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

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

Test Code : A2010-023
Test denomination : Assessment: IBM Tivoli support Provider Tools and Processes
Vendor denomination : 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 faculty 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 status clients can self-buy and self-administer (in a private and comfy method) validated abilities and behavioral faculty assessments throughout a big purview 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 complete 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 faculty assessments - and that typical keyword search presents confined consequences - they anticipated that clients may moreover 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 scholarship assessment, TAPbot may moreover recommend inescapable behavioral assessments, to enrich their competencies. These connected but distinctive assessments might possibly be ones their consumer didn't firstly accept as hearty 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 protest 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, advance 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 faculty assessments used to identify, frame, validate, measure, expose and substantiate the apt and talent of capabilities and present employees. Talevation helps people and companies of All sizes, cop the guesswork out of their faculty decisions: from hiring the birthright individuals, to career development, and worker engagement. Talevation supports four,000+ enterprise locations, which at the very time administer over 1000000 individual capabilities and behavioral checks, per thirty days.

For suggestions about tap and Talevation, seek counsel 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 upshot found, are trying recent 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

information

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 promise 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 fragment 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 recent services to aid customers keep in compel SANs and different storage options. These consist of industry Storage assessment, Planning and Design services, Implementation capabilities, and support functions

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

    the recent 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 ameliorate to the recent 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 adage recent 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 publish Tivoli LAN-free SAN management utility, enabling assistance to be shared across diverse application courses, servers and storage devices.

    IBM moreover 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 moreover 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 appraise that by using 2002, SANs may be used by pass of 70 % of All 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 fragment of your industry continuity process | killexams.com true questions and Pass4sure dumps

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

    Modern mainframes, fancy the IBM zEnterprise EC12, host cloud computing, transactional data processing and huge data analytics. But many mainframe shops noiseless handle their industry continuity (BC) plans fancy 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 industry continuity method helps businesses recognize potential disasters, cop necessary steps to prepare for them, and profile a scheme to regain 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 obedient industry continuity process recognizes the risks, identifies what needs to be protected (such as data or entire systems), determines the current flush of protection and how that differs from the needed protection, and takes the steps to mitigate risks or close the protection gap.

    The very basic principles of the industry 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, proceed to the cloud, update legacy applications to x86 platforms or cop a different approach.

    It's All about the apps

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

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

    Mainframes are substantially different than x86 servers. Mainframe applications are based on languages fancy COBOL with long trails of development. There may not be an light target restore platform for industry 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 industry or regulatory breaches from an outage. account 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 flush of security and attention without the capital investment in a recent mainframe on-site in the DR facility.

    Redesigning mainframe workloads to spend x86 servers can be difficult, but is a viable option for BC. The application is converted to avoid on Unix, Linux or Windows and re-constructed for distributed server architectures. reverse engineering tools help, but hope to Do grave software progress for refinements, optimizations and bug fixes. Mainframe data stores must moreover transmogrify 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 complicated endeavor; it's more than just performing and verifying censorious backups.

    Mainframes typically host censorious applications that need more planning than unconcerned to ameliorate redundancy and minimize disruptions. Mainframe users, or their industry partners and customers, frequently Fall under regulatory compliance requirements. Regulations impose obligations in data storage, processing and security, and accomplish demands on ways the industry operates or protects itself.

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

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

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

    Good BC plans cannot be static. All 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 heart may be located on a flood plain, but the risk wasn't grave until a frailty occurred in a nearby levy. Even with regular attention, the BC method must be realistic and cannot accommodate every practicable situation cost-effectively.


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

    As the risk function’s influence continues to grow within fiscal services firms, demand for character integrated risk data to support a wider purview of business-critical decisions is stretching the capabilities of existing technology to breaking point. A recent 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 crisis period, but two areas continue to see 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. recent risk measures, capital charges and margin requirements – to suppose 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 effectual deployment of recent analytics. There is unfinished industry to address.

    Ten years on, the humor has changed, and recent strategic opportunities are there for the taking – a product of the equable ascend 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 worry to extract recent value. Likewise, no longer consigned to quantitative users, risk professionals – and risk data and analytics – now drive how fiscal 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 – need to be able to perform complicated analyses that span these notoriously messy datasets and analytic silos. 

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

    That has raised expectations of risk datasets, and aggregation and analysis tools, as institutions propel recent investment strategies and products, study more efficient allocation of activities (and cost) among industry 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 recent 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 fragment of IBM Watson fiscal 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 rep there, developing the birthright 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 huge 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 concurrent analytics’ recent requirements. Several reasons interpret 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 limit the types of analysis that can be performed. 

    Next, industry processes, hierarchy and progress practices moreover vary significantly between key enterprise functions, and even among trading desks – which can trammel a more widespread, collaborative approach to analysis. 

    And third, many are keen to bring machine learning or other advanced synthetic 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 propel 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 hearty 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 complicated aggregations or ‘what-if’ analyses “within 10 or 20 seconds, not two hours”, says Chirlian. It must moreover be light to integrate, pulling data from existing data stores and spanning those sources, whether on-premise or – increasingly – in the cloud. 

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

    Expanding what-ifs

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

    This recent 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 recent regulatory conditions, is complicated 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 proceed well beyond a vendor-prescribed set of spend cases”, Chirlian says. “Narrowly squeezing analytic paths into a multidimensional online analytical processing cube won’t suit. You need a mechanism that goes beyond the traditional sense of aggregation. Whether regulatory requirements such as FRTB and International fiscal Reporting gauge 17, or management reporting, risk teams always launch by asking ‘How Do I interpret these results, either internally or to a regulator?’“

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

    About IBM Watson fiscal Services

    IBM is working with organisations across the fiscal services industry to spend IBM Cloud, cognitive, huge data, regulatory and blockchain technology to address their industry challenges. Watson fiscal Services merges the cognitive capabilities of Watson and the expertise of Promontory fiscal Group to aid risk and compliance professionals accomplish better informed decisions to manage risk and compliance processes. These processes purview 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 fiscal risk and regulatory compliance solutions, and supervene @IBMFintech on Twitter  


    Unisys Delivers perpendicular 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 progress and delivery of integrated eligibility solutions for status health and human services programs. Also, Unisys will incorporate IBM software platforms and tools into Unisys-integrated industry solutions for companies in the insurance industry, as well as identity access and management (IAM) solutions that aid enterprises in a broad purview of industries manage security for censorious industry information.

    These recent solutions are among the first developed under an expansion of the long-term relationship between IBM Software and Unisys. This includes a recent global license agreement for Unisys to add the IBM Rational Software progress Platform to the foundation of the Unisys 3D Visible Enterprise (3D-VE) strategy, integrate IBM WebSphere industry 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 see the links among industry strategy, processes and IT requirements throughout the entire enterprise and gain unprecedented visibility into the impacts and costs of strategic decisions at All levels even before making them.

    "Through its 3D-VE strategy, Unisys is among the first systems integrators to extend the complete suite of IBM Rational, WebSphere and Tivoli platforms and tools to apply visual modeling to industry 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 perpendicular industries."

    The expanded relationship with IBM Software builds upon Unisys newly announced method to deliver solutions for secure industry 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 see tremendous opportunities to leverage the strong alignment and compatibility of the Unisys 3D-VE and IBM service-oriented architecture strategies to aid companies achieve more flexible, agile, efficient and secure industry and IT operations," said Frederick Dillman, chief technology officer at Unisys. "Unisys and IBM partake the very goal: helping companies gain enterprise-wide visibility to more closely align their present and future IT investments with their industry processes."

    Key initiatives for Unisys combining 3D-VE and IBM software involve 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 purview of configurations to aid organizations achieve greater IT visibility and industry process alignment. The HHS Solution architecture consists of a comprehensive reference application, an application progress environment and a component-based reference model.

    -- 3D-VE Blueprint for Insurance. This jointly developed solution covers All 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 industry process and systems layers, along with executable code in the profile of indigenous J2EE components for deployment in IBM Rational and WebSphere environments. The IBM WebSphere platform allows insurance companies to deploy a flexible application architecture while retaining their mainframe and database infrastructure.

    -- Identity and Access Management (IAM) Solutions. edifice 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 faculty 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 aid their clients achieve secure industry operations. They build more secure organizations by creating visibility into clients' industry 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

    http://www.unisys.com/about__unisys/news_a_events/11028588.htm

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



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