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000-SS1 - IBM Systems Software Sales Mastery V1 - Dump Information

Vendor : IBM
Exam Code : 000-SS1
Exam Name : IBM Systems Software Sales Mastery V1
Questions and Answers : 32 Q & A
Updated On : December 14, 2018
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000-SS1 Questions and Answers

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000-SS1 IBM Systems Software Sales Mastery V1

Study Guide Prepared by Killexams.com IBM Dumps Experts


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000-SS1 exam Dumps Source : IBM Systems Software Sales Mastery V1

Test Code : 000-SS1
Test Name : IBM Systems Software Sales Mastery V1
Vendor Name : IBM
Q&A : 32 Real Questions

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IBM IBM Systems Software Sales

IBM revenue misses as server, application revenue sluggish | killexams.com Real Questions and Pass4sure dumps

(Reuters) - IBM Corp said an even bigger-than-expected drop in revenue on Tuesday, hit by means of slowing application revenue and wavering demand for mainframe servers, pointing to a bumpy recuperation for the know-how capabilities giant it truly is in the middle of a turnaround.

FILE photograph: a symbol of IBM is considered on the mobile World Congress in Barcelona, Spain February 28, 2018. REUTERS/Yves Herman/File photo

Chief government Officer Ginni Rometty has been refocusing international business Machines Corp towards sooner-turning out to be cloud and analytics capabilities to decrease dependence on its normal hardware products and reverse years of income declines.

The Armonk, new york-primarily based enterprise’s ordinary earnings slipped 2 percent within the third quarter ended September, with just about all of its companies missing Wall highway’s earnings estimates.

salary at its methods unit, which includes mainframe servers and information storage systems offered to significant groups, climbed simplest 1 p.c, compared with a 25 % bounce within the old quarter.

sales increase of z14 mainframe servers, delivered about a yr ago, have slowed as valued clientele watch for the launch of new machines earlier than they improve.

IBM’s cognitive application company, which properties artificial intelligence platform Watson, analytics and cybersecurity capabilities, had sales of $four.15 billion, down 6 % from a year previous.

Seasonal factors affecting demand for software comparable to transaction processing structures damage revenue, IBM Chief fiscal Officer James Kavanaugh observed in an interview, adding that there have been signals demand was improving.

“we have a fine pipeline in transaction processing software as we enter the fourth quarter,” he stated.

IBM, which receives over 60 p.c of its earnings from backyard the USA, mentioned a better greenback also weighed on results.

The business observed it made $39.5 billion in revenue over the last twelve months from its “strategic imperatives” — excessive-increase agencies together with cloud services which are unfold throughout its divisions.

average salary slipped to $18.76 billion, missing analysts’ average estimate of $19.10 billion, in accordance with I/B/E/S information from Refinitiv.

net profits fell to $2.69 billion, from $2.seventy three billion a yr earlier. On a per-share foundation, earnings rose to $2.94 from $2.92 as a result of a lessen variety of astonishing shares.

with the exception of one-time gadgets, IBM earned $3.forty two per share, whereas analysts had anticipated $3.forty.

IBM shares had been down 4.7 percent to $138.29 in extended trading. The Dow part has fallen about eight % this 12 months.

Reporting by way of Pushkala Aripaka in Bengaluru; modifying by Sai Sachin Ravikumar


No, IBM didn't Overpay For pink Hat | killexams.com Real Questions and Pass4sure dumps

No result discovered, try new keyword!definitely, VMware (peculiarly backup and security software) runs on RHT. And VMW earnings have ... to compete with IBM. From RHT's 2017 year-conclusion 10K: "With respect to our operating gadget offerings ...

Cloudy climate ahead for IBM and purple Hat? | killexams.com Real Questions and Pass4sure dumps

the area is buzzing in regards to the application business’s greatest acquisition ever. This “video game altering” IBM acquisition of pink Hat for $34 billion eclipses Microsoft’s $26.2 billion of LinkedIn, which set the previous checklist. And it’s the third largest tech acquisition in heritage in the back of Dell buying EMC for $sixty four billion in 2015 and Avago’s buyout of Broadcom for $37 billion the same yr.

Wall street certainly receives nervous when it sees these lofty rate tags. IBM’s stock become down 4.2 p.c following the announcement, and there are doubtless greater issues over a broader IBM selloff round how a whole lot IBM is buying crimson Hat.

This units the stage for massive expectations on IBM to leverage this asset as a critical turning factor in its heritage. when you consider that IBM’s Watson AI poster baby has failed to create sustainable boom, might this be their best chance to right the ship once and for all? Or is this mega merger a sophisticated clash of cultures and items in order to make it complicated to recognise the complete talents?

big Blue’s been in massive difficulty

When the chips are down, it’s time to move all in. large Blue actually greatly surprised the know-how world when it announced it might do its biggest deal ever and purchase purple Hat for an enormous 11x top rate. The fact is that purple Hat turned into now not always trying to be got, so overpaying become the handiest manageable option. And if IBM didn’t pay, Google, Amazon, VMWare or even Alibaba would have.

determined times demand determined measures. IBM has been struggling to demonstrate increase in new markets for quite some time. before 2018, it had 22 straight quarters of profits decline. And it has misplaced over $28 billion in earnings during the last six years. Its revenue on the end if 2017 become $79.14 billion, the bottom in two decades and the more severe annual quantity seeing that 1997, when IBM revenues were $78.51 billion, apart from inflation.

In early 2018, IBM was in a position to produce three consecutive quarters of revenue increase, however that turned into specially due to the introduction of a new line of IBM Z mainframe computer systems.

IBM has been a business in decline for decades. It’s challenging to maintain a business with shrinking sales.

Too ancient to develop?

IBM is greater than 100 years ancient and definitely suffers from comparisons to more youthful and nimbler agencies such as Amazon, Google, fb, and Apple that have posted listing increase in contemporary times. Amazon’s fresh earnings have surpassed $2 billion, as an instance.

if you contrast IBM to Microsoft, another ancient world application enterprise, it’s startling to see the difference in how Microsoft has been capable of reposition itself as increase business in accordance with the cloud.

In 1990, when Microsoft unlock windows three.0, IBM had revenues of $sixty nine billion (simplest $10 billion shy of what it has these days), while Microsoft had around $800 million. Microsoft surpassed IBM in earnings in 2015 and crossed the $a hundred billion annual profits mark in 2018.

during the last a couple of years, as IBM’s income shrank, Microsoft invested in its “industrial cloud” business that encompasses Azure, workplace 365, and Dynamics 365, bringing in over $23 billion in new revenues. Microsoft has currently been firing on all cylinders whereas IBM experienced increase stalls.

slow to get to the cloud

IBM’s success within the hardware enterprise, chiefly it’s Z-series mainframes, forced it to protect its turf and distracted it from seeing the longer term affect of cloud. AWS begun offering public cloud features again in 2006. As late as 2011, IBM turned into barely bringing up the note “cloud” in its annual reviews or revenue calls. The enterprise ultimately realized in 2013 that cloud computing changed into the longer term and made a hail-Mary purchase of SoftLayer to bridge the gap, paying $2 billion after which investing an further $1 billion to integrate the platform.

It’s hard to establish significant market share should you’re late to the celebration. Softlayer’s worldwide market share remains a distant fifth at the back of AWS, Microsoft, Google, and even more energizing newcomer Alibaba, which handed IBM’s cloud revenues in June of 2018.

IBM made a few different cloud-linked acquisitions, together with Gravitant (a cloud brokerage and management application), Bluebox (a personal cloud as a carrier platform in keeping with OpenStack), Sanovi (a hybrid cloud restoration and migration application), Lighthouse and CrossIdeas (both cloud safety systems), and CSL overseas (a cloud virtualization platform).

regardless of these acquisitions in the cloud market, IBM has did not truly monetize these products and benefit market share in the cloud.

The enterprise has did not capitalize on improvements earlier than: Watson AI became on the exact of its video game when it debuted on Jeopardy in 2011 to beat human contestants however quickly fell behind Amazon, Google, and Microsoft.

Will purple Hat be the savior?

red Hat is the area’s biggest provider of open-source enterprise software solutions. crimson Hat’s bread and butter Linux enterprise continues to deliver growth specially because it powers many contemporary AI and analytics workloads. Its mannequin has advanced from basically on-premise to a fit subscription enterprise used on public cloud structures comparable to Amazon net services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

purple Hat has also accelerated into open middleware options corresponding to OpenStack, a cloud infrastructure platform, and OpenShift, a platform for managing application containers. OpenShift has long been a neatly-kept secret as Cloud Native Computing groundwork (CNCF) has grabbed most of the headlines with its Kubernetes container orchestration platform. IBM has a chance to leverage its advertising and marketing and world attain to encourage mainframe and legacy purchasers to undertake OpenShift. These platforms were particularly leveraged in inner most and hybrid cloud deployments, certainly in industries like telecommunications.

There isn't any doubt that purple Hat gives IBM a a whole lot greater credible cloud story. but the query truly is, is it too late?

The acquisition is actually respectable news for organizations trying to shift basic container-based mostly applications and virtual machines to the cloud. besides the fact that children, Amazon has already captured a significant part of that market.

while the acquisition of pink Hat gives IBM a strong place in the hybrid-cloud market, which will be everyday for organizations that are not taking the time to decommission or re-architect legacy purposes, the speedy-growing to be public cloud market might be the battleground of the long run.

Will the integration get messy?

IBM has had a spotty list when it comes to integrating and capitalizing on massive acquisitions.

while the vast majority of IBM’s M&A has been in the area of software, profits within the segment has been disappointing. most likely what is regarding is that adjusting for acquisitions, IBM’s application enterprise continues to say no — commonly due to the fact that these enormous acquisitions have develop into a part of the IBM cloth and company as typical.

Can IBM integrate something as big as pink Hat devoid of interfering with its core price proposition? Many concern that large Blue will attempt to “blue wash” their platform of option.

And there’s the query of whether these two diverse company cultures can come together – IBM, a slow growth company now not making plenty progress within the cloud area, and purple Hat, an ingenious, open source enterprise that is building foundational components for operating within the cloud.

We’ve viewed way of life clashes derail many different excessive profile mergers such as HP/Compaq, HP/Autonomy, Microsoft/Nokia, AOL/Time Warner, dash/Nextel and Alcatel/Lucent. IBM will should embody the open source group and method.

The joint enterprise will face important platform decisions on the cloud entrance. IBM has a public cloud that competes with AWS and Microsoft. but developers use crimson Hat’s Linux on many public clouds. whereas that multi-cloud strategy will help IBM herald salary across the public clouds, it will create battle with its personal Softlayer cloud providing. IBM has struggled to manipulate this class of channel and product battle effectively during the past.

after which there is the future of IBM’s personal AIX operating device vs. Linux — now not to point out the SCO-IBM Unix lawsuit nonetheless lingering in the courts.

also to word are the lesser customary purple Hat storage products like crimson Hat Ceph (an object file storage) and pink Hat Gluster (a NAS product). As red Hat integrates into IBM’s hybrid cloud neighborhood, these storage items should be separated from IBM, which could create confusion and battle.

So whereas IBM definitely faces loads of opportunity with the acquisition, there is no assure this massive bet will repay. IBM crucial a bold move. however within the short term, we are not likely to look any surprising movement of IBM’s position within the public cloud house. All eyes should be on its potential to catapult into the hybrid cloud market. For that, the enterprise will should make sure it doesn’t get in its own way.

Frank Palermo is the govt vice chairman at Virtusa’s world Digital company, the place he's accountable for technology practices in UX, mobility, social, cloud, analytics, massive facts, and IoT.


000-SS1 IBM Systems Software Sales Mastery V1

Study Guide Prepared by Killexams.com IBM Dumps Experts


Killexams.com 000-SS1 Dumps and Real Questions

100% Real Questions - Exam Pass Guarantee with High Marks - Just Memorize the Answers



000-SS1 exam Dumps Source : IBM Systems Software Sales Mastery V1

Test Code : 000-SS1
Test Name : IBM Systems Software Sales Mastery V1
Vendor Name : IBM
Q&A : 32 Real Questions

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I am very happy with the 000-SS1 QAs, it helped me lot in exam center. i will surely come for other IBM certifications also.


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20 startups take center stage at Berkeley SkyDeck’s demo day | killexams.com real questions and Pass4sure dumps

The largest-ever Berkeley SkyDeck demo day kicked off with a high-energy performance from the Cal marching band, setting the tone for an afternoon of presentations from none other than Berkeley faculty and students-turned-entrepreneurs.

Launched in 2012 as a modest accelerator for student-run businesses, SkyDeck has flourished since its inception. To date, the program has mentored 300 startups, which have gone on to raise $800 million via 27 funding rounds and 10 acquisition deals. Earlier this year, it raised a $24 million venture fund so it could finally seed participating startups with $100,000 in exchange for 5 percent equity. Today’s cohort is only the second to receive an investment from SkyDeck as part of the accelerator.

To participate in SkyDeck’s accelerator program, startups must have at least one founding member attending any of the University of California campuses as an undergraduate or graduate student. Faculty members are also able to apply, as are founders based outside the U.S. — as long as they bring on a Berkeley-enrolled co-founder or advisor upon arrival. Executive director Caroline Winnet said they plan to invest half that fund’s profits back into the university.

Lime, the bike- and scooter-sharing startup, is the biggest success story to emerge from SkyDeck. The company was created by Cal grads Toby Sun and Brad Bao, who were part of a 2017 SkyDeck cohort. Kiwi Campus, a robotics startup focused on last-mile delivery, and TDK-acquired Chirp Microsystems, are also SkyDeck graduates, as is the mental health startup Aura, which announced a $2.7 million financing just last week.

SkyDeck works with two cohorts of companies per year for six months each.

Here’s a look at the 20 startups that demoed for investors on Berkeley’s campus today:

PredictEV: Focused on the sports and esports market, PredictEV is a blockchain-powered social network for fans to share their predictions and earn cryptocurrency.

Researchably: Targeting medical research, pharma sales and outreach teams, the startup provides a research-based medical advice system.

Triton: A software platform that helps media companies tailor content to each individual reader or viewer. Triton is set to begin running pilots with Vanity Fair and The CW.

Predictim: An AI-powered platform that accesses a person’s trust and reliability. The purpose is to eliminate risk for members of the sharing economy. Basically, it will help you figure out if your dog-walker is a murderer.

Seamless Microsystems: Designs and manufactures semiconductor chips for consumer medical imaging, 5G networking LIDAR in autonomous driving and more.

SoftRides: Using AI and a smartphone’s image sensor to detect distracted driving behavior and alert you in real time.

Eye Level.AI: Founded by a group of former IBM Watson employees, Eye Level.AI provides an analytics-driven platform to assist chatbot owners to monetize current users and attract new ones.

Eye Level.AI

Perfect Dashboard: An AI-powered online marketplace for connecting SaaS products to small businesses.

The SMBX: A provider of a mobile marketplace that connects small businesses with people interested in investing in them.

Chameleon Biosciences: A startup focused on revolutionizing gene therapy to treat rare diseases.

ThinkCyte: The company has invented new imaging technology combined with machine learning, called Ghost Cytometry, to analyze and isolate cells for drug discovery, cell therapy and clinical diagnostics.

Snipfeed: With 44,000 weekly active users, Snipfeed helps Generation Z mobile users avoid misinformation online with its AI-powered news and information recommendation engine.

DropEx: A business networking app and relationship management system.

Peanut Robotics: The startup’s consumer-facing robot can grip household items to assist with cleaning at hotels, offices and airports.

Empire Biotechnologies: The company is developing therapies for gastrointestinal issues, specifically short bowel syndrome. Empire’s drug is used to control the absorption of nutrients through the digestive system.

Humm: A developer of wearable cognitive performance enhancement hardware created by a group of researchers at the University of Western Australia.

CoolJamm: An automated music producer and recommendation engine that uploads directly to YouTube.

Bungee: Led by three former Amazon employees, Bungee helps e-commerce businesses mine geo-specific data to create a recommendation engine for price, promotions and inventory.

SimpleDataLabs: The creator of Prophecy, a predictive analytics platform focused on business analysts and executives.

Skyloom: The company wants to improve space-to-Earth communications and unlock “the true economic potential of low Earth orbit” with its spaceborne infrastructure.


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No result found, try new keyword!In 2012, the company made it clear it wants to focus on high value segments with fatter profit margins and earn 50% of sales from software development ... will have a significant positive impact on IB...

The problem with analytics | killexams.com real questions and Pass4sure dumps

IBM-Bigdata-Analytics

There is a difference between knowledge and understanding. Knowledge typically comes down to knowing facts while understanding is the application of knowledge to the mastery of systems. You can know a lot while understanding very little. Just as an example, IBM’s Watson artificial intelligence system that defeated the TV Jeopardy champs a few years ago knew all there was to know about Jeopardy questions but didn’t really understand anything. Ask Watson to apply to removing your appendix its knowledge of hundreds of medical questions and you’d be disappointed and probably dead. That’s the problem with most analytics, which is why it can be a hard sell.

The answer to this problem, we’re told, is not just machine learning but Deep Machine Learning, the difference between the two being that plain old machine learning is a statistical process that could be (and used to be) replicated by hand, while the deeper variety looks several generations deep in a longitudinal analysis that quickly grows too big for mere mortals to comprehend. Deep machine learning will, theoretically, find all the interconnections and dependencies that until now we’ve had to rely on domain experts to provide, yet even then it can only happen if you happen to be gathering the right data.

With regular machine learning, when IBM talks about Watson looking inside your business and finding answers, well that can only really happen if a few PhDs are attached to the software. But with deep machine learning the idea is that the machine can do it all. No PhDs required, which would be quite a breakthrough. And so all the big companies fighting over the future of IT are building new circuits -- hardware -- for deep machine learning. Google and IBM have made recent announcements about theirs. Microsoft told me a couple weeks ago that they have similar hardware working in their lab. It’s a space race.

And it’s also at least five years from being real on any commercial scale.

Until deep machine learning is common and fast we’ll be stuck with more mundane analytics. So no, Watson isn’t going to be crunching your company numbers soon and spitting out the right answers or even the right questions to ask. We’re simply not there yet.

Which brings us to a curious thing happening at IBM. Not closing the I.M. Pei-designed lab in Somers, New York that was announced last week. That campus has been half-empty for years. Nor am I talking about the continuation of IBM’s brutal GTS layoffs, which reportedly killed another 14,000+ IBM jobs last week. What I am talking about here is the reorganization of IBM’s analytics business unit that was announced internally two weeks ago. You won’t find a news story about it… until now.

The analytics reorg labelled "One Team, One Platform" wasn’t technically a Resource Action (forced layoff). It was explained as a streamlining of business processes to improve efficiency. Citing similar moves at Google, IBM’s analytics group would no longer have employees working from home and the number of official analytics office locations worldwide would decrease from 200 to 30. People will soon be working and meeting physically together, some of them for the first time. This is good, right?

Yet the reorg is wildly unpopular within the ranks for one important reason: If for some reason affected IBMers need to keep working from home or they can’t or won’t move to their designated IBM office location, well then they are deciding to quit in the view of IBM, which means they are out of the company with no severance -- no package.

Analytics general manager Rob Thomas, who announced the reorg, has been uniformly described to me by IBMers from that division as "an idiot", which may be some internal IBM technical term, I don’t know.

The reorg, which tellingly requires some orthodox Jewish IBMers working in Israel to reverse history and relocate to either Germany or Poland, will inevitably result in a significant reduction in head count yet not have to be accounted for as one. These are stealth layoffs.

Remember that the future of IBM is supposed to be all about CAMSS (cloud, analytics, mobile, security, social) and analytics is the A in CAMSS. In one moment IBM says analytics is strategic, that they are investing and hiring in the area, yet at the same time the company is taking actions that will inevitably lead to the loss of at least some employees who are vital to the unit.

It’s the blindness of this reorg that amazes me. Heads will go no matter what, but in this case the specific heads won’t be decided by the company but by the workers, themselves. The best workers will be the most employable and therefore the quickest to go. If analytics is so strategic how can IBM allow that to happen?

I believe I know what’s happening here. Years of layoffs and unfilled positions at IBM mean that pretty much everyone remaining who isn’t in management is already very good at their jobs. There is no more fat to cut. So why not leave it up to the employees, themselves, especially if the gambit will result in very low separation expenses?

It is unlikely that any of the IBMers who are lost in this reorg will be replaced. Rather, as has become the norm at IBM in recent years, those who are left will be expected to pick up the slack.

Yes, but what about CAMSS? What about analytics being so strategic to the future of IBM?

In order to understand that we have to also understand who is IBM’s customer. Peter Drucker wrote that the purpose of the corporation is "to find a customer". Well who is IBM’s customer if the company is effectively cutting one of the divisions it is relying upon for future growth?

IBM’s customer is Wall Street.

IBM’s products are earnings-per-share, dividends, and share buy-backs, not hardware, software or computer services.

This morning I took a quick look at IBM‘s 1Q16 statement. It was interesting what was stated, how it was stated, and what was not stated. They signed $4.2 billion in Analytics and $2.6 billion in Cloud business. The rest of CAMSS was puny. If Analytics is doing better than the rest, why mess with it? How many billions have they spent to make $11 billion a year on cloud?

IBM has mostly reported revenue. Part of the company’s sales culture, it is what you sign in deals that matters. But how much profit is each division making? That is how most companies are managed. IBM‘s big money maker is services and that is losing business. IBM wants to keep Wall Street off the scent and keeping reported earnings up is critical. So they’re cutting deep with no severance. This is all about buying time until the new business gains traction. However if the new business doesn’t make as much profit, that is going to be a big problem.

This is a very scary gamble for IBM.

What this analytics reorg means is that IBM can’t see a way to reach its near-term Wall Street product objectives without cutting heads in analytics. The division was built up in anticipation of certain sales and profit targets, those targets have not been reached, so IBM will cut expenses until the numbers look right. Forget that this reorg will actually result in less -- not more -- work being done. Forget that it makes even less likely IBM achieving its goals for analytics. Forget all of that.

What it means is the A in CAMSS has already failed. That’s my understanding.



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IBM 000-SS1 Exam (IBM Systems Software Sales Mastery V1) Detailed Information



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