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Exam Number : S90.01A
Exam Name : Fundamental SOA & Service-Oriented Computing
Vendor Name : SOA
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S90.01A Exam Format | S90.01A Course Contents | S90.01A Course Outline | S90.01A Exam Syllabus | S90.01A Exam Objectives


Exam: S90.01A Fundamental SOA & Service-Oriented Computing

Exam Details:
- Number of Questions: The exam consists of approximately 40 multiple-choice questions.
- Time: Candidates are given 60 minutes to complete the exam.

Course Outline:
The S90.01A Fundamental SOA & Service-Oriented Computing exam focuses on assessing professionals' understanding of the fundamental concepts and principles of Service-Oriented Architecture (SOA) and service-oriented computing. The course covers the following topics:

1. Introduction to SOA
- Key concepts and principles of SOA
- Benefits and value proposition of SOA
- Service-oriented architecture vs. traditional architectures
- SOA reference architecture

2. Service-Oriented Analysis and Design
- Service identification and modeling
- Service-oriented analysis techniques
- Service composition and orchestration
- Design patterns for SOA

3. Service-Oriented Technologies and Platforms
- Web services standards (SOAP, WSDL, UDDI)
- RESTful services and APIs
- Service containers and registries
- Messaging and event-driven architectures

4. Service-Oriented Governance and Quality Assurance
- Service governance principles and practices
- Service versioning and compatibility
- Service lifecycle management
- Service-level agreements (SLAs) and quality metrics

Exam Objectives:
The exam aims to assess candidates' understanding and proficiency in the following areas:

1. Fundamental concepts and principles of SOA
2. Service-oriented analysis and design techniques
3. Knowledge of service-oriented technologies and platforms
4. Understanding of service-oriented governance and quality assurance

Exam Syllabus:
The exam syllabus covers the following topics:

- Introduction to SOA
- Key concepts and principles of SOA
- Benefits and value proposition of SOA
- Service-oriented architecture vs. traditional architectures
- SOA reference architecture

- Service-Oriented Analysis and Design
- Service identification and modeling
- Service-oriented analysis techniques
- Service composition and orchestration
- Design patterns for SOA

- Service-Oriented Technologies and Platforms
- Web services standards (SOAP, WSDL, UDDI)
- RESTful services and APIs
- Service containers and registries
- Messaging and event-driven architectures

- Service-Oriented Governance and Quality Assurance
- Service governance principles and practices
- Service versioning and compatibility
- Service lifecycle management
- Service-level agreements (SLAs) and quality metrics



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How professionals are using ChatGPT – The Australian financial evaluation | Killexams.com Resources

generating spreadsheet formulas the usage of ChatGPTExtracting statistics for PDFs the usage of ChatGPTHow authorities are the usage of ChatGPTEdmund TadrosQuantitative analyst James Bailey used ChatGPT to assist him determine which statistical distributions can be surest to use with a set of statistics.“i used to be requested to build a statistical mannequin and to use a ‘fats-tail distribution’ but i used to be told to be deliberate in regards to the distribution I picked,” Mr Bailey, who works at a economic establishment, pointed out.Quantitative analyst James Bailey. “i was additionally advised that I needed to explain why I picked whichever distribution i was going to make use of. So I asked ChatGPT as I didn’t have the time to sift via countless academic papers to figure out which became optimal from the distinct alternate options.”with out getting into the technical particulars, he spoke of ‘fats-tail distributions’ are constructive to model movements which have a excessive opportunity of an extreme outcome. during this case, Mr Bailey turned into some financial data, but he didn’t are looking to provide particulars of the statistics, nor did he feed the information into ChatGPT.He asked the device three questions in a row. question one was aimed toward picking mainstream distributions, the second query turned into to get into somewhat extra complex examples and the closing question turned into to find very advanced examples.“It supplied fast summaries with correct descriptions…but it surely nonetheless took a while to validate with educational research,” Mr Bailey referred to. “however, it all checked out once I went via it. It likely saved me a full day of research.”Would he use the device in an identical method once more? “completely”.[Prompts edited to be more concise, the responses are the results from a test using ChatGPT 4 by The Australian Financial Review]question 1:query 2:These are some further examples of fats-tailed distributions, notwithstanding there are a lot of different distributions with heavy tails that can be central reckoning on the selected context or utility.query three:Generalised extreme price distribution (GEV): a versatile family unit of continual likelihood distributions that unifies the Fréchet, Gumbel, and Weibull types, used to mannequin excessive values in quite a few functions.Kappa distribution: A family of heavy-tailed distributions often utilized in plasma physics, area physics, and astrophysics to describe the distribution of particle velocities in area plasmas.G-and-H distribution: a versatile distribution family unit with adjustable parameters that may model heavy tails, skewness, and kurtosis, suitable for a wide array of functions in finance, possibility administration, and different fields.Hyperbolic distribution: a flexible distribution characterised with the aid of semi-heavy tails and sometimes used in finance to mannequin asset returns and portfolio risk.Inverse Gaussian distribution: A positively skewed distribution with heavy tails, generic in modelling periods or ready times in stochastic approaches.Inverse Gamma distribution: a versatile, heavy-tailed distribution utilized in Bayesian records, reliability modelling, and as a prior distribution for scale parameters.Tweedie distribution: A household of continuous distributions with heavy tails that includes the ordinary, gamma, and Poisson distributions, often used in insurance and actuarial science.Generalised hyperbolic distribution: A household of distributions that can mannequin heavy tails, skewness, and kurtosis, widespread in finance and possibility administration.Double Pareto distribution: A two-sided extension of the Pareto distribution with heavy tails on each ends, regularly utilized in modelling facts with excessive values in both tails.These are much more examples of fats-tailed distributions, highlighting the range of distribution households that can also be used to mannequin numerous heavy-tailed phenomena throughout numerous fields and purposes.This looks like a good way to make use of ChatGPT but comes with a big caveat – you actually need to understand the area count to make certain the tool isn’t offering inaccurate suggestions. (We didn’t validate the output above. Get in touch in case you see errors and we’ll notice it in the post.)whereas Mr Bailey would use the tool like this once more, he also notes that “some validation is at all times indispensable.”“A statistician featuring inaccuracies is profession-destroying,” he talked about.“We’re not fairly on the stage the place we are able to cite ‘ChatGPT’ as a source, so most desirable to have some thing professional up your sleeve. top-quality case, which you can cite precise analysis somebody has carried out. Worst case, you’ve just called ChatGPT’s bluff and might ask it to try once more.”Mr Bailey is a director of The records Science and AI affiliation of Australia. The association is preserving a ChatGPT hackathon as a part of the Spark festival in Sydney from Friday to Sunday. The experience will be held at usaStartups on level 1, 622-632 Harris St, Ultimo and is free to attend.Edmund TadrosAccountant James Carey additionally uses ChatGPT to support him organise information offered by using the customer. during this case, he asked ChatGPT to create a desk according to the bank card statistics to explain each of the suppliers.“I do not necessarily recognize what each and every company does, so I requested ChatGPT to summarise it and describe what every issuer does,” Mr Carey spoke of. “It really saved me [from] Googling what unknown suppliers did. It now and again is aware of a business enterprise and infrequently doesn’t – e.g. [my accounting firm] prime companions has been “unknown”, “economic functions” and “accounting”.He additionally warned that ChatGPt tended to be unreliable when totalling information, so he leaves that classification of calculation to spreadsheets.

i need some suggestions summarising a desk of bank card transactions.are you able to please produce a table that lists each and every supplier and then gives an outline of what features they give.Date volume Transaction Details1-Jan-22 -922.01 prime Partners2-Jan-22 -34.fifty five DNH*GODADDY.COM AUD https://ww3-Jan-22 -1.04 NAB INTNL TRAN FEE4-Jan-22 -54.81 DNH*GODADDY.COM AUD https://ww5-Jan-22 -1.sixty four NAB INTNL TRAN FEE6-Jan-22 -5.63 WWW.1AND1.COM CHESTERBRO7-Jan-22 -0.17 NAB INTNL TRAN FEE8-Jan-22 -872.20 Dropbox9-Jan-22 -32.sixty seven NAB INTNL TRAN FEE10-Jan-22 -5.fifty seven WWW.1AND1.COM CHESTERBRO11-Jan-22 -0.17 NAB INTNL TRAN FEE12-Jan-22 -5.fifty eight WWW.1AND1.COM CHESTERBRO13-Jan-22 -0.17 NAB INTNL TRAN FEE14-Jan-22 -5.64 WWW.1AND1.COM CHESTERBRO15-Jan-22 -0.17 NAB INTNL TRAN FEE16-Jan-22 -0.17 NAB INTNL TRAN FEE18-Jan-22 -262.53 EDITANDPRINT PTY LTD NERANG19-Jan-22 -forty four.fifty six EB games SYDNEY NSWAU20-Jan-22 -2.31 NAB INTNL TRAN FEE21-Jan-22 -30.00 OFFICEWORKS 0251 SYDNEY22-Jan-22 -40.00 OFFICEWORKS 0251 SYDNEY23-Jan-22 -0.forty six NAB INTNL TRAN FEE24-Jan-22 -243.31 Fiverr.com25-Jan-22 -6.14 NAB INTNL TRAN FEE27-Jan-22 -2.fifty five NAB INTNL TRAN FEE28-Jan-22 -1.66 NAB INTNL TRAN charge[This is dummy data, but typical of real credit card transactions]beneath is the summary table with each company and an outline of the capabilities they supply:The table generated with the aid of ChatGPT from the dummy credit card assistance. Please note that some assumptions have been made in line with the counsel supplied within the transaction details. For a more correct description of the capabilities, you might also need to discuss with the corresponding invoices or contact the suppliers directly.here is an imaginative use of the device and proved somewhat accurate once we demonstrated it out on sample information from a number of credit cards and financial institution debts. The leading issue right here can be security. It’s premiere under no circumstances to enter any settling on records and, in this case, to in all probability leave out the dates and transaction quantities.there is additionally a potential safety concern if the supplier statistics from the economic establishment is simply too certain. That classification of information should still be edited to be time-honored or no longer entered in any respect.On a further security notice, Mr Carey also observed that he has disabled the option in ChatGPT for user enter for use as working towards records. That can be present in the bottom left-hand side of the monitor, under “settings”.Edmund TadrosChartered accountant James Carey has been using ChatGPT for quite a number work-connected tasks, together with building spreadsheet formulas and managing the bank card transactions of valued clientele.James Carey, a director of prime companions Chartered Accountants. “i might say I’m a power person of tech,” Mr Carey, a director of top companions Chartered Accountants, talked about. “ahead of ChatGPT, [I] had never in reality coded anything past essentially the most simple [Microsoft] Excel macro.”He now uses the device to support create spreadsheet formulas virtually day by day.“i know what effect I desire, however I don’t know what components to make use of,” he referred to. “[I’ll] describe the difficulty and it tells me the reply. on occasion has to be iterative, but often it simply works.”He said the tool saves him “doubtless half-hour in Googling Excel formulas”.I actually have an excel components issue: I actually have a table on sheet 1 that has 2 columns. the first represents the month quantity (e.g. there are 36 rows and every row, the primary column is numbered 1, 2, three and so on and many others.)The 2d column suggests the hobby costs for each and every month.In a different sheet2, I even have a row with a reference representing every 12 month length. eg 12, 24, 36.I are looking to look up the pastime on the primary sheet by using summing the pastime for three hundred and sixty five days. E.g. if my reference in sheet2 is 12, I wish to sum the activity in rows 1-12.are you able to inform me what components can do that?illustration of the design for Sheet 1 and Sheet 2 in Google Sheets the usage of dummy information. which you can use the SUMIFS characteristic to obtain this. right here’s a step-through-step ebook:here’s the system you might use in cell B2 of Sheet2;=SUMIFS(Sheet1!$B:$B, Sheet1!$A:$A, “>=“&B1-eleven, Sheet1!$A:$A, “<=“&B1)This method calculates the sum of activity (in column B of Sheet1) where the month number (in column A of Sheet1) is better than or equal to the reference month (B1 in Sheet2) minus eleven and fewer than or equal to the reference month itself.that you would be able to then reproduction this components to other cells in Sheet2 where you want to calculate the sum of activity for other 12-month intervals.Please adjust the cellphone references if needed.instance of the effect of the equation counseled with the aid of ChatGPT. [The equation produced “1530” when pasted into cell B2, which is the correct answer based on the dummy data.]The trick to using ChatGPT in this means is being capable of describe the design of a spreadsheet to the device. it's a task that we found surprisingly fiddly.In our experiments with the use of the identical prompt, the tool became useful in arising with a method that could be used. nonetheless it would from time to time require some tweaking because it tended to get puzzled about which cell had the month numbers (12, 24, 36) getting used to calculate the full.That problems may well be mounted by means of specifying where the numbers had been on Sheet2 within the prompt. Like all the time when it involves ChatGPT, it helps to be an influence consumer of spreadsheets in the first location.Edmund TadrosBrisbane-primarily based accountant Jason Andrew has been the use of ChatGPT to create emails, edit blog posts and generic life admin.but what received our attention was the manner he has used the tool to take a great deal of the trouble out of the dreaded task of extracting information from a PDF file.Accountant Jason Andrew is using ChatGPT to extract records from PDFs. “I these days used it to help with information cleaning and restructuring copied information from a PDF into Excel,” Mr Andrew, the director and head of increase at SBO monetary, noted.“i might customarily assignment our analyst crew to try this spreadsheet grunt work – it would probably take them at the least an hour. ChatGPT did it in seconds.”asked if he would use the tool to carry out such a task again, he replied: “Hell, sure.”howdy mate, are you able to reformat this records for excel30 June 2022 30 June 2021as at 30 June 2022 be aware $’000 $’000Current assetsCash at financial institution four.5 24,276 70,497Trade and other receivables three.1 27,687 30,621Inventories three.2 65,335 forty six,179Prepayments 5,026 4,311Contract belongings 2.1 844 843Current tax asset three.6 8,487 –belongings held on the market 5.2 657 –total latest belongings 132,312 152,451Non-present assetsRight-of-use assets three.3 41,268 9,003Plant and equipment three.4 38,068 19,864[Edited for length]sure, here’s the reformatted information for ExcelThe ease or issue of manually extracting statistics from a PDF will all depend upon how the statistics became saved – and whether you've got entry to Adobe Acrobat professional or the same professional tool that will also be used to cut and paste tables.with out these tools, ChatGPT three.5 and 4 can do reasonably just a little of the heavy lifting, – but you’ll still should double-determine the consequences cautiously and ask the chatbot to relevant its blunders.We had blended consequences in our experiments the use of the equal table as Mr Andrew (a reduce and paste from page forty eight of the annual document below). The tool once in a while needed to be reminded to encompass the entire columns and at other instances it left records out for no rationale. despite the fact, ChatGPT straight away fastened most issues when caused.The tool changed into much less constructive for tables with blank cells that did not have a splash or every other indicator. This records in these tables was wrongly positioned and in every test had to be manually corrected.Edmund TadrosThe free up of ChatGPT has brought into the mainstream a branch of technology that will transform the manner white collar work is finished everywhere.experts say people deserve to learn the way to use these generative AI tools but the challenge is making an attempt to get a foothold, primarily for the non-tech savvy, in an area that's constructing so right away.This blog will center of attention on how authorities from across the country are the use of the equipment to support them do their work. it'll spend time analyzing how the expertise works only when it relates returned to the selected examples.it is going to additionally characteristic brief interviews with people from round Australia describing the specific ways they have got used these equipment and the pros and cons of their experiments. We’ll also highlight the particular prompts used, the outcomes (redacting any delicate suggestions) and our take on it.We’re primarily drawn to highlighting how americans devoid of technical backgrounds are making ingenious use of the expertise.This should be an evolving test and will in the beginning focus upon how the ChatGPT tool is being used.We welcome submissions at edmundtadros@afr.com.au with “AI weblog” within the area line. Please consist of your contact particulars (no longer for publication), the certain use case, the pros and cons of the instance, the prompt(s) used and the fabric produced with the aid of the tool.Fetching latest articlesThe day by day addiction of a hit people

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