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C2120-800 IBM PureApplication System V1.1, System Administration

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C2120-800 exam Dumps Source : IBM PureApplication System V1.1, System Administration

Test Code : C2120-800
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: 85 real Questions

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IBM IBM PureApplication System V1.1,

IBM 'mini' PureApplication system can understanding sticker shock | killexams.com real Questions and Pass4sure dumps

IBM has rolled out a raft of latest PureSystems in response to its vigor 7+ processor, together with a mini version of its PureApplication materiel that some IT execs verbalize expenses too lots for an entry-level offering.

the brand original IBM PureApplication device comes in two configurations: a 32-core configuration and a 64-core configuration, each x86-based. This device is obtainable starting at $31,000 per thirty days with 0% financing over 36 months, which amounts to $1.116 million.

The PureApplication system consists of converged infrastructure and application that immediately installs and scales functions. IBM pushes its more simple PureFlex programs, which start at $100,000, for managed service suppliers (MSPs), and may present pay-as-you-go pricing for MSPs registered as IBM traffic partners handiest. PureApplication is in keeping with PureFlex, but with middleware and database application woven in to instantly set up Java purposes.

while now not marketed in particular for small- to medium-sized businesses, the mini model will offer companies with restricted budgets a "cloud in a box," in line with an IBM press free up.

however the IBM PureApplication materiel adds price, it does not jibe with the large cost difference, observed one impartial utility vendor confederate who presents application on both programs.

"It leads us to compose expend of PureFlex extra significantly as an alternative of PureApplication," pointed out Panos Konstantinidis, co-founder and enterprise approach director for OneTree solutions, makers of PriceLenz utility based mostly in Luxembourg.

it would be pleasant if the PureFlex pay-as-you-go cost way offered to MSPs could be offered to traffic customers as well, Konstantinidis mentioned.

For an commercial enterprise person, the election for a brand original infrastructure is both PureFlex or a power 7+ server environment orchestrated with IBM methods Director. even though there are original PureApplication "patterns" -- IBM's identify for the computerized application-deployment utility that incorporates PureApplication -- there aren't sufficient of them that swimsuit the company's wants.

"PureFlex is a extra established-intention device," notable Nigel Fortlage, a CIO at a spacious Canadian international change provider company.

The case for IBM PureApplication

the two techniques even gain two distinctive audiences, spoke of Joe Clabby, president of Clabby Analytics primarily based in Yarmouth, Maine.

those that are interested in PureFlex want to tinker with hardware components the expend of a unified administration midplane provided with the aid of IBM, whereas folks that whisk for PureApplication crave IBM to finish bar nonexistent the integration work and tuning concerned in deploying a complete software.

The cost delivered with the aid of IBM doing bar nonexistent of the integration and tuning is worth the can permeate of admission, Clabby talked about, when weighed towards the amount of labor and time involved in deploying an software infrastructure within a firm.

"it's both pay me now or pay extra later to finish it your self," he observed. "PureApplication may additionally cost more, nevertheless it lowers your exposure to failure, which is an outstanding fitting for valued clientele concerned about elevated availability and reliability."

IBM claimed that customers who've carried out enterprise cost assessments with the PureApplication gadget gain saved up to $5 million over three years.

New energy 7+ server squares off with x86

IBM will offer original fashions of its Power7+ servers, beginning at $5,947, which some traffic watchers verbalize is aggressive with comparable x86-primarily based methods.

"So regularly, x86 systems within the volume house are positioned as extremely competitive price-wise," said Jonathan Eunice, analyst for Nashua, N.H.-primarily based Illuminata Inc. "however add on things like VMware licensing and clustering utility, and value floods returned in."

IBM's materiel x server line begins at around $three,000 for a single-processor gadget, based on the IBM website. VMware's vSphere common begins at $995 per processor, plus $273 for basic support and subscription.

it be not going that many shops will start from x86 to Linux on power, analysts spoke of, however for those with latest energy-based mostly techniques, it may well be reassuring.

"The real challenge for IBM is to convince people that Linux on vigor is really Linux, and apps will simply run, and an election processor might not trigger compatibility issues," Eunice talked about.

Beth Pariseau is a senior word creator for SearchCloudComputing.com and SearchServerVirtualization.com. Write to her at bpariseau@techtarget.com or comply with @PariseauTT on Twitter.


IBM introduces original PureData system | killexams.com real Questions and Pass4sure dumps

focused on commercial enterprise purchasers, after PureFlex and PureApplication programs, IBM has added the third member in its PureSystems family. Named IBM PureData gadget, it is purposefully designed for huge statistics cloud home materiel via providing information capabilities to quite a lot of applications.

the brand original PureData gadget family is constructed from two primary platforms. PureData gadget for Transactions, which is aimed toward enhancing records administration fees, and PureData gadget for Analytics, which is designed to analyze large volumes of facts.

PureData system for Transaction is a scalable database platform designed with convenient deployment, optimization and administration of transactional database workloads. Touted as an authority built-in system, it specializes in enabling the system to automatically complete ongoing administration projects which is designed to ease the workload for database staff, promises factory-optimized methods that are designed out-of-the-field for scalability and reliability for a greater streamlined gadget integration and a reduced total can permeate of operation.

It comes with aid for current DB2 functions, constructed-in database compatibility points permitting emigrate Oracle Databases to IBM PureData device with minimal software change according to IBM.

PureData gadget for Analytics comes in two models: PureData device for Analytics and Operational Anaylitics, with the former incorporating greater than 200 in-database analytics services, developed-in PMML four (Predictive mannequin Markup Language) support, in-database geospatial analytics, records filtering with programmable hardware, asymmetric and parallel processing structure supporting petabyte scale, single integrated management console and line of assist in addition to other points.

PureData materiel for Operational Analyticsis designed to set up, control and optimize records-intensive workloads for operational analytics, coming as an out-of-the-box confess and is in a position to coping with greater than a thousand concurrent operational queries.

image: Dmitriy Shironosov/Shutterstock


Sorry IBM – a spacious domain is not A Platform As A carrier | killexams.com real Questions and Pass4sure dumps

In April, IBM rolled out a huge original desktop referred to as IBM PureApplication systems, a member of the PureSystems know-how family unit.

at the time, I  called IBM out for calling it a “PaaS in a field.” It jogged my reminiscence of Larry Ellison calling Oracle’s hardware a “cloud-in-a-container” lower back in 2010. well, IBM is continuing its PaaS washing. Krishnan Subramanian just tweeted about a original IBM post that went up today that’s titled:”Open 24x7x365: The IBM open PaaS and private cloud platform.”

Pure programs technology is IBM’s version of a converged infrastructure. It’s designed for implementation inside an commercial enterprise statistics middle. It’s a large box technology with converged compute, storage and networking. It’s in keeping with patterns expertise, that means expertise about bar nonexistent features of building. deploying and managing functions is hardened into the skilled integrated system. Patterns arrive from the skills developed through customer engagements and IBM’s mammoth event in constructing out facts centers.

It combines construction and virtualization environments into one field. It gives the client optimization, consolidation, a valuable residence for apps to flee with the elasticity that “cloud” gives.

In the day before today’s submit, IBM’s Michael Maximilien describes it as follows:

almost, the IBM PureSystems offering combines an infrastructure-as-a-provider (IaaS) substrate with a platform-as-a-carrier (PaaS) layer that too gives potential to codify workload add-ons into patterns.  With these patterns, users can with ease deploy workloads and functions in a predictable and repeatable style.

This view is counter to the definition of a PaaS. a honest PaaS is a cloud computing provider that removes the complexity required for developers to construct their personal application stacks. As Wikipedia features out, the issuer provides the networks, servers and storage.

In April, Krishnan cited why it makes no feel to convoke PureSystems a PaaS.  feel if you wanted to boost a brand original cloud centric app. Would you necessity  an impressive integrated answer like PureSystems? No. You’d are looking to deploy throughout a distributed environment.

instead, IBM unadulterated systems is proper for consolidating records facilities and operating legacy apps. but to name it a PaaS is a honest stretch.


C2120-800 IBM PureApplication System V1.1, System Administration

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C2120-800 exam Dumps Source : IBM PureApplication System V1.1, System Administration

Test Code : C2120-800
Test name : IBM PureApplication System V1.1, System Administration
Vendor name : IBM
: 85 real Questions

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IBM PureApplication System V1.1, System Administration

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IBM introduces original PureData System | killexams.com real questions and Pass4sure dumps

Targeting enterprise clients, after PureFlex and PureApplication Systems, IBM has introduced the third member in its PureSystems family. Named IBM PureData System, it is purposefully designed for spacious data cloud appliances by providing data services to various applications.

The original PureData System family is comprised of two major platforms. PureData System for Transactions, which is aimed at improving data management costs, and PureData System for Analytics, which is designed to analyze large volumes of data.

PureData System for Transaction is a scalable database platform designed with smooth deployment, optimization and management of transactional database workloads. Touted as an expert integrated system, it focuses on allowing the system to automatically complete ongoing administration tasks which is designed to ease the workload for database staff, promises factory-optimized systems that are designed out-of-the-box for scalability and reliability for a more streamlined system integration and a reduced total cost of operation.

It comes with support for existing DB2 applications, built-in database compatibility features allowing to migrate Oracle Databases to IBM PureData System with minimal application change according to IBM.

PureData System for Analytics comes in two versions: PureData System for Analytics and Operational Anaylitics, with the former incorporating more than 200 in-database analytics functions, built-in PMML 4 (Predictive Model Markup Language) support, in-database geospatial analytics, data filtering with programmable hardware, asymmetric and parallel processing architecture supporting petabyte scale, single integrated management console and line of support as well as other features.

PureData System for Operational Analyticsis designed to deploy, manage and optimize data-intensive workloads for operational analytics, coming as an out-of-the-box solution and is capable of handling more than 1000 concurrent operational queries.

Photo: Dmitriy Shironosov/Shutterstock


IBM adds analytics-specific boxes to PureSystems line | killexams.com real questions and Pass4sure dumps

  • Post
  • IBM (s ibm) is again expanding its PureSystems line of converged hardware, this built specifically for analytics. When the company debuted the first PureSystems, which combine compute, networking and storage, in April, spacious Blue said it had spent three years and $2 billion developing the line.

    The company’s original PureData System for Analytics features Netezza technology, which enables analytics inside databases. The original York Stock Exchange is already using the system to spot trading peculiarities that might warrant investigations, said Phil Francisco, vice president of spacious data product management at IBM.

    Advertisement

    “They sustain track of every component of trading activity on their trading floors daily,” Francisco told me. “… And they’re able to finish analysis on seven years of data.” The system too monitors systems-level data and shows if there’s enough capacity to wield major changes in trading volumes.

    To capitalize on growth markets and finish traffic with companies with lower IT infrastructure budgets, IBM is too releasing a miniature version of the PureApplication system for quickly deploying applications.

    Also original is a PureFlex converged system — with compute, networking and storage bar nonexistent in one — targeting managed service providers. The system precludes setup and system administration, which can prick costs. It too simplifies the process of adding capacity on infrastucture in the data center, Francisco said.

    IBM arrived to the converged-hardware party well after Oracle (s orcl) unveiled its Exadata Database Machine, a database appliance and several specialized boxes, including the spacious Data Appliance. (Updated: IBM disputes this, claiming it was working on data warehouse appliances back in 2003.) EMC(s emc) is too in this market with the Greenplum Data Computing Appliance.

    In October, following the introduction of the PureData line, my colleague Stacey Higginbotham questioned whether spacious data needs a specialized box. The real development, she wrote, was not the technological achievement but the acknowledgment that providing easy-to-use services is important.

    This narrative was updated Tuesday after IBM objected to a suggestion that Oracle had beaten it to market with converged hardware, citing work in 2004 on data-warehouse appliances.


    Typical Usages of Appliances | killexams.com real questions and Pass4sure dumps

    This chapter is from the book 

    While the appliances are quite versatile and can thus be used to solve many different types of problems (and implementers gain been quite creative in this regard), they find there are a few common expend cases that are typical. These generally focus around security, performance, cost savings, and integration. In the following sections, they argue each of these in more detail.

    Solving Security Problems

    Let’s contemplate about what it would consume to deploy a software-based proxy product in the DMZ. Each of the layers of the ‘typical server’ shown in figure 1-2 requires specialized skills to install and maintain. Particularly for DMZ deployments, the server hardware itself must be hardened. In highly secure environments, this can involve removing any components that might allow information to be taken from the server, such as USB ports and writeable CD/DVD drives. The operating system must too be hardened, removing components such as telnet and sendmail.3 Often, this results in other layers of the software stack not installing or operating properly! If you are successful in installing the application software stack, it must be hardened as well. These are common requirements for elevated security environments such as pecuniary companies, intelligence services, and military applications.

    Although software-based DMZ components can be hardened successfully, it is a lot of work. Compare this with the simplicity of installing a dedicated, highly secure hardware appliance, purpose built to finish a few things well with fairly simple administrative interfaces, as shown in figure 1-3.

    The appliances are hardened out of the box. For example:

  • They are designed with security in mind from the ground up, before anything else.
  • They are shipped secure by default; virtually every feature is disabled, including the network adapters and administrative interfaces (except for the serial port used to finish initial bootstrap). If you want something, you must turn it on!
  • They gain an encrypted file system.
  • They gain no Java, print services, or shareable file system.
  • They are tamper-proof—backing out the screws on the case disables the appliance.
  • They gain specialized secure handling of crypto keys and certificates.
  • They gain an embedded operating system, not supine to known exposures of common OSs.
  • They reject messages by default, unless specifically accepted by configured policies.
  • The age-old rule for the DMZ is to terminate client connections there and then proxy connections to the backend from the trusted DMZ servers. However, in the domain they find even more stringent security policies that finish not warrant any traffic (even proxied through these secure intermediaries) to the backend until the client is authenticated and authorized. This is referred to as perimeter security and is an increasingly common requirement, driving sales of DMZ security products such as TAM. Later, they bespeak how DataPower appliances can too solve this problem.

    Another requirement for DMZ components is to virtualize or cover the implementation details of backend servers and applications. Typical DMZ products interact only with the protocol layer of the network stack, so they can cover things like hostname/IP, ports, and URIs, whereas XML-centric application proxies such as DataPower appliances can virtualize on a much more brilliant basis and can analyze the entire message stream.

    A strong understanding for using these types of appliances is the burgeoning risk of systems becoming compromised by XML-based threats. Just as once upon a time they felt HTTP to be innocuous, today they are susceptible to underestimating what can be done by virtue of XML. In Chapter 20 “XML Threats,” they bespeak how entire infrastructures can be brought down using small, simple, well-formed XML files. Only hardware appliances gain the processing power to check for the many variations of XML threats.

    Another common security problem is a mismatch in the specification levels or credential formats of various technologies across large corporate IT infrastructures. For example, reckon a marketing IT silo running on Microsoft®.NET using WS-Security 1.0 and SPNEGO credentials for identity and a manufacturing silo using IBM WebSphere Application Server (WAS), WS-Security 1.1, and LTPA credentials for identity. In today’s ESB-driven SOA architectures, a single transaction may gain to pass through both environments, so this presents challenges. Because DataPower appliances incorporate a wide range of the latest specification implementations and credential formats, they can be used to transform messages and credentials to fitting the target each step of the way. Notice that this can be used to achieve cross-platform single-signon (SSO), although that too depends on other factors such as having a common registry.

    To Lower Total Cost of Ownership (TCO)

    Refer back to the scenario in figure 1-2, where there are numerous skills required to install and maintain a typical server and software stack. Now contemplate of this in terms of the staff required and cost to the organization. With self-contained appliances where the operating system and file system characteristics are extraneous from an administrative perspective, this becomes much less work. The function of the appliances is dedicated and streamlined, hence the administrative tasks and interfaces tend to be as well. For example, in the scenario in figure 1-2, you gain to continually install fixes and updates at every layer of the stack. However, for appliances, you typically finish this by uploading a small firmware update and rebooting, which takes only minutes. In the server scenario, you gain multiple different administrative consoles to manage the layers of the stack; with the appliances, you gain only one console.

    The TCO return does not solely manifest itself in the setup and administration of the platform. reckon the silo sample in the prior section—where various areas of a corporate IT infrastructure are running Web services across different platforms, such as those from IBM, Microsoft, and BEA. If the corporation has one set of policies for security and SLM that necessity to be implemented across bar nonexistent these platforms, then it must be done multiple times, by multiple people, with skills on each platform. Not only is the configuration redundant and therefore expensive, but this problem is repeated each time it needs to change, and there is always the risk that the policy will not be implemented exactly the identical on each platform, which can lead to security holes or application failures. This is depicted in figure 1-4.

    Figure 1-4

    Figure 1-4 Redundant administration versus simplified appliance model.

    A more concrete sample can be implemented by creating a single service that acts as a Web service proxy on the DataPower appliance, importing the WSDL files for the Web services providers on each of those backend platforms, and then applying the security and SLM policies on the proxy, thereby gaining policy definition and enforcement one time for bar nonexistent platforms. bar nonexistent this is based on standards that they argue later, not only Web services itself, but too the accompanying standards such as WS-Security for security, WS-Policy for policy definition, WS-Addressing for endpoint resolution, and WS-Management and WSDM4 for management.

    Enhancing Performance

    XML is the foundation on which many modern architectures are built—it has evolved into SOAP for Web services and is establish across the breadth and depth of the SOA stack and related specifications. Over time, it has evolved from a simple markup language to something quite involved and sophisticated. Of course, the problem as far as performance is concerned is that XML is fairly smooth for humans to read, but not for computers. It is a verbose representation of data and typically requires significant resources in terms of CPU power and reminiscence to process. This overhead is typically establish in parsing the XML document into an in-memory representation and in validating the XML against its schema file.5

    Consider the impact of parsing and validating the storm of XML/SOAP documents that hit your systems during peak production levels. Now reckon the overhead of security that may be embedded in those messages—validating client identities against LDAP servers, verifying digital signatures, and decrypting encrypted data. This requires a tremendous amount of processing power and time and robs precious cycles away from what your backend systems should really be doing—focusing on transactional traffic logic! too reckon the absolute waste of expending these cycles for messages that arrive in badly formed, with schema violations or illegitimate security issues. The cycles expended on processing them and handling the errors are wasted. figure 1-5 shows a graph demonstrating the CPU overhead of various common tasks. (Notice the parsing level is low here—the main hit when parsing is reminiscence utilization.) Notice the impact of security operations. This can be helped not much with hardware-assisted acceleration, but the cost-benefit of hardware acceleration boards is often debated. too note that abusing these security features to consume CPU resources is one way of mounting attacks.

    A majestic solution for this, of course, is to expend appliances to finish bar nonexistent that cumbersome lifting at near wire speed. As you will behold when they argue the appliance characteristics, they are amazingly lickety-split and can wield these tasks at orders of magnitude faster than software-based solutions running on standard servers. Now focus on another scenario—one where the appliance makes sure that only immaculate traffic gets to the backend systems. Imagine the huge differential in available processing power on the backend if the validation and security tasks are done by the time the traffic gets there. The appliances can validate schemas, verify signatures, decrypt the data, and more. This can often result in huge performance returns, depending on considerations such as message sizes, cipher strengths, network latency, and so forth.

    Speaking of message sizes, this is often another major stumbling obscure for Java-based software systems processing XML. In modern day real-world systems, they are now seeing huge SOAP messages on the order of hundreds of megabytes or even gigabytes in size. The conundrum is how to process these, given constraints on maximum JVM bank sizes in many platforms. Due to aggressive built-in streaming and compression, appliances can wield messages larger than their actual reminiscence space.

    On another message-related topic, reckon applications that finish XML transformation between differing schemas; for example, an application that consumes XML purchase orders and must understand a variety of incoming purchase order formats from traffic partners, and then transforms each into the one “golden” purchase order schema that this company uses. These transformations can be quite expensive to process (see figure 1-5) and result in bloated application code. They bar nonexistent know that line-for-line, application code is expensive in terms of programmer time, testing, and debugging. Now reckon the consequence on the application if the transformations were moved out to the appliance on the frontend so that the backend application now gets only the one “golden” schema format. Yes, their application has gone on quite a diet, is less expensive to maintain, and is much faster. One domain scenario consisted of a frontend cluster of Java EE applications to finish such transformations to sustain the cluster of traffic logic applications behind it lightweight. However, since this was running on a platform that charged for CPU time, and given the overhead of XML transformations shown in figure 1-5, it was expensive. The solution was to whisk the transformation layer out to DataPower appliances. The result was a huge cost savings and orders of magnitude faster processing.

    Integrating Platforms

    In the previous section, they discussed a scenario in which the appliance could be used to bridge differences in standards specifications (WS-Security v1.0 versus. v1.1) and identity credentials (SPNEGO versus LTPA) across systems. This is one suited sample of easily integrating disparate platforms, particularly when the standards and specifications are in flux. It is difficult for software-based solutions running on standard servers and products to sustain up with this. On the appliance, you load a firmware update to acquire the latest and greatest.

    However, there are other issues that arise when integrating different platforms. reckon a scenario in which a medium-sized traffic XYZ Corp has its infrastructure running on legacy platforms and technologies, perhaps mainframe-based EDI. The traffic partners that they depend on gain long since moved their platforms to Web services and are telling impecunious XYZ Corp that they can no longer afford to support XYZ’s legacy interface to that system, and they must provide a modern SOA or Web services interface or lose the business. This puts XYZ in a unpleasant position; what will it cost to retrain its programmers, rewrite its COBOL applications, and revamp the backends to its Java EE platforms? Likely, it would be a staggering amount! A common solution to this problem is to residence appliances at the front of the network as proxies, cook up a WSDL file to characterize some Web services, commence receiving the ASCII SOAP messages from the now-happy traffic partners, and transmute them on-the-fly to EBCDIC EDI or COBOL Copybook messages and transmit them over MQ or IMS Connect to the legacy backend. The backend does not gain to change, and no programs gain to be rewritten—a win-win!

    Due to the variety of protocols (HTTP(S), FTP, MQ, JMS/JFAP, IMS, NFS, TIBCO, MQ, ODBC, SNMP, and so on) supported by the DataPower appliances, there is a wealth of chance for protocol bridging, content enrichment, and integration between platforms. Notice that the previous scenario involved message transformation. The XI50 DataPower appliance can wield either XML-to-XML or non-XML transformation scenarios, meaning that messages can be transformed to the commandeer format for any intended backend.

    Another common and age-old scenario related to integrating platforms is dynamic routing. Because it is often a requirement to compose dynamic routing decisions “on the edge of the network,” they gain DMZ Web servers, proxies, and load balancers wield this. The problem is that they can understand only the protocol and not the payload of the message. To accomplish the goal, applications residence some value in the protocol header to facilitate the content-based routing. As an example, if they want any purchase orders over one million dollars to be routed to high-priority servers, the sending application would residence a cookie or assign in an HTTP header or URL parameter. The Web server, proxy. or load balancer in the DMZ would be configured to check for this and then route the traffic accordingly. The problem with this scenario is that you gain to set this hack in the applications and the HTTP payload, potentially disclose message data to attackers, and involve the sender/client. This solution doesn’t scale because if you continually finish this, the HTTP header and application code bloat.

    Because SOA appliances are XML-savvy and can expend technologies such as XPath, they can check inside the message payload to survey for the actual <po_value> component rather than alter the application and HTTP header. If the message is encrypted, you don’t necessity to expose this by externalizing the data; you can just decrypt the message and check the value, and then route accordingly. The client in this case does not gain to be complicit—the routing is truly dynamic and transparent. The XML alert Network layer is shown in figure 1-6.

    One eventual vital feature in admiration to the integration narrative is the expend of appliances as ESBs. The appliances fulfill the model of an ESB by virtue of their strong routing, transformation, mediation, and protocol-switching capabilities. IBM has other ESB products capable of implementing the ESB pattern—WebSphere Message Broker (WMB) and WebSphere Enterprise Service Bus (WESB). Each of these gain unique capabilities that may suit them for particular usages. Although DataPower may be thought of as a highly secure and performant ESB, the others gain features that DataPower does not gain in the arenas of transactionality, persistent message handling, and the capability to work in other programming languages. They argue ESBs in Chapter 5, “Common DataPower Deployment Patterns,” and Chapter 9, “Multi-Protocol Gateway.”



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