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Test Number : 1Z0-202
Test Name : Siebel 8 Consultant
Vendor Name : Oracle
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Exam Title : Siebel 8 Consultant Exam
Exam ID : 1Z0-202
Exam Duration : 120 minutes
Questions in test : 60
Passing Score : 64%
Format : Multiple Choice Questions
Exam Center : Pearson VUE
Real Questions : Siebel 8 Consultant Certified Expert (OCE)
Recommended Practice : 1Z0-202 Online VCE Practice Test

Introducing Siebel Applications - Describe Siebel Customer Relationship Management (CRM) applications and how they are classified
- Identify the common business entities found in Siebel CRM applications Working With Siebel Data - Create, modify, and delete records
- Query for records in a Siebel CRM application Users, Positions, and Organizations - Describe how data access is controlled by users, positions, and organizations
- Implement the company structure using divisions, organizations, positions, users, and employees The Siebel Web Architecture - Identify the pieces that make up the Siebel Web architecture
- Identify the role of each piece of the architecture
- Describe how Siebel requests are processed Server Management - Monitor the state of the enterprise, and individual servers and components within that enterprise
- Perform routine administrative tasks on the enterprise, including: a. Managing components b. Backing up and restoring the enterprise c. Setting logging options d. Submitting jobs Securing Access to the Application - Describe the types of user authentication supported by Siebel applications
- Explain the role of the security adapter
- Describe Single Sign On (SSO) security and how it differs from other authentication methods Siebel Application Architecture - Describe the major types of object definitions
- Describe the relationships between them The Siebel Data Model - Describe the purpose of the Siebel Data Model
- Describe the role of primary and foreign keys, indexes, and user keys
- Identify prominent tables in the Siebel Data Model Siebel Business Objects - Describe how business objects focus data presented in the UI based on context
- Describe how views reference business objects
- Describe how links are used to relate parent business components to child business components The Configuration Process - Describe the development environment architecture
- Set up the development environment Editing and Compiling Object Definitions - Create new and edit existing object definitions
- Validate edited object definitions
- Archive object definitions and projects
- Back up the local database
- Compile object definitions into a repository file UI Layer Configuration: Applets - Create and modify a list applet
- Create and modify a form applet UI Layer Configuration: Drilldowns - Configure drilldown to a related view
- Enable the thread bar Business Layer Configuration: Existing Business Components and Fields - Edit business component properties to capture business logic
- Describe business component view modes
- Edit field properties to capture business logic
- Specify business component and field user properties Business Layer Configuration: Picklists - Describe the differences between dynamic and static picklists
- Administer a list of values
- Configure a static or dynamic picklists Data Layer Configuration - Create extension columns in a table
- Create custom tables: standalone table, 1:1 extension table, 1:M extension table, intersection table Building Siebel Workflow Processes - List the types of workflow processes and workflow steps
- Create a new workflow process and configure business service, Siebel operation, and decision steps Executing Workflow Processes - Describe the workflow execution architecture
- List several ways to invoke workflow
- Invoke a workflow process using a run-time event
- Invoke a workflow process using a custom control Siebel Task UI - Describe the role and benefits of Siebel Task UI
- Invoke and complete a task Transient Business Components and Branching - Describe the role of transient business components and task applets
- Configure branching logic in a task Creating Assignment Rules - Create an assignment rule that assigns sales data to a sales team
- Create an assignment rule that assigns service data to a skilled employee
- Test assignment rules Invoking Siebel Assignment Manager - List the modes in which Assignment Manager can be invoked
- Invoke Assignment Manager in dynamic mode Introducing Enterprise Integration Manager - Describe the features of Enterprise Integration Manager (EIM) Deploying Application Customizations - Use the packager utility to bundle application customizations
- Deploy a package using the ADM command-line interface Using the Siebel Web Client - Start and log in to a Siebel application
- Navigate screens and views in the application
- Identify major user interface (UI) features in a Siebel CRM application Responsibilities and Views - Describe the purpose of a responsibility
- Create a new responsibility
- Modify an existing responsibility Controlling Access to Customer Data - Describe the difference between customer and master data in Siebel applications
- Describe the different Access Control mechanisms used to restrict access to data in Siebel applications
- Identify the different view types used for different types of users Server Components and Parameters - Define component groups
- Define components
- Describe parameters as inputs for components
- Describe the various levels at which you can set parameters and how to set them
- Describe named subsystems and job templates Siebel Client Types - Identify the various Siebel clients
- Describe files associated with each client, including configuration files and local databases
- Describe how each client accesses Siebel servers and data Installing Siebel Applications - Describe pre-installation steps necessary to prepare your environment for a Siebel installation
- Install the Siebel application
- Perform post-installation steps to verify your Siebel environment
- Describe how to use the multi-server update tool to automate installations Using Siebel Tools to Examine Object Definitions - Describe the differences between object types and object definitions
- Use Siebel Tools to examine parent and child object definitions Siebel Business Components - Define a business component
- Describe how business component fields at the business object layer are mapped to columns at the data layer
- Describe how base and joined tables are used as a part of this mapping Configuration Strategy - List the critical elements of the Siebel configuration strategy Managing Object Definitions - Explain the role of projects
- Manage object definitions using Check Out and Check In
- Lock projects locally UI Layer Configuration: Web Templates - Describe the role of Siebel Web template files
- Describe the role of Siebel tags in template files
- List the types of templates
- Describe how to register, associate, and bind a template file UI Layer Configuration: Applications, Screens, and Views - Tailor applications
- Configure how a view is accessed on a screen
- Change the order of screen views for a screen
- Create and administer a view
- Associate a view with a template Business Layer Configuration: Joins - Create a join that brings data from a standard table into a standard business component
- Create a join that brings data from a party table into a standard business component
- Create a join that brings data from a party table into another party business component Business Layer Configuration: New Business Components and Fields - Create a new business component (BC)
- Add a business component to a business object Configuring Multi-Value Groups - Describe multi-value groups and their benefits
- Use Siebel Tools to configure a multi-value group Siebel Business Services - Describe a business service
- Describe the structure and role of property sets
- Use the business service simulator to test a business service Testing and Deploying Workflow Processes - Test a Siebel workflow process using the simulator
- Deploy a Siebel workflow process Using Workflow Policies - Create a workflow policy that invokes a workflow process in the Workflow Process Manager server component
- Enable the workflow policy using workflow server components Task UI: Creating a Task - Identify the major components of a task
- Configure a task
- Administer a task Introducing Siebel Assignment Manager - Explain the role of Siebel Assignment Manager
- List the elements used to create rules that assign business data Tailoring Assignment Manager Behavior - Describe the steps in the assignment methodology
- Prioritize rules using exclusive rules and rule group sequencing
- Modify the behavior of an assignment object State Models - Describe how state models can enforce business logic
- Create a new state model Introducing Application Deployment Manager - Describe the Application Deployment Manager (ADM) architecture
- Describe how deployment options are configured Siebel Party Business Components - Define a party business component
- Describe the role of S_PARTY and its extension tables in storing party business component data
- Describe how data is stored differently for non-party business components and party business components
- Describe how implicit and explicit joins are used with party business components



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Oracle Cheatsheet

Why I Don’t are expecting a worth-Crash In Future-FANMAG category shares | 1Z0-202 test Questions and PDF Download

currently and over the course of several articles, I and my colleague Dan Russo, Chief Market Strategist at Chaikin Analytics,, had been advocating in want of ETFs that emphasize innovation-concentrated businesses, the ones that have the knowledge to turn into the FANMAGs of the next day (click on here, right here, here, and here). App economic system Insights, writing about shares, hit the equal theme recently on searching for Alpha. i think more articles alongside these lines can be impending. but we’ve heard such things before, haven’t we. believe back to the late 1990s and early 2000s. a lot of extraordinary issues got here from that era, however there became an unpleasant underside: Many buyers who bought inventory lower back then had been financially decapitated by way of what in the end became out to be excessive inventory over-valuation. It’s therefore essential to consider even if this time is distinctive, even if investors who buy these ETFs and/or shares are prone to once more get slammed with the aid of the exceptional-business-horribly-priced-stock conundrum.

more suitable than the leisure

© Can inventory image / Palto

Valuation Is a lot tougher Than Many understand

If stock valuation changed into about nothing more than ratios (P/E, P/S, EV/S, P/B, Your FancyNewMetric/AnotherCoolNewMetric, a primary-grader could be an expert, perhaps even a pre-schooler (I overlook the age at which kids be taught to count number). interestingly, though, many buyers, even skilled an expert investors together with perhaps most and even all of the PhD/Quant community are loath to even consider moving beyond a simple excessive-to-low ratio form.

Oddly, although, after they seem away from the inventory market and at all the rest of existence, no one would believe for a second that low fee is all the time first rate and that excessive cost is at all times dangerous. There’s a reason dollar established doesn’t have a save on Rodeo power in Beverly Hills or price avenue in Palm seaside. rate can't be evaluated as too high or too low in isolation. It have to be accomplished relating to the nature and nice of what you get in your money. each person understands this when it comes to properties vehicles, attire, food, and many others., etc., and so forth. but for some cause, that basic factor of sanity is immediately tossed out the window when one tries to price a stock. No ask yourself so lots of nowadays’s quants are so puzzled concerning the terrific cost inversion by which excessive P/E outperformed low P/E. They remind me of 1 of the then-appropriate-writers/commenters on in search of Alpha who, on 9/28/12, objected to an article I published that date entitled “The certainty About Amazon’s Margins” with the aid of pointing out that “promoting AMZN is near a fraud,” a stock he believed become a screaming brief as a result of he idea, according to ratios on my own, it turned into vastly overestimated.

a little bit Of Valuation theory 

There is not any single strategy to cost a stock. There can’t be. We’re coping with the unknowable future so all any of us can do is guesstimate. Valuation proficiency is in regards to the change between well-reasoned guesstimates versus badly-reasoned guesstimates. Ideally, all guesstimates would be in accordance with the relationship between these days’s inventory fee and the present price of money flows expected to be got in the future as an incident of share possession. however severely, that’s an invitation to piling error on right of error on appropriate of error.

(That spoke of, if you completely positively feel you need to price stocks this way, as a minimum are trying to do it smartly. I indicate holding abreast of the work of Dr. Aswath Damodaran and his books, in particular “The dark aspect of Valuation.” Or, you could assess the Residual salary model, which dramatically reduces the number of imperative inputs. Adapting from the work of Stanford’s Dr. Charles M.C. Lee, I talk about it here together with presentation of an Excel template you could use to enforce it.)

subsequently, although, I decide upon a less formal less error susceptible approach. For details on my view of valuation, click on issues 2, three and 4 right here; or here for a quick cheat sheet.

for those who need to get appropriate to the conclude line, I’ll say now that an amazing cost/something ratio is one that derives one way or a different from what is well-known because the Gordon Dividend cut price model (which most finance college students study very early in the first investment finance class they take and possibly ignore once the examination is entire, which is a shame because the theory, even though it doesn't lend itself to a true-world plug-and-play spreadsheet, can serve as is an impressive and thus-a ways unsurpassed highbrow valuation roadmap that has gigantic actual-world implications).

For stocks of the variety being mentioned now — high-increase expertise future FANMAGs — I propose that commercial enterprise value/income a good metric (don’t get hung up on specific definitions of EV; adding debt to market cap will deliver a wonderfully nice numerator). The system for an ideal EV/S is:

  • EV / S = M / (R-G), the place
  • EV = business value, M = Margin, R = Required price of Annual Return and G = anticipated future boom
  • once again, and that i can’t say this sufficient, we’re coping with imprecision, the unknowable future. prefer a margin, any margin (i love working with Gross and working margins because they are usually those most intently associated with the every day business, as adversarial to other types of corporate “stuff.” For R select any measure of enterprise chance that appeals to you, no matter if tutorial Beta or as I decide on, simple nice metrics linked to earnings and profit balance and, with the aid of implication, inventory stability).

    similar formulations will also be derived for P/E, P/B, P/FCF, EV/FCF, or some other ratio. (See the above-referenced cheat-sheet for particulars.)

    The takeaway from here is that EV/S or P/S isn't too high or too low in and of itself, but best because it relates to:

  • G, expectations of future boom (which expectations will also be derived in countless aim and subjective methods) with bigger expected growth being linked to better fair EV/S;
  • M, margin no longer just the place margin stands nowadays but where it can be anticipated to move sooner or later — frequently for future fANMAG-type businesses, expect operating Margin to grow over time turned into operations mature and scale
  • R expected returns, which depends upon hobby charges (reduce quotes associated with bigger ratios) and company-specific business possibility, with diminishing risk (to be expected as agencies scale and mature) justifying higher margins
  • If somebody absolutely insists on trying to plug numbers in for G, M and R, first rate success and celebrate — but I don’t advocate doing that. Realistically, I suggest that we’re better off just specializing in the relationships and looking out for clues that indicate a stronger likelihood of EV/S being favorably or unfavorably aligned with M/(R-G). here's a mixture of art and science with a heck of a big skew toward artwork: It’s about the future, so that’s the way it must be. (What science there's functions simplest to help us boost their artwork, lots the style enhanced nice brushes and paints aid an oil painter.)

    enforcing concept

    There are two broad categories of implementation, each of which may also be very helpful, individually or together.

  • Pre-qualified (Filtered/Screened) rating: type valuation ratios from low to high however accomplish that on a pre-certified subset of the market from which companies that deserve low ratios (because of unhealthy boom prospects and/or poor business-possibility profiles) had been weeded out.
  • Multi-component ranking: Rank on a wide variety of factors that handle valuation, increase, and business possibility. 
  • I work with each procedures using the 20-component Chaikin Analytics power Gauge mannequin.

    Addressing today’s big query: may still They worry A Crash among Future-FANMAG category shares?

    I’m not forecasting the market as an entire. There’s an awful lot to think about right here; Coronavirus, the shape of the hoped-for economic recuperation, alternate issues, a presidential election and so forth. I don’t handle this because it’s now not in my wheel-house. I decide upon as an alternative, to sustain with Dan Russo’s suggestions. 

    What I’m focusing on nowadays is whether or not the future FANMAGs and the ETFs that invest n them face big valuation risks separate and apart from challenges that face the fairness market as a whole.

    there is a short-term difficulty. This past weekend, Dan advised Chaikin Analytics purchasers“that boom is likely to continue to steer value however the route bigger is not likely to be a continuation of the just about best 45 diploma perspective up and to the right that has been in region when you consider that the March 23rd lows for QQQ (and) that the boom’s outperformance has turn into parabolic within the near-time period and the ratio is stretched from the 200-day moving standard.” In other phrases, Dan is still bullish on the future FANMAGs however he is cautious in regards to the near time period. (observe, notwithstanding, that the stretched growth-to-cost relationship about which he speaks need not be corrected by using boom moving down. It may even be adjusted via a rally within the mediocrities and dogs that make up a whole lot of the naive value universe. but I’m not retaining my breath waiting for that.)

    examine Design

    I created a simple screen in ClariFi (the S&P platform they use these days to compute the model) that chosen stocks in line with here screening guidelines:

  • The vigor Gauge ingredient valuation based on sales is classified as Bearish or Very Bearish.
  • The vigor Gauge aspect valuation in response to Free money circulation is labeled as Bearish or Very Bearish.
  • The energy Gauge aspect valuation according to publication value is labeled as Bearish or Very Bearish.
  • The vigor Gauge element valuation according to Estimated EPS for the subsequent Fiscal year is classified as Bearish or Very Bearish.
  • The universal vigour Gauge Rank (including the aforementioned cost-oriented elements in addition to sixteen others that relate a technique or a different to expectations/sentiment regarding future business prospects and business risk) is categorized as Very Bullish, Bullish, neutral + (a essentially bullish-ranked stock that become demoted to neutral on the basis of a technical alert), or impartial.
  • The concept right here is to measure the extent to which strength in non-cost factors (those who inform us whatever about the traits of the enterprise whose stock we’re buying) have been capable of protect buyers from the ravages of what become, lower back then, an puffed up-stocks crash.

    The consequences

    now not many stocks passed muster. It takes an awful lot for inventory with the optimum valuation ratios to be sufficiently potent in adequate other areas to offset the influence of high ratios (analogous to the manner during which a house with an asking expense of $10 million would have to have much more going for it than a residence priced at $500,000).

    listed here are the general performance results for the period all through which the model become in are living use (in quant-speak, here's the “out-of-sample” period). In all situations, stocks are drawn from the Russell 3000 universe and 1- four- and 13-week refresh/rebalance intervals are examined.

    table 1

    desk 1

    writer

    Tables 2, 3 and four display true-backside (T_B) return comparisons. “true” refers to the stocks that handed the reveal. “bottom” incorporates stocks with all 4 Valuation components being ranked Bearish or Very Bearish (as changed into done for the “proper” display) however with the standard 20-aspect normal vigor Gauge model being Bearish or Very Bearish.

    table 2

    table 2

    writer

    desk three

    desk 3

    author

    table 4

    desk four

    author

    That’s all smartly and first rate, but 2012-20 didn't include a worth-driven crash akin to what they experienced in 2000-02. 

    fair sufficient. So let’s appear peculiarly at 2000-02.

    The energy Gauge model did not exist lower back then, but the use of Portfolio123 (the platform on which power Gauge turned into firstly designed) they are able to as a minimum take what they will from backtested records. desk 5 suggests backtested efficiency of monitors akin to the ones pointed out above.

    desk 5

    desk 5

    author

    reminiscences

    So how do the 2000-02 exams mesh with your memories of the time (assuming you had been energetic in investing back then)? I’m guessing your recollection may imply the numbers may still look worse. That become my preliminary intestine reaction. 

    but let’s consider the chance that their memories of the crash, anecdotal in all likelihood, might also have been worse than the fact in some vital respects. yes it became unhealthy and sure some massive-identify stocks acquired badly pummeled. Index performance become dreadful, with SPDR S&P 500 ETF (secret agent) (ETF home) became down 37%, and the ETF now called Invesco QQQ believe sequence 1 (QQQ) (ETF domestic) fell seventy four%.

    here, despite the fact, is an instance of the place memory can fool us. For one thing, a significant portion of the trauma reflected the shadow-momentum point of the market cap weighted indexes.  

    but even inventory-certain recollections will also be much less clear than they may recognise. Oracle (ORCL) is an instance of a circa-2000 darling that suffered horribly over the subsequent two years, having fallen about sixty three%. these days, that shares is one hundred twenty five% above where it changed into firstly of 2000, nevertheless it took greater than two decades to obtain that profit; it took unless November 2010 for ORCL to get better to where it changed into on 1/2/00. definitely, many who had been active available in the market again within the day can recall a lot of different such situations. 

    firstly of the interval, ORCL would have had a Bullish vigour Gauge score. So it feels like the core badly tousled right here . . . possibly.

    be cautious about drawing the sort of conclusion.

    The average rank truly fell to Bearish on June 19, 2000, at which era ORCL turned into priced 47% above the place it stood originally of the 12 months. A month later, with the stock having fallen 11% from where it became in June (however nonetheless 29% above the place it opened the year), the rank fell once more, now to Very Bearish. 

    The stock and the ranked fluctuated after that; once in a while the rank moved forward of the stock, other instances the inventory moved ahead of the rank. What’s essential, notwithstanding, is to respect that reminiscences, peculiarly emotionally tinged memories similar to those many inherited from the 2000–02 crash, should now not be allowed to supplant what the universal information is displaying us.

    On the total, they do see that excessive-ratio shares with ample electricity in other characteristics to justify the valuations outperformed others that weren’t as mighty in the sixteen non-value factors

    Conclusion

    Future-FANMAG shares and the ETFs that put money into them are accepting enormously excessive valuation ratios. however this, in and of itself, is neither respectable nor dangerous. whether. these investment succeed will subsequently rely upon no matter if the organizations carry on the promise of future growth and enterprise steadiness upon which high valuations are primarily based, and even if investors and ETFs are diligent in monitoring positions, whether via fashions and/or lively judgment to hold positions in groups that are heading in the right direction and replacing folks that aren’t. 

    We’ve considered that the inventory-concentrated Chaikin vigor Gauge mannequin has validated an potential to differentiate between highly valued shares that deserve rich valuations and those that don’t. They predict that different procedures can do likewise so long as they recognize the key query, no longer no matter if expenditures (valuation ratios) are high in and of themselves es however the place expenses ratios stand relative to the merits of what is being purchases (company boom capabilities and business risk).have you noticed that greenback well-known doesn’t have a keep on Rodeo drive in Beverly Hills. It’s adequate to pay more than rock bottom prices for prime-of0the-line merchandise. feel about this if end up puzzled by using the superior performance of stocks with excessive valuation ratios. It’s not well-nigh cost. appear, too, on the great of the merchandise!

    As discussed on July 1st, most of the ETFs that hang these stocks are global and hence are rated the use of a Technical-analysis simplest element of the PortfolioWise ETF power Rank (vigor Gauge itself is simply obtainable for U.S. Equities). I accept as true with the rank efficiency data offered on July 1st, coupled with the statistics offered here these days, combine to suggest that the processes during which Mr. Market assesses the portfolios of those ETFs is aligned with the considerations (the relationships between accompanied valuation ratios and the valuation rations deserved in line with the merits of the agencies).


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