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1Z0-526 exam Dumps Source : Oracle business Intelligence Foundation(R) 10.1.3 Essentials
Test Code : 1Z0-526
Test denomination : Oracle business Intelligence Foundation(R) 10.1.3 Essentials
Vendor denomination : Oracle
: 69 actual Questions
with the aid of Brendan Tierney
this text explains the leading add-ons of an adaptive intelligence solution for machine gaining lore of and how the a considerable number of add-ons of the Oracle Cloud service offerings may furthermore breathe used to build such a solution.
during the eventual few years, there was a large uptake of computing device getting to know and predictive analytics, along with many different records science–type options. These applied sciences are getting used to create a considerable number of styles of predictive models and advanced determination-management solutions to profit a deeper understanding of information after which expend these modern insights to profit a competitive abilities. daily, modern experiences can breathe organize detailing how companies around the world are discovering modern patterns of their information and using this modern tips to breathe mindful and engage with their customers in lots of modern ways. Chatbots are some of the newest technologies the expend of laptop gaining lore of in modern and creative techniques. (check out the perspicacious Bots function of Oracle cell Cloud.)
With the expanding expend of such applied sciences—together with the ever-transforming into scope of data from typical information sources (boring ancient tiny records) to sensors and internet of issues (IoT) applied sciences—the capacity to control the records science method and lifecycle is fitting ever more censorious and ever more advanced. The potential to maneuver these tactics in an automatic or semiautomated manner is now what most businesses are turning their focus towards, as a result of too tons time is being taken up with operating scripts and performing standard, straightforward evaluations. The time records scientists entangle doing these projects can breathe more desirable spent on modern utility areas for his or her organizations.
The automation of the information science manner is the center of attention of many agencies as a means to release their statistics scientists from performing mundane and repetitive projects, so they can concentrate on offering data science to modern areas of the company. This automation of the information science method is commonly known as adaptive intelligence. Adaptive intelligence comprises pile a manner, an infrastructure, and purposes to sheperd the continual building, evaluating, monitoring, and deployment of computing device studying models, as well because the continual monitoring of the effectiveness of these machine gaining lore of fashions in an automatic method.what's Adaptive Intelligence?
Adaptive intelligence is the next layer to breathe developed by using the data science crew after constructing and deploying advanced analytics and laptop getting to know outright over a company. With every deployment of an superior analytics or desktop studying answer, additional records is generated through the models and applications and, therefore, an further degree of monitoring is required.
for instance, the models may call a particular subset of valued clientele will "churn." Over time, records will breathe gathered to replicate if these and other customers believe basically churned. Monitoring and evaluating the statistics is required to examine what shoppers really churned and evaluate them to the expected listing of purchasers. exact examination of the facts and results are crucial to examine the main contributing elements for clients churning, etc.
loads of statistics can furthermore breathe generated by using the fashions and extra information may should breathe gathered, assessed, and monitored. The statistics science crew will struggle to locate the time for gathering and monitoring the information being generated, while at the equal time working on modern advanced analytics and machine learning options. This procedure becomes iterative and needs to entangle position on a daily foundation to investigate if the computing device getting to know fashions deserve to breathe up to date to replicate the existing and altering nature of the records for every of the application enviornment. This iterative method is highlighted by pass of the outer circular ring of the go-trade technique for information mining (CRISP-DM) lifecycle, as highlighted in purple in determine 1.
determine 1: CRISP-DM lifecycle highlighting the iterative nature of records science initiatives
This outer iterative ring of the CRISP-DM system represents the core nature of what's involved with constructing an adaptive intelligence answer, and it's mentioned in most literature this is accessible on the theme. It is this outer ring that may devour a immense volume of pile effort, however can additionally give a significant amount of savings in human endeavor and fiscal rate reductions that may furthermore breathe carried out during the quicker and extra productive deployment of newer and up to date desktop researching fashions during a firm.
With adaptive intelligence, records science groups are looking at automating the outer ring of motif 1. To try this, they need to define what their method is and the pass every section of the manner can breathe automated. moreover, any exception coping with additionally must breathe described to alert the information science group with any anomalies or any huge changes that the machine studying algorithms find. The adaptive intelligence reply automates the process of monitoring the deployed superior analytics and computing device discovering models and monitoring the information produced, to achieve prerogative here:
The list of methods inside an adaptive intelligence solution is long and complex. Most corporations delivery with constructing such an reply within their personal data centers. however because the number of advanced analytics and desktop researching models increases, so does the complexity of being capable of control the strategies. here's why most groups are actually pile their adaptive intelligence options the expend of the cloud, since it allows automatic scaling and elastic computation when crucial and, in my case, using the a number of Oracle Cloud options. This allows for an organization to conveniently scale out their adaptive intelligence reply from having most effectual an on-premises environment to having a hybrid solution that combines on-premises and cloud environments, to having a totally deployed solution on Oracle Cloud. as an instance, many of the Oracle Cloud functions believe adaptive intelligence constructed into them. note the "Oracle Cloud purposes with Adaptive Intelligence" section for details about these Oracle Cloud purposes.
businesses that believe embarked on pile an automated adaptive intelligence solution are seeing significant savings. the first locality of savings is with the information science crew. The automatic adaptive intelligence solutions free the facts scientists from the mundane projects of rerunning the various tasks for rebuilding the fashions and verifying any alterations to the computer studying models. The statistics scientists can now focus on modern business issues and the pass the numerous statistics science strategies may furthermore breathe utilized in different areas of the firm, with the purpose of using enterprise cost.
A 2nd locality is with an automatic process that tremendously reduces the time it takes to identify and install modern or superior computer studying models. The faster these fashions may furthermore breathe deployed, the earlier fraud can breathe detected, the sooner money can furthermore breathe saved, and the earlier extra revenue may furthermore breathe generated ("time is funds").add-ons of an Adaptive Intelligence answer
As statistics science projects evolve, a few different strategies can breathe developed to profit records scientists discharge their common and commonplace projects. Over time, each one of these initiatives can birth to devour most of their working days. At this point, either the productiveness of the data science crew is enormously reduced or they flip their consideration to pile adaptive intelligence solutions.it could entangle some time to construct a fully automated answer; many teams birth by constructing it on their current infrastructure. despite the fact, they realize at once that they need extra storage for their facts and extra technical components. here is when a hybrid reply is created with some accessories on premises and a few the expend of cloud functions. Over time, most organizations circulation lots of the adaptive intelligence reply so it's wholly hosted on the cloud, whereas the deployment of the advanced analytics and desktop gaining lore of options abide within the on-premises creation environments.
determine 2 suggests the habitual accessories of an adaptive intelligence answer. constant communication is want between the cloud platform and the on-premises accessories. This allows for continual monitoring and comparison of the statistics, and it furthermore allows for the deployment of the up to date desktop discovering models as soon as they can breathe found. the following paragraphs define the main add-ons of an adaptive Intelligence answer, as shown in motif 2.
the first a section of the adaptive intelligence reply that needs defining is the enterprise locality statistics Definition Repository. This allows the statistics scientists to profile the a considerable number of supply applications and the facts facets that can breathe used. The records to breathe monitored and extracted for the computer learning tactics is defined together with quite a lot of information processing initiatives that deserve to breathe carried out. The statistics scientists will should define this counsel as they migrate each and every computer discovering system and mannequin out of the lab ambiance and into the adaptive intelligence approaches.
The records sources and the information defined will deserve to breathe continually monitored to search for any huge changes in facts distributions, newer categories of records, and how the extent of information changes over time. The information Monitoring manner will discharge this chore and might update the business enviornment records Definition Repository with these changes. This permits the facts Monitoring procedure to examine when it can breathe surest to arouse the mannequin build Workspace process, which could then assess the records to peer if any adjustments to the desktop learning fashions are indispensable.
determine 2: add-ons of an adaptive intelligence solution
When a model has been identified that must breathe up to date, the information Harvesting procedure is initiated. This technique extracts facts from the primary data sources and hundreds the records into the data Lake for the adaptive intelligence answer. This lake acts because the main records repository, and the identical records will furthermore breathe used for many different machine gaining lore of fashions. moreover, reckoning on the time worried with harvesting the statistics, a real-time harvesting process may furthermore breathe used to normally populate the data lake with updated records.
When the entire records is obtainable within the facts Lake, the data Profiling and Discovery manner is initiated to profile the records to assess if there believe been any variations in the profile of the a variety of facts points and if any correlations may furthermore breathe decided. outright variations and any early discoveries from this procedure are flagged by means of the information and model indicators manner and are visually introduced within the adaptive intelligence dashboards.
after outright the needful the information has been harvested for a specific mannequin, the model construct Workspace method can commence. This technique examines the mannequin tradition Repository to find what machine studying algorithms believe been previously used. These algorithms will then breathe used on the more recent records, evaluating the mannequin output and performing self-tuning on the algorithms to check the most effectual setting and outcomes. The results generated by pass of the modern construction fashions should breathe measured towards the up to now generated fashions to check if the latest construction-deployed mannequin may silent abide or if it can breathe up-to-date with probably the most newly created models. This manner can expend a combination of desktop gaining lore of algorithms including in-database algorithms, R algorithms, algorithms from Oracle R enterprise (a characteristic of Oracle superior Analytics), Spark algorithms, and so on.
When it comes to the deployment of a brand modern mannequin, the desktop gaining lore of language used to generate the optimal model in the adaptive intelligence reply should, in most cases, in shape the language used in the deployed production atmosphere. In such situations, the brand modern mannequin can breathe copied to the creation atmosphere without vicissitude to change the existing model. In some cases, there can breathe a change between the two environments. In those circumstances, the desktop studying model particulars may furthermore breathe exported using Predictive mannequin Markup Language (PMML) and then imported into the construction ambiance.
building an adaptive intelligence reply will furthermore breathe a huge and sophisticated system, however the advantages it can give an organization in each human endeavor and monetary discount rates may furthermore breathe significant, resulting is a extremely quick recrudesce on investment. pile such a solution can breathe costly and intensely time-drinking, since the technical infrastructure might not exist and the procurement method can entangle a long time. using the accessible cloud solutions means that you can avoid every one of these difficulties.building an Adaptive Intelligence reply in Oracle Cloud
Most organizations mount constructing such a solution the usage of their on-premises infrastructure. In most instances, this is viable for one or a tiny variety of desktop getting to know models that are in response to a tiny number of information sources.
because the variety of desktop getting to know models raises as neatly as the quantity and complexity of the records sources, organizations expend a number of cloud-based solutions that drudgery together to win the scalability they want. It is that this cloud scalability that makes adaptive intelligence solutions one of the crucial next expertise waves in the enviornment of data science.
Oracle has a immense suite of platform-as-a-service (PaaS) choices. The current record is proven in motif three, and this checklist is due to grow over the arrival months.
determine three: Oracle Cloud PaaS offerings
Oracle huge data Cloud carrier is the top-quality reply for the information lake section of an adaptive intelligence solution. It permits the imperative statistics gathered from throughout the enterprise to breathe stored. It furthermore makes it workable for the storage of the historical data as neatly because the evanescent facts that are crucial to monitor and update the computing device studying fashions.
Oracle large statistics Cloud carrier can even breathe used for the repository add-ons of the universal answer. It comes with Spark, Oracle R advanced Analytics for Hadoop, and Oracle immense records Spatial and Graph, thereby featuring various advanced analytical and computer discovering algorithms.
To control the technique of relocating and monitoring the facts in quite a lot of source functions to Oracle large facts Cloud carrier, there are a few alternate options. For facts replication and stream defined for inescapable time intervals or snapshots, Oracle data Integrator Cloud provider can breathe used to maneuver the circulation of information. alternatively, if near true-time potential is required, Oracle GoldenGate Cloud service can furthermore breathe used or, in case you favor to expend the vigour of Kafka, the Oracle event Hub Cloud provider will furthermore breathe used. the expend of these latter two cloud features permits for extra nigh precise-time monitoring of the records, which will in whirl sooner identify when the models need to breathe up-to-date. Then the more recent models can breathe deployed again into the production environment sooner.
For some agencies, Oracle immense statistics Cloud service may now not breathe appropriate, as a result of they don't believe the scale of statistics quintessential to warrant its use. An option is to expend the database as a service (DaaS) and, mainly, the extreme or excessive-efficiency models of this provider. These two models promote with the in-database machine learning alternative (Oracle superior Analytics) and additionally comprise Oracle R enterprise. this may will let you expend the superior analytics and machine gaining lore of capabilities of the R language along with Oracle Database. the usage of the DaaS versions permits for outright the integral commercial enterprise data and repositories for an adaptive intelligence solution to breathe determined in one cloud service.
Oracle Cloud capabilities allow you to immediately build and adjust your reply while using the elastic scalability of the cloud.Oracle Cloud applications with Adaptive Intelligence
For some organizations, pile an adaptive intelligence reply may appear to breathe in the removed future, but examples of such options are very ordinary today. simply as advanced analytics and computer gaining lore of had been round for a lot of decades, so has the implementation of adaptive intelligence solutions. for example, many Oracle purposes had been the expend of machine learning for a number of years now, and Oracle has built in the capacity to update and retain the various desktop researching fashions instantly. the following Oracle functions, as well as others, believe adaptive intelligence constructed into them, and they're available in Oracle Cloud:
many of these Oracle Cloud purposes expend statistics from the Oracle records Cloud to supplement the statistics accumulated and generated in the functions. here is a several capabilities these cloud applications believe over identical solutions which are custom-developed or are available from a lot of altenative suppliers.
Many companies are actually using the principles of adaptive intelligence to construct purposes that bridge the gap between the facts scientist and the nigh consumer, and these Oracle applications are examples of this.Conclusion
Adaptive intelligence is a component of the next wave of solutions in information science. The simple goal of pile an adaptive intelligence reply is to automate the manner of building, evaluating, and deploying advanced analytics and laptop getting to know fashions in an organization. Automating these techniques for defined records science options makes it workable for records scientists to breathe alert of more moderen software areas in preference to spending their time running activities and repetitive methods.
relocating to the cloud allows organizations to build out the automation of their adaptive intelligence options in an incremental manner. using Oracle Cloud services offers the elastic scalability required for the transforming into volume and ever-altering nature of facts that the majority companies have.
The scope of cloud capabilities obtainable from Oracle makes it workable for agencies to construct the components of their adaptive intelligence solution the expend of the tools and cloud services that most fulfilling suit their measurement and needs. As things trade over time, different cloud services can breathe blanketed to consistently evolve and efficaciously supersede computer studying models. The much less time it takes to Make expend of these models, the sooner a company can reduce back expenses and generate additional imbue savings.about the author
Oracle ACE Director Brendan Tierney is an independent advisor (Oralytics) and lectures on data science, databases, and large facts at the Dublin Institute of expertise/Dublin Technological institution. He has 24+ years of journey working in the areas of information mining, information science, immense data, and information warehousing. As a identified statistics science and massive information knowledgeable, Tierney has worked on tasks in ireland, the uk, Belgium, Holland, Norway, Spain, Canada, and the USA. he's vigorous within the UK Oracle consumer group (UKOUG) group and some of the user community leaders in eire. Tierney has furthermore been editor of the UKOUG Oracle Scene journal, is an everyday speaker at conferences around the globe, and writes for a few publications. in addition, he has published four books, three with Oracle Press/McGraw-Hill (Predictive Analytics using Oracle data Miner, Oracle R commercial enterprise: Harnessing the energy of R in Oracle Database, and precise World SQL and PL/SQL: information from the specialists) and one with MIT Press (necessities of data Science).
When most americans respect about utility for enterprise, they are inclined to believe of things enjoy Microsoft office. after all, office is the application suite that many people disburse an outstanding deal of time in during their drudgery days.
actually, although, productiveness suites enjoy workplace most effectual symbolize a tiny portion of the overall marketplace for software used in corporations and different vast agencies. one of the vital largest classes are issues enjoy enterprise resource Planning (ERP), client Relationship management (CRM), and company Intelligence (BI) and analytics. additionally, there are thousands and thousands of customized applications (a lot of which are constructed with these sorts of tools as a groundwork) that play an extremely needful function in the operation of today’s agencies.
whereas Microsoft is a crucial player in lots of of those categories, it’s companies enjoy IBM, SAP, Oracle, and Salesforce that are the leaders in lots of of these lesser-customary segments which are frequently called “again workplace” operations (a historical phrase that stems from many enterprise agencies having the operational teams doing this drudgery physically organize within the rear section of office buildings). actually, agencies enjoy SAP believe developed immense corporations developing the tools and systems that sit at the principal operational factor for many groups in areas starting from supply-chain administration to human components and different personnel methods.
ultimately week’s SAPPHIRE NOW, SAP’s annual customer convention, the company introduced an needful entry into the “front office” CRM market with C/4 HANA. the brand modern providing ties together the expertise from a few different acquisitions it has made to create a set of applications and cloud capabilities that permits income and advertising people (who customarily sat within the “entrance” a section of workplace constructions) to order outright of the vital counsel about their purchasers in a single vicinity. C/4 HANA builds on the enterprise’s latest in-memory HANA database architecture, which outlets outright facts and purposes in server reminiscence (versus in storage) to pace universal efficiency.
What’s unique concerning the liberate is the position it holds within the ordinary evolution of the enterprise application market. For a yoke of a long time, organizations enjoy SAP had been strongly linked to historic legacy utility that ran only within the physical servers within a company’s statistics center—or “on premise,” as many want to say. The purposes believe been colossal, monolithic chunks of code that believe been so complicated, they almost always required external profit from large consulting establishments and gadget integrators, or SIs (similar to Accenture, CapGemini, the functions division of IBM, and many others.), to effectively deploy and deploy.
Over the remaining decade or so, despite the fact, we’ve viewed groups enjoy SAP and IBM evolve their application architectures and approaches, in gigantic section as a result of the stagy upward push of cloud-primarily based application organizations corresponding to Salesforce.com. The efficiencies, flexibility, and cost-savings enabled through these internet-based company software corporations and the modern company fashions they offered—equivalent to software as a provider (SaaS), Platform as a carrier (PaaS), and so forth.—pressured some stagy adjustments from the conventional enterprise software providers. In selected, they saw a stagy enhance in the expend of public cloud systems, such as Amazon internet features (AWS), Microsoft Azure and Google Cloud, to host and dash purposes that historically simplest ran in corporate facts centers. moreover, we’ve witnessed the stagy enhance of business cellular functions that supply a pass to dash or believe interaction with company application on their smartphones and different mobile instruments.
the brand modern C/4 HANA release is an intriguing illustration of these many tendencies since it is a cloud-first set of tools that groups can now dash in the public cloud throughout any of those essential cloud systems, of their own private cloud within their information middle, or in a mixed “hybrid” cloud model. Architecturally, the suite incorporates a huge variety of microservices—a dramatically distinctive and greater modular constitution than older monolithic purposes—that presents a gross lot greater flexibility when it comes to how the application can furthermore breathe leveraged, up-to-date, and more advantageous. In specific, the capability to attain things enjoy plug-in modern enhancements corresponding to AI and machine discovering by pass of SAP’s Leonardo suite of latest technologies is indicative of the brand modern method the business is taking with its application choices.
At this 12 months’s SAPPHIRE NOW, SAP furthermore introduced an SDK (utility pile kit) in an endeavor to allow aboriginal entry to outright their services from Google’s Android platform for cell access. This builds on the drudgery that the business had in the past finished for iOS and Apple devices.
Even with outright these enhancements and lengthy-term evolutionary growth, there’s silent no doubt that the majority of enterprise utility offerings can silent breathe extraordinarily complicated and intricate to completely decipher. youngsters, it's additionally transparent that vast development is being made and that, in turn, is assisting businesses who expend these materiel better their efficiencies and increase the digital readiness of their companies. because the enterprise ambiance continues to boost, it’s decent to note the toolmakers who’ve supported these corporations taking the steps integral to Make these digital transformations possible.
Bob O’Donnell is the founder and chief analyst of TECHnalysis research, LLC a expertise consulting and market analysis enterprise. which you can keep him on Twitter @bobodtech. this article changed into at the start published on Tech.pinions.linked Reads
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1Z0-526 exam Dumps Source : Oracle business Intelligence Foundation(R) 10.1.3 Essentials
Test Code : 1Z0-526
Test denomination : Oracle business Intelligence Foundation(R) 10.1.3 Essentials
Vendor denomination : Oracle
: 69 actual Questions
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APA [1 Certification Exam(s) ]
APC [2 Certification Exam(s) ]
APICS [2 Certification Exam(s) ]
Apple [69 Certification Exam(s) ]
AppSense [1 Certification Exam(s) ]
APTUSC [1 Certification Exam(s) ]
Arizona-Education [1 Certification Exam(s) ]
ARM [1 Certification Exam(s) ]
Aruba [6 Certification Exam(s) ]
ASIS [2 Certification Exam(s) ]
ASQ [3 Certification Exam(s) ]
ASTQB [8 Certification Exam(s) ]
Autodesk [2 Certification Exam(s) ]
Avaya [93 Certification Exam(s) ]
Axis [1 Certification Exam(s) ]
Banking [1 Certification Exam(s) ]
BEA [5 Certification Exam(s) ]
BICSI [2 Certification Exam(s) ]
BlackBerry [17 Certification Exam(s) ]
BlueCoat [2 Certification Exam(s) ]
Brocade [4 Certification Exam(s) ]
Business-Objects [11 Certification Exam(s) ]
Business-Tests [4 Certification Exam(s) ]
CA-Technologies [21 Certification Exam(s) ]
Certification-Board [10 Certification Exam(s) ]
Certiport [3 Certification Exam(s) ]
CheckPoint [40 Certification Exam(s) ]
CIPS [4 Certification Exam(s) ]
Cisco [312 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 [74 Certification Exam(s) ]
ComputerAssociates [6 Certification Exam(s) ]
CPP-Institute [1 Certification Exam(s) ]
CSP [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 [127 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) ]
FCTC [2 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 [28 Certification Exam(s) ]
Hortonworks [4 Certification Exam(s) ]
Hospitality [2 Certification Exam(s) ]
HP [743 Certification Exam(s) ]
HR [2 Certification Exam(s) ]
HRCI [1 Certification Exam(s) ]
Huawei [21 Certification Exam(s) ]
Hyperion [10 Certification Exam(s) ]
IAAP [1 Certification Exam(s) ]
IBM [1518 Certification Exam(s) ]
IBQH [1 Certification Exam(s) ]
ICAI [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) ]
ITEC [1 Certification Exam(s) ]
Juniper [62 Certification Exam(s) ]
Legato [5 Certification Exam(s) ]
Liferay [1 Certification Exam(s) ]
Lotus [66 Certification Exam(s) ]
LPI [23 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 [361 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) ]
NIELIT [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 [261 Certification Exam(s) ]
P&C [1 Certification Exam(s) ]
Palo-Alto [4 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 [4 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 [32 Certification Exam(s) ]
Vmware [57 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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