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310-101 exam Dumps Source : Sun Certified Data Management Engineet with VERITAS Volume Manager
Test Code : 310-101
Test Name : Sun Certified Data Management Engineet with VERITAS Volume Manager
Vendor Name : SUN
Q&A : 233 Real Questions
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sun Hing vision neighborhood Holdings restricted (HKG:a hundred twenty five) is a corporation with great fundamental qualities. Upon building up an funding case for a inventory, we may still look at a variety of aspects. in the case of 125, it's a corporation that has been capable of maintain excellent fiscal fitness, trading at a good looking share price. under, I've touched on some key points make sure you understand on a excessive level. For these drawn to figuring out where the figures come from and want to peer the evaluation, take a look at the report on solar Hing imaginative and prescient community Holdings right here.remarkable stability sheet and reasonably-priced
125's potential to keep an enough stage of money to meet upcoming liabilities is a great signal for its economic health. this implies prudent control over cash and value by way of management, which is an important determinant of the enterprise’s health. 125's has produced operating cash degrees of 2.99x complete debt during the last 12 months, which means that a hundred twenty five's management has put its borrowings into first rate use via producing sufficient cash to cowl a enough component of borrowings. a hundred twenty five is at present buying and selling under its true value, which means the market is undervaluing the business's expected money movement going ahead. buyers find a way to buy into the stock to reap capital positive aspects, if one hundred twenty five's projected earnings trajectory does comply with analyst consensus boom, which determines my intrinsic cost of the enterprise. in comparison to the relaxation of the market, one hundred twenty five is additionally buying and selling beneath other listed corporations on the HK inventory change, relative to income generated. This helps the theory that one hundred twenty five is potentially underpriced.
SEHK:125 Intrinsic value, April 18th 2019greater subsequent Steps:
For solar Hing imaginative and prescient neighborhood Holdings, there are three essential components be sure to additional determine:
We purpose to convey you lengthy-time period concentrated research evaluation pushed through basic data. be aware that our evaluation may additionally now not component within the latest rate-sensitive business announcements or qualitative material.
if you spot an error that warrants correction, please contact the editor at email@example.com. this text by way of simply Wall St is widespread in nature. It doesn't constitute a advice to purchase or sell any inventory, and doesn't take account of your goals, or your fiscal situation. comfortably Wall St has no position within the stocks outlined. thank you for analyzing.
TORONTO, Apr 16, 2019 (Canada NewsWire via COMTEX) -- solar lifestyles international Investments (Canada) Inc. ("sun lifestyles global Investments"), as supervisor of the cash set out below (the "money"), introduced these days that it could be refiling the Fund data for right here money to suitable certain efficiency statistics within the Fund information documents:-- solar life Granite Conservative Portfolio -- solar lifestyles Granite average Portfolio -- sun lifestyles Granite Balanced Portfolio -- solar life Granite Balanced increase Portfolio -- solar lifestyles Granite increase Portfolio -- solar lifestyles Granite revenue Portfolio -- solar existence Granite superior income Portfolio -- solar lifestyles Sentry price Fund -- sun existence Infrastructure Fund -- solar lifestyles Schroder international Mid Cap Fund -- solar existence Dynamic American Fund -- solar lifestyles Templeton international Bond Fund -- solar lifestyles Dynamic equity income Fund -- sun life Dynamic Strategic Yield Fund -- sun life NWQ bendy salary Fund -- solar life BlackRock Canadian fairness Fund -- sun life BlackRock Canadian Balanced Fund -- sun existence MFS Canadian Bond Fund -- sun existence MFS Canadian equity increase Fund -- sun existence MFS Dividend income Fund -- sun life MFS U.S. fairness Fund -- sun existence MFS Low Volatility overseas fairness Fund -- solar life MFS Low Volatility international fairness Fund -- solar lifestyles Franklin Bissett Canadian equity classification -- solar life Invesco Canadian category
Unitholders who bought Fund statistics for dollars purchased between February 22, 2019 and April sixteen, 2019 might be despatched an up to date version of the Fund information.
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About sun lifestyles international Investments (Canada) Inc. solar lifestyles global Investments is a subsidiary of solar life fiscal Inc. It offers Canadians a various lineup of mutual cash and resourceful portfolio options, empowering them to pursue their financial goals at each existence stage. We collect the power of 1 of Canada's most relied on names in monetary capabilities with one of the crucial ultimate asset managers from all over to carry a really international funding platform. solar existence world Investments manages $25 billion on behalf of institutional and retail buyers from coast-to-coast and is a member of the sun life economic neighborhood of organizations. For extra suggestions, visit www.sunlifeglobalinvestments.com or join with us on Twitter @SLGI_Canada.
About sun lifestyles monetary sun lifestyles fiscal is a number one foreign financial capabilities corporation providing insurance, wealth and asset administration options to individual and company purchasers. sun life economic has operations in a number of markets international, including Canada, the united states, the United Kingdom, eire, Hong Kong, the Philippines, Japan, Indonesia, India, China, Australia, Singapore, Vietnam, Malaysia and Bermuda. As of December 31, 2018, solar existence monetary had complete belongings beneath management of $951 billion.
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sun existence fiscal Inc. trades on the Toronto (TSX), big apple (NYSE) and Philippine (PSE) stock exchanges beneath the ticker image SLF.
note to Editors: All amounts in Canadian bucks.
Commissions, trailing commissions, administration prices and prices all can be associated with mutual fund investments. Please study the prospectus before investing. Mutual dollars aren't assured, their values change commonly and previous performance may also no longer be repeated.(C) solar existence international Investments (Canada) Inc., 2019. sun life world Investments (Canada) Inc. is a member of the solar lifestyles fiscal neighborhood of groups.
Media members of the family Contact:Catherine RajanaSenior Media SpecialistCorporate CommunicationsT. firstname.lastname@example.org
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sun Microsystems is extending its range of coaching lessons to include community Storage Certification programs. The lessons, a good way to cowl statistics administration, backup and restoration and storage enviornment networks (SANs), are designed to compliment the storage options that solar gives."the new certification software is a further manner of demonstrating sun's commitment to offering complete storage solutions for its clients," stated Mark Canepa, vice president of solar network Storage. "by using assisting raise the degree of advantage for storage professionals, solar is yet again raising the bar within the storage marketplace."Three certifications might be introduced: solar licensed records management Engineer, in order to cowl implementation, configuration, and of storage arrays; sun certified Backup and healing Engineer dealing with the design and implementation of backup and restoration, and sun licensed Storage Architect, with a view to deal with SAN administration.The courses had been designed by way of a bunch of diverse events including sun consultants and engineers, training consultants and sun cost-brought partners."sun has leveraged its strengths in hardware, application and features to enhance and convey these new certifications," added Larry Hambly, govt vice president, business features, solar Microsystems. "using this finished approach, we are assisting our valued clientele obtain the maximum tiers of device availability by using specializing in raising the ability degrees of their employees."For the entire newest business news from the UAE and Gulf nations, observe us on Twitter and Linkedin, like us on fb and subscribe to our YouTube page, which is updated each day.
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These days, people are using the word "dumb" regularly to describe everything from from sequestration to movies. I figured I should jump into the mix with a bold statement: I think OEM storage vendors are being forced to "dumb down" storage because we do not have the storage talent to manage the complexity we have in our industry.
The question is, is dumb storage good or bad for most of us?
It is certainly good for the customers. It was not that long ago that we had SAN file systems using the VERITAS volume manager and file system (VxVM and VxFS) for many commercial sites and a wide variety of applications. Today, the world is completely different and much simpler. In my opinion, it all started with NFS and NAS storage.
So is the current change to more simplified storage part of a cycle? Or is this the way things will be for the long term?The History of Storage Simplification
If you are a regular reader, you know my old saying: there are no new engineering problems in IT—just new engineers solving old problems. The current storage trend is a movement to appliances. I suspect this is happening because there is a lack of a storage administrators and architects. Things need to be simpler in order to sell.https://o1.qnsr.com/log/p.gif?;n=203;c=204660765;s=10655;x=7936;f=201812281308090;u=j;z=TIMESTAMP;a=20400368;e=i
The trend could also be due to other market factors, such as a lack of standards. We have the IETF for Internet standards, but for storage from the server side we have little to no leadership. We have the OpenGroup and SNIA, neither of which have been very successful in developing a wide set of standards for management (Note that SNIA came out with Storage Management Initiative Specification (SMI-S), but I think it was too little to late). There is an agreed-upon common framework for network management, but not for all the various file systems from local ones like XFS, EXT-4 and NTFS, all the way to the biggest parallel file systems like GPFS and Lustre.
Honestly, in my opinion, it is a shame that the vendors did not get together in the 1990s when they had the opportunity. But that lack of cooperation spurred innovation, which is why I think that NAS took off in the early 2000s. It was easy to use and easy to configure, manage and upgrade.
I remember back in the late 1990s and early 2000s. SAN administrators and architects were in extremely high demand and could command large salaries. Even after the dot.com blow-up, SAN administrators and architects were still getting higher-than-average salaries compared to others in the IT industry because there were just not enough good people.
Companies like EMC, HP, IBM, Sun, Veritas and many others tried to get more SAN talent by promoting certification and education programs. But this certification cost time and money for the customers, and there were often required classes with each new release or each year. Worst of all, if you got your Sun certification that did not help much with EMC. The only common overlap might be the Fibre channel switch. So if a customer wanted or needed a mixed environment, they had to have people spending a lot of time training.
In the 2000s, the SAN vendors started to get a clue—likely because of pressure from customers. Also, the consolidation of SAN companies began during this period, which reduced the number of training classes needed, along with the vendors trying to develop a common SAN management framework like SMI-S.Too Little Too Late
During this same period, the NAS market was growing fast. Management was easy. Provisioning was easy. Upgrades were easy. Training was simple. The interface was NFS.
But there were two things lacking:
With a few exceptions, the large SAN file system vendors for the most part lost significant market share to the NAS vendors. Today the SAN file system market is quickly disappearing and being replaced. When you want a multi-petabyte namespace, you have a few choices in the market with POSIX file system, but you have a number of choices with REST/SOAP based interfaces. However, becoming a file system expert for today’s file systems still requires significant training, given the complexity of the hosts, networks, storage devices and mapping that to the hundreds of file system tunable parameters.What Will Our Future Look Like?
We have gotten to a point where I think the amount of storage complexity exceeds the volume of storage talent. Combine this with the facts that we still do not have a common management framework, and that we have new applications, appliances and methods. I think we are seeing a rise of appliances which do not require high-end storage administrators, except at extreme scale.
For example, most of the parallel file system community has moved to storage appliances which have few knobs and switches. Most of the purchasing community for HPC environments has quickly embraced this technology, given the high cost and long training time needed to administer these file systems.
This, of course, is just one side of the coin. The same thing is happening with storage devices and software that manage object interfaces for REST/SOAP interfaces. They are becoming simpler to use and require high-cost administrators only at extreme scale.
So if you are a skilled, highly talented administrator, what should be your plan to ensure that your salary does not take a nose dive?
I think the answer is appliances for data analysis. (I am likely not talking about Hadoop, as many of the architectural designs for products in this area are completed.) Data analysis appliances are in their infancy today and will require significant care and feeding. The types of data analysis are going to be very complex. For example, you might de-pixelize an image and create a database of geolocations, normalizing for the resolution of the image, which might change over time based on improvements in technology. Then you might correlate the pixels to look for weather, climate or some other change like deforestation. This will be far different than taking business data and trying to correlate prices to sales to maximize profits.
Things that used to be difficult are going to be easier. But I suspect there will be a new class of more complex appliances that will try to address a wide variety of problems, and they are going to require significant tuning and configuration. The information collected and processed will have to be architected so that access is efficient when trying to correlate the information, process it and provide results to decisions makers.Final Thoughts
The storage complexity problem for file systems has been mostly solved. There are still a few hard problems out there, but not as many as there used to be.
However, there is a new and even more complex set of problems right in front of us. These will require a deep understanding of what the users need to do with the storage and how they plan to access the data to create information on which actionable decisions can be made. These jobs are going to be high paying and require a broad set of skills. But the skills will be different than the current skills required for SAN and NAS and even the other types of appliances that are out there. Those involved are going to have to work directly with the application developers and users.
Come to think of it, this sounds a great deal like 1996 and 1997 when SAN file systems started to come out. Those of us involved then had to talk with everyone up and down the stack to get things going quickly and efficiently. I believe the same approach is needed today.
This article introduces the design philosophy and tenets of the Intelligent Architectures (IA) approach to systems architecture: a philosophy centered on the use of archetypes - original models after which similar things are patterned. This article presents the IA archetypes in brief, as well as rules and recommendations for combining archetypes to design systems and datacenters.Like this article? We recommend
IS/IT staff are continually faced with the need to architect systems, whether for the deployment of new systems and services or in the redesign of existing systems and services. Sun's Enterprise Engineering group has developed Intelligent Architectures as a technique to architect systems and datacenters.
This paper will introduce the design philosophy and tenets of the Intelligent Architectures (IA) approach to systems architecture; a philosophy centered on the use of archetypes—original models after which similar things are patterned.
This paper will present the IA archetypes in brief, as well as rules and recommendations for combining archetypes to architect systems and datacenters. Additionally, recommendations for the combination of archetypes through the use of traditional design techniques such as top-down or bottom-up and structured or ad-hoc design will be explored.
Throughout this paper the terms "application" and "service" are used interchangeably to refer to a software construct that provides a function to other systems or end-users. The term "server" is used to refer to the hardware platform upon which a service executes. Finally, the term "system" is used to denote the combination of a server and all of the applications provided by that server.
The IA approach is built on several tenets that we consider to be essential to "good design." However, before examining these tenets the concept of what is meant by a "good design" should be clarified.
For our purposes, a good design is one that helps maximize the reliability, availability and serviceability of a system. Further, a good design is as simple as possible while providing maximum extensibility. This simplicity enables the system to be easily understood, enhancing the maintainability of the system.
A good design must allow for the inevitable failure of a component or of the system as a whole. A good design provides recovery tools that aid in the rapid recovery of the system.
Finally, a good design must meet the requirements for the system, regardless of whether all of the requirements are known or whether they are accurate. It is only through an agreed upon set of requirements that a solution can be formed and eventually judged a success or failure. In the absence of known requirements, assumptions must be documented, and, most importantly, agreed upon with the customer (or end-user). The requirements definition process, like the design process, can be viewed as an iterative process that produces successive refinement.Intelligent Architectures Design Tenets
Clustering for highly-available (HA) services, for example, with Sun™ Cluster software, is an area where service requirements must be examined very carefully. When implementing an HA service, there is a common misconception that the boot disk does not need to be mirrored because the service can be failed-over to another host in the event of a boot disk failure. While this is true, it does not account for the time the service is unavailable during the fail-over process. Although it may not take the fail-over very long to complete, if the requirements of the service are for five nines (99.999%) of availability, you should avoid the fail-over time altogether by mirroring the boot disk.
The inverse of this concept is also interesting to consider; it may not always be necessary to mirror the boot disk on systems providing an HA service. Consider the HA system management services provided by System Service Processor (SSP) to the Sun Enterprise™ 10000 platform; all Sun Enterprise 10000 configurations should have two physically distinct SSPs; a main SSP, and a spare SSP. With this configuration, there is no need to use a logical volume manager (LVM) to mirror the system disk of the main or spare SSP. In the event of a system disk failure in the main SSP, the SSP services can simply be failed-over to the spare SSP. The unavailability of the SSP during fail-over will not affect any running domains on the platform managed by the SSP. Further, because the SSP has only one system board and one SCSI disk controller (which are both single-points of-failure), the complete physical redundancy of SSPs gives you greater protection than mirroring with an LVM on the main or spare SSP.
In short, no single rule or best practice can be given that is appropriate for all systems in all datacenters. While you should take the datacenter site standards and experience of the datacenter personnel into account, the requirements and needs of the application must be the driving force for the decisions and compromises made in designing a system and planning its boot disk.
The IA design tenets are:
Design for the needs of the application
Employ an iterative design process
Design with simplicity in mind
Employ reusable design components
The following sections explain these tenets.Design For the Needs of the Application
It is crucial that the development or choice of software tool be based on the requirements and needs of the system or datacenter. Consider the need of choosing an LVM, such as the Solstice DiskSuite™ software or VERITAS Volume Manager (VxVM). All too often, the choice of LVM is based on emotion, uninformed opinion, misunderstanding, or misconception. While the system administrator's experience and comfort level with an LVM are important, these factors should contribute to the decision of which LVM to implement, but must not be the driving force in the choice.
Before creating or implementing a system architecture, you must define and understand the availability and serviceability requirements of an application or service. These requirements must be the driving force in selecting and implementing a system and system software. The availability and serviceability needs of the application are paramount.
Further, the availability and serviceability requirements of an application must be addressed in the design of a system. For example, a system to be used exclusively to provide a data warehouse service is ideally suited to have its database implemented on a RAID5 volume, especially RAID5 implemented in hardware of the storage device or enclosure. The data warehouse transaction mix, which is almost entirely database reads, is well suited to RAID5 and data redundancy, and availability is achieved without the high cost of availability that RAID1+0 would impose. The read-oriented nature of the data warehouse allows the major weakness of RAID5 (extremely slow writes) to be avoided.
It is important to note that the preceding example did not mention the operating system (OS) or boot disk. The OS and the on-disk image provided by the boot disk exist to provide an environment for the application or service to function. The system architecture, of which the boot disk is a key component, must be designed and implemented to optimize the application, not the OS. In the preceding example, the LVM that provides the most efficient implementation of software RAID5, or the LVM that works best with the hardware RAID5 subsystem of the data warehouse, is the best LVM for the system.
This concept of system architecture is the architecture side of the axiom used in performance tuning; That axiom states that the greatest performance increases are gained in tuning the application, and the least performance increases are achieved in tuning the OS.Employ an Iterative Design Process
When creating a system architecture, be aware that very few (if any) systems are deployed and then put into stasis. Systems, by definition and by necessity, are in an almost constant state of flux. The system life cycle is used to describe the phases a system or component goes through. These phases usually include initial concept, deployment, sustaining maintenance, and retirement. With many systems or components in a modern IT datacenter, the system life cycle dictates that constant changes will occur.
This concept of a system life cycle maintains that nearly every system will be designed and then redesigned several times in its lifetime. In fact, the analysis of existing system architectures and system redesign, or remodeling, is quite possibly one of the most common activities for system administrators and IT architects. They are rarely given an empty datacenter, a multibillion dollar budget, and told to "create a datacenter." More often, system architects are given a datacenter with legacy systems, very little remaining floor space, aggressive schedules, and insufficient budget.
The main constraint when remodeling is that one can't start over from scratch. Further, constraints like cost, risk, time, fallback plans, and return on investment create additional problems to remodeling systems. Making appropriate choices regarding the system architecture are critical to being able to work within these constraints.Simplicity in Design
In addition to masking potential reliability issues, system complexity is often one of the largest inhibitors to system recovery. Because less-complex systems are more readily and quickly understood (and, therefore, easier to troubleshoot) than complex systems, decreased system complexity may help speed system recovery in the event of a failure.
Simplicity in design also benefits junior system administrators and junior datacenter operations staff by enabling them to administer systems that otherwise may have been beyond their experience or abilities.
Additionally, decreased system complexity helps minimize potential exposure to software bugs or harmful interactions between software components. Simply by decreasing the number of installed software components, you can reduce the potential for bugs or harmful interactions between software.Reusability of Design Components
Reusing system components offers many advantages to the system architect. By having a common and reusable component design, the time required to architect systems decreases.
Additionally, reusable components provide a "known quantity" to system designs. The software components can be debugged and their correctness verified before integration into the system architecture. By combining these reusable components, you can design and deploy systems faster than you could by designing each system from the ground up.
Further, utilizing reusable components increases consistency across all systems in the datacenter. This minimizes the "one-off solutions" and ensures adherence to site standards.
This consistency across systems is, quite possibly, the greatest benefit of using reusable design components. Consistency across systems in your datacenter improves system recovery, simplifies maintenance procedures and run books, and enables systems to be installed and deployed faster.
The benefits and importance of reusable components are so great that the IA design philosophy is built around the utilization of archetypes, an original model after which similar things are patterned; essentially reusable components.
The Kepler team continues with its very busy operations and data analysis activities. Monthly science data downloads were successfully completed in July and August 2010 on schedule. These downloads represented Quarter 6, Months 1 and 2, of the Kepler mission data set. Project management and engineers recently gathered to assess Kepler flight system performance since operations began on May 12, 2009. Spacecraft subsystem engineers presented data summaries and analyses on several functional areas: power, thermal, attitude determination and control, telecommunications, avionics, propulsion and photometer. These engineers were able to see how their systems performed over a Kepler year (371 days), and even a bit of an overlap with the beginning of year 2.
During the course of a Kepler Year, several changes occur. As the spacecraft orbits the sun, while maintaining the telescope pointed at the science field of view, the sun position changes on the solar panels, changing the solar array output. As equipment moves in and out of the sun, heaters go on and off to maintain stable temperatures. The star trackers, which are used for coarse attitude control, use different stars each season. The relative angles to the Earth also change throughout each quarter, causing the telecom signal levels to change. All these things can change the spacecraft’s performance. In addition, with the year 2 overlap, we are able to see how performance has changed since we were at the same conditions as we were one year ago.
In general, predictions were close to actual flight performance for all systems. The power systems (solar panels and battery) have performed somewhat better than expected. Thermal analysis shows the spacecraft is a bit warmer than expected in some areas, probably due to some initial degradation of the surfaces exposed to the sun, but well within expected ranges and all heaters are working well. Since the flight software and star tracker patches that were made in April 2010, the ADCS system has been nominal and the fine pointing control used in science observations are well below the required accuracy and stability requirements.
The telecom system has been performing without problems and is matching predicted performance levels. Kepler is the first mission that uses Ka-Band to downlink science data and we have been very pleased with both our spacecraft performance and that of the Deep Space Network operations. We have been able to communicate with the spacecraft at lower elevation angles than initially planned, and the data drop-out rate has been very small. Avionics have been working well, with good margins on processing capacity.
The propulsion system on Kepler is used about once every 3 days to spin down the reaction wheels that are used to maintain attitude control. Analysis shows that we are using slightly less propellant to do this than our conservative, pre-launch models. The photometer continues to work well and although one module failed back in January 2010, we still exceed the requirement for field of view.
Predictions for the rest of the mission are all positive, and we see nothing that would cause us to change our operating plans. The only expendable resource we have on Kepler is propellant, and estimates are that we have sufficient propellant for another 10 years (well above the 2.5 years remaining in the nominal mission). Currently our most challenging issue as we look out in the long term, is the telecom margin as the spacecraft gets further from the Earth. We will have to continue to drop our data rate over time, as the signal strength drops due to distance. Overall, the project is quite pleased with the spacecraft's performance so far.
Meanwhile, the Kepler Science Team has been quite busy analyzing all the data Kepler has collected to date. There are many planetary candidates that the team must assess and verify as a true planet or a false signature. As you know, the Kepler Mission has a primary goal of measuring the brightnesses of 100,000+ stars with unprecedented precision. If an Earth-sized planet orbits in front of a sun-like star, the blocking of the starlight causes the star to dim over and over, allowing Kepler to detect the planet. The bigger the planet, the more light it blocks, allowing the Kepler team to determine the diameter of the planet.
Such a discovery is called a "planet candidate" because it has not yet been verified as a true planet. If it isn't a planet, why does the star appear to dim, over and over? One nagging possibility is that behind the star are two additional stars that orbit each other, eclipsing themselves when they cross in front of each other. Such a background "eclipsing binary star" would dim once per orbit, mimicking the dimming signature of a planet. In that case, the "planet candidate" would not be a planet at all. We would be fooled. With hundreds of planet candidates emerging from Kepler, as announced in June 2010, the challenge of weeding out the eclipsing binary stars from the bona fide planets is a daunting task.
The Kepler Mission assesses these false planets with its "Follow-up Observing Program" (FOP) designed to distinguish true planets from the imposters. The FOP consists of 15 team members, each with different expertise in different methods of identifying pesky eclipsing binary stars. The first approach is to obtain high quality pictures of the field of stars around the main stars. The FOP takes images of the field surrounding Kepler stars using a 1-meter telescope at Lick Observatory, 2-meter telescopes operated by the Las Cumbres Observatory, and even the Keck telescope in Hawaii for the highest priority stars. So far the FOP has obtained images of over 400 Kepler stars. To obtain more detailed images, the FOP uses the adaptive optics system on the 5-meter Palomar telescope and the MMT telescope on Mt. Hopkins. Adaptive optics can take pictures capable of detecting any eclipsing binary located exceedingly close to the star. Any star showing no eclipsing binary by adaptive optics is unlikely to have one still hiding, by chance, behind the glare of the star.
Another way the FOP weeds out eclipsing binary star is by taking a "reconnaissance" spectrum of the star. Using telescopes with 3-meter diameter mirrors at Mt. Hopkins, McDonald, Lick and the Canary Islands observatories, the light of a star can be spread out with a spectrometer into the colors (i.e. wavelengths) of which the light is composed. Eclipsing binary stars reveal themselves by the two distinct rainbows of colors they each produce, painted one on top of the other, but displaced from each other by the Doppler Effect. The Doppler effect is what allows a police officer to detect a speeding car on the highway. An eclipsing binary star would exhibit two different speed readings in its spectrum of colors, betraying the existence of two orbiting stars whizzing around each other. The reconnaissance spectrum also permits the FOP to determine how many "spectral lines" the star has and how sharp those lines are. Spectral lines are light at a particular frequency, just as a piano has notes of a particular frequency. The spectral lines come from atoms in the star’s atmosphere, and a large number of lines and their sharpness offers a chance to measure the Doppler effect with extreme precision, measuring the speed of the star to within human walking speed. Indeed, the highest priority planet candidates (those nearly Earth-sized) are then observed with the Keck telescope in Hawaii with its "HIRES" spectrometer, with the goal of measuring the Doppler Effect with extreme precision of one meter per second. A planet will pull gravitationally on its host star, yanking it to and fro, and such motion of the star can be detected by the changing Doppler effect. Thus, the planet candidate can be certified as a bona fide planet by detecting the orderly "wobble" of the star as seen in the continuously oscillating Doppler effect.
Moreover, the Kepler FOP measures the amount of Doppler effect of the star. The more massive the planet, and greater the gravitational tug on the host star. So the FOP can use the amount of Doppler effect of the star to measure the mass of the planet. This is a glorious achievement, as the dimming measured by Kepler gives us the planet's diameter, while the Doppler effect gives us the planet's mass. The beauty of this is that we can directly determine the density of the planet, which is its mass divided by its volume. Planets like Earth have the high density of rock, about 5 grams per cubic centimeter, while gaseous planets like Jupiter have much lower densities of about 1 gram per cubic centimeter. The FOP measurement of the planet's density allows the Kepler team to distinguish true rocky planets, like Earth, from gaseous planets, like Jupiter.
The FOP has its work cut out for it. With hundreds of candidate planets from Kepler, there are thousands of imaging and spectroscopic observations that must be made. The FOP scientists are incredibly hard-working, spending hundreds of long nights at telescopes around the world. The two goals of the FOP are crucial to the Kepler mission, namely to weed out the eclipsing binary stars that mimic planets and to measure the masses of the credentialed planets. So far, many hundreds of images and over 700 spectra have already been taken of the Kepler planet candidates. A dozen eclipsing binaries have indeed been found, cleansing them from the planet candidates that Kepler continues to pursue. In the end, Kepler plus the FOP will provide the hard data that secure the discovery of Earth-sized planets around other stars.
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