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C9030-634 IBM z Systems Technical Support V6

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C9030-634 exam Dumps Source : IBM z Systems Technical Support V6

Test Code : C9030-634
Test denomination : IBM z Systems Technical Support V6
Vendor denomination : IBM
: 78 true Questions

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IBM IBM z Systems Technical

: IBM Z integrates legacy expertise for a much better multicloud | killexams.com true Questions and Pass4sure dumps

As businesses relish the benefits of growth in hybrid environments, they too kisser current hurdles in protection and scale. current additions to the IBM Cloud Hyper give protection to features had been built with these multicloud challenges in intellect, in accordance with Michael Jordan (pictured, correct), wonderful engineer at IBM, and Rohit Badlaney (pictured, left), director of IBM Z as a provider and blockchain at IBM.

Jordan and Badlaney spoke with Dave Vellante (@dvellante) and Stu Miniman (@stu), co-hosts of theCUBE, SiliconANGLE Media’s cellular livestreaming studio, each and every through the IBM account taste in San Francisco. They discussed the brand current announcements around IBM’s cloud features and the way the commerce is leveraging legacy know-how for a higher hybrid offering. (* Disclosure below.)

[Editor’s note: The following answers believe been condensed for clarity.]

Miniman: clarify what the intelligence is.

Badlaney: Hyper protect is a family unit of capabilities inbuilt their IBM Cloud on their cloud-ready methods, that are the ZR1 techniques in a multi-zone configuration ingredient that gives the high-availability calamity restoration. services we’re asserting at this convention [are] round crypto and key administration, [which] gives the highest tiers of security for their cloud; information as a service, which does neatly within the platform as an information serving platform; [and] digital servers tied into their Kubernetes service. We’re bringing the breadth of their Z to their cloud.

Vellante: before distributed systems, you knew you had plenary visibility. believe you ever been in a position to elevate that stage of transparency into the cloud?

Jordan: one of the crucial key areas it really is a great focal point for safety within the cloud is encryption, [it] goes to be a vital a section of being capable of tide facts to the cloud. Being capable of convey your personal key is absolutely standard. one of the crucial capabilities that we’ve had on the Z platform for a very long time actually lend themselves smartly to a cloud environment. Their cryptographic hardware may too be virtualized. each server i will be able to believe sixteen cryptographic cards with 85 virtual domains per card. Multiply that out; it serves a cloud scale very well. in addition, the cryptographic hardware is designed to meet the highest degree of safety certification necessities.

Vellante: What’s the company case for Hyper give protection to and Z as a service?

Badlaney: It’s round information protection. It’s around scale. It’s not a well-recognized truth, however in reality their blockchain platform and the entire success IBM’s had on blockchain has been operating in their cloud on their Z methods over the last two years with 500-plus strains. those are the type of workloads that benefit.

Miniman: evaluate and distinction how protection matches in Z versus public clouds.

Jordan: With Z they wield a huge portion of the stack, so we’re able to integrate safety into assorted layers of the stack. restful service containers are encrypted. You deploy an software, and these containers procure encrypted in flight and at leisure. And there’s no configuration, no deploy for that; it occurs automatically. They digitally signal and validate each and every of the firmware the working system, the software, the total kit that gets loaded into one of these environments.

Now we’re into that ambiance, and they [have] constrained administrative access to avoid directors from having uncontrolled entry to the file device. in view that they personal that stack, they can in reality combine those safety capabilities vertically via that stack to give the proper cost and the capabilities that you exigency in the cloud to protect each the utility and the facts.

Vellant: talk a bit bit about the roadmap.

Badlaney: The legacy of Z has always being scaled performance, hyper protection for probably the most regulated industries, for the most compliant industries and their biggest companies. That’s going to proceed in the next generation. They spoke of hyper keeping the public cloud, however we’re too increasing Kubernetes orchestration on-premise with their IBM Cloud deepest product being supported completely on LinuxONE and expanding it to Linux workloads and Z sequence workloads. Cloudification of the platform is the next spacious step for us.

Watch the complete video interview under, and obtain inescapable to try more of SiliconANGLE’s and theCUBE’s coverage of the IBM mediate event. (* Disclosure:  IBM subsidized this side of theCUBE. Neither IBM nor different sponsors believe editorial manage over content material on theCUBE or SiliconANGLE.)

picture: SiliconANGLE considering that you’re perquisite here …

… We’d want to expose you about their mission and the way that you can support us fulfill it. SiliconANGLE Media Inc.’s enterprise mannequin is in line with the intrinsic cost of the content, not promoting. unlike many on-line publications, they don’t believe a paywall or dash banner advertising, as a result of they are looking to preserve their journalism open, with out influence or the exigency to chase traffic.The journalism, reporting and commentary on SiliconANGLE — together with reside, unscripted video from their Silicon Valley studio and globe-trotting video teams at theCUBE — grasp a lot of challenging work, time and funds. conserving the pleasant tall requires the assist of sponsors who're aligned with their imaginative and prescient of ad-free journalism content.

in case you just relish the reporting, video interviews and other advert-free content material perquisite here, please grasp a minute to grasp a watch at a pattern of the video content material supported by way of their sponsors, tweet your aid, and preserve coming lower back to SiliconANGLE.


vanguard Integrity professionals At IBM Z programs Technical tuition | killexams.com true Questions and Pass4sure dumps

LAS VEGAS, Nov. 7, 2017 /PRNewswire/ -- vanguard Integrity gurus, Inc., cybersecurity experts  with cybersecurity solutions securing any business, is disdainful to be a silver sponsor and array at IBM z methods Technical institution 2017 in Washington, D.C., November 13 - 17, 2017.  moreover, vanguard cybersecurity consultants can be purchasable to focus on themes addressing the latest protection and compliance concerns.  forefront will spotlight its safety options demonstrating how they play a vital role holding any business, cloud or IBM® z/OS® security server environment.

www.go2vanguard.com (PRNewsFoto/Vanguard Integrity Professionals)

IBM technical practising events are designed for technical progress in IBM Z®, IBM energy programs™ and IBM Storage.  The week is packed with skill-constructing classes, palms-on labs, onsite certification trying out and a brilliant retort center. 

security specialists from forefront will be handy at IBM z programs Technical school 2017 to discuss the latest safety and compliance subject matters, developments and thoughts over the multi-day conference. They invite you to revert with the aid of their booth in the options hub in the Washington Hilton and meet with forefront executives. 

About leading edge Integrity specialists

forefront Integrity specialists offers commerce safety software and services that solve complicated protection and regulatory compliance challenges for economic, assurance, healthcare, training, transportation and government corporations worldwide. leading edge gives Cybersecurity solutions Securing any enterprise.  the realm's biggest financial, insurance, executive organizations and dealers entrust their safety to leading edge Integrity gurus.  forefront is committed to conserving and securing the Cloud and any enterprise environment.  vanguard gives 24/7/365 live consumer pilot from the USA of the usa.

IBM, the IBM emblem, IBM.com, IBM z, z programs and z/OS are logos of overseas enterprise Machines service provider registered in many jurisdictions in the u.s. and/or other nations global.

 

View customary content material with multimedia:https://www.prnewswire.com/information-releases/leading edge-integrity-professionals-at-ibm-z-techniques-technical-tuition-300550539.html

supply leading edge Integrity specialists, Inc.


IBM (IBM) Up three.9% considering the fact that remaining earnings report: Can It proceed? | killexams.com true Questions and Pass4sure dumps

A month has passed by because the closing profits file for IBM (IBM). Shares believe introduced about three.9% in that time frame, underperforming the S&P 500.

Will the synchronous superb trend continue leading as much as its subsequent revenue unencumber, or is IBM due for a pullback? earlier than they dive into how buyers and analysts believe reacted as of late, let's grasp a brief look to be on the most fresh revenue record in order to procure a more robust address on the Important drivers.

IBM this plunge earnings Beat Estimates, Revenues Decline Y/Y

international enterprise Machines Corp delivered fourth-quarter 2018 non-GAAP income of $4.87 per share, which beat the Zacks Consensus assess of $4.eighty one per share. however, profits per share (EPS) lowered 5.9% from the 12 months-in the past quarter. The 12 months-over-12 months decline in EPS will too be attributed to larger tax fee.

Revenues of $21.seventy six billion had been just about in keeping with the Zacks Consensus assess of $21.seventy four billion and declined 3.5% on a 12 months-over-year foundation. At constant forex (cc), revenues dipped 1%. The year-over-yr decline can essentially be attributed to exotic money fluctuation and headwinds from IBM Z product cycle.

specially, IBM mentioned that signings surged 21% on cc basis to $15.8 billion. capabilities backlog declined 1% yr over yr and got here in at $116 billion.

Geographic profits details

Revenues from Americas believe been down four%, reflecting the headwind from the IBM Z product cycle. despite the fact, persevered growth in Latin the united states became a good.

Europe, core-East and Africa multiplied 2% from the 12 months-in the past quarter chiefly because of multiply in Spain, Germany, Italy and the U.ok.

Asia-Pacific revenues declined 1% on a yr-over-12 months groundwork with modest multiply in Japan.

Strategic Imperatives growth Continues

Strategic Imperatives (cloud, analytics, mobility and safety) grew 5% at cc from the yr-in the past quarter to $11.5 billion. except IBM Z product cycle believe an repercussion on Strategic Imperatives grew eleven% year over year.

safety revenues surged 17% (apart from IBM Z product cycle believe an repercussion on) and declined 3% on cc basis. On a trailing 12-month basis, Strategic Imperatives revenues were $40 billion, up 9%.

Cloud revenues surged 6% from the year-ago quarter to $5.7 billion and 19% (except for IBM Z product cycle influence). The annual dash expense for cloud as-a-provider revenues elevated 21% at cc on a 12 months-over-year basis to $12.2 billion.

Cloud revenues of $19.2 billion on a trailing 12-month foundation improved 12% 12 months over year.

Cognitive Revenues Surge

Cognitive options’ revenues-exterior expanded 2% 12 months over yr (on cc foundation) to $5.5 billion. Revenues from Cognitive solutions (including solutions application and transaction processing) expanded essentially because of growth in options application, including analytics and synthetic intelligence (AI).

Segmental revenues relating Strategic Imperatives and Cloud extended 9% and 5%, respectively. Cloud as-a-service income annual dash fee changed into $2 billion.

solutions software contains choices in strategic verticals relish fitness, area-specific capabilities relish analytics and security, and IBM’s emerging technologies of AI and blockchain. The segment too comprises choices that address horizontal domains relish collaboration, commerce and ability. in the pronounced quarter, options application revenues improved three% yr over year.

IBM pointed out that the combination of AI into choices relish customer taste analytics in commerce domain helped SaaS signings to develop in double digit in the said quarter.

Transaction Processing application includes utility that runs mission-essential workloads, leveraging IBM’s hardware platforms. Revenues were up 1% on a year-over-yr groundwork.

IBM witnessed multiply in commerce verticals relish fitness, key areas of analytics and security in the quarter. Watson health witnessed vast-based multiply in Payer, issuer, Imaging and life Sciences domains.

during the fourth quarter, IBM elevated partnership with Vodafone community. Per the deal, IBM’s advanced hybrid cloud platform, AI, web of things (“IoT”) capabilities will assist Vodafone company with digital transformation initiatives.

IBM stated that analytics carried out smartly in the quarter, driven by means of records science offerings and IBM Cloud inner most for data offering.

protection multiply became pushed by means of choices in orchestration, records security and endpoint administration.

Story continues

In blockchain, IBM announced addition of a yoke of current clients during the quarter, which contains “work with smart Dubai on the hub East’s first executive-recommended blockchain platform.” The enterprise too unveiled an on-prem providing each and every through the mentioned quarter, the IBM Blockchain Platform for IBM Cloud inner most. a yoke of current deal wins is additionally assisting IBM to obtain stronger its foothold in blockchain know-how.

global enterprise features Revenues boost

Revenues from global commerce services-exterior side were $four.three billion, up four% from the year-ago quarter (up 6% at cc). The 12 months-over-12 months raise changed into primarily as a result of multiply throughout each and every three company areas specifically consulting, application administration and international technique services.

Segmental revenues pertaining to Strategic Imperatives grew 14%. Cloud apply surged 34%. Cloud as-a-provider salary annual dash expense was $2.1 billion.

application management revenues improved four% from the 12 months-in the past quarter. world system capabilities revenues climbed 5%. additionally, Consulting revenues increased 10% year over year, driven by robust performance from IBM’s digital business.

expertise features & Cloud systems: Revenues Dip

Revenues from expertise capabilities & Cloud systems-exterior diminished three% from the year-ago quarter (flat at cc) to $eight.9 billion. Segmental revenues referring to Strategic Imperatives superior 13%, pushed by using hybrid cloud features. Cloud surged 22% from the year-in the past quarter. Cloud as-a-carrier profits annual dash expense changed into $8 billion.

Integration application expanded 4% from the year-in the past quarter. each and every through the suggested quarter, more than one hundred businesses each and every over the world selected IBM Cloud deepest providing. Infrastructure capabilities revenues had been flat on a yr-over-year basis.

Technical support functions revenues diminished 3% from the yr-in the past quarter.

vigor & z14 pressure techniques Revenues

techniques revenues lowered 21% on a 12 months-over-year groundwork (down 20% at cc) to $2.6 billion, basically as a result of touch of the IBM Z product cycle. Segmental revenues pertaining to Strategic Imperatives plunged 22%, while Cloud revenues declined 31%.

IBM Z revenues diminished 44% year over 12 months. besides the fact that children, MIPS aptitude has expanded round 20%, driven via huge-primarily based adoption of the z14 mainframe.

energy revenues increased 10% from the yr-in the past quarter. The upside changed into chiefly due to Linux and wonderful adoption across the newest POWER9-based structure.

all over the fourth quarter, IBM achieved the launch of its subsequent era POWER9 processors for midrange and excessive-conclusion programs which are designed for coping with advanced analytics, cloud environments and records-intensive workloads in AI, HANA, and UNIX markets.

IBM additionally brought current offerings optimizing each hardware and application for AI. administration believes that items relish PowerAI vision and PowerAI enterprise will help drive current customer adoption.

despite the fact, storage hardware revenues declined due to weak efficiency within the mid-range conclusion, partly offset through mighty growth in each and every glisten Arrays. IBM brought up that pricing drive within the immensely competitive storage market is hurting revenues. The company introduced its current FlashSystems with next era NVMe technology during the stated quarter.

working techniques software revenues declined 3%, while methods Hardware slumped 23% from the 12 months-ago quarter.

eventually, international Financing (comprises financing and used machine sales) revenues lowered eleven% year over yr and 9% at cc to $402 million.

operating details

Non-GAAP low margin remained unchanged from the yr-ago quarter at forty nine.5%. The low margin benefited essentially by 190 groundwork points (bps) enlargement in features margin. however, unfavorable fuse in IBM Z product cycle utterly offset this enlargement.

working rate declined 5.three% 12 months over year, because of awareness of acquisition synergies and improving operational efficiencies. IBM continues to invest in impulsively growing to be fields relish hybrid cloud, synthetic intelligence (AI), protection and blockchain.

Pre-tax margin from carrying on with operations expanded 50 bps on a year-over-yr basis to 23.1%.

Cognitive solutions and international company capabilities side pre-tax margins accelerated 290 bps and 520 bps, respectively, on a yr-over-12 months foundation. however, technology capabilities & Cloud structures section pre-tax margin reduced in size 20 bps.

Non-GAAP working margins from carrying on with operations gotten smaller ninety bps and got here in at 20.3%.

stability Sheet & money circulation details

IBM ended fourth-quarter 2018 with $eleven.99 billion in complete cash and marketable securities in comparison with $14.70 billion on the conclusion of third-quarter 2018. complete debt (including latest portion) changed into $forty five.8 billion, down from $46.9 million from the dilapidated quarter.

IBM suggested cash movement from operations (apart from world Financing receivables) of $7.three billion and generated free money scramble of $6.5 billion in the quarter under evaluation.

within the pronounced quarter, the commerce lower back $3.5 billion to shareholders via dividends and share repurchases. The company returned greater than $10 billion to shareholders through dividends and share repurchases for the total fiscal yr.

on the conclusion of the 12 months, the enterprise had $3.three billion closing under present buyback authorization.

Fiscal 2018 Highlights

IBM reported fiscal 2018 non-GAAP income of $13.eighty one per share, the location as revenues came in at $seventy nine.6 billion, up 1% every 12 months over yr.

Revenues from Cognitive options, world enterprise functions, technology functions & Cloud structures, techniques and global Financing got here in at $18.forty eight billion, $sixteen.82 billion, $34.46 billion, $8.03 billion and $1.fifty nine billion, respectively.

suggestions

IBM expects non-GAAP EPS forecast for 2019 to be at the least $13.90.

IBM nevertheless anticipates 2019 free money movement of $12 billion.

How believe Estimates Been touching because Then?

It turns out, fresh estimates flatlined throughout the past month.

VGM scores

at present, IBM has a subpar growth ranking of D, despite the fact its Momentum ranking is doing a whole lot greater with a B. Charting a a miniature bit identical direction, the stock was allotted a grade of A on the value aspect, putting it in the desirable quintile for this funding method.

universal, the inventory has an aggregate VGM rating of B. if you are not concentrated on one strategy, this score is the one obtain sure to be interested in.

Outlook

IBM has a Zacks Rank #three (hang). They await an in-line revert from the stock in the following few months.

want the newest innovations from Zacks investment analysis? today, which you could down load 7 choicest shares for the next 30 Days. click on to procure this free report foreign company Machines enterprise (IBM) : Free inventory analysis record To examine this text on Zacks.com click perquisite here. Zacks funding analysis


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IBM (IBM) Up 3.9% Since last Earnings Report: Can It Continue? | killexams.com true questions and Pass4sure dumps

A month has gone by since the last earnings report for IBM (IBM). Shares believe added about 3.9% in that time frame, underperforming the S&P 500.

Will the recent positive trend continue leading up to its next earnings release, or is IBM due for a pullback? Before they dive into how investors and analysts believe reacted as of late, let's grasp a quick watch at the most recent earnings report in order to procure a better wield on the Important drivers.

IBM Q4 Earnings Beat Estimates, Revenues Decline Y/Y

International commerce Machines Corp delivered fourth-quarter 2018 non-GAAP earnings of $4.87 per share, which beat the Zacks Consensus assess of $4.81 per share. However, earnings per share (EPS) decreased 5.9% from the year-ago quarter. The year-over-year decline in EPS can be attributed to higher tax rate.

Revenues of $21.76 billion were almost in line with the Zacks Consensus assess of $21.74 billion and declined 3.5% on a year-over-year basis. At constant currency (cc), revenues dipped 1%. The year-over-year decline can primarily be attributed to currency fluctuation and headwinds from IBM Z product cycle.

Notably, IBM stated that signings surged 21% on cc basis to $15.8 billion. Services backlog declined 1% year over year and came in at $116 billion.

Geographic Revenue Details

Revenues from Americas were down 4%, reflecting the headwind from the IBM Z product cycle. However, continued growth in Latin America was a positive.

Europe, Middle-East and Africa increased 2% from the year-ago quarter mainly due to growth in Spain, Germany, Italy and the U.K.

Asia-Pacific revenues declined 1% on a year-over-year basis with modest growth in Japan.

Strategic Imperatives Growth Continues

Strategic Imperatives (cloud, analytics, mobility and security) grew 5% at cc from the year-ago quarter to $11.5 billion. Excluding IBM Z product cycle repercussion Strategic Imperatives grew 11% year over year.

Security revenues surged 17% (excluding IBM Z product cycle impact) and declined 3% on cc basis. On a trailing 12-month basis, Strategic Imperatives revenues were $40 billion, up 9%.

Cloud revenues surged 6% from the year-ago quarter to $5.7 billion and 19% (excluding IBM Z product cycle impact). The annual dash rate for cloud as-a-service revenues increased 21% at cc on a year-over-year basis to $12.2 billion.

Cloud revenues of $19.2 billion on a trailing 12-month basis increased 12% year over year.

Cognitive Revenues Surge

Cognitive Solutions’ revenues-external increased 2% year over year (on cc basis) to $5.5 billion. Revenues from Cognitive Solutions (including solutions software and transaction processing) increased primarily due to growth in solutions software, including analytics and synthetic intelligence (AI).

Segmental revenues pertaining to Strategic Imperatives and Cloud increased 9% and 5%, respectively. Cloud as-a-service revenue annual dash rate was $2 billion.

Solutions Software includes offerings in strategic verticals relish health, domain-specific capabilities relish analytics and security, and IBM’s emerging technologies of AI and blockchain. The segment too includes offerings that address horizontal domains relish collaboration, commerce and talent. In the reported quarter, Solutions Software revenues increased 3% year over year.

IBM stated that the integration of AI into offerings relish customer taste analytics in commerce domain helped SaaS signings to grow in double digit in the reported quarter.

Transaction Processing Software includes software that runs mission-critical workloads, leveraging IBM’s hardware platforms. Revenues were up 1% on a year-over-year basis.

IBM witnessed growth in industry verticals relish health, key areas of analytics and security in the quarter. Watson Health witnessed broad-based growth in Payer, Provider, Imaging and Life Sciences domains.

During the fourth quarter, IBM expanded partnership with Vodafone Group. Per the deal, IBM’s advanced hybrid cloud platform, AI, Internet of Things (“IoT”) capabilities will aid Vodafone commerce with digital transformation initiatives.

IBM stated that analytics performed well in the quarter, driven by data science offerings and IBM Cloud Private for Data offering.

Security growth was driven by offerings in orchestration, data security and endpoint management.

Story continues

In blockchain, IBM announced addition of several current clients during the quarter, which includes “work with Smart Dubai on the Middle East’s first government-endorsed blockchain platform.” The company too unveiled an on-prem offering during the reported quarter, the IBM Blockchain Platform for IBM Cloud Private. Several current deal wins is too aiding IBM to strengthen its foothold in blockchain technology.

Global commerce Services Revenues Increase

Revenues from Global commerce Services-external segment were $4.3 billion, up 4% from the year-ago quarter (up 6% at cc). The year-over-year multiply was primarily due to growth across each and every three commerce areas namely consulting, application management and global process services.

Segmental revenues pertaining to Strategic Imperatives grew 14%. Cloud exercise surged 34%. Cloud as-a-service revenue annual dash rate was $2.1 billion.

Application Management revenues increased 4% from the year-ago quarter. Global Process Services revenues climbed 5%. Moreover, Consulting revenues increased 10% year over year, driven by strong performance from IBM’s digital business.

Technology Services & Cloud Platforms: Revenues Dip

Revenues from Technology Services & Cloud Platforms-external decreased 3% from the year-ago quarter (flat at cc) to $8.9 billion. Segmental revenues pertaining to Strategic Imperatives advanced 13%, driven by hybrid cloud services. Cloud surged 22% from the year-ago quarter. Cloud as-a-service revenue annual dash rate was $8 billion.

Integration Software increased 4% from the year-ago quarter. During the reported quarter, more than 100 companies around the world selected IBM Cloud Private offering. Infrastructure Services revenues were flat on a year-over-year basis.

Technical Support Services revenues decreased 3% from the year-ago quarter.

Power & z14 Drive Systems Revenues

Systems revenues decreased 21% on a year-over-year basis (down 20% at cc) to $2.6 billion, primarily owing to repercussion of the IBM Z product cycle. Segmental revenues pertaining to Strategic Imperatives plunged 22%, while Cloud revenues declined 31%.

IBM Z revenues decreased 44% year over year. However, MIPS capacity has increased around 20%, driven by broad-based adoption of the z14 mainframe.

Power revenues increased 10% from the year-ago quarter. The upside was mainly due to Linux and robust adoption across the latest POWER9-based architecture.

During the fourth quarter, IBM completed the launch of its next generation POWER9 processors for midrange and high-end systems that are designed for handling advanced analytics, cloud environments and data-intensive workloads in AI, HANA, and UNIX markets.

IBM too introduced current offerings optimizing both hardware and software for AI. Management believes that products relish PowerAI Vision and PowerAI Enterprise will help drive current customer adoption.

However, storage hardware revenues declined owing to weak performance in the mid-range end, partially offset by strong growth in each and every glisten Arrays. IBM stated that pricing pressure in the immensely competitive storage market is hurting revenues. The company announced its current FlashSystems with next generation NVMe technology during the reported quarter.

Operating Systems Software revenues declined 3%, while Systems Hardware slumped 23% from the year-ago quarter.

Finally, Global Financing (includes financing and used rig sales) revenues decreased 11% year over year and 9% at cc to $402 million.

Operating Details

Non-GAAP low margin remained unchanged from the year-ago quarter at 49.5%. The low margin benefited primarily by 190 basis points (bps) expansion in services margin. However, unfavorable fuse in IBM Z product cycle fully offset this expansion.

Operating expense declined 5.3% year over year, due to realization of acquisition synergies and improving operational efficiencies. IBM continues to invest in rapidly growing fields relish hybrid cloud, synthetic intelligence (AI), security and blockchain.

Pre-tax margin from continuing operations expanded 50 bps on a year-over-year basis to 23.1%.

Cognitive Solutions and Global commerce Services segment pre-tax margins expanded 290 bps and 520 bps, respectively, on a year-over-year basis. However, Technology Services & Cloud Platforms segment pre-tax margin contracted 20 bps.

Non-GAAP operating margins from continuing operations contracted 90 bps and came in at 20.3%.

Balance Sheet & Cash tide Details

IBM ended fourth-quarter 2018 with $11.99 billion in total cash and marketable securities compared with $14.70 billion at the discontinuance of third-quarter 2018. Total debt (including current portion) was $45.8 billion, down from $46.9 million from the previous quarter.

IBM reported cash tide from operations (excluding Global Financing receivables) of $7.3 billion and generated free cash tide of $6.5 billion in the quarter under review.

In the reported quarter, the company returned $3.5 billion to shareholders through dividends and share repurchases. The company returned more than $10 billion to shareholders through dividends and share repurchases for the plenary fiscal year.

At the discontinuance of the year, the company had $3.3 billion remaining under current buyback authorization.

Fiscal 2018 Highlights

IBM reported fiscal 2018 non-GAAP earnings of $13.81 per share, where as revenues came in at $79.6 billion, up 1% each year over year.

Revenues from Cognitive Solutions, Global commerce Services, Technology Services & Cloud Platforms, Systems and Global Financing came in at $18.48 billion, $16.82 billion, $34.46 billion, $8.03 billion and $1.59 billion, respectively.

Guidance

IBM expects non-GAAP EPS forecast for 2019 to be at least $13.90.

IBM still anticipates 2019 free cash tide of $12 billion.

How believe Estimates Been touching Since Then?

It turns out, fresh estimates flatlined during the past month.

VGM Scores

At this time, IBM has a subpar Growth Score of D, however its Momentum Score is doing a lot better with a B. Charting a more or less similar path, the stock was allocated a grade of A on the value side, putting it in the top quintile for this investment strategy.

Overall, the stock has an aggregate VGM Score of B. If you aren't focused on one strategy, this score is the one you should be interested in.

Outlook

IBM has a Zacks Rank #3 (Hold). They await an in-line revert from the stock in the next few months.

Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to procure this free report International commerce Machines Corporation (IBM) : Free Stock Analysis Report To read this article on Zacks.com click here. Zacks Investment Research


IBM Db2 Query Optimization Using AI | killexams.com true questions and Pass4sure dumps

In September 2018, IBM announced a current product, IBM Db2 AI for z/OS. This synthetic intelligence engine monitors data access patterns from executing SQL statements, uses machine learning algorithms to determine on optimal patterns and passes this information to the Db2 query optimizer for expend by subsequent statements.

Machine Learning on the IBM z Platform

In May of 2018, IBM announced version 1.2 of its Machine Learning for z/OS (MLz) product. This is a hybrid zServer and cloud software suite that ingests performance data, analyzes and builds models that delineate the health status of various indicators, monitors them over time and provides real-time scoring capabilities.

Several features of this product offering are aimed at supporting a community of model developers and managers. For example:

  • It supports multiple programming languages such as Python, Scala and R. This allows data modelers and scientists to expend a language with which they are familiar;
  • A graphical user interface called the Visual Model Builder guides model developers without requiring highly-technical programming skills;
  • It includes multiple dashboards for monitoring model results and scoring services, as well as controlling the system configuration.
  • This machine learning suite was initially aimed at zServer-based analytics applications. One of the first obvious choices was zSystem performance monitoring and tuning. System Management Facility (SMF) records that are automatically generated by the operating system provide the raw data for system resource consumption such as central processor usage, I/O processing, memory paging and the like. IBM MLz can collect and store these data over time, and build and train models of system behavior, score those behaviors, identify patterns not readily foreseen by humans, develop key performance indicators (KPIs) and then feed the model results back into the system to touch system configuration changes that can help performance.

    The next step was to implement this suite to resolve Db2 performance data. One solution, called the IBM Db2 IT Operational Analytics (Db2 ITOA) solution template, applies the machine learning technology to Db2 operational data to gain an understanding of Db2 subsystem health. It can dynamically build baselines for key performance indicators, provide a dashboard of these KPIs and give operational staff real-time insight into Db2 operations.

    While generic Db2 subsystem performance is an Important factor in overall application health and performance, IBM estimates that the DBA support staff spends 25% or more of its time, " ... fighting access path problems which antecedent performance degradation and service impact.". (See Reference 1).

    AI Comes to Db2

    Consider the plight of modern DBAs in a Db2 environment. In today's IT world they must support one or more spacious data applications, cloud application and database services, software installation and configuration, Db2 subsystem and application performance tuning, database definition and management, calamity recovery planning, and more. Query tuning has been in actuality since the origins of the database, and DBAs are usually tasked with this as well.

    The heart of query path analysis in Db2 is the Optimizer. It accepts SQL statements from applications, verifies authority to access the data, reviews the locations of the objects to be accessed and develops a list of candidate data access paths. These access paths can embrace indexes, table scans, various table relate methods and others. In the data warehouse and spacious data environments there are usually additional choices available. One of these is the actuality of summary tables (sometimes called materialized query tables) that hold pre-summarized or aggregated data, thus allowing Db2 to avoid re-aggregation processing. Another option is the starjoin access path, common in the data warehouse, where the order of table joins is changed for performance reasons.

    The Optimizer then reviews the candidate access paths and chooses the access path, "with the lowest cost." Cost in this context means a weighted summation of resource usage including CPU, I/O, memory and other resources. Finally, the Optimizer takes the lowest cost access path, stores it in memory (and, optionally, in the Db2 Directory) and begins access path execution.

    Big data and data warehouse operations now embrace software suites that allow the commerce analyst to expend a graphical interface to build and manipulate a miniature data model of the data they wish to analyze. The packages then generate SQL statements based on the users’ requests.

    The Problem for the DBA

    In order to enact kindly analytics on your multiple data stores you exigency a kindly understanding of the data requirements, an understanding of the analytical functions and algorithms available and a high-performance data infrastructure. Regrettably, the number and location of data sources is expanding (both in size and in geography), data sizes are growing, and applications continue to proliferate in number and complexity. How should IT managers support this environment, especially with the most experienced and age staff nearing retirement?

    Understand too that a great section of reducing the total cost of ownership of these systems is to procure Db2 applications to dash faster and more efficiently. This usually translates into using fewer CPU cycles, doing fewer I/Os and transporting less data across the network. Since it is often difficult to even identify which applications could profit from performance tuning, one approach is to automate the detection and correction of tuning issues. This is where machine learning and synthetic intelligence can be used to distinguished effect.

    Db2 12 for z/OS and synthetic Intelligence

    Db2 version 12 on z/OS uses the machine learning facilities mentioned above to accumulate and store SQL query text and access path details, as well as actual performance-related historical information such as CPU time used, elapsed times and result set sizes. This offering, described as Db2 AI for z/OS, analyzes and stores the data in machine learning models, with the model analysis results then being scored and made available to the Db2 Optimizer. The next time a scored SQL statement is encountered, the Optimizer can then expend the model scoring data as input to its access path preference algorithm.

    The result should be a reduction in CPU consumption as the Optimizer uses model scoring input to pick better access paths. This then lowers CPU costs and speeds application response times. A significant handicap is that using AI software does not require the DBA to believe data science skills or profound insights into query tuning methodologies. The Optimizer now chooses the best access paths based not only on SQL query syntax and data distribution statistics but on modelled and scored historical performance.

    This can be particularly Important if you store data in multiple places. For example, many analytical queries against spacious data require concurrent access to inescapable data warehouse tables. These tables are commonly called dimension tables, and they hold the data elements usually used to control subsetting and aggregation. For example, in a retail environment account a table called StoreLocation that enumerates every store and its location code. Queries against store sales data may wish to aggregate or summarize sales by Location; hence, the StoreLocation table will be used by some spacious data queries. In this environment it is common to grasp the dimension tables and copy them regularly to the spacious data application. In the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now mediate about SQL queries from both operational applications, data warehouse users and spacious data commerce analysts. From Db2's perspective, each and every these queries are equal, and are forwarded to the Optimizer. However, in the case of operational queries and warehouse queries they should most likely be directed to access the StoreLocation table in the warehouse. On the other hand, the query from the commerce analyst against spacious data tables should probably access the copy of the table there. This results in a proliferations of potential access paths, and more work for the Optimizer. Luckily, Db2 AI for z/OS can provide the Optimizer the information it needs to obtain smart access path selections.

    How It Works

    The sequence of events in Db2 AI for z/OS (See Reference 2) is generally the following:

  • During a bind, rebind, prepare or warrant operation, an SQL statement is passed to the Optimizer;
  • The Optimizer chooses the data access path; as the preference is made, Db2 AI captures the SQL syntax, access path preference and query performance statistics (CPU used, etc.) and passes it to a "learning task";
  • The learning task, which can be executed on a zIIP processor (a non-general-purpose CPU core that does not factor into software licensing charges), interfaces with the machine learning software (MLz Model Services) to store this information in a model;
  • As the amount of data in each model grows, the MLz Scoring Service (which too can be executed on a zIIP processor) analyzes the model data and scores the behavior;
  • During the next bind, rebind, prepare or explain, the Optimizer now has access to the scoring for SQL models, and makes commandeer changes to access path choices.
  • There are too various user interfaces that give the administrator visibility to the status of the accumulated SQL statement performance data and model scoring.

    Summary

    IBM's machine learning for zOS (MLz) offering is being used to distinguished upshot in Db2 version 12 to help the performance of analytical queries as well as operational queries and their associated applications. This requires management attention, as you must verify that your commerce is prepared to consume these ML and AI conclusions. How will you measure the costs and benefits of using machine learning? Which IT support staff must be tasked to reviewing the result of model scoring, and perhaps approving (or overriding) the results? How will you review and warrant the assumptions that the software makes about access path choices?

    In other words, how well enact you know your data, its distribution, its integrity and your current and proposed access paths? This will determine where the DBAs spend their time in supporting analytics and operational application performance.

    # # #

    Reference 1

    John Campbell, IBM Db2 Distinguished EngineerFrom "IBM Db2 AI for z/OS: Boost IBM Db2 application performance with machine learning"https://www.worldofdb2.com/events/ibm-db2-ai-for-z-os-boost-ibm-db2-application-performance-with-ma

    Reference 2

    Db2 AI for z/OShttps://www.ibm.com/support/knowledgecenter/en/SSGKMA_1.1.0/src/ai/ai_home.html

    See each and every articles by Lockwood Lyon


    DataKinetics Further Aligns With IBM z Systems Marketplace to Deliver Greater Value to Global Fortune 500 | killexams.com true questions and Pass4sure dumps

    OTTAWA, Ontario--(BUSINESS WIRE)--DataKinetics, the global leader in data performance and optimization solutions, officially announced today that it is once again expanding its offerings and alignment with the IBM z Systems™ Marketplace by delivering even greater value to global Fortune 500 IBM z Systems users. The company’s latest endeavor brings about a newly developed partnership agreement with SMT Data, a world leading Danish products and services company.

    The partnership between the two companies will further enable global Fortune 500 firms to receive increased value from their IBM z Systems investments—value that far transcends simple mainframe performance and optimization—while simultaneously extending DataKinetics’ attain and commitment into mixed-mainframe and distributed environments.

    The continued propel from DataKinetics to support the IBM z Systems Marketplace will provide customers with unique insights into their company’s entire complicated IT infrastructure, delivering information that is useful to each and every stakeholders and enabling the commerce and IT departments to obtain fact-based decisions more quickly.

    Complementing its official strategic partnerships with zCost Management, HostBridge, InSoft Infotel, and SQData, the partnership with SMT Data adds a current member to DataKinetics’ world-renowned mainframe company alliance of ISVs focused on driving greater value from their clients’ z Systems investments.

    “As a company that has been such an integral section of the global mainframe ecosphere—a legacy that has spanned 40 years—our strategic partnerships believe always been paramount to their success. Partners who are highly vetted and scrutinized to meet those standards that best delineate their Fortune 500 clients’ needs,” commented Allan Zander, CEO of DataKinetics. “It is for this judgement that they are so pleased to promulgate their partnership with SMT Data. Their expertise, product leadership, and longstanding relationships with other global Fortune 500 customers and IT systems integrators obtain them a impeccable fit. Together, the combined value that their respective companies can now bring to the industry will bring about a current era of possibilities for the mainframe world.”

    “The dedication that DataKinetics brings to delivering superior solutions to the Fortune 500 spoke volumes when forming their strategic partnership,” said Jan Vilstrup, CEO of SMT Data. “Their leadership in data access optimization and enduring relationships with the world’s top companies, coupled with their technical expertise, were transparent indicators that they uphold the same values as they do—ensuring customer success at every turn. Now, by combining their cloud and on-premises IT commerce Intelligence solutions with DataKinetics’ zSystems skills—the partnership represents an offering unmatched by any other vendor.”

    With the SMT Data partnership now official, together with the partnerships with zCost Management, SQData, HostBridge, and InSoft Infotel, Fortune 500 companies will be able to profit significantly from DataKinetics’ vast offerings.

    DataKinetics continues to work with its high-profile portfolio of clients, including three of the top five global banks, three of the top five global credit card companies, three of the top five American property and casualty insurance companies, and two of the top five American health insurance companies.

    For more information regarding DataKinetics’ partnership with SMT Data, or DataKinetics’ data performance and optimization solutions, tickle visit www.dkl.com.



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