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C2030-102 - IBM Big Data Architect - Dump Information

Vendor : IBM
Exam Code : C2030-102
Exam Name : IBM Big Data Architect
Questions and Answers : 55 Q & A
Updated On : December 14, 2018
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C2030-102 Questions and Answers

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C2030-102 IBM Big Data Architect

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C2030-102 exam Dumps Source : IBM Big Data Architect

Test Code : C2030-102
Test Name : IBM Big Data Architect
Vendor Name : IBM
Q&A : 55 Real Questions

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IBM IBM Big Data Architect

Q&A: IBM Flash Storage techniques CTO Andy partitions | killexams.com Real Questions and Pass4sure dumps

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DESY and IBM boost huge records architecture for science | killexams.com Real Questions and Pass4sure dumps

X-ray scan of biological cells. credit score: Britta Weinhausen/tuition of Göttingen

IBM nowadays announced it is taking part with Deutsches Elektronen-Synchrotron (DESY), a number one country wide research middle in Germany, to velocity up management and storage of large volumes of x-ray facts. The planned huge information and Analytics architecture according to IBM software described expertise can address greater than 20 gigabyte per 2nd of statistics at peak performance and aid scientists global gain faster insights into the atomic constitution of novel semiconductors, catalysts, organic cells and other samples.

DESY's 1.7 mile-lengthy PETRA III accelerator is a brilliant microscope that accelerates electrically charged particles well-nigh to the speed of mild – approximately 186,000 miles per 2nd – and sends them through a decent magnetic slalom path to generate essentially the most spectacular x-ray radiation of its kind. This synchrotron radiation is used by greater than 2,000 scientists every year to verify the interior structure of loads of substances with atomic resolution. A key challenge during this method is storing and dealing with massive volumes of X-ray records. .

"a standard detector generates an information flow of about 5 Gigabit per 2d, which is about the data extent of one finished CD-ROM per 2d," mentioned Dr. Volker Gülzow, head of DESY IT. "And at PETRA III we will not have just one detector, however 14 beamlines outfitted with many detectors, and they are presently being extended to 24. All this massive statistics need to be saved and handled reliably."

IBM software defined Storage technology code identify Elastic Storage allows for DESY to employ to store and tackle the large information flowing from PETRA III each 2nd. credit score: DESY

DESY is addressing this big data challenge with the help of IBM analysis and IBM application defined Storage technology code identify Elastic Storage that may scale effortlessly to save and handle more than 20 Gigabyte of facts flowing every 2nd from PETRA III. Elastic Storage can supply scientists with high-speed entry to increasing volumes of analysis information. This architecture will permit DESY to advance an open ecosystem for analysis and present analysis-as-a-provider and cloud solutions to its clients global.

"IBM's application defined storage applied sciences can give DESY the scalability, pace and agility it requires to morph into a real-time analytics carrier company." observed Jamie Thomas, accepted manager Storage and application described programs, IBM. "IBM can take the adventure received at DESY and transfer it to other fields of facts intensive science akin to astronomy, local weather research and geophysics and design storage architectures for the evaluation of data generated by dispensed detectors and sensors."

The scalability of the equipment can help DESY and a few foreign partners which are at present constructing the X-ray laser European XFEL, a research gentle source a good way to generate even more statistics. "We predict about one hundred Petabyte per year from the eu XFEL," pointed out Dr. Gülzow. that is corresponding to the yearly statistics quantity produced on the world's biggest particle accelerator, the large Hadron Collider (LHC) at the research middle CERN in Geneva.

DESY is among the world's main accelerator centers and a member of the Helmholtz association. It develops, builds and operates large particle accelerators used to examine the constitution of remember. DESY is housed in Hamburg and Zeuthen in Germany and is home to 3000 scientists from over 40 nations a year.

discover additional: photo voltaic mobile degradation observed without delay for the first time


IBM ambitions large records house with energy 8 Processors | killexams.com Real Questions and Pass4sure dumps

IBM's 4Q and FY14 income: Transition Has Yet to Yield respectable outcomes (part 6 of 17)

(endured from half 5)

energy 8 gives 20% more desirable cost efficiency than its predecessor

In August 2013, IBM (IBM) unveiled its energy 8 household of processors. Reflecting the altering IT atmosphere against the cloud, IBM’s vigor eight programs have been designed to get large facts insights and hybrid cloud deployment.

The entertaining point that accompanied the launch of power eight processors was the enterprise’s announcement that other agencies can freely license the vigour architecture to supply processors and hardware in accordance with IBM’s design. In October 2014, IBM launched its first servers in response to its new energy 8 CPU architecture. IBM claimed that its energy 8-primarily based methods deliver 20% enhanced cost performance than x86-based methods.

To profit different exposure to IBM, you can make investments within the expertise SPDR (XLK). XLK invests 3.fifty one% of its holdings in IBM. in accordance with a study through community World, security, cloud computing, and mobile gadgets had been discovered to be the top three initiatives that IT executives plan to have their companies focus on in the next 12 months. As we've viewed during this series, IBM continues to focus on these increase areas, both through investments as well as partnerships with its peers.

OpenPOWER know-how is gaining acceptance

all started in 2013, OpenPOWER groundwork is a know-how initiative that became began through Google (GOOG), IBM, NVIDIA (NVDA), Mellanox (MLNX), and Tyan. Now, it's backed by using 111 groups with a presence in 22 nations. In fiscal year 2014, IBM introduced that it signed a contract worth $350 million from the us department of power. As a part of the contract, IBM would create supercomputers based on OpenPOWER know-how. Suzhou PowerCore additionally signed a contend with IBM to make use of its power structure to be used in large information and cloud computing applications in China.

proceed to part 7

Browse this sequence on Market Realist:


C2030-102 IBM Big Data Architect

Study Guide Prepared by Killexams.com IBM Dumps Experts


Killexams.com C2030-102 Dumps and Real Questions

100% Real Questions - Exam Pass Guarantee with High Marks - Just Memorize the Answers



C2030-102 exam Dumps Source : IBM Big Data Architect

Test Code : C2030-102
Test Name : IBM Big Data Architect
Vendor Name : IBM
Q&A : 55 Real Questions

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[OPTIONAL-CONTENTS-3]

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Hortonworks, IBM, Red Hat release Open Hybrid Architecture Initiative to help boost containerized big data workloads for hybrid architectures | killexams.com real questions and Pass4sure dumps

Hortonworks, IBM and Red Hat announced on Monday an Open Hybrid Architecture Initiative, a new collaborative effort the companies can use to build a common enterprise deployment model that is designed to enable big data workloads to run in a hybrid manner across on-premises, multi-cloud and edge architectures.

As the initial phase of the initiative, the companies plan to work together to optimize Hortonworks Data Platform, Hortonworks DataFlow, Hortonworks DataPlane and IBM Cloud Private for Data for use on RedHat OpenShift, an enterprise container and Kubernetes application platform. This allows users to develop and deploy containerized big data workloads, making it easier for customers to manage data applications across hybrid cloud deployments. In addition, IBM and Hortonworks will extend their joint work to integrate key services offered through Hortonworks DataPlane with IBM Cloud Private for Data.

The initiative includes Hortonworks plans to certify Hortonworks Data Platform, Hortonworks DataFlow and Hortonworks DataPlane as Red Hat Certified Containers on Red Hat OpenShift and looks forward to achieving “Primed” designation.

In addition, Hortonworks will enhance HDP to adopt a cloud-native architecture for on-premises deployments by separating compute and storage and containerizing all Hortonworks Data Platform and Hortonworks DataFlow workloads. This allows customers to more easily adopt a hybrid architecture for big data applications and analytics, all with the common and trusted security features, data governance and operations that enterprises require.

IBM, which announced plans earlier this year to extend IBM Cloud Private platform and middleware to the OpenShift platform, has begun the Red Hat OpenShift certification process for IBM Cloud Private for Data, and has achieved “Primed” designation as the first phase.

The move will help provide the vast OpenShift community of developers and users – which include IBM and Hortonworks clients – fast access to robust analytics, data science, machine learning, data management and governance capabilities, fully supported across hybrid clouds.

Enterprises are undergoing massive business model transformations, powered by the ability to process and analyze new types and tremendous amounts of data. As a result, many are moving to hybrid cloud environments that leverage lightweight microservices in the most efficient manner possible.

Hortonworks and IBM previously announced a collaboration to help businesses accelerate data-driven decision-making. Today’s news builds upon that foundation with the intent to bring big data workloads to a modern and container-based foundation, enabling customers to deploy Hortonworks and IBM platforms into a hybrid cloud environment powered by Red Hat OpenShift.

“Kubernetes is the de facto container orchestration system and we have been working in this ecosystem since the project’s infancy to help make it ready for all, and especially the enterprise in Red Hat OpenShift. Today we are thrilled that Hortonworks and IBM Cloud Private’s data portfolio have selected Red Hat OpenShift as the trusted Kubernetes platform for big data workloads,” said Ashesh Badani, vice president and general manager, Cloud Platforms, Red Hat. “By building and managing their applications via containers and Kubernetes with OpenShift, customers and the big data ecosystem have opportunities to bring this next generation of big data workloads to the hybrid cloud and deliver the benefits of an agile, efficient, reliable, multi-cloud infrastructure.”

“The work that Red Hat, IBM and Hortonworks are doing to modernize enterprise big data workloads via containerization is aimed at helping customers to take advantage of the agility, economics and scale of a hybrid data architecture,” said Rob Bearden, chief executive officer of Hortonworks. “The innovations resulting from this collaboration can enable the seamless and trusted hybrid deployment model needed today by enterprises that are undergoing significant business model transformation.”

In addition to competitive and data challenges, organizations are also scrambling to bring applications once designed for public cloud behind the firewall for greater control, lower costs, greater security and easier management. In fact, in a recent IDC Cloud and AI Adoption Survey[1], more than 80 percent of respondents said they plan to move or repatriate data and workloads from public cloud environments behind the firewall to hosted private clouds or on-premises locations over the next year, because the initial expectations of a single public cloud provider were not realized.

“As these dynamics continue, they’ll work to slow innovation and hinder companies’ progression to enterprise AI,” said Rob Thomas, general manager, IBM Analytics. “Scaling the ladder to AI demands robust data prep, analytics, data science and governance, all of which are easily scaled and streamlined in the kind of containerized, Kubernetes-orchestrated environments that we’re talking about today.”


Hortonworks, IBM, Red Hat Collaborate to Help Accelerate Containerized Big Data Workloads for Hybrid Architectures | killexams.com real questions and Pass4sure dumps

Hortonworks Data Platform, Hortonworks DataFlow, Hortonworks DataPlane and IBM Cloud Private for Data bring comprehensive enterprise data platforms to Red Hat OpenShift

NEW YORK, Sept. 10, 2018 /PRNewswire/ -- Strata Data Conference - Hortonworks (HDP), IBM (IBM) and RedHat (RHT) today announced an Open Hybrid Architecture Initiative, a new collaborative effort the companies can use to build a common enterprise deployment model that is designed to enable big data workloads to run in a hybrid manner across on-premises, multi-cloud and edge architectures.

Hortonworks logo. (PRNewsFoto/Hortonworks)

More

As the initial phase of the initiative, the companies plan to work together to optimize Hortonworks Data Platform, Hortonworks DataFlow, Hortonworks DataPlane and IBM Cloud Private for Data for use on RedHat OpenShift, an industry-leading enterprise container and Kubernetes application platform. This can enable users to develop and deploy containerized big data workloads, ultimately making it easier for customers to manage data applications across hybrid cloud deployments. In addition, IBM and Hortonworks will extend their joint work to integrate key services offered through Hortonworks DataPlane with IBM Cloud Private for Data.

Enterprises are undergoing massive business model transformations, powered by the ability to process and analyze new types and tremendous amounts of data. As a result, many are moving to hybrid cloud environments that leverage lightweight microservices in the most efficient manner possible.

Hortonworks and IBM previously announced a collaboration to help businesses accelerate data-driven decision-making. Today's news builds upon that foundation with the intent to bring big data workloads to a modern and container-based foundation, enabling customers to deploy Hortonworks and IBM platforms into a hybrid cloud environment powered by Red Hat OpenShift. The initiative includes the following:

  • Hortonworks plans to certify Hortonworks Data Platform, Hortonworks DataFlow and Hortonworks DataPlane as Red Hat Certified Containers on Red Hat OpenShift and looks forward to achieving "Primed" designation. In addition, Hortonworks will enhance HDP to adopt a cloud-native architecture for on-premises deployments by separating compute and storage and containerizing all Hortonworks Data Platform and Hortonworks DataFlow workloads. This allows customers to more easily adopt a hybrid architecture for big data applications and analytics, all with the common and trusted security features, data governance and operations that enterprises require.
  • IBM, which announced plans earlier this year to extend IBM Cloud Private platform and middleware to the OpenShift platform, has begun the Red Hat OpenShift certification process for IBM Cloud Private for Data, and has achieved "Primed" designation as the first phase. The move will help provide the vast OpenShift community of developers and users – which include IBM and Hortonworks clients – fast access to robust analytics, data science, machine learning, data management and governance capabilities, fully supported across hybrid clouds.
  • "Kubernetes is the de facto container orchestration system and we have been working in this ecosystem since the project's infancy to help make it ready for all, and especially the enterprise in Red Hat OpenShift. Today we are thrilled that Hortonworks and IBM Cloud Private's data portfolio have selected Red Hat OpenShift as the trusted Kubernetes platform for big data workloads," said Ashesh Badani, vice president and general manager, Cloud Platforms, Red Hat. "By building and managing their applications via containers and Kubernetes with OpenShift, customers and the big data ecosystem have opportunities to bring this next generation of big data workloads to the hybrid cloud and deliver the benefits of an agile, efficient, reliable, multi-cloud infrastructure."

    "The work that Red Hat, IBM and Hortonworks are doing to modernize enterprise big data workloads via containerization is aimed at helping customers to take advantage of the agility, economics and scale of a hybrid data architecture," said Rob Bearden, chief executive officer of Hortonworks. "The innovations resulting from this collaboration can enable the seamless and trusted hybrid deployment model needed today by enterprises that are undergoing significant business model transformation."

    In addition to competitive and data challenges, organizations are also scrambling to bring applications once designed for public cloud behind the firewall for greater control, lower costs, greater security and easier management. In fact, in a recent IDC Cloud and AI Adoption Survey[1], more than 80 percent of respondents said they plan to move or repatriate data and workloads from public cloud environments behind the firewall to hosted private clouds or on-premises locations over the next year, because the initial expectations of a single public cloud provider were not realized.

    Story Continues

    "As these dynamics continue, they'll work to slow innovation and hinder companies' progression to enterprise AI," said Rob Thomas, general manager, IBM Analytics. "Scaling the ladder to AI demands robust data prep, analytics, data science and governance, all of which are easily scaled and streamlined in the kind of containerized, Kubernetes-orchestrated environments that we're talking about today."

    About Hortonworks Hortonworks is a leading provider of enterprise-grade, global data management platforms, services and solutions that deliver actionable intelligence from any type of data for over half of the Fortune 100.  Hortonworks is committed to driving innovation in open source communities, providing unique value to enterprise customers. Along with its partners, Hortonworks provides technology, expertise and support so that enterprise customers can adopt a modern data architecture.

    Hortonworks and HDP are registered trademarks or trademarks of Hortonworks, Inc. and its subsidiaries in the United States and other jurisdictions. All other trademarks are the property of their respective owners. For more information, please visit www.hortonworks.com.

    Hortonworks' Forward-Looking Statements This press release may contain "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended.

    Forward-looking statements provide current expectations of future events based on certain assumptions and include any statement that does not directly relate to any historical or current fact.  They may include (without limitation) information regarding our expectations, goals or intentions regarding our offerings, technology, partnerships, activities, future performance, our adoption of or involvement with others' offerings, and others' adoption of or involvement with our offerings.  Forward-looking statements are subject to known and unknown risks and uncertainties and are based on potentially inaccurate assumptions that could cause actual results to differ materially from those expected or implied by the forward-looking statements. If any such risks or uncertainties materialize or if any of the assumptions prove incorrect, our results could differ materially from the results expressed or implied by the forward-looking statements we make. Information on factors that could affect our financial results and the forward-looking statements in this press release are included in our Form 10-K filed on March 15, 2018, our Quarterly Report on Form 10-Q for the quarter ended June 30, 2018 filed on August 9, 2018, or in other filings we make with the Securities Exchange Commission from time to time, particularly under the caption Risk Factors. All forward-looking statements in this press release are made as of the date hereof, based on information available to us as of the date hereof, and we undertake no obligation, and do not intend, to update these forward-looking statements. 

    About IBM  For more about IBM Analytics visit www.ibm.com/analytics.

    About Red Hat, Inc. Red Hat is the world's leading provider of open source software solutions, using a community-powered approach to provide reliable and high-performing cloud, Linux, middleware, storage and virtualization technologies. Red Hat also offers award-winning support, training, and consulting services. As a connective hub in a global network of enterprises, partners, and open source communities, Red Hat helps create relevant, innovative technologies that liberate resources for growth and prepare customers for the future of IT. Learn more at http://www.redhat.com.

    Red Hat's Forward-Looking Statements Certain statements contained in this press release may constitute "forward-looking statements" within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements provide current expectations of future events based on certain assumptions and include any statement that does not directly relate to any historical or current fact. Actual results may differ materially from those indicated by such forward-looking statements as a result of various important factors, including: risks related to the ability of Red Hat to compete effectively; the ability to deliver and stimulate demand for new products and technological innovations on a timely basis; delays or reductions in information technology spending; the integration of acquisitions and the ability to market successfully acquired technologies and products; risks related to errors or defects in Red Hat offerings and third-party products upon which Red Hat offerings depend; risks related to the security of Red Hat offerings and other data security vulnerabilities; fluctuations in exchange rates; the effects of industry consolidation; uncertainty and adverse results in litigation and related settlements; the inability to adequately protect Red Hat intellectual property and the potential for infringement or breach of license claims of or relating to third party intellectual property; changes in and a dependence on key personnel; the ability to meet financial and operational challenges encountered in our international operations; and ineffective management of, and control over, Red Hat's growth and international operations, as well as other factors contained in Red Hat's most recent Quarterly Report on Form 10-Q (copies of which may be accessed through the Securities and Exchange Commission's website at http://www.sec.gov), including those found therein under the captions "Risk Factors" and "Management's Discussion and Analysis of Financial Condition and Results of Operations". In addition to these factors, actual future performance, outcomes, and results may differ materially because of more general factors including (without limitation) general industry and market conditions and growth rates, economic and political conditions, governmental and public policy changes and the impact of natural disasters such as earthquakes and floods. The forward-looking statements included in this press release represent Red Hat's views as of the date of this press release and these views could change. However, while Red Hat may elect to update these forward-looking statements at some point in the future, Red Hat specifically disclaims any obligation to do so. These forward-looking statements should not be relied upon as representing Red Hat's views as of any date subsequent to the date of this press release.

    Red Hat and OpenShift are trademarks or registered trademarks of Red Hat, Inc. or its subsidiaries in the U.S. and other countries.

    Media contact:

    Michelle Lazzar, Hortonworkscomms@hortonworks.com(408) 884-9861

    [1] IDC, Cloud Repatriation Accelerates in a Multicloud World, doc #US44185818, August 2018

     

    View original content to download multimedia:http://www.prnewswire.com/news-releases/hortonworks-ibm-red-hat-collaborate-to-help-accelerate-containerized-big-data-workloads-for-hybrid-architectures-300709451.html


    Containers key for Hortonworks alliance on big data hybrid | killexams.com real questions and Pass4sure dumps

    NEW YORK -- Hortonworks forged a deal with IBM and Red Hat to produce the Open Hybrid Architecture Initiative....

    The goal of the Hortonworks alliance is to build a common architecture for big data workloads running both on the cloud and in on-premises data centers.

    Central to the new Hortonworks alliance initiative is the use of Kubernetes-managed containers. Such container-based data schemes for the cloud increasingly appear to set the tone for big data architecture in future data centers within organizations.

    Hortonworks' deal was discussed as part of the Strata Data Conference here, where computing heavyweight Dell EMC also disclosed an agreement with data container specialist BlueData Software to present users with a reference architecture that brings cloud-style containers on premises.

    Big data infrastructure shifts

    Both deals indicate changes are afoot in infrastructure for big data. Container-based data schemes for cloud environments are starting to show the way that data will be handled in the future within organizations.

    The Hortonworks alliance hybrid initiative -- as well as Dell's and other reference architecture -- reflects changes spurred by the multitude of analytics engines now available to handle data workloads and the growing move of big data applications to the cloud, Gartner analyst Arun Chandrasekaran said in an interview.

    "Historically, big data was about coupling compute and storage together. That worked pretty well when MapReduce was the sole engine. Now, there are multiple processing engines working on the same data lake," Chandrasekaran said. "That means, in many cases, customers are thinking about decoupling compute and storage."

    De-linking computing and storage

    Essentially, modern cloud deployments separate those two elements, Chandrasekaran said. This approach is seeing greater interest in containerizing big data workloads for portability, he noted.

    We are decoupling storage and compute again. Arun Murthychief product officer and co-founder, Hortonworks

    The shifts in architecture toward container orchestration show people want to use their infrastructure more efficiently, Chandrasekaran said.

    The Hortonworks alliance with Red Hat and IBM shows a basic change is underway for the Hadoop-style open source distributed data processing framework. Cloud and on-premises architectural schemes are blending.

    "We are decoupling storage and compute again," said Arun Murthy, chief product officer and co-founder of Hortonworks, based in Santa Clara, Calif. "As a result, the architecture will be consistent whether processing is on premises or on cloud or on different clouds."

    The elastic cloud

    This style of architecture pays heed to elastic cloud methods that let users spin up big data clusters when needed for processing jobs and take them offline when they aren't.

    Strata Data Conference 2018 This week's Strata Data Conference in New York included a focus on Hortonworks' deal with IBM and Red Hat, an agreement between Dell EMC and BlueData, and more.

    "In public cloud, you don't keep the architecture up and running if you don't have to," Murthy said in an interview.

    That's compared with how Hadoop systems typically get deployed in the data center, where clusters are often configured and left in place to sit ready for high-peak workloads.

    For Lars Herrmann, general manager of the integrated solutions business unit at Red Hat, based in Raleigh, N.C., the Hortonworks alliance project is a step toward bringing in a large class of data applications to run natively on the OpenShift container platform. It's also about deploying applications more quickly.

    "The idea of containerization of applications allows organizations to be more agile. It is part of the trend we see of people adopting DevOps methods," Herrmann said.

    Supercharging on-premises applications

    For its part, Dell EMC sees spinning up data applications more quickly on premises as an important part of the reference architecture it has created with help from BlueData.

    "With the container approach, you can deploy different software on demand to different infrastructure," Kevin Gray, director of product marketing at Dell EMC, said in an interview at the Strata conference.

    The notion of multi-cloud support for containers is popular, and Hadoop management and deployment software providers are moving to support various clouds. At Strata, BlueData made its EPIC software available on Google Cloud Platform and Microsoft Azure. EPIC cloud support was already available on the AWS cloud.

    Big data evolves to singular architecture

    Tangible benefits will accrue as big data architecture evolves IT shops to a more singular environment for data processing on the cloud and in the data center, said Mike Matchett, principal consultant and founder of IT industry advisory firm Small World Big Data.

    "Platforms need to be built such that they can handle distributed work and deal with distributed data. They will be the same on premises as on the cloud. And, in most cases, they will be hybridized, so the data and the processing can flow back and forth," Matchett said in an interview at the conference.

    Some special optimizations will still be required for performance reasons, Matchett added. And IT managers will have to make decisions based on different workloads as to where particular analytics processing will be done, he said.



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    IBM C2030-102 Exam (IBM Big Data Architect) Detailed Information



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