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Exam Number : C2090-930
Exam Name : IBM SPSS Modeler Professional v3
Vendor Name : IBM
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C2090-930 exam Format | C2090-930 Course Contents | C2090-930 Course Outline | C2090-930 exam Syllabus | C2090-930 exam Objectives
Exam Name : IBM Certified Specialist - SPSS Modeler Professional v3
Exam Code : C2090-930
Number of questions: 60
Number of questions to pass: 40
Time allowed: 90 mins
Status: Live
SPSS Modeler Professional Functionality 10%
Identify the purpose of each palette
Describe the use of SuperNodes
Describe the advantages of SPSS Modeler scripting
Business Understanding and Planning 10%
Describe the CRISP-DM process
Describe how to map business objectives to data mining goals
Data Understanding 15%
Describe appropriate nodes for summary statistics, distributions, and visualizations (for example, graph nodes, output nodes)
Describe data quality issues (for example, outliers and missing data)
Data Preparation 20%
Describe methods for data transformation (for example, Derive node, Auto Data Prep node, Data Audit node and Filler node)
Describe how to integrate data (for example, Merge node and Append node)
Describe sampling, partitioning, and balancing data (for example, demo node, Balance node and Partition node)
Describe methods for refining data (for example, Select node, Filter node and Aggregate node)
Modeling 20%
Describe classification models (including GLM and regression)
Describe segmentation models
Describe association models
Describe auto modeling nodes
Demonstrate how to combine models using the Ensemble node
Evaluation and Analysis 15%
Demonstrate how to interpret SPSS Modeler results (for example, using Evaluation node, Analysis node, and data visualizations)
Describe how to use model nugget interfaces
Deployment 10%
Describe how to use Export nodes (tools for exporting data)
Identify how to score new data using models
Identify SPSS Modeler reporting methods
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IBM Modeler test
how to measure computer performance | C2090-930 Dumps and exam Questions
With a vehicle, it's handy sufficient to understand that going 90 mph is sooner than eighty five.
but judging computing device efficiency is much more advanced. From MIPS to SPEC to Viewperfs, the business has developed a plethora of benchmarks geared toward answering what seems like a simple-sufficient query: Which computing device programs offer the most useful performance?
"it is a massive ordeal to are attempting to evaluate hardware systems," says John Kundrat, supervisor of company companion members of the family at Structural Dynamic analysis Corp. "If or not it's so difficult for us who do that day in and time out, imagine how difficult it's for users."
Why is it so tough to pin down computing device velocity? distinctive initiatives put different lines on a equipment, so being quickest at showing and ro- tating graphics would not always imply a computing device is equally adept at finite-point-evaluation quantity crunching. it really is one explanation why experts warning that a single benchmark influence is not satisfactory to expense a laptop's performance, and clients should still look at a variety of verify effects earlier than drawing conclusions about how distinctive machines stack up.
uncooked pace. One usual benchmark suite, from the standard efficiency contrast Corp. (SPEC), measures a computer's critical processing unit (CPU). however even this--which doesn't take into consideration graphics display, or how quickly statistics can be pulled off a hard disk for use--is fairly advanced.
One set of SPEC assessments, SPECint95, looks at the CPU's integer efficiency, or how it handles basic operations. another group of benchmarks, SPECfp95, examines floating-aspect performance, or how quick the chip does greater complex math.
outcomes generally reveal up in news experiences, if in any respect, as two single numbers. but to get basically positive counsel from SPEC, it be critical to appear on the particular person checks comprising each integer and floating aspect, says SPEC President Kaivalya Dixit.
"individuals just isn't comparing one number," he advises. "SPECfp can range 4 or 5 to 1." for instance, a given computing device should be would becould very well be 5 instances as speedy as an extra desktop on the "tomcatv" fluid-dynamics check, however handiest twice as quick on a special evaluation test, he says. And, such huge variations are regular.
He suggests engineers look at the numbers closest to their everday tasks. as an example, most would care less about SPEC's climate-prediction part and extra in regards to the a hundred and one.tomcatv mesh-technology program (one in all 10 part items of the SPECfp95 number.) other checks in the SPECfp95 suite consist of 104.hydro2d, with hydrodynamical Navier Stokes equations; and one hundred ten.aplu, parabolic/elliptic partial differential equations.
SPEC recently up to date its examine suite from 1992 to '95 types, in an effort to keep tempo with swiftly advancing know-how. "SPEC92 is dead," Dixit notes. "in case you use it, you are going to get incorrect assistance." One reason: laptop systems grew to be so much more effective in the past three years, the ancient benchmarks may sit simply internal a device's cache (on-chip reminiscence), for that reason not accurately putting a processor through its paces.
The '95 SPECs use genuine ap- plications, and never workout routines dreamed up in a lab, Walter Bays, senior group of workers engineer at solar, notes. "it be a big improvement."
but others in the trade say the numbers are of restrained use. "SPECmarks and PLBs (graphic-degree Benchmarks) don't do an excellent job conveying how the gadget will work in precise-world functions," maintainss Ty Rabe, manager of CAD utility advertising and marketing at Digital gadget Corp. "portraits benchmarks are greater positive, however few people take into account their mixture of images."
pictures efficiency. The pix performance Committee (GPC), lately merged with SPEC, goals to measure how speedy computing device programs can run graphics-intensive purposes.
"GPC likely has the choicest commonplace benchmarks in the trade," says Bjorn Andersson, senior product manager, Ultra1 laptop, at sun Microsystems laptop Corp. "They provide you with somewhat a fine indication inside diverse statistics units. ... however you need to be careful which numbers you might be looking at."
GPC numbers had been posted in an inch-thick volume that will also be tricky for any individual outside the computer industry to battle through. "When are they going to get a comprehensible quantity?" one business analyst requested. "The experiences are inconceivable to bear in mind."
"it is a bit daunting," admits Mike Bailey, chair of the GPC group. "We prefer to think of it as complete."
Such an array of check results is mentioned in order that users can analyze performance on the specific tasks they are prone to do, he says. "Vectors per 2d or polygons per 2d aren't terribly significant," he notes, as a result of vectors can also be a variety of sizes; arbitrarily producing a host the usage of 10-pixel lines is unlikely to replica any one's actual-world journey.
"users can have lots of faith within the numbers as a result of companies are being policed by way of all of the other vendors," Bailey says. "It makes for some long conferences." GPC, a non-earnings company, consists of producers, users, consultants, and researchers.
PLBs (image-stage Benchmarks) are look at various fashions that are circled, panned, zoomed, etc, for a would-be buyer to time how long such projects tackle distinct structures. Two capture-all numbers, PLBwire93 and PLBsurf, provide combined results for checks in wireframe and surface models, respectively. besides the fact that children, as with SPECmarks, users can prefer the specific test fashions most likely to replicate their exact work. For engineers, that might include sys_chassis and race_car in wireframe, and cyl_head in floor.
every hardware seller can write the application used to perform rotating, panning, and different projects on each model--main critics to bitch that the benchmarking codes are greater finely tuned than an off-the-shelf utility kit is ever likely to be. "We consider PLB is a dubious benchmark," says John Spitzer, supervisor of computing device efficiency engineering at Silicon images.
youngsters, this can provide a look at a gadget's knowledge, if application programmers take competencies of a pc's specific features.
Viewperfs are the primary Open-GL efficiency benchmark endorsed by way of the GPC's OpenGL performance Characterization (OPC) subcommittee. Developed with the aid of IBM, they examine performance (the usage of frames per second) on selected facts sets working in genuine utility packages. to date, there are general "viewsets" for Parametric know-how's pro/CDRS industrial-design utility, IBM's records Explorer visualization, and Intergraph's DesignReview three-D mannequin evaluate package. The committee is now seeking to get other utility companies to make a contribution check suites.
Yet yet another benchmark, flow, become developed at the college of Delaware to measure sustained memory bandwidth. It contains four exams with long vector operations, designed to stress memory access--key aspect of gadget efficiency for functions that location such calls for on a computer.
standards alternate options. Most hardware and application agencies have their own benchmarks as neatly. To many companies, here's the most effective means they can completely examine the capabilities of their personal systems. although, it's complex for consumers to grasp which such numbers are faithful.
"I've considered so many benchmarks," says Kundrat at SDRC. "They can also be structured to do loads of issues."
"they're enormously convenient to abuse," notes Rabe at DEC. despite the fact, such inner benchmarks can be constructive for company engineers, who may also spot particular efficiency complications and redecorate future systems as a result. "They allowed us to make giant improvement on Alpha methods," he says. Or, proprietary tests can help check if a equipment has been optimized for vital markets.
Many primary agencies develop their personal benchmarks, based primarily on the work engineers plan to do with new computer programs--something many in the industry enormously recommend because the most efficient option to verify how neatly a computer will perform the tasks it would be assigned. Ford, as an instance, reportedly has a set of 15 distinctive purposes running on multiple systems. And at Eastman Kodak, team of workers engineer Rex Hays used some internally generated code from genuine work in growth to peer how a great deal faster solar's new UltraSPARC ran vs. the older SPARCstation 20. effects multiple from a two- to five-fold increase, depending on the task, he says.
Time spent operating such checks, in the event that they are to be helpful, is considerable; one look at various alone ran for greater than 70 hours. "it be a tedious procedure," in accordance with Kundrat at SDRC. And, throughout the weeks or months of evaluating systems, new know-how can come out making the older programs obsolete.
eventually, most within the industry agree, benchmarks can also be constructive as a guide to anticipated performance however not an exact prognosticator. "it's kind of just like the EPA mileage estimate," Rabe at Digital concludes. "Your mileage may additionally range."
glossary of terms: sorting out the BenchmarksGPC--pix performance Characterization Committee. This non-income corporation of providers, clients, analysts, and researchers includes a few subgroups: XPC, measuring XWindow performance (comparable to 2-D lines and 2-D polygons); OPC, the Open GL performance Characterization group, checking out implementations of Open-GL photos routines; and movie-stage Benchmarking, where providers can devise their own ways of describing various common portraits scenes and then measure performance on their implementations.
MFLOPS--million floating-factor operations per second. A much less widely wide-spread benchmark than in the past, as more refined exams measuring true-world applications come into prefer. MIPS--million instructions per 2d. uncooked dimension of how many primary guidelines a computer chip can technique. frequently criticized for providing little valuable real-world facts.
PLB--image degree Benchmark, from the photographs efficiency Characterization (GPC) Committee. points a couple of diverse models, and then two categories of outcomes for surface (PLBsurf93) and wireframe (PLBwire93). Critics say that because each dealer receives to put in writing its own code for PLB tests, the numbers are usually lots greater finely tuned than actual-world utility is to take potential of particular chip capabilities.
SPEC--commonplace performance evaluation Corp., a non-income neighborhood of fundamental hardware providers who collectively develop benchmark checks. SPEC tests measure central-processing-unit speeds and never photographs. SPEC recently got here out with new benchmarks, SPEC95, to replace the 'ninety two look at various suite. SPECint95, which measures a processor's integer efficiency, may also be helpful for taking a look at how a gadget may deal with 2-D, wireframe CAD. SPECfp95 is counseled for extra worrying computing; it measures a processor's floating-point velocity. although, for initiatives reminiscent of three-D strong modeling and visualization, users may still run photographs benchmarks as well, when you consider that CPU performance alone will now not precisely replicate efficiency. SPEC effects are available on the worldwide net at http://www.specbench.org
Viewperf--'Stand-by myself' benchmark mannequin from the snap shots performance Committee. A person can feed the model in, and it spins, therefore measuring system efficiency. There are seven checks for the pro/CDRS industrial design (Parametric expertise Corp.) "viewset," 10 for records Explorer visualization (IBM), and 10 for Design evaluation (Intergraph). Others are beneath building.
along with trade-general benchmarks, corporations enhance their own test suites as a way to measure computing device performance. Hewlett-Packard and Structural Dynamics analysis Corp. agreed to share the consequences of 1 such proprietary look at various suite with Design news.
This Hedgetrimmer benchmark is a suite of 13 tests the usage of I-DEAS master SeriesRelease 3 design, drafting, and simulation modules. It runs a 20-MByte model file of an electrical hedgetrimmer via a number of simulations to imitate general computing instances. Such assessments are aimed at helping both computer designers and knowledge buyers see how a lot extra performance they may predict to acquire, as they stream up the product line.
The special steps:
1. build the hedgetrimmer meeting from a number of ingredients (blade, housing, change, etc.)2. shop the ensuing meeting to a brand new model file3. Explode assembly into particular person parts4. Reassemble meeting from the parts5. shade the hedgetrimmer the use of hardware shading6. reveal hidden-line (wireframe) view of the hedgetrimmer7. monitor hedgetrimmer the use of ray tracing (CPU intensive)8. stream to Drafting Module and shade proper and entrance views9. display hidden-line view in Drafting mode10. set up meeting for Drafting mode11. Enter Simulation Module and mesh the hedgetrimmer blade12. Restrain the blade and perform analysis (complicated FEA)13. monitor evaluation consequences graphically
guidance from the consultantsusing the right numbers is barely part of the story when measuring computer performance, in response to business experts. here are any other counsel:
don't use a single benchmark to are trying to price desktop efficiency.
when you've narrowed down the selections, examine your own certain functions on several distinct structures. in case you will not have the resources to boost trying out software in-residence, you can discuss with your utility vendor or an outdoor consultant.
factors apart from speed and gadget efficiency are additionally essential in making a purchase decision: accessible utility application, vendor reliability, upgradability, and guide functions.
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