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C9030-634 - IBM z Systems Technical Support V6 - BrainDump Information

Vendor Name : IBM
Exam Code : C9030-634
Exam Name : IBM z Systems Technical Support V6
Questions and Answers : 78 Q & A
Updated On : March 21, 2019
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C9030-634 exam Dumps Source : IBM z Systems Technical Support V6

Test Code : C9030-634
Test Name : IBM z Systems Technical Support V6
Vendor Name : IBM
Q&A : 78 Real Questions

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IBM IBM z Systems Technical

Q&A: IBM Z integrates legacy expertise for a much better multicloud | killexams.com Real Questions and Pass4sure dumps

As businesses enjoy the benefits of growth in hybrid environments, they also face new hurdles in protection and scale. New 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), amazing 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, all through the IBM consider experience in San Francisco. They discussed the brand new announcements around IBM’s cloud features and the way the business is leveraging legacy know-how for a higher hybrid offering. (* Disclosure below.)

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

Miniman: clarify what the news is.

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

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

Jordan: one of the crucial key areas it really is a large focal point for safety within the cloud is encryption, [it] goes to be a vital a part of being capable of flow 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. Our cryptographic hardware may also be virtualized. each server i will be able to have 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 our blockchain platform and the entire success IBM’s had on blockchain has been operating in our cloud on our 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 we handle a huge portion of the stack, so we’re able to integrate safety into assorted layers of the stack. comfortable service containers are encrypted. You deploy an software, and these containers get encrypted in flight and at leisure. And there’s no configuration, no deploy for that; it occurs automatically. We digitally signal and validate all 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 we [have] constrained administrative access to avoid directors from having uncontrolled entry to the file device. in view that we personal that stack, we can in reality combine those safety capabilities vertically via that stack to give the proper cost and the capabilities that you need 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 our biggest companies. That’s going to proceed in the next generation. We spoke of hyper keeping the public cloud, however we’re also increasing Kubernetes orchestration on-premise with our 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 big step for us.

Watch the complete video interview under, and make certain to try more of SiliconANGLE’s and theCUBE’s coverage of the IBM think event. (* Disclosure:  IBM subsidized this phase of theCUBE. Neither IBM nor different sponsors have editorial manage over content material on theCUBE or SiliconANGLE.)

picture: SiliconANGLE considering that you’re right here …

… We’d want to tell you about our 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, we don’t have a paywall or run banner advertising, as a result of we are looking to preserve our journalism open, with out influence or the need to chase traffic.The journalism, reporting and commentary on SiliconANGLE — together with reside, unscripted video from our Silicon Valley studio and globe-trotting video teams at theCUBE — take a lot of challenging work, time and funds. conserving the pleasant high requires the assist of sponsors who're aligned with our imaginative and prescient of ad-free journalism content.

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

LAS VEGAS, Nov. 7, 2017 /PRNewswire/ -- vanguard Integrity gurus, Inc., cybersecurity experts  with cybersecurity solutions securing any business, is proud to be a silver sponsor and display 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 function 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 development 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 answer 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. We invite you to return with the aid of our booth in the options center in the Washington Hilton and meet with forefront executives. 

About leading edge Integrity specialists

forefront Integrity specialists offers business safety software and services that solve complex 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 guide 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.

 

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

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

Will the contemporary superb trend continue leading as much as its subsequent revenue unencumber, or is IBM due for a pullback? earlier than we dive into how buyers and analysts have reacted as of late, let's take a brief seem to be on the most fresh revenue record in order to get a more robust address on the important drivers.

IBM this fall 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 Estimate 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 also be attributed to larger tax fee.

Revenues of $21.seventy six billion had been just about in keeping with the Zacks Consensus Estimate 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 foreign 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 have 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 increase in Spain, Germany, Italy and the U.ok.

Asia-Pacific revenues declined 1% on a yr-over-12 months groundwork with modest increase 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 have an impact on Strategic Imperatives grew eleven% year over year.

safety revenues surged 17% (apart from IBM Z product cycle have an impact 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 run 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 run fee changed into $2 billion.

solutions software contains choices in strategic verticals like fitness, area-specific capabilities like analytics and security, and IBM’s emerging technologies of AI and blockchain. The segment also comprises choices that address horizontal domains like 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 like customer experience 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 increase in business verticals like fitness, key areas of analytics and security in the quarter. Watson health witnessed vast-based increase 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 increase became pushed by means of choices in orchestration, records security and endpoint administration.

Story continues

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

global enterprise features Revenues boost

Revenues from global business services-exterior phase 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 increase throughout all 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 run 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 run expense changed into $8 billion.

Integration application expanded 4% from the year-in the past quarter. all through the suggested quarter, more than one hundred businesses all 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 affect 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 ability 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 amazing 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 new offerings optimizing each hardware and application for AI. administration believes that items like PowerAI vision and PowerAI enterprise will help drive new customer adoption.

despite the fact, storage hardware revenues declined due to weak efficiency within the mid-range conclusion, partly offset through mighty growth in All Flash Arrays. IBM brought up that pricing drive within the immensely competitive storage market is hurting revenues. The company introduced its new 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 gross margin remained unchanged from the yr-ago quarter at forty nine.5%. The gross margin benefited essentially by 190 groundwork points (bps) enlargement in features margin. however, unfavorable mix 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 like hybrid cloud, artificial 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 phase 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 old quarter.

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

within the pronounced quarter, the business 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 place 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 Have Estimates Been moving 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 little 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 make sure to be interested in.

Outlook

IBM has a Zacks Rank #three (hang). We expect an in-line return from the stock in the following few months.

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

A month has gone by since the last earnings report for IBM (IBM). Shares have 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 we dive into how investors and analysts have reacted as of late, let's take a quick look at the most recent earnings report in order to get a better handle on the important drivers.

IBM Q4 Earnings Beat Estimates, Revenues Decline Y/Y

International Business Machines Corp delivered fourth-quarter 2018 non-GAAP earnings of $4.87 per share, which beat the Zacks Consensus Estimate 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 Estimate 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 impact 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 run 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 artificial intelligence (AI).

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

Solutions Software includes offerings in strategic verticals like health, domain-specific capabilities like analytics and security, and IBM’s emerging technologies of AI and blockchain. The segment also includes offerings that address horizontal domains like 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 like customer experience 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 like 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 Business 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 new clients during the quarter, which includes “work with Smart Dubai on the Middle East’s first government-endorsed blockchain platform.” The company also unveiled an on-prem offering during the reported quarter, the IBM Blockchain Platform for IBM Cloud Private. Several new deal wins is also aiding IBM to strengthen its foothold in blockchain technology.

Global Business Services Revenues Increase

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

Segmental revenues pertaining to Strategic Imperatives grew 14%. Cloud practice surged 34%. Cloud as-a-service revenue annual run 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 run 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 impact 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 also introduced new offerings optimizing both hardware and software for AI. Management believes that products like PowerAI Vision and PowerAI Enterprise will help drive new customer adoption.

However, storage hardware revenues declined owing to weak performance in the mid-range end, partially offset by strong growth in All Flash Arrays. IBM stated that pricing pressure in the immensely competitive storage market is hurting revenues. The company announced its new 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 equipment sales) revenues decreased 11% year over year and 9% at cc to $402 million.

Operating Details

Non-GAAP gross margin remained unchanged from the year-ago quarter at 49.5%. The gross margin benefited primarily by 190 basis points (bps) expansion in services margin. However, unfavorable mix 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 like hybrid cloud, artificial 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 Business 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 Flow Details

IBM ended fourth-quarter 2018 with $11.99 billion in total cash and marketable securities compared with $14.70 billion at the end 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 flow from operations (excluding Global Financing receivables) of $7.3 billion and generated free cash flow 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 full fiscal year.

At the end 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 Business 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 flow of $12 billion.

How Have Estimates Been Moving 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 somewhat 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). We expect an in-line return from the stock in the next few months.

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

In September 2018, IBM announced a new product, IBM Db2 AI for z/OS. This artificial intelligence engine monitors data access patterns from executing SQL statements, uses machine learning algorithms to decide on optimal patterns and passes this information to the Db2 query optimizer for use 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 represent 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 use 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 affect system configuration changes that can improve performance.

    The next step was to implement this suite to analyze 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 general 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 cause 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 big data applications, cloud application and database services, software installation and configuration, Db2 subsystem and application performance tuning, database definition and management, disaster recovery planning, and more. Query tuning has been in existence 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 include indexes, table scans, various table join methods and others. In the data warehouse and big data environments there are usually additional choices available. One of these is the existence of summary tables (sometimes called materialized query tables) that contain 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 include software suites that allow the business analyst to use 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 do good analytics on your multiple data stores you need a good 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 mature staff nearing retirement?

    Understand also that a large part of reducing the total cost of ownership of these systems is to get Db2 applications to run 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 benefit from performance tuning, one approach is to automate the detection and correction of tuning issues. This is where machine learning and artificial intelligence can be used to great effect.

    Db2 12 for z/OS and Artificial Intelligence

    Db2 version 12 on z/OS uses the machine learning facilities mentioned above to gather 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 use the model scoring data as input to its access path choice algorithm.

    The result should be a reduction in CPU consumption as the Optimizer uses model scoring input to choose better access paths. This then lowers CPU costs and speeds application response times. A significant advantage is that using AI software does not require the DBA to have data science skills or deep 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 big data require concurrent access to certain data warehouse tables. These tables are commonly called dimension tables, and they contain the data elements usually used to control subsetting and aggregation. For example, in a retail environment consider 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 big data queries. In this environment it is common to take the dimension tables and copy them regularly to the big data application. In the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now think about SQL queries from both operational applications, data warehouse users and big data business analysts. From Db2's perspective, all 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 business analyst against big 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 make 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 explain operation, an SQL statement is passed to the Optimizer;
  • The Optimizer chooses the data access path; as the choice is made, Db2 AI captures the SQL syntax, access path choice 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 also 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 appropriate changes to access path choices.
  • There are also 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 great effect in Db2 version 12 to improve the performance of analytical queries as well as operational queries and their associated applications. This requires management attention, as you must verify that your business 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 justify the assumptions that the software makes about access path choices?

    In other words, how well do 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 all articles by Lockwood Lyon


    DataKinetics Further Aligns With IBM z Systems Marketplace to Deliver Greater Value to Global Fortune 500 | killexams.com real 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’ reach and commitment into mixed-mainframe and distributed environments.

    The continued push from DataKinetics to support the IBM z Systems Marketplace will provide customers with unique insights into their company’s entire complex IT infrastructure, delivering information that is useful to all stakeholders and enabling the business and IT departments to make 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 new 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 part of the global mainframe ecosphere—a legacy that has spanned 40 years—our strategic partnerships have always been paramount to our success. Partners who are highly vetted and scrutinized to meet those standards that best represent our Fortune 500 clients’ needs,” commented Allan Zander, CEO of DataKinetics. “It is for this reason that we are so pleased to announce our partnership with SMT Data. Their expertise, product leadership, and longstanding relationships with other global Fortune 500 customers and IT systems integrators make them a perfect fit. Together, the combined value that our respective companies can now bring to the industry will bring about a new era of possibilities for the mainframe world.”

    “The dedication that DataKinetics brings to delivering superior solutions to the Fortune 500 spoke volumes when forming our 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 clear indicators that they uphold the same values as we do—ensuring customer success at every turn. Now, by combining our cloud and on-premises IT Business 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 benefit 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, please visit www.dkl.com.



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