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A2010-023 exam Dumps Source : Assessment: IBM Tivoli support Provider Tools and Processes

Test Code : A2010-023
Test appellation : Assessment: IBM Tivoli support Provider Tools and Processes
Vendor appellation : IBM
: 53 true Questions

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IBM Assessment: IBM Tivoli Support

Talevation Expands Strategic Partnership with IBM; increases Assessments choices and provides IBM Watson AI | killexams.com true Questions and Pass4sure dumps

Talevation® has expanded their capacity Assessments Platform (tap)™ to over 700 on-line skill assessments. faucet is Talevation’s cloud-based mostly, utility-as-a-provider (SaaS) digital marketplace, the Place clients can self-buy and self-administer (in a private and comfy method) validated abilities and behavioral capacity assessments throughout a large orbit of job titles, classifications and behavioral criteria. With the quantity of skill assessments now attainable, Talevation additionally extended their strategic partnership with IBM®, and has now integrated IBM Watson™ AI, to support ebook clients in determining the usurp assessments, for their wonderful situations.

This press unencumber features multimedia. View the replete release here: https://www.businesswire.com/news/domestic/20190204005850/en/

Scott Abbott, Talevation Managing associate noted, “as a result of we've such an expansive portfolio of capacity assessments - and that typical keyword search presents confined consequences - they anticipated that clients may too fill problem touchdown on the impeccable evaluation(s) or know precisely which assessments to take. In response, they developed a chatbot named TAPbot™, that utilizes IBM Watson capabilities to deliver a guided event. for instance, TAPbot might imply taking the ‘statistics mining ideas’ assessment, when the person searches for ‘synthetic intelligence’. Or for a particular knowledge assessment, TAPbot may too recommend certain behavioral assessments, to enrich their competencies. These connected but distinctive assessments might possibly be ones their consumer didn't firstly accept as true with. Such self-discovery and support, is on the coronary heart of the tap journey.”

apart from IBM Kenexa assess on Cloud™ and IBM Watson, tap leverages different items and features from the IBM Cloud™, including: Alert Notification, API connect, Assistant,Availability Monitoring, certificate supervisor, Cloudant, Cloud Foundry, Cloud functions, Cloud remonstrate Storage,continual beginning, Discovery, natural Language understanding.

brought Abbott, “faucet provides the most extensive and complete portfolio of self-provider talent assessments available in the market nowadays. And with the recent addition of tap U!, their profession features program for schools, college students and recent or quickly-to-be graduates - they are excited that tap can aid tens of millions of americans earn, foster and maintain profitable employment.”

About Talevation: Headquartered in Carmel, IN - Talevation partners with IBM and IBM’s Kenexa skill Assessments - to give over 1,000 skills and behavioral capacity assessments used to identify, frame, validate, measure, indicate and substantiate the apt and talent of capabilities and present employees. Talevation helps people and companies of entire sizes, purchase the guesswork out of their capacity decisions: from hiring the prerogative individuals, to career development, and worker engagement. Talevation supports four,000+ enterprise locations, which at the identical time administer over 1000000 individual capabilities and behavioral checks, per thirty days.

For suggestions about tap and Talevation, seek recommendation from www.talevation.com.

All enterprise and products are the registered trademarks of their respective agencies.

View supply edition on businesswire.com: https://www.businesswire.com/news/home/20190204005850/en/

source: Talevation"> <Property FormalName="PrimaryTwitterHandle" value="@scottabbottabc

Scott Abbottscott@talevation.com

Copyright enterprise Wire 2019

RadiantOne Federated identification and listing provider Featured at IBM feel | killexams.com true Questions and Pass4sure dumps

No effect found, are trying modern keyword!Radiant logic’s pioneering RadiantOne virtualization platform seamlessly integrates identities from throughout the IBM stack to modernize and extend IBM protection entry manager (ISAM) and IBM Tivoli Direc...

IBM Spends $400 Million on SAN Intiative | killexams.com true Questions and Pass4sure dumps


IBM Spends $400 Million on SAN Intiative
  • by using Scott Bekker
  • 03/28/2000
  • IBM Corp. today announced a $400 million initiative to present items, features and world and regional trying out facilities to the storage enviornment community (SAN) market.

    huge Blue claims these solutions and functions will aid purchasers control counsel and transactions efficaciously throughout increasingly advanced, multi-seller networks.

    "IBM's SAN initiative is set leveraging each division of the company to convey on the engage of SANs for their valued clientele -- interoperability between dealer methods and proper statistics sharing," pointed out Linda Sanford, universal supervisor, IBM Storage Subsystems Division in a press release.

    As a portion of the initiative, IBM (www.ibm.com) is establishing more than 50 SAN solution facilities with its company partners, SAN trying out facilities in Montpellier, France in addition to in Makuhari, Japan, and a SAN and Storage features consulting apply within IBM international features.

    IBM international features is supplying modern services to aid customers Place in coerce SANs and different storage options. These consist of commerce Storage assessment, Planning and Design services, Implementation capabilities, and support functions

    IBM will additionally present items on account of the initiative, together with modern models of the Shark commerce Storage Server, and modern fibre channel-based mostly SAN solutions.

    the modern models of its Shark commercial enterprise Storage Server feature IBM’s 64-bit RISC processor, 16 gigabytes of cache, and additional PCI buses, leading to as much as a one hundred percent raise in throughput. existing Shark purchasers can improve to the modern processor to capitalize efficiency merits. The superior Shark utility will support advanced copy capabilities and indigenous fibre channel connectivity as these points become available.

    IBM is additionally saying modern better, industry-normal, fibre channel-based mostly routers, gateways, switches and managed hubs that boost SAN connectivity in an enterprise. furthermore, IBM Magstar tape products can now connect in a SAN using the IBM SAN facts Gateway, allowing them to aid the sharing of tape drives inside a SAN.

    On April 4, IBM’s Tivoli programs Inc. (www.tivoli.com) will promulgate Tivoli LAN-free SAN management utility, enabling assistance to be shared across diverse application courses, servers and storage devices.

    IBM too delivered a SAN solution using a cluster of two Netfinity servers with fibre channel connections and Legato systems Inc. (www.legato.com) mirroring extension software. The cluster can too be separated by as plenty as 10 kilometers (6.2 miles). IBM's SAN Fibre Channel Managed Hub creates high-speed interconnections for such applications as high-availability clustering, storage consolidation, and LAN-free backup.

    industry analysts assay that by using 2002, SANs may be used by course of 70 % of entire medium and massive organizations. – Thomas Sullivan

    about the writer

    Scott Bekker is editor in chief of Redmond Channel associate magazine.

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    Assessment: IBM Tivoli support Provider Tools and Processes

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    Make the mainframe system portion of your commerce continuity process | killexams.com true questions and Pass4sure dumps

    Mainframes pose a significant challenge for commerce continuity planning. In spite of the inherent computing power and resilience core to mainframe availability, the systems can Go down, and it is difficult to create a recovery environment.

    Modern mainframes, devotion the IBM zEnterprise EC12, host cloud computing, transactional data processing and Big data analytics. But many mainframe shops noiseless handle their commerce continuity (BC) plans devotion it's 1964. Mainframe systems are sophisticated and resilient, and in spite of these characteristics -- or perhaps because of them -- many deployments are ill-prepared to address physical disasters and quickly restore operations.

    A commerce continuity diagram helps businesses recognize potential disasters, purchase necessary steps to prepare for them, and profile a scheme to retrieve and resume operations in a timely manner. BC involves the entire IT infrastructure from mainframe to conventional servers, networks, storage, workload performance and people and processes. Any first-rate commerce continuity process recognizes the risks, identifies what needs to be protected (such as data or entire systems), determines the current level of protection and how that differs from the needed protection, and takes the steps to mitigate risks or nearby the protection gap.

    The identical basic principles of the commerce continuity planning process apply to mainframe deployments, but the platform creates more challenges than x86 servers or as-a-service cloud apps. Organizations may add a second mainframe, Go to the cloud, update legacy applications to x86 platforms or purchase a different approach.

    It's entire about the apps

    Where will mainframe workloads sprint if the system is damaged or destroyed? The true "gotcha" is that a mainframe system is so powerful and trustworthy that there is nowhere else to migrate or restore captious workloads.

    A typical commerce might own hundreds or even thousands of inexpensive x86 servers -- ample occasion for system redundancy across multiple locations. By comparison, companies rarely deploy more than one mainframe, raising sober concerns for workload migration or recovery.

    Mainframes are substantially different than x86 servers. Mainframe applications are based on languages devotion COBOL with long trails of development. There may not be an light target restore platform for commerce continuity -- you can't just spin up an IBM EC12 workload on a Dell PowerEdge R920 Windows server.

    Some businesses accomplish a strategic investment in a second mainframe for a secondary facility -- this makes sense if the cost of an additional mainframe is less expensive than lost commerce or regulatory breaches from an outage. consider partnering with a third-party mainframe outsourcing provider for a backup system. This requires extensive testing and refinement to ensure that your current workloads and data stores are fully compatible with the provider's equipment, possibly requiring software revisions or updates. A mainframe provider can ensure the level of security and attention without the capital investment in a modern mainframe on-site in the DR facility.

    Redesigning mainframe workloads to utilize x86 servers can be difficult, but is a viable option for BC. The application is converted to sprint on Unix, Linux or Windows and re-constructed for distributed server architectures. reverse engineering tools help, but expect to finish sober software evolution for refinements, optimizations and bug fixes. Mainframe data stores must too transform into formats suited to the re-architected application and operating system. No matter how you approach it, transitioning an enterprise application off a mainframe system takes time and money.

    Boost mainframe BC

    Business continuity planning is an increasingly tangled endeavor; it's more than just performing and verifying captious backups.

    Mainframes typically host captious applications that necessity more planning than middling to improve redundancy and minimize disruptions. Mainframe users, or their commerce partners and customers, frequently topple under regulatory compliance requirements. Regulations impose obligations in data storage, processing and security, and accomplish demands on ways the commerce operates or protects itself.

    All of these tangled considerations can be streamlined through tools designed to organize and automate BC. For example, IBM Tivoli commerce Continuity Process Manager centralizes the continuity of computing services, helping IT administrators plan, manage and test preparedness. It too simulates issues to back staff the commerce continuity process, and measures the reaction to ensure that continuity performance meets commerce goals.

    Other tools devotion IBM's Tivoli System Automation (TSA) back businesses develop and implement automated responses to foreseeable problems, allowing for ongoing monitoring and maintenance processes. Tools devotion TSA support cross-platform applications, data storage and network devices, with workload procedures that include mainframes and other hardware.

    While experienced staff can accomplish productive utilize of these tools, plans and automated responses should be frequently reviewed and revised with a heedful consideration of changing commerce needs. Don't utilize these tools as an excuse to avoid recruiting, training or contracting with mainframe experts.

    Good BC plans cannot be static. entire BC plans should be reviewed regularly and thoroughly tested. The process should be updated periodically or as situations change. For example, your long-established data seat may be located on a flood plain, but the risk wasn't sober until a vice occurred in a nearby levy. Even with regular attention, the BC diagram must be realistic and cannot accommodate every feasible situation cost-effectively.

    Blazing modern analytical paths: Tackling data aggregation for modern risk insights | killexams.com true questions and Pass4sure dumps

    As the risk function’s influence continues to grow within financial services firms, exact for attribute integrated risk data to support a wider orbit of business-critical decisions is stretching the capabilities of existing technology to breaking point. A modern platform for agile tools is needed to enable the analysis required and unlock strategic opportunities within the business

    Financial services technology spending has ebbed and flowed over the post-financial juncture period, but two areas continue to perceive increasing investment: data and risk. Even as many of the most cumbersome regulations are now several years into implementation, and compliance budget has steadily flattened, major investment banks and asset managers continue to financially support these twin priorities. The primary reason? Deeper and wider application of risk analytics.

    The drivers are well understood. Data volumes and consumption are up; so too is the variety of its sources and structure. Many firms muddled through the early post-crisis years by simply keeping up, stitching spreadsheets and pre-packaged reporting solutions together. modern risk measures, capital charges and margin requirements – to mutter nothing of deeper reporting on enterprise-wide market and liquidity risk exposures – sometimes came and went without necessary data infrastructure upgrades or data governance frameworks to support the efficient deployment of modern analytics. There is unfinished commerce to address.

    Ten years on, the humor has changed, and modern strategic opportunities are there for the taking – a product of the constant climb of the risk function.

    Dynamic and predictive

    In an era when technological disruption is ubiquitous, firms are asking different, more subtle questions of their data in an trouble to extract modern value. Likewise, no longer consigned to quantitative users, risk professionals – and risk data and analytics – now drive how financial services firms behave, and even how they are organised.

    As a result, a broader spectrum of interrelated groups – not only risk teams, but quants, traders, sales, finance and accounting teams, software developers and reporting operations – necessity to be able to discharge tangled analyses that span these notoriously messy datasets and analytic silos. 

    Driven by boardroom support, they collectively aim to build analytical capabilities to fight a modern wave of challenges, whether margin compression among investment managers or bloated operating and regulatory costs for investment banks, and finish so in a more holistic way. 

    That has raised expectations of risk datasets, and aggregation and analysis tools, as institutions push modern investment strategies and products, study more efficient allocation of activities (and cost) among commerce units, and seek to unlock leverage faster – and more precisely – than before. Tools based on pre-aggregation will not be able to support this enhanced analysis.

    “Today, risk data must open modern analytical paths – driven by these more open-ended questions,” says Peter Chirlian, founder and chief executive of aggregation and analytics provider Armanta, acquired by IBM in 2018 and now portion of IBM Watson financial Services. “Risk is now a dynamic environment, from real-time assessment and pre-trade analysis, through to manipulating regulatory constraints and predicting the impacts from a proposed change.”

    Road to reinvention

    To fetch there, developing the prerogative technology alchemy – geared towards architectural flexibility and performance to support a greater variety of user queries – is crucial. But this remains tough to achieve. Chirlian argues the challenge is down to one core issue: that risk analysis has “historically tended to resist Big data principles” that fill caught on elsewhere, and has therefore fallen behind.

    Many firms find their risk data ecosystems – the foundation where compute power, user interface requirements, taskflow and microservices converge – are buckling under contemporaneous analytics’ modern requirements. Several reasons warrant this, he says. 

    To start, solutions that reckon on pre-aggregation noiseless rule. Risk simulations and modelling fill always been among the most computationally advanced and theoretically involved at any bank or investor, but by pre-supposing the questions that will be asked, these solutions circumscribe the types of analysis that can be performed. 

    Next, commerce processes, hierarchy and evolution practices too vary significantly between key enterprise functions, and even among trading desks – which can shackle a more widespread, collaborative approach to analysis. 

    And third, many are keen to bring machine learning or other advanced artificial intelligence applications into play, but are frustrated to find the historical data required – often sitting trapped in silos or data lakes – has governance around it designed primarily with pre-aggregation and a restricted purpose such as a specific regulatory report in mind. The organisation wants to push forward, while analytical tools remain trapped in the past.

    Therefore, today’s institutional priority – and millions in continuing investment – comes down to affecting from reporting to true analysis. Whether for highly quantitative traders and risk-takers, executive management or risk and operations officers, it amounts to a fundamental shift in paradigm for the technology underneath.

    Purpose-built grid computing and infrastructural clustering is required, capable of completing tangled aggregations or ‘what-if’ analyses “within 10 or 20 seconds, not two hours”, says Chirlian. It must too be light to integrate, pulling data from existing data stores and spanning those sources, whether on-premise or – increasingly – in the cloud. 

    “Once you atomize down those pre-aggregation barriers, you open a far wider analytic world,” he explains. “Your risk platform really needs to be self-service – supple and truly capable of computation on the fly.”

    Expanding what-ifs

    This modern perspective is too reflected in the changing contours of regulatory reporting. For example, modern modelling for the Fundamental Review of the Trading Book (FRTB) has evolved to become more business-focused. Higher-order questions such as restructuring the commerce for optimal capital treatment, or avoiding penalisation by realigning the trading desks, are now squarely in play.

    This modern reality – an ongoing, institutionalised experimentation – demands massive operational change. For instance, manipulating potential trades, and even modifying the legal entity hierarchy of the bank to understand how capital constraints might be affected under modern regulatory conditions, is tangled and compute-intensive. 

    Modelling dependencies must be managed, including tracking computational changes and parameterisation. Later in the process, additional analysis requires data lineage to understand the source systems feeding data into those outcomes. And yet many legacy risk data platforms are incapable of carrying that load, or tracking these outcomes effectively.

    It is proof that “today’s data aggregation must Go well beyond a vendor-prescribed set of utilize cases”, Chirlian says. “Narrowly squeezing analytic paths into a multidimensional online analytical processing cube won’t suit. You necessity a mechanism that goes beyond the traditional sense of aggregation. Whether regulatory requirements such as FRTB and International financial Reporting gauge 17, or management reporting, risk teams always open by asking ‘How finish I warrant these results, either internally or to a regulator?’“

    That requires an analytical platform that can drill down, organise data, and ultimately retort those fundamental questions. “Until you can finish that,” Chirlian concludes, “you may not know what direction your enquiry should go.”

    About IBM Watson financial Services

    IBM is working with organisations across the financial services industry to utilize IBM Cloud, cognitive, Big data, regulatory and blockchain technology to address their commerce challenges. Watson financial Services merges the cognitive capabilities of Watson and the expertise of Promontory financial Group to back risk and compliance professionals accomplish better informed decisions to manage risk and compliance processes. These processes orbit from regulatory change management to specific compliance processes, such as anti-money laundering, know your customer, conduct surveillance and stress testing.

    Learn more about IBM financial risk and regulatory compliance solutions, and follow @IBMFintech on Twitter  

    Unisys Delivers upright Industry Solutions Built on Unisys 3D-VE Methodology and IBM Software | killexams.com true questions and Pass4sure dumps

    LONDON--(BUSINESS WIRE)--Nov. 2, 2005--Unisys Corporation (NYSE:UIS) today announced that it is teaming with IBM in several public sector procurements for the joint evolution and delivery of integrated eligibility solutions for state health and human services programs. Also, Unisys will incorporate IBM software platforms and tools into Unisys-integrated commerce solutions for companies in the insurance industry, as well as identity access and management (IAM) solutions that back enterprises in a broad orbit of industries manage security for captious commerce information.

    These modern solutions are among the first developed under an expansion of the long-term relationship between IBM Software and Unisys. This includes a modern global license agreement for Unisys to add the IBM Rational Software evolution Platform to the foundation of the Unisys 3D Visible Enterprise (3D-VE) strategy, integrate IBM WebSphere commerce process modeling capabilities into Unisys 3D-VE solutions and employ IBM's Tivoli software for identity management, access management and federated identity management for Service Oriented Architecture solutions.

    Unisys 3D-VE strategy is designed to enable a client to perceive the links among commerce strategy, processes and IT requirements throughout the entire enterprise and gain unprecedented visibility into the impacts and costs of strategic decisions at entire levels even before making them.

    "Through its 3D-VE strategy, Unisys is among the first systems integrators to extend the replete suite of IBM Rational, WebSphere and Tivoli platforms and tools to apply visual modeling to commerce processes," said Daniel Sabbah, universal manager of IBM Rational. "We're excited to team with Unisys in delivering powerful solutions that address the specific needs of customers across a host of upright industries."

    The expanded relationship with IBM Software builds upon Unisys newly announced diagram to deliver solutions for secure commerce operations. To support this strategy, Unisys is aligning with an exclusive list of the world's leading technology providers to deliver customer solutions that harness its partners' expertise with the power of 3D-VE.

    "We perceive tremendous opportunities to leverage the stout alignment and compatibility of the Unisys 3D-VE and IBM service-oriented architecture strategies to back companies achieve more flexible, agile, efficient and secure commerce and IT operations," said Frederick Dillman, chief technology officer at Unisys. "Unisys and IBM participate the identical goal: helping companies gain enterprise-wide visibility to more closely align their present and future IT investments with their commerce processes."

    Key initiatives for Unisys combining 3D-VE and IBM software include the following:

    -- Health & Human Services (HHS) Solution. Developed with extensive input from health and human services practitioners, this solution can be deployed in a broad orbit of configurations to back organizations achieve greater IT visibility and commerce process alignment. The HHS Solution architecture consists of a comprehensive reference application, an application evolution environment and a component-based reference model.

    -- 3D-VE Blueprint for Insurance. This jointly developed solution covers entire commonly used processes for product modeling and administration of insurance policies, particularly in the life and pension and property and casualty markets. The solution consists of Unisys 3D-VE Blueprints covering requirements models at the commerce process and systems layers, along with executable code in the configuration of indigenous J2EE components for deployment in IBM Rational and WebSphere environments. The IBM WebSphere platform allows insurance companies to deploy a supple application architecture while retaining their mainframe and database infrastructure.

    -- Identity and Access Management (IAM) Solutions. pile upon the IBM Tivoli security product suite, Unisys delivers an industry-leading IAM integration methodology that helps customers apply technologies such as enterprise directory, meta-directory, single-sign-on and provisioning systems to efficiently and securely provide access to the organization's digital resources. The joint IBM and Unisys methodology provides seamless integration for addressing IAM projects, decreased time-to-deployment, faster realization of benefits and the capacity to integrate federated identity management solutions in customers' IT environments.

    About Unisys

    Unisys is a worldwide technology services and solutions company. Their consultants apply Unisys expertise in consulting, systems integration, outsourcing, infrastructure, and server technology to back their clients achieve secure commerce operations. They build more secure organizations by creating visibility into clients' commerce operations. Leveraging Unisys 3D Visible Enterprise, they accomplish visible the repercussion of their decisions--ahead of investments, opportunities and risks. For more information, visit www.unisys.com.

    RELEASE NO.: 1102/8588


    Unisys is a registered trademark of Unisys Corporation. IBM, IBM WebSphere, Rational and Tivoli are trademarks or registered trademarks of International commerce Machines Corporation. entire other brands and products referenced herein are acknowledged to be trademarks or registered trademarks of their respective holders.

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