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C9030-644 - IBM z Systems Technical Support V7 - BrainDump Information

Vendor Name : IBM
Exam Code : C9030-644
Exam Name : IBM z Systems Technical Support V7
Questions and Answers : 65 Q & A
Updated On : March 22, 2019
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C9030-644 exam Dumps Source : IBM z Systems Technical Support V7

Test Code : C9030-644
Test Name : IBM z Systems Technical Support V7
Vendor Name : IBM
Q&A : 65 Real Questions

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IBM IBM z Systems Technical

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

As agencies benefit from the benefits of expansion in hybrid environments, they additionally face new hurdles in security and scale. New additions to the IBM Cloud Hyper give protection to capabilities have been developed with these multicloud challenges in intellect, in line with Michael Jordan (pictured, right), individual 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 cell livestreaming studio, throughout the IBM believe experience in San Francisco. They discussed the brand new bulletins around IBM’s cloud functions and how the enterprise is leveraging legacy know-how for a far better hybrid providing. (* Disclosure beneath.)

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

Miniman: clarify what the information is.

Badlaney: Hyper protect is a family unit of functions in-built our IBM Cloud on our cloud-equipped systems, which can be the ZR1 techniques in a multi-zone kind element that provides the high-availability disaster healing. features we’re announcing at this convention [are] round crypto and key management, [which] provides the highest levels of protection for our cloud; facts as a carrier, which does smartly within the platform as a data serving platform; [and] virtual servers tied into our Kubernetes carrier. We’re bringing the breadth of our Z to our cloud.

Vellante: before allotted methods, you knew you had full visibility. have you been in a position to raise that level of transparency into the cloud?

Jordan: one of the vital key areas it really is a big center of attention for safety in the cloud is encryption, [it] is going to be a vital a part of being in a position to circulate facts to the cloud. Being able to deliver your personal secret is completely standard. one of the capabilities that we’ve had on the Z platform for a very long time basically lend themselves neatly to a cloud ambiance. Our cryptographic hardware may also be virtualized. each server i will be able to have 16 cryptographic cards with eighty five virtual domains per card. Multiply that out; it serves a cloud scale very smartly. in addition, the cryptographic hardware is designed to fulfill the maximum stage of security certification standards.

Vellante: What’s the company case for Hyper protect and Z as a provider?

Badlaney: It’s around data insurance policy. It’s around scale. It’s not a familiar fact, but truly our blockchain platform and all the success IBM’s had on blockchain has been working in our cloud on our Z methods over the last two years with 500-plus lines. those are the sort of workloads that advantage.

Miniman: evaluate and distinction how safety fits in Z versus public clouds.

Jordan: With Z we control a big portion of the stack, so we’re capable of integrate safety into varied layers of the stack. cozy provider containers are encrypted. You deploy an application, and these containers get encrypted in flight and at rest. And there’s no configuration, no install for that; it occurs automatically. We digitally signal and validate all of the firmware the operating system, the utility, the whole equipment that gets loaded into one of these environments.

Now we’re into that ambiance, and we [have] limited administrative access to evade administrators from having uncontrolled entry to the file device. considering that we personal that stack, we can in fact combine these protection capabilities vertically via that stack to supply the proper cost and the capabilities that you simply want within the cloud to offer protection to each the application and the data.

Vellant: talk a bit bit about the roadmap.

Badlaney: The legacy of Z has always being scaled efficiency, hyper security for the most regulated industries, for essentially the most compliant industries and our biggest organizations. That’s going to proceed within the subsequent era. We noted hyper preserving the public cloud, but we’re additionally increasing Kubernetes orchestration on-premise with our IBM Cloud private product being supported absolutely on LinuxONE and expanding it to Linux workloads and Z sequence workloads. Cloudification of the platform is the subsequent massive step for us.

Watch the comprehensive video interview under, and be sure to try extra of SiliconANGLE’s and theCUBE’s coverage of the IBM believe event. (* Disclosure:  IBM sponsored this segment of theCUBE. Neither IBM nor other sponsors have editorial handle over content on theCUBE or SiliconANGLE.)

picture: SiliconANGLE for the reason that you’re here …

… We’d like to let you know about our mission and the way which you can support us fulfill it. SiliconANGLE Media Inc.’s company mannequin is based on the intrinsic price of the content material, now not promoting. unlike many on-line publications, we don’t have a paywall or run banner promoting, because we are looking to retain our journalism open, devoid of have an effect on or the deserve to chase traffic.The journalism, reporting and commentary on SiliconANGLE — along with live, unscripted video from our Silicon Valley studio and globe-trotting video teams at theCUBE — take loads of hard work, time and funds. maintaining the excellent excessive requires the guide of sponsors who are aligned with our vision of advert-free journalism content.

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leading edge Integrity professionals At IBM Z methods Technical university | killexams.com Real Questions and Pass4sure dumps

LAS VEGAS, Nov. 7, 2017 /PRNewswire/ -- vanguard Integrity authorities, Inc., cybersecurity consultants  with cybersecurity options securing any business, is proud to be a silver sponsor and demonstrate at IBM z methods Technical tuition 2017 in Washington, D.C., November 13 - 17, 2017.  moreover, forefront cybersecurity specialists should be obtainable to discuss subject matters addressing the newest security and compliance concerns.  vanguard will highlight its security options demonstrating how they play a vital role preserving any business, cloud or IBM® z/OS® safety server ambiance.

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

IBM technical training hobbies are designed for technical development in IBM Z®, IBM power methods™ and IBM Storage.  The week is filled with skill-constructing sessions, palms-on labs, onsite certification trying out and a shiny solution middle. 

safety consultants from vanguard can be handy at IBM z programs Technical university 2017 to discuss the latest safety and compliance issues, traits and thoughts over the multi-day convention. We invite you to come by using our sales space within the solutions center within the Washington Hilton and meet with leading edge executives. 

About vanguard Integrity experts

forefront Integrity professionals gives enterprise security utility and features that clear up complicated safety and regulatory compliance challenges for economic, coverage, healthcare, schooling, transportation and govt groups all over the world. vanguard gives Cybersecurity options Securing any business.  the world's largest fiscal, assurance, government groups and marketers entrust their protection to forefront Integrity gurus.  leading edge is dedicated to protecting and securing the Cloud and any enterprise atmosphere.  leading edge gives 24/7/365 live consumer aid from the us of america.

IBM, the IBM emblem, IBM.com, IBM z, z techniques and z/OS are logos of international enterprise Machines enterprise registered in many jurisdictions within the u.s. and/or other nations worldwide.

 

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

source vanguard Integrity authorities, Inc.


IBM (IBM) Up 3.9% for the reason that ultimate revenue file: Can It proceed? | killexams.com Real Questions and Pass4sure dumps

A month has gone by due to the fact the closing earnings report for IBM (IBM). Shares have introduced about three.9% in that time body, underperforming the S&P 500.

Will the fresh effective style proceed leading up to its subsequent income liberate, 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 appear on the most contemporary profits file to be able to get a stronger address on the crucial drivers.

IBM this fall salary Beat Estimates, Revenues Decline Y/Y

international company Machines Corp delivered fourth-quarter 2018 non-GAAP revenue of $four.87 per share, which beat the Zacks Consensus Estimate of $4.81 per share. besides the fact that children, revenue per share (EPS) reduced 5.9% from the 12 months-ago quarter. The year-over-year decline in EPS can be attributed to higher tax cost.

Revenues of $21.seventy six billion had been pretty much according to the Zacks Consensus Estimate of $21.seventy four billion and declined three.5% on a yr-over-yr basis. At consistent currency (cc), revenues dipped 1%. The year-over-year decline can essentially be attributed to forex fluctuation and headwinds from IBM Z product cycle.

mainly, IBM pointed out that signings surged 21% on cc foundation to $15.8 billion. services backlog declined 1% yr over 12 months and got here in at $116 billion.

Geographic profits details

Revenues from Americas have been down 4%, reflecting the headwind from the IBM Z product cycle. youngsters, persevered growth in Latin the usa changed into a favorable.

Europe, core-East and Africa expanded 2% from the 12 months-ago quarter principally as a result of growth in Spain, Germany, Italy and the U.ok.

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

Strategic Imperatives growth Continues

Strategic Imperatives (cloud, analytics, mobility and security) grew 5% at cc from the yr-in the past quarter to $eleven.5 billion. apart from IBM Z product cycle have an effect on Strategic Imperatives grew 11% yr over 12 months.

security revenues surged 17% (except IBM Z product cycle have an impact on) and declined three% on cc foundation. On a trailing 12-month groundwork, Strategic Imperatives revenues were $40 billion, up 9%.

Cloud revenues surged 6% from the year-in the past quarter to $5.7 billion and 19% (apart from IBM Z product cycle have an effect on). The annual run rate for cloud as-a-service revenues improved 21% at cc on a year-over-year groundwork to $12.2 billion.

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

Cognitive Revenues Surge

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

Segmental revenues touching on Strategic Imperatives and Cloud elevated 9% and 5%, respectively. Cloud as-a-provider salary annual run rate become $2 billion.

solutions utility includes choices in strategic verticals like health, area-specific capabilities like analytics and security, and IBM’s emerging technologies of AI and blockchain. The section additionally comprises offerings that tackle horizontal domains like collaboration, commerce and talent. in the pronounced quarter, solutions utility revenues elevated 3% yr over 12 months.

IBM pointed out that the mixing of AI into choices like customer event analytics in commerce area helped SaaS signings to grow in double digit in the suggested quarter.

Transaction Processing utility includes software that runs mission-crucial workloads, leveraging IBM’s hardware platforms. Revenues have been up 1% on a 12 months-over-year foundation.

IBM witnessed boom in industry verticals like health, key areas of analytics and protection within the quarter. Watson health witnessed vast-based mostly increase in Payer, issuer, Imaging and life Sciences domains.

right through the fourth quarter, IBM accelerated partnership with Vodafone group. Per the deal, IBM’s advanced hybrid cloud platform, AI, information superhighway of issues (“IoT”) capabilities will aid Vodafone business with digital transformation initiatives.

IBM brought up that analytics carried out neatly in the quarter, pushed by means of records science choices and IBM Cloud inner most for information providing.

protection growth became driven by means of offerings in orchestration, facts safety and endpoint administration.

Story continues

In blockchain, IBM announced addition of a few new clients all through the quarter, which comprises “work with smart Dubai on the middle East’s first executive-counseled blockchain platform.” The company additionally unveiled an on-prem providing right through the stated quarter, the IBM Blockchain Platform for IBM Cloud inner most. several new deal wins is also assisting IBM to fortify its foothold in blockchain know-how.

international business features Revenues raise

Revenues from international company functions-exterior phase had been $4.3 billion, up 4% from the 12 months-ago quarter (up 6% at cc). The yr-over-yr enhance changed into primarily as a result of growth across all three enterprise areas namely consulting, utility administration and global manner services.

Segmental revenues referring to Strategic Imperatives grew 14%. Cloud apply surged 34%. Cloud as-a-carrier revenue annual run price become $2.1 billion.

utility administration revenues improved four% from the yr-in the past quarter. global procedure services revenues climbed 5%. moreover, Consulting revenues accelerated 10% year over year, pushed by way of powerful performance from IBM’s digital company.

expertise functions & Cloud systems: Revenues Dip

Revenues from know-how services & Cloud structures-external decreased 3% from the yr-ago quarter (flat at cc) to $eight.9 billion. Segmental revenues concerning Strategic Imperatives superior 13%, pushed via hybrid cloud services. Cloud surged 22% from the yr-in the past quarter. Cloud as-a-provider revenue annual run cost was $8 billion.

Integration software improved 4% from the 12 months-ago quarter. throughout the stated quarter, greater than a hundred organizations worldwide selected IBM Cloud deepest providing. Infrastructure functions revenues have been flat on a yr-over-year foundation.

Technical aid capabilities revenues diminished three% from the 12 months-in the past quarter.

vigour & z14 pressure systems Revenues

techniques revenues lowered 21% on a yr-over-12 months groundwork (down 20% at cc) to $2.6 billion, primarily because of have an effect on of the IBM Z product cycle. Segmental revenues pertaining to Strategic Imperatives plunged 22%, whereas Cloud revenues declined 31%.

IBM Z revenues lowered forty four% yr over year. besides the fact that children, MIPS ability has accelerated round 20%, pushed with the aid of vast-based adoption of the z14 mainframe.

power revenues extended 10% from the 12 months-ago quarter. The upside became in particular because of Linux and mighty adoption across the newest POWER9-based structure.

during the fourth quarter, IBM achieved the launch of its next technology POWER9 processors for midrange and excessive-conclusion systems that are designed for coping with superior analytics, cloud environments and information-intensive workloads in AI, HANA, and UNIX markets.

IBM additionally introduced new offerings optimizing both hardware and utility for AI. administration believes that products like PowerAI vision and PowerAI business will aid drive new customer adoption.

although, storage hardware revenues declined due to vulnerable efficiency in the mid-range conclusion, partly offset with the aid of strong growth in All Flash Arrays. IBM pointed out that pricing force in the immensely competitive storage market is hurting revenues. The company announced its new FlashSystems with subsequent generation NVMe expertise right through the said quarter.

working programs application revenues declined three%, while methods Hardware slumped 23% from the 12 months-ago quarter.

ultimately, international Financing (comprises financing and used gadget earnings) revenues decreased eleven% yr over year and 9% at cc to $402 million.

working details

Non-GAAP gross margin remained unchanged from the year-ago quarter at 49.5%. The gross margin benefited essentially through a hundred ninety foundation elements (bps) growth in capabilities margin. besides the fact that children, adverse mix in IBM Z product cycle totally offset this growth.

working rate declined 5.3% year over year, due to recognition of acquisition synergies and enhancing operational efficiencies. IBM continues to put money into swiftly transforming into fields like hybrid cloud, synthetic intelligence (AI), security and blockchain.

Pre-tax margin from carrying on with operations increased 50 bps on a 12 months-over-yr foundation to 23.1%.

Cognitive options and global company functions phase pre-tax margins elevated 290 bps and 520 bps, respectively, on a year-over-year groundwork. besides the fact that children, expertise features & Cloud platforms phase pre-tax margin contracted 20 bps.

Non-GAAP operating margins from continuing operations gotten smaller 90 bps and got here in at 20.3%.

steadiness Sheet & money flow particulars

IBM ended fourth-quarter 2018 with $11.99 billion in complete money and marketable securities compared with $14.70 billion at the end of third-quarter 2018. complete debt (including existing component) became $forty five.8 billion, down from $46.9 million from the previous quarter.

IBM pronounced cash move from operations (excluding world Financing receivables) of $7.3 billion and generated free cash move of $6.5 billion within the quarter beneath overview.

in the said quarter, the company returned $3.5 billion to shareholders through dividends and share repurchases. The company returned greater than $10 billion to shareholders via dividends and share repurchases for the whole fiscal yr.

at the end of the year, the enterprise had $three.three billion ultimate below latest buyback authorization.

Fiscal 2018 Highlights

IBM stated fiscal 2018 non-GAAP income of $13.eighty one per share, the place as revenues came in at $79.6 billion, up 1% each and every year over year.

Revenues from Cognitive options, world business services, expertise capabilities & Cloud platforms, techniques and global Financing came in at $18.forty eight billion, $sixteen.82 billion, $34.46 billion, $8.03 billion and $1.59 billion, respectively.

counsel

IBM expects non-GAAP EPS forecast for 2019 to be at least $13.ninety.

IBM nonetheless anticipates 2019 free cash stream of $12 billion.

How Have Estimates Been moving seeing that Then?

It turns out, fresh estimates flatlined all the way through the previous month.

VGM scores

at the present, IBM has a subpar growth ranking of D, however its Momentum rating is doing a lot enhanced with a B. Charting a a bit equivalent direction, the stock was allotted a grade of A on the cost aspect, putting it in the desirable quintile for this funding method.

usual, the inventory has an mixture VGM score of B. in case you aren't focused on one strategy, this score is the one you'll want to be drawn to.

Outlook

IBM has a Zacks Rank #three (hold). We are expecting an in-line return from the inventory within the next 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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    References :


    Box.net : https://app.box.com/s/x4f8yvjc9gc1d9opsn5lyjjmuq9tkio4
    zoho.com : https://docs.zoho.com/file/67jzb85e61f4d6b2e41f9a4f708b41c6f7dcd
    Calameo : http://en.calameo.com/books/004923526ec2323d2debf






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