C2090-558 thinking - Informix 11.70 Fundamentals Updated: 2024 | ||||||||
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Exam Code: C2090-558 Informix 11.70 Fundamentals thinking January 2024 by Killexams.com team | ||||||||
C2090-558 Informix 11.70 Fundamentals Exam Code : C2090-558 Exam Name : Informix 11.70 Fundamentals Number of questions: 60 Number of questions to pass: 38 Time allowed: 90 mins Status: Live The test contains six sections totalling approximately 60 multiple-choice questions. The percentages after each section title reflect the approximate distribution of the total question set across the sections. Section 1 - Planning and Installation 16% Identify data access restrictions Describe database workloads Describe data type concepts for database planning Demonstrate knowledge of how to configure and install Informix Demonstrate knowledge of embeddability considerations and the deployment utility Section 2 - Security 3% Demonstrate knowledge of authentication Demonstrate knowledge of authorizations Section 3 - DBMS Instances and Storage Objects 14% Describe how to identify and connect to Informix servers and databases Demonstrate knowledge of how to create and configure storage objects Demonstrate general knowledge of the system databases and database catalogs Section 4 - Informix Tables, Views and Indexes 15% Given a scenario, describe how to create a table Describe when referential integrity should be used Describe methods of data value constraint Describe the differences between a table, view, sequences, synonyms, and indices Describe triggers and appropriate uses Demonstrate knowledge of schema commands Section 5 - Informix Data using SQL 14% Describe how to use SQL to SELECT data from tables Describe how to use SQL to UPDATE, DELETE, or INSERT data Demonstrate knowledge of transactions Describe how to call a procedure or invoke a user defined function Section 6 - Data Concurrency and Integrity 10% Identify isolation levels and their effects Identify objects on which locks can be obtained Describe transaction integrity mechanisms Section 7 - Tools and Utilities 15% Describe onstat, oninit, and onmode utilities Demonstrate knowledge of data movement utilities Describe sysadmin database and its functionality Demonstrate knowledge of the features or functions available in Informix tools Section 8 - Backup and Restore 8% Demonstrate knowledge of backup procedures Demonstrate knowledge of recovery procedures Section 9 - Replication Technologies 5% Describe the purpose of the different replication technologies | ||||||||
Informix 11.70 Fundamentals IBM Fundamentals thinking | ||||||||
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C2090-558 Dumps C2090-558 Braindumps C2090-558 Real Questions C2090-558 Practice Test C2090-558 dumps free IBM C2090-558 Informix 11.70 Fundamentals http://killexams.com/pass4sure/exam-detail/C2090-558 Question #110 What is true about poll threads? A. poll threads always run on a CPU vp B. poll threads always run on a NET vp C. poll threads always run on an ADM vp D. poll threads can be configured on a CPU or NET vp Answer: D Question #111 Which database contains the system-monitoring interface (SMI) tables which provide information about the state of the database server? A. sysutils B. sysstate C. sysmaster D. sysmonitor Answer: C Question #112 Which two storage objects exist in Informix? (Choose two.) A. dbspace B. flash space C. smart rowspace D. smart blobspace E. encrypted space Answer: AD Question #113 Which of the following is true about the remote query SELECT * FROM ABC@LMN:XYZ? A. SELECT from table ABC at database LMN on server XYZ B. SELECT from table ABC at server LMN on database XYZ C. SELECT from table LMN on database ABC on server XYZ D. SELECT from table XYZ on database ABC at server LMN Answer: D Question #114 You create a table with the statement shown below: CREATE TABLE foo(col INTEGER) In which dbspace will the table reside? A. in a temporary dbspace B. in the default dbspace that is defined in onconfig C. in the dbspace where the current database was created D. in the dbspace specified by the IFX_DBSPACE environment variable Answer: C Question #115 You received an error, "Chunk is not empty", while trying to remove a chunk. How do you verify which objects still occupy space in the chunk? A. onspaces B. onmonitor C. oncheck -pe D. SELECT * from SYSTABLES Answer: C Question #116 Which of the following statement is true of System Monitoring Interface (SMI) tables? A. SMI tables store database structures. B. Contains tasks used by the database scheduler C. SMI tables are also known as System Catalog tables D. Contains tables that the database server maintains automatically Answer: D Question #117 Which of the following statement is correct about Shared Disk (SD) secondary servers? A. SD secondary servers support automatic index repair B. SD secondary servers use paging files to track pages between checkpoints C. SD secondary servers require an HDR secondary server to be present in order to function D. SD secondary servers can become a High-Availability Data Replication (HDR) secondary server Answer: B Question #118 Which technology can be used to execute Data Definition Language (DDL) command across multiple instances? A. Flexible Grid B. Enterprise Replication C. High Availability Cluster D. High Availability Data Replication Answer: A Question #119 What is the lowest level of granularity supported by Enterprise Replication? A. column B. instance C. database D. fragment Answer: A Question #120 Which of the following Informix server modes disable execution of SQL statements for all users while allowing administrative users to perform maintenance tasks? A. Offline B. On-Line C. Quiescent D. Administrative Answer: C For More exams visit https://killexams.com/vendors-exam-list Kill your exam at First Attempt....Guaranteed! | ||||||||
Published 01-04-24 Submitted by IBM IBM's AI Fundamentals program is built inside of its SkillsBuild learning portal. The credential takes about ten hours to complete, across six courses. Because I have had a long interest in AI ethics (I did a thesis on AI ethics way back in the day), I took the AI ethics class. It was good. It discussed the challenge of balancing technology with ethical responsibility. Key topics included the five pillars of AI ethics, the importance of fairness and avoiding bias, and the need for AI systems to be transparent, explainable, and robust against attacks. The session also emphasized governance, the protection of personal data, and the significance of privacy through data minimization and differential privacy. Continue reading here IBMIBMInnovation – joining invention and insight to produce important, new value – is at the heart of what we are as a company. And, today, IBM is leading an evolution in corporate citizenship by contributing innovative solutions and strategies that will help transform and empower our global communities. Our diverse and sustained programs support education, workforce development, arts and culture, and communities in need through targeted grants of technology and project funds. To learn more about our work in the context of IBM's broader corporate responsibility efforts, please visit Innovations in Corporate Responsibility. More from IBM In the ever-evolving landscape of technology, few names have carried as much historical weight as International Business Machines Corporation (NYSE:IBM). However, behind its legacy and stature hides a company that has recently grappled with leveraging potential from seismic shifts in the tech industry, including cloud computing and AI, struggling to keep pace with more agile, innovative counterparts like Google (GOOG) and Microsoft (MSFT). Trading at an implied 2024 EV/EBIT of around 18x, paired with negative fundamental and competitive momentum, I view IBM as overvalued and not suited for growth investment. According to my EPS projections for the company through 2025, in combination with a 9% cost of equity and a 3% terminal growth rate, IBM shares should be fairly valued at around $134. With neither IBM's momentum in business fundamentals nor valuation being supportive for an investment, I view the company as a "Sell". For context, IBM stock has underperformed the broad equities market YTD, especially when compared to the "Tech" benchmark. Since the start of the year, IBM shares are up less than 15%, compared to a gain of approximately 23% for the S&P 500 (SP500) and a gain of close to 53% for the Nasdaq tech-heavy Nasdaq 100 (QQQ). Steady Revenue Loss And Earnings ContractionReflecting on IBM's historical performance, I cannot help thinking about the famous Warren Buffett quote: "Time is the friend of the wonderful company, the enemy of the mediocre." During the past decade, IBM has lost about one-third of its top line, with revenues falling from $96 billion in FY 2013 to $60.4 billion for the trailing twelve months, a negative CAGR of about 4.5%. The loss of top line is especially negative in the context of the company's active M&A activity during the discussed period:
The loss of top line is also reflected in earnings. Over the past decade, IBM's operating profit contracted to $9.2 billion for the trailing twelve months, compared to $21 billion achieved in FY 2013 (-8% CAGR). Meanwhile, IBM's net debt increased from $28.7 billion in 2013 to $47.5 billion as of Q3 2023. The total balance sheet grew from $126.2 billion to $129.3 billion, with outsized growth attributed to Goodwill and Other Intangibles. In other words, IBM is consuming more capital without increasing earrings - almost the picture-book definition of a bad business, in my opinion. Low Competitiveness Suggests Continued UnderperformanceIBM's fundamental performance has been catalysed by several challenges that unfortunately do not appear to be fading away anytime soon. Firstly, I point out that IBM has historically been relatively slow in adapting to market trends. And this is not just a question of ambition or management. In fact, while the company has made efforts to pivot toward growth areas like cloud computing and AI, the company has faced challenges in attracting equally-competitive human capital and partnership opportunities as Microsoft or Google. Moreover, investors should consider that IBM's legacy business is anchored on hardware and on-premise enterprise software, a backdrop that is less nimble and agile to adapt to the changing, cloud-based software landscape. This challenge is compounded by intense competition from super-successful tech players. Lastly, some market participants have frequently criticized IBM for execution issues in implementing its strategic initiatives such as delays or inefficiencies in integrating acquisitions, transforming business models, or delivering on growth promises that have affected investor confidence. Admittedly, IBM has undergone quite a significant business shift recently, especially after the Kyndryl spin-off, directing its attention toward two primary growth drivers: Hybrid Cloud and AI. This strategic transformation positions IBM to achieve its long-term financial goals, with a substantial 75% of its revenue now stemming from Software and Consulting. That said, however, IBM still remains a structural loser vs Microsoft, Amazon, Google, and other tech giants. According to Morgan Stanley's 3Q23 CIO Survey (dated October 9th), the U.S. most important technology-related decision makers expect that their spending on IBM's Red Hat (cloud) will decrease about 9% over the next 3 years. All that said, IBM is seeing negative momentum on consensus EPS expectations, with earnings estimates trending downward for over 3 years now. Valuation: Set TP At $134/ShareIn my opinion, companies with steady and relatively predictable business fundamentals like IBM are quite easily and precisely valued with a residual earnings model, which anchors on the idea that a valuation should equal a business' discounted future earnings after capital charge. As per the CFA Institute:
With regard to my IBM stock valuation model, I make the following assumptions:
Given these assumptions, I calculate a base-case target price for IBM stock of about $134/share. As I argued that my estimates for growth and equity charges may be conservative, I acknowledge that investors may hold varying assumptions regarding these rates. Therefore, I've included a sensitivity table to test different scenarios and assumptions. See below. Upside RisksI am bearish on IBM stock. However, there may be a few "upside risks" that may render IBM's negative momentum and valuation less notable. Specifically, I highlight that a strengthening global GDP outlook could stimulate increased IT spending, especially in segments like Consulting and Software, exerting upward pressure on consensus EPS estimations and bolstering IBM's financial outlook. Moreover, while I do not think IBM has significant potential for industry-leading innovation and software commercialization, IBM's ongoing product transition toward cloud and AI may nevertheless present an opportunity for R&D upside and renewed customer interest. Investor TakeawayIBM has struggled to leverage potential from shifts in the tech industry, falling behind and losing share vs. more agile competitors like Google and Microsoft. As a consequence, the company has experienced steady revenue loss and earnings contraction over the past decade, despite active M&A activity. With challenged fundamentals, trading at an implied 2024 EV/EBIT of around 18x, I view IBM as overvalued. According to my EPS projections for the company through the next 3 years, paired with a 9% cost of equity and a 3% terminal growth rate, IBM shares should be fairly valued at around $134. "Sell". IBM looks to be a part of every aspect of an enterprise’s IT needs. The company primarily sells software, IT services, consulting, and hardware. IBM operates in 175 countries and employs approximately 350,000 people. The company has a robust roster of 80,000 business partners to service 5,200 clients—which includes 95% of all Fortune 500. While IBM is a B2B company, IBM’s outward impact is substantial. For example, IBM manages 90% of all credit card transactions globally and is responsible for 50% of all wireless connections in the world. Cultivating critical thinking skills should be a top priority for any business that wants to succeed in today’s complex and rapidly changing world. According to the World Economic Forum, “analytical thinking, creativity, and flexibility will be among the most sought-after skills” by 2025, yet few companies invest in such training. Critical thinking is an essential skill that enables individuals to analyze, evaluate, and synthesize information to make informed decisions. In today's fast-paced, complex, and dynamic work environment, critical thinking is more critical than ever before. It is crucial for organizations to prioritize critical thinking skills among their employees to make well-informed decisions and stay ahead in the competitive market. Rapid technological advancements, globalization, and economic uncertainties have created complex challenges for most businesses. Critical thinking skills are essential to successfully navigating this complexity and uncertainty. Critical thinkers can examine challenges and opportunities three-dimensionally in the broader business context, and they can analyze relevant information to develop a plan of action to address it. Critical thinking enables employees to consider multiple perspectives and potential outcomes of different decisions, leading to better choices that are more likely to succeed. The ability to evaluate information, data, and facts is important in making informed decisions. Employees who lack basic critical thinking skills may be prone to making decisions based on assumptions, biases, or incomplete information. That often leads to poor decisions. On the other hand, employees who possess critical thinking skills are better equipped to weigh options, analyze the pros and cons of each decision, and make decisions based on factual and reliable information. Such decisions can lead to better outcomes for the organization, resulting in improved productivity, increased revenue, and better customer satisfaction. In addition to decision making, critical thinking is also essential to problem solving – a key capability for leaders every level. In the workplace, issues can arise at any time, and managers must be able to identify, analyze and address these problems quickly and efficiently. Critical thinking skills can help leaders identify the root cause of the problem and evaluate different options to solve it. This process can lead to innovative and effective solutions to complex problems that may have otherwise been overlooked or dismissed. Finally, critical thinking is vital for effective communication in the workplace. Employees who can analyze and evaluate information can communicate it effectively to their colleagues and superiors. Critical thinking skills enable employees to articulate their ideas, share their opinions, and offer constructive feedback, leading to improved collaboration and team productivity. Employees who lack critical thinking skills may struggle to communicate their thoughts effectively, leading to misunderstandings, miscommunication, and conflicts. Businesses of every size must prioritize the development of these skills among their employees to enable them to make informed decisions, solve complex problems, and communicate effectively. The cultivation of critical thinking skills in the workplace requires investment in training and development programs that equip employees with the necessary tools and techniques to analyze and evaluate information effectively. But the result will be a more efficient, innovative, and productive workforce that can navigate complex challenges and drive success for the organization. To save content items to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle. Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply. Find out more about the Kindle Personal Document Service. Long before ChatGPT blasted onto the scene and sucked all the air out of the room, there was IBM Watson. Watson itself blasted to fame when, in 2011, it beat reigning champion Ken Jennings on the TV game show Jeopardy. Fun fact: ZDNET's own Steven J. Vaughn-Nichols was once a clue on Jeopardy. Anyway, back to our story. My point is that IBM has a long history with AI and has not been sitting still. Its generative AI solution is called Watsonx. It focuses on enabling businesses to deploy and manage both traditional machine learning and generative AI, tailored to their unique needs. Also: AI in 2023: A year of breakthroughs that left no human thing unchanged I'm telling you this because if any company has the cred to offer a credential on AI fundamentals, it's IBM. IBM's AI Fundamentals program is built inside of its SkillsBuild learning portal. The credential takes about ten hours to complete, across six courses. Because I have had a long interest in AI ethics (I did a thesis on AI ethics way back in the day), I took the AI ethics class. It was good. Also: I fact-checked ChatGPT with Bard, Claude, and Copilot - and it got weird It discussed the challenge of balancing technology with ethical responsibility. Key topics included the five pillars of AI ethics, the importance of fairness and avoiding bias, and the need for AI systems to be transparent, explainable, and robust against attacks. The session also emphasized governance, the protection of personal data, and the significance of privacy through data minimization and differential privacy. When I originally wrote this in early December 2023, I said "I'll probably take the rest of the courses over the holiday break." I did, indeed, do that. I'll share some of my experiences, along with answering a few reader questions, at the end of this article. To get started, create a free account on IBM's SkillsBuild learning portal. All of the following links to IBM's free AI courses require you to have created that account and logged in before you'll be able to use them. Artificial Intelligence Fundamentals Learning Plan: In this learning plan, you'll explore AI's history, and then see how it can change the world. Along the way, you'll deep dive into ways that AI makes predictions, understands language and images, and learns using circuits inspired by the human brain. After a hands-on simulation in which you build and test a machine-learning model, you'll finish with tips on how to find your career in AI. Introduction to Artificial Intelligence (1 hour 15 mins): Less than a century old, AI has already undergone three waves of transformative development. Today it gives humanity the most powerful tools for analyzing complex data, not only to find meaning but also to learn without human intervention. In this course, you'll survey AI's history and explore ways that it can shed light on unstructured data. Natural Language Processing and Computer Vision (1 hour 30 mins): You might already know that some AI systems can understand human language, identify visual images, and even create original art. But do you know how these systems do it? In this course, you'll explore the theory of natural language and vision processing and learn how these technologies drive real-world mechanisms such as chatbots and photo analysis. Machine Learning and Deep Learning (2 hours): In this course, you'll see how machines can learn and make amazing, evidence-based predictions. Explore the logic behind computers' ability to learn, then investigate new ways that AI systems inspired by neurons in the human brain can solve difficult problems. Run AI Models with IBM Watson Studio (1 hour and 45 mins): In this course, you'll practice creating an AI machine learning model in a series of simulations, using IBM Watson Studio. This is hands-on time that can help you do actual work with AI. AI Ethics (1 hour and 45 mins): You might have heard about problems that arise when AI systems misinterpret data or propose solutions that reflect human prejudice. This is the course I talked about above. Through real-world examples you'll learn about AI ethics, how they are implemented, and why AI ethics are so important in building trustworthy AI systems. Your Future in AI: The Job Landscape (1 hour): Are you considering a career in AI? In this course, learn about the AI job market's rapid growth and the skills needed for success in this exciting field. You'll hear how real professionals got their start, and find resources and learning opportunities that could help you work alongside them. My experience taking the full courseThe week between Christmas and New Year's Day is usually fairly quiet, especially when it comes to the usual daily email traffic. This year I used that time to take this course, doing one session most days, and circling back later in the day for a second session on two of the days. Most sessions are a combination of reading, with a few spotlight videos thrown in. They end with a quiz. Since you can retake the quiz over and over again until you get it right, there's no need to fear test taking. I got most of the quizzes correct the first time out, but when my little dog distracted me, I wound up retaking one -- with no negative impact on my coursework. Also: How to use Bing Image Creator (and why it's better than ever) Each course dives into an aspect of AI and helps explain it. Without a doubt, I have a better feel for some of the generative AI processes than I did before taking it. More to the point, the courses were interesting and the video lectures engaging. There were also some interactive experiences in the course that I found compelling. Most of the courses are vendor-agnostic, but there was a Watson course that was specific to IBM's offerings. It didn't take more than an hour or so, and while I'm not in IBM's target market for their offering, it wasn't a waste of time to learn what IBM has for AI-related solutions. As I said earlier, I liked the ethics section. And if you're interested in a job in AI, you'll like the last session, which is a full dive into what to expect if you want to work in this field. It's worth the price of admission (even if admission wasn't free) for that session alone. I wound up with an official certificate, which I posted onto my LinkedIn profile. Stay tuned, because I'll be showing you how to add a verifiable training certificate to LinkedIn within the next week or so. Overall, the course was a great experience and I got a lot out of it. Also: These are the jobs most likely to be taken over by AI Also, a few of you asked about signing up for the course. There was some confusion because you can't get to the course directly. Be sure to go to the main IBM SkillBuild entry portal and create an account. Once you have a verified account (it's free), then you can get into the courses IBM offers. Finally, the IBM folks asked me to tell you they also offer a free Fundamentals of Sustainability and Technology course. You can find it on SkillBuild as well. That course, too, offers a verifiable credential. More resourcesThis is the third article in our series of free learning resources for those interested in exploring AI or building a career around this amazing technology. I also explored Amazon's free AI courses and free AI courses from OpenAI and DeepLearning. So there you go. Sign up now and use your spare time to get a new credential. If you take any of these courses, please report back below in the comments and let us know what you think. And stay tuned. I expect to provide more resources early in 2024 for you to continue your free AI learning journey. You can follow my day-to-day project updates on social media. Be sure to subscribe to my weekly update newsletter on Substack, and follow me on Twitter at @DavidGewirtz, on Facebook at Facebook.com/DavidGewirtz, on Instagram at Instagram.com/DavidGewirtz, and on YouTube at YouTube.com/DavidGewirtzTV. | ||||||||
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