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Exam Number : 1Z0-1024
Exam Name : Oracle Cost Management Cloud 2018 Implementation Essentials
Vendor Name : Oracle
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Managerial Accounting Overview
Explain Cost Accounting and how it integrates with other modules
Describe the purpose of Cost Accounting, Receipt Accounting, and Landed Cost
Explain key implementation decision points
Cost Accounting Overview
Describe the Cost Accounting Work Area
Explain Cost Accounting
Configure Costing methods (Standard, Perpetual, and Actual)
Configure Cost Accounting Using Quick Setup and/or Manual Setup
Create Cost Accounting Key setups (Cost Org, Cost Book, Relationships, Elements, Components, Component Mappings, Valuation Structures, Cost Profiles, and Default Cost Profiles)
Explain the Role of Costing Key setups and Cost policies
Perform Cost Accounting processes
Describe Cost Accounting reporting
Manage Daily Cost Accounting tasks
Landed Cost Overview
Describe the Landed Cost Work Area
Explain Landed Cost
Configure Landed Cost Management
Manage Charge Names
Manage Landed Cost Reference types
Manage Routes
Costing and Inventory Foundations
Explain Common Inventory Configurations
Describe Managerial Accounting Basics
Explain Cost Accounting
Receipt Accounting Overview
Describe the Receipt Accounting Work Area
Explain Receipt Accounting
Configure Accrue at period end
Configure Accrue on receipt
Perform Receipt Accounting processes
Describe Receipt Accounting reporting
Manage daily Receipt Accounting tasks
Standard Costs
Manage Cost scenarios
Create Standard Costs, Resource Rates, and Overhead Rates
Manage rolled up Costs
Analyze and resolve Standard Cost variances
Subledger Accounting
Explain the Receipt Accounting Subledger
Explain the Cost Accounting Subledger
Create Account Rules
Create Journal Line Rules
Create a Subledger Journal Entry Rule set
Create an Accounting Method
Explain the relationships of Subledger Components
Analyze and resolve errors and exceptions



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Oracle Implementation real Questions

Java eight Lambdas - A Peek beneath the Hood | 1Z0-1024 test Braindumps and Free test PDF

Java 8 become released in March 2014 and added lambda expressions as its flagship feature. You may already be the usage of them to your code base to put in writing greater concise and versatile code. as an instance, that you would be able to combine lambda expressions with the new Streams API to categorical wealthy statistics processing queries:

int complete = invoices.move() .filter(inv -> inv.getMonth() == Month.JULY) .mapToInt(invoice::getAmount) .sum();

This illustration indicates the way to calculate the whole quantity due in July from a group of invoices. move a lambda expression to discover invoices whose month is July, and a way reference to extract the quantity from the invoice.

You can be questioning how the Java compiler implements lambda expressions and system references at the back of the scenes and how the Java virtual computing device (JVM) deals with them. for example, are lambda expressions with no trouble syntactic sugar for nameless internal classes? in any case, the code above may be translated by way of copying the body of the lambda expression into the physique of the acceptable method of an nameless type (we discourage you from doing this!):

int complete = invoices.flow() .filter(new Predicate<invoice>() @Override public boolean test(invoice inv) return inv.getMonth() == Month.JULY; ) .mapToInt(new ToIntFunction<invoice>() @Override public int applyAsInt(bill inv) return inv.getAmount(); ) .sum();

this text will clarify why the Java compiler doesn’t follow this mechanism, and will shed gentle on how lambda expressions and formulation references are applied. they can seem at the bytecode era and briefly analyze lambda efficiency in the lab. at last, they are able to discuss the performance implications within the true world.

Why are nameless inner courses unsatisfactory?

anonymous internal courses have undesirable traits that may have an impact on the performance of your utility.

First, the compiler generates a brand new class file for every anonymous internal category. The filename usually seems like ClassName$1, the place ClassName is the name of the classification through which the nameless internal class is defined, followed by way of a greenback signal and a bunch. The generation of many class files is undesirable as a result of each category file needs to be loaded and validated before getting used, which impacts the startup efficiency of the application. The loading may well be an expensive operation, together with disk I/O and decompressing the JAR file itself.

If lambdas had been translated to anonymous internal classes, you’d have one new class file for every lambda. As each and every nameless internal type could be loaded it would take up room in the JVM’s meta-space (which is the Java 8 replacement for the everlasting era). If the code inner every such nameless inner classification is compiled to computer code via the JVM, it will be saved inner a code cache. moreover, these anonymous internal courses could be instantiated into separate objects. As a final result, nameless internal classes would raise the reminiscence consumption of your application. it is potentially constructive to introduce a caching mechanism as a way to cut back all of this memory overhead, which motivates the introduction of some sort of abstraction layer.

most significantly, selecting to put into effect lambdas the use of nameless internal category from day one would have restrained the scope of future lambda implementation adjustments, as neatly because the skill for them to adapt in accordance with future JVM improvements.

Let’s take a look at the following code:

import java.util.function.feature; public type AnonymousClassExample function<String, String> layout = new characteristic<String, String>() public String apply(String enter) return personality.toUpperCase(enter.charAt(0)) + enter.substring(1); ;

you can check the bytecode generated for any category file using the command

javap -c -v ClassName

The corresponding generated bytecode for the characteristic created as an nameless inner type should be anything along the traces of this:

0: aload_0 1: invokespecial #1 // formulation java/lang/Object."<init>":()V four: aload_0 5: new #2 // classification AnonymousClassExample$1 eight: dup 9: aload_0 10: invokespecial #three // components AnonymousClass$1."<init>":(LAnonymousClassExample;)V 13: putfield #4 // field structure:Ljava/util/feature/characteristic; sixteen: return

This code indicates right here:

  • 5: An object of classification AnonymousClassExample$1 is instantiated using the byte code operation new. A reference to the newly created object is pushed on the stack on the identical time.
  • eight: The operation dup duplicates that reference on the stack.
  • 10: This value is then consumed via the guide invokespecial, which initializes the nameless inner classification instance.
  • 13: The right of the stack now nonetheless consists of a reference to the article, which is stored within the layout container of the AnonymousClassExample category the usage of the putfield instruction.
  • AnonymousClassExample$1 is the name generated via the compiler for the nameless internal category. in case you are looking to reassure your self, which you could check up on the AnonymousClassExample$1 type file as neatly, and you’ll discover the code for the implementation of the characteristic interface.

    Translating lambda expressions to nameless internal courses would limit viable future optimisations (e.g. caching) as they'd be tied to the nameless inner classification bytecode technology mechanism. As a end result, the language and JVM engineers vital a stable binary illustration that offered sufficient tips whereas allowing option viable implementation ideas by means of the JVM in the future. The subsequent section explains just how here is viable!

    Lambdas and invokedynamic

    To tackle the considerations explained in the previous section, the Java language and JVM engineers determined to defer the preference of a translation method except run time. the new invokedynamic bytecode guide delivered with Java 7 gave them a mechanism to achieve this in an effective manner. the translation of a lambda expression to bytecode is performed in two steps:

  • generate an invokedynamic name website (known as lambda manufacturing facility), which when invoked returns an instance of the useful Interface to which the lambda is being transformed;
  • convert the physique of the lambda expression into a technique that should be invoked in the course of the invokedynamic guideline.
  • for instance step one let’s check out the bytecode generated when compiling an easy classification containing a lambda expression such as:

    import java.util.feature.characteristic; public category Lambda feature<String, Integer> f = s -> Integer.parseInt(s);

    this will translate to the following bytecode:

    0: aload_0 1: invokespecial #1 // components java/lang/Object."<init>":()V 4: aload_0 5: invokedynamic #2, 0 // InvokeDynamic #0:follow:()Ljava/util/characteristic/function; 10: putfield #3 // field f:Ljava/util/characteristic/characteristic; 13: return

    notice that system references are compiled a bit in another way as a result of javac doesn't need to generate a synthetic system and might seek advice from the system without delay.

    How the 2nd step is carried out is dependent upon no matter if the lambda expression is non-taking pictures (the lambda doesn’t entry any variables defined outdoor its physique) or capturing (the lambda accesses variables described outdoor its body).

    Non-shooting lambdas are readily desugared into a static system having exactly the same signature of the lambda expression and declared interior the equal classification the place the lambda expression is used. for instance the lambda expression declared in the Lambda class above can also be desugared into a way like this:

    static Integer lambda$1(String s) return Integer.parseInt(s);

    notice: $1 is not an internal category, it is only their way of representing compiler generated code

    The case of a taking pictures lambda expression is a bit of extra complicated because the captured variables have to be passed to the formula implementing the physique of the lambda expression in conjunction with the formal arguments of the lambda. in this case the usual translation method is to prepend the arguments of the lambda expression with an additional argument for every of the captured variables. Let’s look at a practical example:

    int offset = a hundred; characteristic<String, Integer> f = s -> Integer.parseInt(s) + offset;

    the corresponding system implementation may be generated asy:

    static Integer lambda$1(int offset, String s) return Integer.parseInt(s) + offset;

    however this translation method isn't set in stone because the use of the invokedynamic guideline offers the compiler the flexibility to select distinct implementation thoughts in the future. as an example, the captured values may well be boxed in an array or, if the lambda expression reads some fields of the classification the place it is used, the generated components can be an illustration one, in its place of being declared static, thus warding off the need to move these fields as additional arguments.

    performance within the Lab

    The leading talents of this strategy is the efficiency qualities. it will be amazing to simply think of these as being reducible to a single quantity, but there are truly assorted operations panic right here.

    the primary half is the linkage step, which corresponds to the lambda manufacturing facility step outlined above. If they have been evaluating the efficiency to anonymous inner courses, then the equal operation will be the classification loading of the nameless inner classification. Oracle have published a performance analysis onto this tradeoff through Sergey Kuksenko and you can see Kuksenko carry a chat on the syllabu at the 2013 JVM Language Summit[3]. The analysis indicates that it takes time to warm up the lambda manufacturing facility approach, all over which it is in the beginning slower. efficiency comes into line with category loading when there are sufficient call sites linked, if the code is on a hot direction (i.e., one known as frequently ample to get JIT compiled). then again if it’s a cold direction the lambda factory approach will also be up to 100x faster.

    The 2nd step is shooting the variables from the surrounding scope. As we’ve already outlined, if there are no variables to catch then this step can be optimised automatically to avoid allocating a brand new object with the lambda manufacturing facility based implementation. in the nameless inner class strategy we'd be instantiating a brand new object. with the intention to optimize the equal case you might need to manually optimise the code with the aid of creating a single object and hoisting it into a static field. for instance:

    // Hoisted feature public static remaining function<String, Integer> parseInt = new feature<String, Integer>() public Integer practice(String arg) return Integer.parseInt(arg); ; // usage: int outcomes = parseInt.follow(“123”);

    The third step is calling the genuine formula. at the moment each anonymous inner classes and lambda expressions operate the accurate same operation so there is not any difference in efficiency here. The out of the field efficiency for non-taking pictures lambda expressions is already ahead of the hoisted nameless inner class equivalent. The implementation of capturing lambda expressions is an identical ballpark to the efficiency of allocating an nameless inner category in order to trap these fields.

    What we’ve seen in this part is that generally the implementation of lambda expressions performs well. while anonymous inner classes want manual optimisation to avoid allocation probably the most average case of this (a lambda expression that doesn’t capture its arguments) is already being optimized for us by the JVM.

    efficiency within the box

    Of path its all neatly and first rate to take into account the overall performance model, but how do issues stack up in apply? We’ve been the usage of Java 8 in just a few software tasks with generally advantageous outcomes. The automatic optimisation of non-capturing lambdas can supply a nice advantage. There’s one selected example identified which raises some entertaining questions about future optimisation directions.

    The example in question befell whilst engaged on some code for use in a equipment which required exceptionally low GC pauses, ideally none. It changed into consequently alluring to keep away from allocating too many objects. The mission made wide use of lambdas to put in force callback handlers. alas they nevertheless have rather just a few callbacks where they catch no local variables, however want to seek advice from a container of the latest category and even simply call a method on the existing category. presently this nonetheless seems to require allocation. here's a code illustration simply to clarify what they are talking about:

    public MessageProcessor() public int processMessages() return queue.study(obj -> if (obj instanceof NewClient) this.processNewClient((NewClient) obj); ... );

    there's an easy solution to this issue. They hoist up the code into the constructor and assigned it to a box, they then refer directly to the container at the callsite. here is their previous code instance rewritten:

    inner most final consumer<Msg> handler; public MessageProcessor() handler = obj -> if (obj instanceof NewClient) this.processNewClient((NewClient) obj); ... ; public int processMessages() return queue.study(handler);

    in the mission in query this became a major difficulty: memory profiling printed that this trial turned into accountable for six of the appropriate eight sites of object allocation and smartly over 60% of the application’s allocation in complete.

    as with every expertise optimisation making use of this strategy despite context is likely to introduce different complications.

  • you're determining to put in writing non-idiomatic code for simply efficiency motives. So there's a readability tradeoff
  • there is an allocation tradeoff at stake as well. You’re adding a field to MessageProcessor, making it higher to allocate. The creation and trap of the lambda in question also slows down the constructor call to MessageProcessor.
  • We got here across this condition now not by way of trying to find the scenario but through reminiscence profiling and had a superb business use case which justified the optimisation. They had been also capable the place they had objects being allotted as soon as, that reused lambda expressions a great deal so the caching was extremely really helpful. as with any efficiency tuning endeavor scientific method is the commonly recommended approach.

    this is the approach that any other conclusion users looking for to optimise their use of lambda expressions should still take as smartly. trying to jot down clear, elementary and functional code is all the time the most excellent first step. Any optimisation, akin to this hoisting, may still handiest be carried out according to a real issue. Writing lambda expressions that catch allocating objects isn’t inherently unhealthy - in the equal method that writing Java code that calls `new Foo()` isn’t inherently unhealthy.

    This experience does additionally imply that to get the most desirable out of lambda expressions it's critical to use them idiomatically. If lambda expressions are used to represent small, pure capabilities there's little need for them to catch anything else from their surrounding scope. As with most issues - in case you maintain it standard issues function neatly.

    Conclusions

    listed here we’ve explained that lambdas aren’t simply nameless internal classes under the hood, and why anonymous internal classes will not have been an appropriate implementation approach for lambda expressions. lots of work has already long gone into pondering during the lambda expressions implementation method. for the time being they're faster than anonymous internal classes for many initiatives, but the current situation isn’t superb; there is still some scope for size-pushed hand optimisation.

    The method utilized in Java 8 isn’t simply restrained to Java itself notwithstanding. Scala has traditionally carried out its lambda expressions through producing anonymous inner classes. In Scala 2.12 although the move has been made to delivery the use of the lambda metafactory mechanism delivered in Java eight. Over time its viable that different languages on the JVM may additionally additionally undertake this mechanism.

    in regards to the Authors

    Richard Warburton is an empirical technologist and solver of deep-dive technical complications.  lately he has written a publication on Java eight Lambdas for O’Reilly and teaches practical code to Java builders with java8training.com. He’s worked as a developer in many areas together with Statistical Analytics, Static evaluation, Compilers and community Protocols. he's a frontrunner in the London Java neighborhood and runs Openjdk Hackdays.  Richard is also a typical conference speaker, having talked at Devoxx, JavaOne, JFokus, Devoxx UK, Geecon, Oredev, JAX London and Codemotion. He has acquired a PhD in laptop Science from The tuition of Warwick. 

    Raoul-Gabriel Urma is a PhD candidate in desktop Science at the college of Cambridge. he is co-creator of the publication Java 8 in action: Lambdas, streams, and practical-fashion programming published with the aid of Manning. in addition, Raoul has written over 10 peer-reviewed articles and delivered over 20 technical talks at international conferences. He has labored for tremendous corporations akin to Google, eBay, Oracle, and Goldman Sachs, in addition to for several startup initiatives. Raoul is additionally a Fellow of the Royal Society of Arts. Twitter: @raoulUK

    Mario Fusco is a senior software engineer at crimson Hat working at the construction of the core of Drools, the JBoss suggestions engine. He has huge experience as a Java developer, having been concerned in (and infrequently leading) many business degree initiatives in industries starting from media organizations to the economic sector. amongst his hobbies are functional programming and domain certain languages. by means of leveraging these two passions, he created the open source library lambdaj with the applications of proposing an inner Java DSL for manipulating collections and for permitting a bit of of functional programming in Java. Twitter: @mariofusco.


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