1 Certification Exam(s) ]
Siemens [1 Certification Exam(s) ]
Snia [7 Certification Exam(s) ]
SOA [15 Certification Exam(s) ]
Social-Work-Board [1 Certification Exam(s) ]
SpringSource [1 Certification Exam(s) ]
SUN [63 Certification Exam(s) ]
SUSE [1 Certification Exam(s) ]
Sybase [17 Certification Exam(s) ]
Symantec [133 Certification Exam(s) ]
Teacher-Certification [3 Certification Exam(s) ]
The-Open-Group [8 Certification Exam(s) ]
TIA [3 Certification Exam(s) ]
Tibco [18 Certification Exam(s) ]
Trend [1 Certification Exam(s) ]
TruSecure [1 Certification Exam(s) ]
USMLE [1 Certification Exam(s) ]
VCE [6 Certification Exam(s) ]
Veeam [2 Certification Exam(s) ]
Veritas [28 Certification Exam(s) ]
Vmware [54 Certification Exam(s) ]
Wonderlic [1 Certification Exam(s) ]
Worldatwork [2 Certification Exam(s) ]
XML-Master [3 Certification Exam(s) ]
Zend [6 Certification Exam(s) ]
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