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A2030-280 - Accessment: IBM Cloud Computing Infrastructure Architect V1 - Dump Information

Vendor : IBM
Exam Code : A2030-280
Exam Name : Accessment: IBM Cloud Computing Infrastructure Architect V1
Questions and Answers : 98 Q & A
Updated On : October 16, 2018
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A2030-280 Questions and Answers

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A2030-280 Accessment: IBM Cloud Computing Infrastructure Architect V1

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A2030-280 exam Dumps Source : Accessment: IBM Cloud Computing Infrastructure Architect V1

Test Code : A2030-280
Test Name : Accessment: IBM Cloud Computing Infrastructure Architect V1
Vendor Name : IBM
Q&A : 98 Real Questions

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IBM Accessment: IBM Cloud Computing

IBM challenges Pentagon’s $10 billion cloud computing effort days before bids are due | killexams.com Real Questions and Pass4sure dumps

Aaron Gregg

Reporter protecting defense contractors and Washington-area groups

October 10

IBM is challenging the defense department’s determination to turn to a single provider for its $10 billion departmentwide cloud computing infrastructure, a corporation govt pointed out Wednesday. The newest criminal challenge to complicate the Pentagon’s plans has come days earlier than bids are due.

An executive generic with the company’s approach confirmed Wednesday that IBM has filed a pre-award bid protest with the government Accountability office, which guidelines on bid protests.

The contract, wide-spread as the Joint business defense Infrastructure (JEDI), requires the introduction of a tremendous cloud-computing system that may permit new weapons capabilities and save labeled statistics. The JEDI cloud is expected to absorb one of the crucial Pentagon’s existing efforts and is regarded a “pathfinder” that the protection branch will construct upon for decades. Whichever business is awarded the contract will not simplest obtain billions of greenbacks in federal funding but additionally could have a robust foothold from which to compete for different opportunities.

Bids are due Friday, and Amazon web functions, Microsoft, IBM and Oracle are expected to compete for the probability. Amazon is basically regarded a front-runner for the contract because it has been the CIA’s primary cloud provider issuer for years. Google announced this week that it will no longer bid on the contract. (Amazon.com founder and chief executive Jeffrey P. Bezos owns The Washington put up.)

defense branch officers pointed out in early March that the $10 billion, 10-year contract could be bid out to a single cloud issuer.

The protection branch has made the case that the usage of multiple company would add pointless complexity.

“We’ve certainly not built an business cloud,” referred to Dana Deasy, the Pentagon chief counsel officer overseeing the method. “starting with a number of businesses while on the equal time attempting to construct out an commercial enterprise capability just conveniently did not make feel.”

Amazon executives have praised that strategy in media interviews, announcing the defense branch does not yet have the technical expertise and staff capabilities to manage a large number of providers.

IBM, Microsoft and Oracle have sharply criticized the government’s single-company tack for the past six months, asserting that turning to 1 would lock the government out of improvements occurring at other agencies and raise prices by shutting out would-be opponents.

IBM’s bid protest has now not been made purchasable through the company. however Sam Gordy, head of the company’s federal business, described features of IBM’s strategy for the protest in an interview Tuesday with The post.

The bid protest flies in the face of the government’s choice to show to a single provider for the contract, echoing a prison challenge that utility large Oracle filed in early August. but IBM took that criticism a step additional in arguing that the only-award strategy would conflict with the White apartment’s “Cloud smart” approach, which emphasizes leveraging the foremost options from govt and commercial trade.

“Given what DOD is attempting to do with this cloud — a single award, and lock-in for 10 years — [picking just one provider] is completely contrary to their objectives,” he observed. “This DOD cloud award is completely contrary to what the [Trump] administration has been asserting so far as cloud wise.”

Gordy additionally reiterated issues that the procurement could be biased in favor of Amazon. The business’s rivals are worried that Amazon has an inside track to the JEDI award on account of its earlier work with the CIA, and because the request for proposals comprises certain federal information know-how certifications that most effective Amazon is probably going to meet and which played a vital position in Google’s choice to drop out of the competitors. IBM executives say the business will have “some, but no longer all” of the necessary certifications as of the Friday due date.

“There are elements of the [JEDI request for proposals] that certainly point out a certain supplier in mind,” Gordy stated Tuesday.

The business one by one described features of its prison strategy in a draft weblog submit it's to be published on the business’s site. within the post, IBM said the Pentagon’s single-seller method for the JEDI contract would additional undermine the branch’s cybersecurity posture.

“JEDI’s single-cloud strategy also would give dangerous actors just one goal to center of attention on may still they want to undermine the armed forces’s IT spine,” the enterprise wrote in a draft shared with The post. “the area’s biggest businesses are more and more relocating in a multi-cloud course on account of safety, flexibility and resilience; the Pentagon is moving in precisely the opposite path.”

IBM executives seem to have no qualms in regards to the probability that a deluge of legal actions could hinder the contract wholly, announcing it might be more advantageous to restart the manner and switch to diverse companies.

“Getting it off the ground in case you’re doing it the wrong means doesn’t serve the nation,” Gordy observed. “more suitable to do it the correct method.”


What to search for When IBM reports Its Q3 Numbers | killexams.com Real Questions and Pass4sure dumps

[Editor’s note: A previous version of this article incorrectly stated the time of IBM’s earnings report. It has since been updated.]

This yr has been beneficial for shareholders of business technology titans like Microsoft (NASDAQ:MSFT) and Nvidia (NASDAQ:NVDA). Microsoft inventory is up 36% year-to-date, largely driven by its turning out to be cloud computing lineup, while Nvidia has won 33% on its deeper penetration of the AI hardware market. despite the fact, a couple of big tech names, including overseas company Machines (NYSE:IBM), were neglected of the party. IBM stock is down four% given that the end of remaining yr.

traders are involved that IBM remains a relic that has no region on the contemporary technology panorama. What if, although, the doubts which have been suppressing the IBM inventory fee are primarily unmerited? That may be the conclusion more than a handful of merchants attain after ol’ big Blue stories its third quarter numbers. The enterprise is slated to unveil its results on Oct. 16 after the close.

IBM revenue Preview

As of the newest examine, analysts on regular expected IBM to document Q3 revenue of $19.1 billion and salary of $three.39 per share.

IBM reported EPS of $three.26 on income of $19.15 billion within the equal quarter a year prior. but it’s also value noting that IBM’s Q1 and Q2 EPS surpassed analysts’ consensus estimates. additionally, IBM has logged 12 months-over-yr salary increase each quarter because this fall of ultimate 12 months.

With the one-yr anniversary of the turnaround in sight, although, this is the place things delivery to get challenging for IBM inventory. but when the enterprise’s results are robust,  the performance of IBM stock could having said that enrich.

Over the Hump

Most investors remember IBM quite simply wasn’t in a position for the introduction of cloud computing, cybersecurity, cellular contraptions and synthetic intelligence, all of which can be finally interdependent. Relying too tons on the power of its typical server and connected programs company and failing to innovate a lot until recent years, IBM noticed its proper-line boom deteriorate in 2012.

however there aren't any short fixes within the technology sector. if you’re no longer constantly innovating, you’re already at the back of. That’s why IBM’s income didn’t birth to recuperate except the conclusion of 2017.

huge Blue’s revenue increase, besides the fact that children, has recovered, on the electricity of what the business has (uncreatively) known as ‘“strategic imperatives.” The latter term refers to crucial business traces that weren’t an integral part of IBM’s lineup until currently. The imperatives are cloud computing, massive records, safety utility, analytics, cell, and social technologies.

the key for IBM inventory may be becoming its salary from its strategic imperatives faster than the enterprise has been dropping ground on each different entrance.

That eventually took place in the fourth quarter of last year, when IBM’s quarterly properly line rose for the first time in years. when you consider that then, the business has continued to deliver 12 months-over-yr income increase, although the modest stage of those increases has persevered to weigh on IBM stock. in the 2nd quarter, for example, the company’s revenue rose just four% y-o-y.

but something else curious also took place all through Q2. For the first time ever, big Blue’s strategic imperatives accounted for more than half of its $20.0 billion of total income. It’s additionally critical to notice that the profits generated via the company’s indispensable companies surged 26% y-o-y.

So IBM’s quickest-growing to be organizations now generate the majority of its revenue, making it possible for the business’s income increase to accelerate.

The  valuation of IBM stock is already favorable, with a forward-searching expense-income ratio of most effective 10.5 that leaves loads of room for upside.

bottom line for IBM inventory

If IBM’s earnings increase does accelerate, IBM stock may birth trending upwards again.That’s, of route,  still a large “if.” indeed, it’s a massive “if.” but it’s one worth allowing for, now not simply on the evening of Oct. 16, however for the indefinite future.

As cliche because it sounds, the Q3 performance of IBM’s strategic imperatives is usually a make-or-smash second for IBM stock, as those products and services were round for just a few quarters now. growing those organizations correct out of the gate is effortless. generating endured increase isn’t so handy.

Given the uncertainty surrounding the question of whether IBM’s income growth will accelerate, it might possibly be clever to prevent retaining IBM inventory when the business stories its Q3 results. in the wake of the consequences, the circulation of IBM inventory, up or down, is sure to be large. but the knee-jerk response will faded in size to the skills long-term upside or draw back of IBM inventory over the long run.

As of this writing, James Brumley did not dangle a position in any of the aforementioned securities. that you may follow him on Twitter, at @jbrumley.


IBM and NVIDIA Collaborate to expand Open source computer discovering tools for statistics Scientists | killexams.com Real Questions and Pass4sure dumps

RAPIDS, new GPU-accelerated libraries to be made available in PowerAI on IBM POWER9, IBM Cloud, and IBM Watson Studio

ARMONK, N.Y., Oct. 10, 2018 /PRNewswire/ -- IBM (NYSE: IBM) nowadays introduced that it plans to incorporate the new RAPIDS™ open supply utility into its enterprise-grade facts science platform for on-premises, hybrid, and multicloud environments. With IBM's massive portfolio of deep discovering and laptop discovering solutions, it is superior positioned to convey this open-supply technology to information scientists even with their favored deployment mannequin.

IBM business enterprise brand. (PRNewsFoto/IBM agency) (PRNewsFoto/) (PRNewsfoto/IBM)

extra

"IBM has an extended collaboration with NVIDIA that has proven demonstrable efficiency raises leveraging IBM technology, like the IBM POWER9 processor, in combination with NVIDIA GPUs," said Bob Picciano, Senior vice chairman of IBM Cognitive programs. "We seem to continue to aggressively push the efficiency boundaries of AI for our clients as we carry RAPIDS into the IBM portfolio."

RAPIDS will help bring GPU acceleration capabilities to IBM offerings that take competencies of open source desktop discovering software including Apache Arrow, Pandas and scikit-gain knowledge of. immediate, broad ecosystem aid for RAPIDS comes from key open-supply contributors including Anaconda, BlazingDB, Graphistry, NERSC, PyData, INRIA, and u.s. Labs.

IBM is planning to deliver RAPIDS to key areas throughout on-premises, public, hybrid, and multicloud environments, includingi:

  • PowerAI on IBM POWER9, to leverage RAPIDS to expand the options accessible to facts scientists with new open source machine gaining knowledge of and analytics libraries. Accelerated workloads were proven to get an immediate advantage from the special engineering that NVIDIA and IBM have completed around POWER9, including integration of NVIDIA NVLink® and NVIDIA Tesla® Tensor Core GPUs. PowerAI is IBM's application layer that optimizes how trendy data science and AI workloads run on heterogeneous computing methods, and our goal is for this enhanced performance trajectory for GPU accelerated workloads on POWER9 to proceed with RAPIDS.
  • IBM Watson Studio and Watson computing device discovering, to take competencies of the vigour of NVIDIA GPUs so that records scientists and AI builders can build, set up, and run quicker fashions than CPU-handiest deployments for their AI functions in a multicloud ambiance with IBM Cloud private for statistics and IBM Cloud.
  • IBM Cloud, to users who opt for machines fitted with GPUs will be capable of apply the accelerated laptop gaining knowledge of and analytics libraries in RAPIDS for their cloud applications and tap the advantages of computing device getting to know.
  • "IBM and NVIDIA's shut collaboration over the years has helped main enterprises and organizations worldwide address probably the most world's biggest complications," talked about Ian Buck, vice president and regularly occurring manager of Accelerated Computing at NVIDIA. "Now, with IBM taking capabilities of RAPIDS open-supply libraries announced these days by way of NVIDIA, GPU accelerated computer discovering is coming to information scientists, helping them analyze big data for insights faster than ever feasible before."

    desktop gaining knowledge of is a kind of AI that enables a device to be trained from records instead of through explicit programming. companies throughout varied industries like retail, finance, and telecommunications, are both actively using machine getting to know or exploring computing device studying for the abilities price it offers to companies attempting to leverage massive statistics to help them more desirable be mindful the delicate changes in behavior, preferences, or customer pride.

    prior this 12 months, IBM set a record in a tera-scale laptop studying benchmark, beating the old record holder with the aid of 46x. using an IBM research-developed computing device researching algorithm known as IBM Snap computing device researching (Snap ML) running on IBM vigour methods AC922 servers with NVIDIA Tesla V100 Tensor Core GPUs, IBM researchers informed a logistic regression classifier in ninety one.5 seconds the use of a web promoting dataset launched by way of Criteo Labs with over 4 billion practicing examples.

    Media Contact

    Sam PonedalExternal family members, IBM vigor systems, IBMsponeda@us.ibm.com; (916) 217-0145

    Kristin BrysonNVIDIA PR Directorkbryson@nvidia.com; (203) 241-9190

    i Statements concerning IBM's future course and intent are discipline to trade or withdrawal without notice and signify goals and targets most effective.

    definite statements in this press free up including, however no longer limited to, statements as to:  the merits and have an effect on of IBM incorporating RAPIDS into its statistics science platform; and corporations across assorted industries actively the usage of or exploring desktop studying are forward-looking statements which are subject to hazards and uncertainties that might trigger outcomes to be materially different than expectations. essential components that may cause exact consequences to differ materially include: globaleconomic conditions; our reliance on third parties to manufacture, gather, package and test our products; the influence of technological development and competition; construction of new items and applied sciences or enhancements to our existing product and technologies; marketacceptance of our products or our partners' products; design, manufacturing or application defects; alterations in consumer preferences or demands; changes in trade specifications and interfaces; sudden lack of performance of our items or technologies when built-in into techniques;in addition to other components distinct occasionally in the studies NVIDIA info with the Securities and trade commission, or SEC, together with its form 10-Q for the fiscal duration ended July 29, 2018. Copies of stories filed with the SEC are posted on the enterprise's web site and are availablefrom NVIDIA for gratis. These ahead-looking statements are not ensures of future performance and communicate handiest as of the date hereof, and, except as required by using legislations, NVIDIA disclaims any duty to replace these ahead-searching statements to replicate future pursuits or cases.

    Story Continues


    A2030-280 Accessment: IBM Cloud Computing Infrastructure Architect V1

    Study Guide Prepared by Killexams.com IBM Dumps Experts


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    A2030-280 exam Dumps Source : Accessment: IBM Cloud Computing Infrastructure Architect V1

    Test Code : A2030-280
    Test Name : Accessment: IBM Cloud Computing Infrastructure Architect V1
    Vendor Name : IBM
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    Serverless Functions vs. Virtual Machines: A Total Cost of Ownership Comparison | killexams.com real questions and Pass4sure dumps

    Contrary to popular belief, you can deploy high-throughput workloads on higher-level abstractions like serverless Functions-as-a-Service (Faas) instead of defaulting to virtual machines.

    This post explores relevant cost, performance, and availability issues for a Total Cost of Ownership (TCO) comparison of virtual machine (VM) and serverless functions. We also highlight how this analysis can be used to compare serverless function costs with traditional Platforms-as-a-service (PaaS) infrastructures.

    We recommend comparing both infrastructure and operational management costs to achieve an apples-to-apples comparison and an accurate TCO analysis.

    This comparison uses IBM Cloud Virtual Servers to implement the VM option and IBM Cloud Functions as the serverless platform. We modeled a high-availability application that processes about 2.5 billion request calls per day.

    Both the VM and Cloud Functions deployments have the following enterprise characteristics:

  • There are three environments in use for the application (production, pre-production, and dev/test).
  • They deploy the production and pre-production environments across three geographical cloud regions for resiliency- and latency-optimization purposes.
  • They spread the deployment in each region across three availability zones to increase availability.
  • VM-Based Deployment

    In this scenario, the example application runs on virtual server instances with two processors and 4GB of memory. We used the average price of Red Hat Enterprise Linux (RHEL), Windows, and CentOS [1], where the incoming load is distributed amongst the VMs using a load balancer [3]. For each server, there are costs for automation tooling [2] and for labor for operational management tasks (e.g., patching, monitoring, etc.) [4]. We based the operational management cost estimate on discussions with IBM Subject Matter Experts (SMEs).

    The same VM setup is deployed in three regions for resiliency purposes. The pre-prod and production deployments comprise three regions. The testing environment is just in one region.

    Given that load is usually fluctuating, the VM scenario requires some buffer capacity to accommodate workload spikes. This is reflected in the calculation as "peak-to-average ratio." It addresses sudden peaks, which are very common even for "constant" workloads when looking at the load profile on a granular time scale. These spikes are so short-term that any kind of VM-based auto-scaling would be too slow to react. The conservative assumption made here is a 1:3 ratio (i.e., the peak is three times the average load), but there can be more extreme ratios. Values of up to 1:80 have been experienced. Figure 1 illustrates fine-grained workload volatility.

    Image title

    Below you'll find the costs tallied for the VM scenario, including infrastructure, operational management tools, and labor.

    Image title

    Serverless Function Platform

    The serverless function service — in this case, IBM Cloud Functions — executes actions (which are pieces of code written in any language) in response to specific requests or events. An event might be as simple as an HTTP request, a new record appearing in an IBM Cloudant database, or any other event happening within the context of an application.

    When creating a new action, the developer assigns the amount of memory to the action for its execution. When the action executes, Cloud Functions measures the time to serve the request. For example, it might take 83 milliseconds to serve a request. For each request, multiply the amount of memory assigned with the time taken to serve the request (rounded up to the next 100ms) to arrive at a GB-second value.

    This pay-per-request model, compared to buying pre-allocated, coarse-grained VM capacity, is what enables much of the cost savings laid out in this document.

    We estimated that Cloud Functions can process about 75 billion requests per month at a cost comparable to the VM-based deployment. This corresponds to 2.5 billion requests per day or about 29,000 requests per second, assuming a steady workload 24×7. This is clearly an extreme case, but it enables a relatively simple TCO analysis. In general, we expect Cloud Functions to run at a fraction of the cost of VM-based deployments for most workloads. Given the on-demand scaling of Cloud Functions, the cost is the same whether requests are constant or if the load changes frequently, as in Figure 1.

    Figure 3 shows cost calculations for the comparable Cloud Functions solution.

    Image title

    Another advantage for Cloud Functions users is that GB-second costs are the same regardless of the number of availability zones or regions used. IBM Cloud deploys Cloud Functions across three availability zones by default, at no extra charge.

    Moreover, Cloud Functions can also be deployed in multiple regions at no incremental costs. This is a unique property of the serverless cloud function model. This capability enables customers to achieve more 9's of availability at no incremental cost. For example, a Cloud Functions solution running in three regions can expect 99.9999999875% platform availability (Cloud Functions has 99.95% availability per region, or 1-(1-0.9995) 3 for 3 regions), at the same price as if it would be deployed in just a single region.

    In contrast, a VM-based deployment needs permanent capacity in each individual availability zone and region hosting the application, with the application running 24×7 in three availability zones for resiliency. The assumption in both cases is that a global load balancer offering 100% availability is used-if it has less than 100% availability, that needs to be equally factored in.

    To further reduce the costs on the serverless side, it is a common approach to process events/requests in bulk if that fits the nature of the workload, rather than one function invocation per event. This is an attractive approach where handling a single event is very lightweight and only takes a fraction of a millisecond. Each Cloud Functions invocation is charged a minimum of 100ms, so single lightweight requests might give away lots of compute cycles. Conversely, if the nature of the workload permits, the application could send events to Cloud Functions in groups. For sub-millisecond functions, 100 or more events could be processed in bulk within the 100ms window. By doing that, the overall Cloud Functions price can drop even further — in this case, by a factor of 100. This advantage is not reflected in our analysis but could be easily added where applicable.

    Serverless computing has none of the ongoing infrastructure operational costs that the VM-based solution incurs. For customers, there is nothing to manage on the infrastructure level. These functions shift to IBM as the service provider for Cloud Functions. The GB-second cost is the only incremental cost in the TCO analysis for Cloud Functions.

    In addition to potential hard dollar cost advantages of a serverless implementation, we regularly see other benefits, including the following:

  • Dramatically reduces the time-to-market due to its focus on the app code rather than the infrastructure.
  • Simplifies security management due to its high level of abstraction. Vulnerabilities such as Meltdown or Spectre are addressed transparently to the app developer.
  • Compliance standards, such as GDPR, can be addressed with a fraction of the effort it would take to update a typical VM-based solution.
  • This TCO analysis is just an example. Each situation is different. We recommend using the baseline structure we laid out and adjusting for specific issues.

    Comparison To Traditional PaaS Infrastructures

    Comparing traditional platform-as-a-service (PaaS) infrastructures with serverless cloud functions is similar to the VM comparison (although not as extreme) since PaaS represents a higher level of abstraction. The total cost of PaaS can be significant when costs for unused capacity, resiliency, automation, and management are included.

    For example, SiteSpirit, a Dutch IT company providing SaaS offerings for travel companies, migrated the core of their application from Cloud Foundry to Cloud Functions, resulting in 90% cost reduction and 10x faster application performance. You can read the full case study here.

    A Real-World Deployment Example

    An IBM client had an existing VM-based application used by Business Analysts to generate company investment profiles. The solution sources company data from over 150 sources, including Factiva, LexisNexis, Google search engine, and social media. It produces a Rapid Assessment report that summarizes a company's data in categories such as Key Players, M&A activities, Legal, etc. Currently, it takes about three days to produce a Rapid Assessment Report. 10,000 Rapid Assessment Reports are produced annually.

    The client asked IBM to compare costs for solutions that could produce 300,000 Rapid Assessment Reports per year and reduce the time to generate reports to less than one day.

    We looked at several alternatives to redesign the solution, including Containers, Cloud Foundry, and Cloud Functions. Furthermore, we estimated that the application re-development costs would be lowest using VMs or Cloud Functions, so we explored these two options in detail.

    Image title

    Figure 4 depicts the initial VM-based architecture for the solution as hosted on the public cloud.

    In the VM-based application, a company's profile is generated as follows:

  • A Business Analyst generates a request via the User Interface (UI) for an area of interest, such as "Stanford Financial Group."
  • A VM-based IBM Watson Explorer engine (previously called Watson Data Explorer) pulls data for the source entity from third-parties that license company data.
  • The Watson Explorer Engine crawls through the source data and aggregates information for key metrics (e.g., Legal, Key Players, etc.). The Content Analytics component analyzes structured and unstructured content in the source documents. Entity analytics is performed to identify entities (such as an individual named "Allen Stanford") and generate aggregate metrics.
  • The aggregated data is stored in an IBM Db2 database.
  • A Rapid Assessment Report is generated and presented in the UI.
  • Business Analysts are able to view reports and perform searches on the aggregate data.
  • This solution to produce 10,000 Rapid Assessment Reports per year costs approximately $150,000 per year.

    Expansion Scenario: VM-Based Solution

    We estimated that scaling the existing VM-based solution to produce 300,000 reports per year would cost about $1.5 million per year.

    The VM-based solution requires a high degree of care, which is provided by the client. For example, middleware components — including IBM Business Process Management, Db2, and the integration layer — must be monitored and managed. In the scaled-out solution, the number of administrators required to manage middleware components would increase.

    Expansion Scenario: IBM Cloud Functions

    The IBM team recommended a new solution architecture based on IBM Cloud Functions that would easily scale to support 300,000 Rapid Assessment Reports per year and generate reports in under 15 minutes.

    Figure 5 illustrates the Cloud Functions architecture.

    Image title

    The new solution retains the process flow of the old architecture and implements key capabilities as six serverless cloud functions:

  • Request Management: Present the Request Management page and respond to a request to execute a new Company research activity.
  • Get Dataset: Request data from Import.IO and store in IBM Cloud Object Storage (COS).
  • Upload and Tag Objects: As each object is pushed to COS, tag it with the Company each object is associated with.
  • Build Summary Report: Execute multiple WDS queries, query result post-processing steps, and codify rules against the enriched objects to prepare data for the Rapid Assessment View.
  • Notifications: Send an email with a URL to the user that initiated the Rapid Assessment Report request.
  • Quick Scan View Service: Present the Quick Scan View Page from the data stored in the Graph Database.
  • Figure 6 summarizes the workload and pricing assumptions for the Cloud Functions solution. Each Rapid Assessment Report request generates the activity described to estimate the cost per report.

    Image title

    Key for Figure 6:

  • QTY: The number of functions to execute for each Rapid Assessment. A quantity of "7" indicates the 7 key areas where the Rapid Assessment Report is generated. Report areas include "Legal" and "Key Players"
  • MS: Milliseconds of execution time
  • M: Megabytes of RAM allocated to execution
  • GBS: Gigabyte-Seconds of function execution
  • The estimated cost for IBM Functions to generate 300,000 Rapid Assessment Reports is $18,143.83, or 300,000 * $0.060479, using the cost calculations in Figure 6.

    The recommended solution has other cost components beyond Cloud Functions, including the following:

  • Watson Knowledge Studio
  • IBM Cloud Object Storage
  • JanusGraph DB
  • We estimated the total cost, including IBM Cloud Functions and other components, would be $360,000 per year. In this scenario, the recommended IBM solution is approximately 75% less per year than the total cost of the scaled-up VM environment.

    IBM Notices

    Prices are current as of (the date) and subject to change without notice.

    Results may vary depending on operating environment.

    The experiences described in this article draw upon information and opinions provided by the clients. Not all users may get the same results.

    The performance data for this article was collected in a controlled, isolated environment. Actual results in other operating environments may vary. While IBM has reviewed each item for accuracy in a specific situation, there is no guarantee that others can achieve same or similar results elsewhere.

    The responsibility for use of this information or implementing any of these techniques is a customer responsibility and depends on the customer's or user's ability to test and integrate them into their operating environment. Customers or users trying to adapt these techniques to their own environments do so at their own risk. In no event shall IBM be liable for any damage arising from the use of this information, including but not limited to, loss of data, business interruption, loss of profit or loss of opportunity.

    Sources:

    [1] https://www.ibm.com/cloud/virtual-servers

    [2] Used the example calculation on this page, which is conservative for our scenario: https://console.bluemix.net/docs/infrastructure/loadbalancer-service/pricing.html#pricing

    [3] Based on discussions with IBM subject matter experts regarding server management costs

    This article was originally published on IBM's blog.


    Engility launches Cloud ASCEND to transform cloud migration for government agencies | killexams.com real questions and Pass4sure dumps

    CHANTILLY, Va.--(BUSINESS WIRE)--Engility Holdings, Inc. (NYSE:EGL) has announced today the launch of Cloud ASCEND™, an end-to-end solution for enterprise cloud architecture, migration and optimization. Developed for the unique requirements of highly secure government enterprises, particularly within the Department of Defense and Intelligence Community, Cloud ASCEND brings a data-driven approach to customers that helps realize the benefits of cloud computing and enterprise modernization.

    “Cloud ASCEND is another example of the innovative engineering that Engility is driving to support the federal government, for whom cloud migration is a huge priority,” said Amanda Brownfield, Senior Vice President for Engility’s Intelligence Solutions Group. “We look forward to working together with our customers and partners to tackle this critical step in advancing the government’s digital transformation.”

    Cloud ASCEND combines state-of the-art commercial cloud tools with Engility’s proprietary methodology and team of certified cloud experts to help customers realize a seamless and secure digital transformation.

    Engility leverages dynamic cloud analytic tools to deliver cloud migration in less time:

  • IBM Brokerage – Rapid assessment of enterprise systems for cloud readiness and mission benefit
  • Burstorm – Model, design, benchmark and optimize cloud infrastructure
  • Sequoia Combine – Model, develop and test systems bound for the Intelligence Community’s secure C2S cloud in an unclassified emulator
  • CSA STARWatch – Manage security compliance with industry standards and requirements
  • “While many organizations and agencies recognize that they need to migrate to the cloud, they are often hindered by not knowing when and how to get started,” said Kevin Jackson, Engility Director of Cloud Solutions. “The process we use in the Cloud ASCEND solution delivers a clear, data-driven path to the cloud and ensures mission performance so that customers migrate with confidence.”

    Engility follows a disciplined methodology to analyze, design, migrate, operate and optimize scalable, secure and resilient cloud enterprise architectures. With Cloud ASCEND, customers can reduce risk and complexity and receive the visibility and governance support needed for successful cloud migration.

    Engility will be at GEOINT June 4-7, 2017, in Booth No. 1241, to launch and demonstrate Cloud ASCEND. For more information please visit www.engilitycorp.com/cloudascend.

    About Engility

    Engility (NYSE: EGL) is engineered to make a difference. Built on six decades of heritage, Engility is a leading provider of integrated solutions and services, supporting U.S. government customers in the defense, federal civilian, intelligence and space communities. Our innovative, highly technical solutions and engineering capabilities address diverse client missions. We draw upon our team’s intimate understanding of customer needs, deep domain expertise and technical skills to help solve our nation’s toughest challenges. Headquartered in Chantilly, Virginia, and with offices around the world, Engility’s array of specialized technical service offerings include high-performance computing, cybersecurity, enterprise modernization and systems engineering. To learn more about Engility, please visit www.engilitycorp.com and connect with us on Facebook, LinkedIn and Twitter.


    Converged Infrastructure Market Value to Attain at US$76.26 Bn by 2025 | killexams.com real questions and Pass4sure dumps

    Albany, NY -- (SBWIRE) -- 05/18/2018 -- According to TMR, the global converged infrastructure market will be worth US$76.26 bn by the end of 2025. It is anticipated that between 2017 and 2025 this Market will exhibit a cagr of 22.4%. on the basis of geography it is anticipated that by 2025 North America will account for 39.5% of the total Market. On the basis of end-users, the Telecommunications and IT sector will lead and exhibit a 34.2% of the total market.

    Global Converged Infrastructure Market: Overview

    A converged infrastructure gives IT, a suite of best infrastructure components from several vendors in one hardware stack. Thus, the various companies have to work with one vendor than multiple vendors in order to delivery single solution that constitute storage, servers, networking and software capabilities. Private clouds based on a converged infrastructure provide economies of scale, and necessary security for the protection of business-critical applications as well as data. Moreover, the converged infrastructure platform influences virtualization for providing private-cloud computing solutions to end-users effectively and quickly. With the help of converged infrastructure, the organizations can access a single platform that contains all the resources which deliver scalability, flexibility and collaboration system. In addition, various data center enterprises across various regions especially in U.S, Germany, U.K and China among others are witnessing significant growth due to the rising spending on IT infrastructure development in coming years. Additionally, the specific design of a converged infrastructure solution should make it easy to scale a virtualization environment to support all critical workload applications. Thus, the global converged infrastructure market is expected for a steady growth rate during the projection period of 2017 to 2025.

    Get the sample copy of this report @ https://www.marketresearchreports.biz/sample/sample/228435

    Global Converged Infrastructure Market: Segmentation

    This research report provides in-depth analysis of the global converged infrastructure market based on components, architecture types, end-use sectors, and geography. Based on components, the converged infrastructure market is segmented into server, storage, network, software and services. Based on architecture type, global converged infrastructure market has been segmented into pre- configured and customized. In addition, the manufacturers of converged infrastructure have developed customized solutions that combine networking, storage as well as virtualization technology for resolving the various data center problems. Based on end use industry, the converged infrastructure market has been segmented into BFSI, telecommunication and IT, manufacturing, healthcare and others.Geographically, the global converged infrastructure market has been bifurcated into North America, Europe, Asia Pacific, Middle East and Africa, Latin America. The converged infrastructure market has been provided in (USD billion) in terms of revenue as well as the CAGR for the forecast period of 2017 to 2025.

    Global Converged Infrastructure Market: Drivers and Restraints

    The report also provides assessment of different drivers that is impacting the global converged infrastructure market, along with the restraints and opportunities that has also been covered under the scope of this report. For each segment (such as components, architecture type and end use industry), market dynamics analysis has been provided. All these factors helps in determining different trends that has been impacting the overall converged infrastructure market growth. Moreover, after taking into consideration all this factors, an extensive analysis of the region wise growth parameters of converged infrastructure market along with the overall assessment for the forecast period of 2017-2025 has been also been provided within this report. Moreover, competitive landscape of major companies has been covered in the scope our report.

    The key players in the converged infrastructure market have been competitively profiled across the five broad geographic regions. This competitive landscape is inclusive of the various business strategies adopted by these major players and their recent developments in the field of converged infrastructure market. Further, the report includes the market attractiveness analysis of different types of components of global converged infrastructure market and insight into the major end use industry area of the converged infrastructure solutions.

    Request for complete report TOC @ https://www.marketresearchreports.biz/reports/228435/converged-infrastructure-global-industry-market-research-reports/toc

    Key Players Mentioned in the Report are:

    The global converged infrastructure market is characterized by the presence of numerous key players in the market The key market players compete their competition on the basis of factors such as price, performance, quality, support services and innovations of product. Major players in converged infrastructure market are Nutanix, Inc. (The U.S), Hitachi Data Systems (The U.S), Oracle Corporation (The U.S), IBM Corporation (The U.S), Hewlett-Packard Enterprise (The U.S), Cisco System, Inc. (The U.S), VMware Inc.(The U.S), Dell EMC (The U.S), Scale Computing (The U.S) and NetApp, Inc. (The U.S) among others.

    The Converged Infrastructure market has been segmented as follows:

    Global Converged Infrastructure Market by Components

    ServerStorageNetworkSoftwareServices

    Global Converged Infrastructure Market by Architecture Type

    Pre- ConfiguredCustomized

    Global Converged Infrastructure Market by End Use Industry

    BFSITelecommunication and ITManufacturingHealthcareOthers

    Global Converged Infrastructure Market by Region

    North AmericaThe U.S.CanadaMexicoEuropeU.KGermanyFranceRest of EuropeAsia PacificChinaJapanIndiaSouth KoreaRest of Asia PacificMiddle East and AfricaUnited Arab EmiratesSaudi ArabiaSouth AfricaRest of Middle East and AfricaLatin AmericaBrazilRest of Latin America



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    IBM A2030-280 Exam (Accessment: IBM Cloud Computing Infrastructure Architect V1) Detailed Information



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