|Exam Name||:||IBM IOC Intelligent Transportation Technical Mastery Test v1|
|Questions and Answers||:||30 Q & A|
|Updated On||:||February 14, 2019|
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000-N16 exam Dumps Source : IBM IOC Intelligent Transportation Technical Mastery Test v1
Test Code : 000-N16
Test Name : IBM IOC Intelligent Transportation Technical Mastery Test v1
Vendor Name : IBM
Q&A : 30 Real Questions
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IBM, drawing on some 2,000 "sensible metropolis" initiatives it has worked on in recent years, has released its clever Operations core for Smarter Cities, an answer designed to assist cities of all sizes get an integrated view of information across city departments and groups.
The clever Operations middle combines analytics applied sciences created by using IBM analysis working with cities everywhere, comparable to a latest assignment in Rio de Janeiro, Brazil, along with these got in contemporary acquisitions.
city managers can follow the expertise through a unified operations center to precisely gather, analyze and act on tips about metropolis programs and capabilities; analyze actual-time suggestions to improved mannequin and anticipate complications; and integrate real-time guidance from throughout multiple metropolis methods to foster collaborative decision-making, IBM officers pointed out.
“Cities will benefit from a logically significant means of figuring out their statistics, of coming to the conclusions about which analytics to make use of, of using these analytics and visualizing these consequences,” mentioned Mark Cleverley, IBM’s director of public security options.
The operations core does not always have to be a physical core. It is usually a virtual portal with dissimilar features of entry, Cleverley spoke of. The precept in the back of the idea is to supply municipalities with a group of pre-packaged products that support cities gain a holistic view throughout departments and corporations, he noted.
The aim is to assist cities of all sizes use analytics extra without difficulty to make intelligent decisions according to more suitable great and timelier counsel. city managers can entry advice that crosses boundaries, so they’re no longer specializing in an issue within a single domain. they can delivery to feel about how one company’s response to an event affects other businesses, Cleverley said.
local leaders can control a spectrum of movements, each planned and unplanned, reminiscent of deploying water maintenance crews to restoration pumps earlier than they smash, alerting hearth crews to damaged fire hydrants at an emergency scene, or awaiting traffic congestion and preparing redirection situations.
As city managers consolidate IT infrastructures to reduce expenses and in the reduction of duplication, they are putting extra of a focus on working smarter cities. Gaining a holistic view of city operations is a wave of the long run, referred to Thom Rubel, vice president of research at IDC government Insights.
IDC estimates the new smarter cities IT market probability at $34 billion in 2011, increasing greater than 18 percent per year to $fifty seven billion by 2014.
IBM plans to build on the groundwork of IOC, offering pre-designed capabilities to usher in advice from distinct metropolis domains, such as power, health, public works, public security, transportation and water.
IOC isn't whatever thing IBM has pulled out of a hat however somewhat “is established on actual mission-primarily based event,” Cleverley said. IBM is applying the best practices and options the company has gleaned from greater than 2,000 smarter cities engagements.
as an example, officers in Rio de Janeiro are working with IBM on a multimillion-greenback plan that contains a city Operations middle to support meteorologists, geological surveyors, field operations and safety work collectively to speed up emergency responsiveness. After a series of floods and mudslides claimed the lives of 100 americans in April 2010, city officers diagnosed the deserve to drastically overhaul metropolis operations, a huge step additionally in getting ready for the world Cup in 2014 and the Olympics in 2016.
The Rio de Janeiro middle integrates suggestions from distinctive government departments and public organizations to enhance city safety and responsiveness to a number of sorts of incidents, together with in the neighborhood critical flash floods and landslides.
As part of the contract, IBM analysis scientists have developed a high-resolution weather forecasting and hydrological modeling equipment for Rio de Janeiro, which may predict heavy rains up to forty eight hours in improve.
The Rio de Janeiro core is an specific physical location. "we are working on a cloud-primarily based version of [IOC] so it won’t always need to be on premise,” despite the fact most cities will need it on premise, Cleverley pointed out. A cloud computing model would be attractive to lessen-tier cities with fewer financial and IT supplies, he introduced.
IBM is organising a neighborhood of enterprise partners so that you can advance complementary options with potential in areas similar to architecture and water management, devices including video cameras and wise meters, and city services application. companions working with IBM consist of: AECOM, Badger Meter, ESRI, Telvent, Veolia Water North america and VirtualAgility.
The intelligent Operations core for Smarter Cities cost is based on the amount of integration required, number of users, the way it is deployed -- shared, cloud, etc -- and the dimension of the metropolis.
Rutrell Yasin is is a contract expertise writer for GCN.
IBM Corp. has developed a new providing based on its work with local governments and it going after what can be a $fifty seven billion market.
massive Blue, drawing on some 2,000 "wise city" tasks it has worked on in contemporary years, has launched its intelligent Operations core for Smarter Cities, an answer designed to assist cities of all sizes get an built-in view of assistance across metropolis departments and agencies.
The clever Operations core combines analytics applied sciences created by way of IBM analysis working with cities everywhere, corresponding to a latest challenge in Rio de Janeiro, Brazil, along with these acquired in fresh acquisitions.
IDC govt Insights estimates the brand new smarter cities IT market possibility at $34 billion in 2011, increasing greater than 18 % per 12 months to $fifty seven billion by means of 2014.
city managers can practice the know-how via a unified operations core to accurately gather, analyze and act on assistance about metropolis techniques and functions; analyze real-time assistance to more desirable mannequin and count on issues; and integrate actual-time guidance from throughout multiple metropolis techniques to foster collaborative resolution-making, IBM officials said.
“Cities will advantage from a logically vital means of knowing their statistics, of coming to the conclusions about which analytics to use, of the usage of these analytics and visualizing these outcomes,” mentioned Mark Cleverley, IBM’s director of public safety solutions.
The operations middle does not necessarily have to be a actual center. It is usually a digital portal with numerous points of entry, Cleverley noted. The principle at the back of the idea is to deliver municipalities with a group of pre-packaged items that assist cities benefit a holistic view throughout departments and businesses, he mentioned.
The aim is to support cities of all sizes use analytics more effortlessly to make clever selections according to improved best and timelier information. city managers can entry advice that crosses boundaries, so they’re no longer specializing in a problem within a single area. they can birth to suppose about how one company’s response to an adventure affects different businesses, Cleverley noted.
native leaders can manipulate a spectrum of pursuits, both planned and unplanned, similar to deploying water upkeep crews to repair pumps earlier than they destroy, alerting hearth crews to damaged fireplace hydrants at an emergency scene, or looking ahead to traffic congestion and preparing redirection eventualities.
As metropolis managers consolidate IT infrastructures to reduce charges and in the reduction of duplication, they are inserting more of a focus on operating smarter cities. Gaining a holistic view of city operations is a wave of the long run, observed Thom Rubel, vice president of research at IDC govt Insights.
IBM plans to build on the groundwork of IOC, providing pre-designed capabilities to usher in information from distinctive city domains, akin to power, fitness, public works, public safety, transportation and water.
IOC isn't whatever thing IBM has pulled out of a hat but fairly “is founded on true venture-primarily based adventure,” Cleverley noted. IBM is applying the ultimate practices and options the company has gleaned from more than 2,000 smarter cities engagements.
for instance, officers in Rio de Janeiro are working with IBM on a multimillion-dollar plan that contains a metropolis Operations center to support meteorologists, geological surveyors, field operations and protection work together to pace up emergency responsiveness. After a sequence of floods and mudslides claimed the lives of 100 individuals in April 2010, city officials identified the should greatly overhaul city operations, a huge step additionally in preparing for the realm Cup in 2014 and the Olympics in 2016.
The Rio de Janeiro middle integrates tips from dissimilar government departments and public agencies to improve metropolis safeguard and responsiveness to various sorts of incidents, including locally important flash floods and landslides.
As a part of the settlement, IBM analysis scientists have developed a excessive-resolution climate forecasting and hydrological modeling equipment for Rio de Janeiro, that could predict heavy rains up to 48 hours in improve.
The Rio de Janeiro core is an exact physical location. "we're working on a cloud-based version of [IOC] so it won’t always deserve to be on premise,” however most cities will want it on premise, Cleverley noted. A cloud computing mannequin can be beautiful to reduce-tier cities with fewer monetary and IT elements, he added.
IBM is organising a community of company companions on the way to strengthen complementary options with knowledge in areas comparable to structure and water administration, devices together with video cameras and smart meters, and city services application. companions working with IBM encompass: AECOM, Badger Meter, ESRI, Telvent, Veolia Water North the united states and VirtualAgility.
The clever Operations core for Smarter Cities cost is stylish on the amount of integration required, number of clients, how it is deployed -- shared, cloud, and so forth -- and the dimension of the metropolis.
Rutrell Yasin is is a freelance expertise author for GCN.
chopping emergency response times in Rio de Janeiro by 30 p.c? reducing pollution in San Francisco’s Bay enviornment? removing traffic congestion in Lyon, France?
those are all things that you could do … in case you make your city smarter.
IBM calls it clever Operations center (IOC), and in the past three years has led over 2,000 projects to “monitor, measure, and manipulate metropolis features reminiscent of water methods, public security, transportation, hospitals, electrical energy grids, and structures.” just this past week, the company introduced new tasks in South Bend, Indiana, Davao, Philippines, and Lyon, France.
In each of them, the business could be working to add sensors to commonplace infrastructure, install software to integrate and control the huge inflow of data, and supply city officers with the assistance and intelligence they deserve to run their cities enhanced. hopefully, the effect might be more suitable, more livable, and greater sustainable city environments.
VentureBeat spoke to Chris O’Connor, IBM’s vice chairman in charge of engineering and smart city items, to find out what makes IOC tick. And to study what can be the way forward for sensible cities … an working gadget for reality.
photo credit score: ShutterStock
VentureBeat: What’s protected in a “city working equipment?”
O’Connor: There are two main issues. In each and every area (as an instance policing, social functions, or transit), you need to take the digital tips and make that area very efficient and educated.
Secondly, you pass-connect the organizations, linking silos of suggestions that don’t always work together presently. as an example, you hyperlink the enabling procedure and your hearth, transit, and ambulance systems, which would help you create dynamic allows for special routine. Or, you could take one set of assets, like cameras, and use them for both transportation and policing. This allows for agencies to work together in groups in emergencies.
VentureBeat: What types of sensors are we speakme about spreading through our communities?
O’Connor: within the ultimate 5 to seven years, every thing comes with records: water meters, all mechanical programs like elevators, site visitors sensors, stop lights, toll booths, busses, taxies. Even law enforcement officials with hand scanners giving parking tickets.
Then there’s soft data, like tweets or reputation updates.
And, of course, there are security sensors: water defense, chemical detection, and so forth.
VentureBeat: How do the sensors talk?
O’Connor: The underlying basic move happens over cyber web protocols. The language can range widely but is always consolidated by using category (as an instance, transportation instruments all communicate an identical languages). Water techniques are the same manner. Policing protocols as neatly.
There is some degree of open requisites … efforts and requisites our bodies trying to unify them. The center of attention up till now has been to get the domains to have a standard language.
however the next era is to create some typical specifications, or at the least usual interaction protocols. We take part in standards our bodies around that.
VentureBeat: What working techniques do the sensors run? Android, Linux?
O’Connor: It varies fairly broadly counting on dealer. Many run some variety of Linux or some flavor of an embedded OS. Some run very small, proprietary pieces of micro-code.
VentureBeat: So what does IBM do … what’s your function?
O’Connor: Our role is tying the tips flows together and developing a common tips mannequin, enabling the companies to engage.
We do have a microelectronics division that does work with most of the companies and helps build the sensors.
VentureBeat: What are the important thing things you’re saying these days?
O’Connor: I think of three leading aspects in the three cities, and every metropolis drives a unique factor. All three of them will use the intelligent Operations center. it is the product it truly is designed to ingest suggestions and make it primary.
picture credit: ShutterStock
Davao, a Philippine city, is using IOC to link two businesses collectively: emergency response and transportation. What it does is give them more advantageous coordinated response and the potential to run emergency ops with general operating processes and permit the transportation authorities to participate in that on the equal time. That’s an illustration of go-organizations coming collectively.
The 2nd one is with considered one of our business companions known as Veolia. Veolia is working with the city of Lyon, France, the usage of the operation middle with some of the transportation modules to be capable of instrument transportation interior the metropolis. What’s huge about here's that IBM isn’t handiest selling to cities, we’re selling to companions whose expertise is transportation or water, and that they’re delivering this capacity on their own.
And the third case — it’s very wonderful and it’s been up and running for a while — is South Bend, Indiana. South Bend is the use of this for water management, waste water, to assist them more advantageous circulation the water through the metropolis … and deal with the storm runoff that can also be very severe in that city at times. as a substitute of buying the utility, they’re using it in the cloud.
They send their facts into the IBM cloud, the IBM cloud runs the operations core, and that they then log onto the IBM operations center to have the cloud experience with no need to installation or purchase the application themselves. It’s a condominium model to be able to use the cloud to get the wise cities journey. Very inventive method.
VentureBeat: Are there open supply city “working techniques?”
O’Connor: There are open supply add-ons to be capable of provide some analytics and emergency administration. we now have adapters that let those join in. We don’t necessarily open supply all of our utility, but we've an open programming model that anybody can write to.
So as an instance in South Bend, they’ve opened up the IOC to the college of Notre Dame. The college and the personnel and the researchers at Notre Dame can use the programming mannequin to create anything classification of analytics, whatever thing type of adventure management, whatever dashboards they’d desire on suitable of it, and our programming model is absolutely open from that factor of view.
graphic credits: new york/ShutterStock, Lyon/ShutterStock, Rio de Janeiro/ShutterStock, South Bend/ShutterStock
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Article Rating:July 12, 2010 07:45 PM EDT
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By Carmen Gonzalez
Feb. 10, 2019 11:45 PM EST
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Feb. 10, 2019 10:15 PM EST
By Liz McMillanWhen Enterprises started adopting Hadoop-based Big Data environments over the last ten years, they were mainly on-premise deployments. Organizations would spin up and manage large Hadoop clusters, where they would funnel exabytes or petabytes of unstructured data.However, over the last few years the economics of maintaining this enormous infrastructure compared with the elastic scalability of viable cloud options has changed this equation. The growth of cloud storage, cloud-managed big data environments, and cloud data warehouses like Snowflake, Redshift, BigQuery and Azure SQL DW, have given the cloud its own gravity - pulling data from existing environments. In this presentation we will discuss this transition, describe the challenges and solutions for creating the data flows necessary to move to cloud analytics, and provide real-world use-cases and benefits obtained through adop...
Feb. 10, 2019 09:45 PM EST
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Feb. 10, 2019 08:00 PM EST Reads: 14,062
I'd like to share some of the design highlights of a large-scale content distributing system I worked on a while back. Some of the highlights may seem trivial; some may be a little more complicated. To me, software design is a matter of finding a balance between applying available technologies and fulfilling real-world requirements and constraints. The goal of design is always to ensure both the runtime and development-time quality of the software.
I'll be using two of the components from the project, Scheduling Management Component (SMC) and the Data Access Layer (DAL), for purposes of illustration. The function of SMC is to monitor the database and detect any newly added or updated content, and schedule that content for delivery based on some business logics. The DAL, as its name implies, provides data access services.
Extensibility by OOP Patterns and PrinciplesIn the early design phase of SMC, we quickly lay out some of the candidate classes, as well as the relationships among them. In UML notation, class details are omitted at this stage. Figure 1 shows some of the major classes. The classes are by no means final, and neither are the relationships. We're trying, however, to capture the business requirements as much as possible.
We've designed the Schedule-Manager class as the façade of this component. It exposes external APIs. Other components that need to interact with SMC do so through this class. ScheduleManager is also in charge of managing the lifecycles of classes inside SMC.
One of the business requirements is that the first production release of the software won't support clustered deployment, but it will in later releases. One of the keys to supporting clustering is managing the states of the component instances deployed across the clustered nodes so that they're always in sync. Keeping this in mind, we decide to centralize the cluster-sensitive states of all the SMC classes into one class rather than having each class manage its own states. This results in a SchedulingContext class. This class knows how to save and retrieve various states of the component. When the time to support the cluster comes along, instead of having to open up each class and make changes, all we have to do is change the SchedulingContext class - that modifyies the way this class accesses states so that all the clustered instances share the same states, virtually or physically.
The UML diagram in Figure 2 shows some major classes after introducing the SchedulingContext class.
One issue we immediately notice with this design is the tight coupling between the SchedulingContext class and the classes that depend on it. As you can see, quite a number of classes depend on the SchedulingContext class. If we have to change the SchedulingContext class for any reasons (fixing bugs, adding new business features, switching to other application server, etc.), chances are we also have to make changes to the dependent classes.
Following OO best practices, interfaces are good at promoting loose coupling. In fact, it's always a good idea to code to interfaces rather than concrete classes (another simple yet powerful OO principle). The solution is simple enough - we abstract the scheduling context by making SchedulingContext an interface. We also want this interface's client to be unaware of the actual implementation, and the GoF Abstract Factory Pattern does the job.
The design of the Scheduling Context is shown in Figure 3. When it comes time to support clustering, we can do it with little programming. It makes it a lot easier to maintain the software after it goes into production. We also avoid vendor lock-in by shielding the cluster-sensitive implementation, which is likely to be vendor-specific.
Another consequence of moving the states of an individual class into SchedulingContext is that we can now design other stateless classes, which is good because:
Note that, at this point, ScheduleManager and SchedulingContent are acting together as the "container" of the other classes in the sense that:
This is intended and, as you'll see later, we'll use the container-like feature of these two classes more in our design.
Decoupling with IoC PatternSo far, everything is pretty simple and straightforward. What else can we do to make the design better?
With the current design, unit testing isn't a trivial task. Let's take the FNDTaskPuller class as an example. Listing 1 shows the simplified version of this class. For demonstration purposes, let's assume this class has a business method, someBizMethod().
To test this class, we'd create a test class similar to the one shown in Listing 2.
What's the problem with this code? We're testing SchedulingContextSimpleImpl (which is the concrete class of SchedulingContext) indirectly. But we really mean to test the FNDTaskPuller class. This isn't right. As we all know a unit test should never go outside of its own class boundary.
Furthermore, it's hard to control the states of the SchedulingContextSimpleImpl in order to test the different behaviors of FNDTaskPuller class.
In practice, a common technique to overcome this kind of tight coupling is using mock objects, which can assist in separating unit tests. Mock objects themselves, however, require extra coding efforts. This extra coding effort can be significant, buggy, and cause maintenance problems. What more? Developers have to replace mock objects with real classes at deployment.
The reason for this problem is the way we acquire the reference to the SchedulingContext object in the FNDTaskPuller class. In this case, the FNDTaskPuller class is asking for a reference to a SchedulingContext object. Explicitly.
To get around this, we need to change the way we obtain an object reference. This is where Inversion of Control (IoC) comes into play.
With IoC, objects obtain references to their dependent objects passively. The IoC container literally "injects" the dependency into the classes.
Now, we need an IoC container for our design to wire the objects. We have the choice of using an existing container product or building our own. Normally in-house framework building is considered a bad practice because of its complexity and inefficiency. However, we decided to do it anyway after carefully figuring out what we really needed. Some of the reasons are:
Our solution was to embed the simple dependency wiring functions in the ScheduleManager class, which, as mentioned, was already acting as the SMC "container." It also made sense to embed the IoC functions in this class. Because of the simplicity of construction injection, we refactored all the classes depending on the SchedulingContext so that they were ready for constructor injection. Listing 3 gives the FNDTaskPuller class as an example.
All we have to do in the ScheduleManager class is to instantiate a SchedulingContext object and assign it to classes that need a reference to it. If, some time in the future, a full IoC container is needed, we can just modify the ScheduleManager class.
Taking Care of Scattered CodeWhile designing the data access layer, we foresaw that there would be a lot of scattered "plumping" code - code that doesn't do anything related to business functions. They are only here to fulfill middleware functions: JNDI lookup, JDBC resource management, exception handling, etc. This code will spread into almost all data access objects (DAOs) and, in most cases, this code is identical method to method. We all hate scattered code because it's a maintenance nightmare, is error-prone, and makes code hard to understand.
List 2 is an example of a how we would have implemented our data access methods without AOP.
In Listing 4, only one line of the code is actually "doing something." The rest is just "plumping" code. When "plumping" code starts leaking into your application, chances are you'll find yourself hunting down all the application code when requirements change.
There's one thing we can do. While OOP makes software design modular, AOP makes code modular. And modularity is good.
Once again, we faced the choice of using an existing AOP framework or building our own. We decided not to use any of these frameworks for the same reason why we didn't use a IoC container. Instead, we separate the concerns programmatically in our code. Although this is not the most elegant, cleanest way, it's the fastest, which, in our case, is a big gain.
To separate the cross-cutting concerns from the DAOs, we came up with the following class design:
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