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To create a policy to encrypt data between two computers A negotiation policy must find a match. For computers to communicate, the policy on each computer must have almost identical settings. The following policy needs to be exported and then imported on Computer1, and assigned on both computers before encrypted data can pass between them. In a Windows domain environment, if large numbers of computers can use the same policy, it can be created as part of a GPO. 1. Open the Security Configuration Management console created in Exercise 1. 2. Right-click IP Security Policies On Local Computer and select Create IP Security Policy. The IP Security Policy Wizard appears. 3. Click Next on the welcome page. 4. In the name text box, type encrypt telnet traffic. Type a description, and click Next. 5. Clear the Activate The Default Response Rule check box, click Next, and then click Finish. 6. In the policy properties dialog box, click the General tab (shown in Figure 11-30), and then click Settings to locate and adjust the key exchange settings.

Both methods take the entity s class as a parameter, as well as an instance of the entity s primary key. They use Java generics so that you don t have to do any casting. How do these methods differ The find() method returns null if the entity is not found in the database. It also initializes the state based on the lazy-loading policies of each property (lazy loading is discussed in 10). Once you have located an entity bean by calling find(), calling getReference(), or creating and executing a query, the entity bean instance remains managed by the persistence context until the context is closed. During this period, you can change the state of the entity bean instance as you would any other object, and the updates will be synchronized automatically (depending on the flush mode) or when you call the flush() method directly.

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Finalizer Method N/A N/A N/A N/A Data Members Constant Field Java Member Type Members Class Interface N/A N/A N/A

Summary

By this definition of transparent persistence, certain nonautomated persistence layers are transparent (for example, the DAO pattern) because they decouple the persistence-related code with abstract programming interfaces. Only plain Java classes without dependencies are exposed to the business logic or contain the business logic. Conversely, some automated persistence layers (including EJB 2.1 entity instances and some ORM solutions) are nontransparent because they require special interfaces or intrusive programming models. We regard transparency as required. Transparent persistence should be one of the primary goals of any ORM solution. However, no automated persistence solution is completely transparent: Every automated persistence layer, including Hibernate, imposes some requirements on the persistent classes. For example, Hibernate requires that collection-valued properties be typed to an interface such as java.util.Set or java.util.List and not to an actual implementation such as java.util.HashSet (this is a good practice anyway). Or, a JPA entity class has to have a special property, called the database identifier. You now know why the persistence mechanism should have minimal impact on how you implement a domain model, and that transparent and automated persistence are required. What kind of programming model should you use What are the exact requirements and contracts to observe Do you need a special programming model at all In theory, no; in practice, however, you should adopt a disciplined, consistent programming model that is well accepted by the Java community.

Boundary value analysis is a functional technique that targets data values at, immediately above, and immediately below a specific boundary condition. Historical experience and root cause analysis of recurring problems demonstrate that anomalies are common occurrences at or near the boundary conditions of independent input or output parameters. A systematic analysis of the variables at and near boundary conditions increases test effectiveness, provides better-qualified information, and increases the likelihood of detecting specific classes of defects that can occur with linear variables in input or output parameters earlier in the testing cycle. With the 3(BC) formula, you can better approximate the number of boundary tests needed and provide a more comprehensive set of tests as compared to using other formulas because tests are based on the number of identified boundary values, not on the number of parameters. A detailed examination of the data is the only way to identify additional boundary conditions that are otherwise not exposed if the focus is on only the extreme ranges of the physical parameter or through random input of nominal values. Boundary testing provides a more precise systematic technique for qualified evaluation of variables for independent parameters. However, you must remember that no single approach in testing is faultless, and the effectiveness of boundary value analysis relies on our ability to decompose variables into discrete equivalence subsets and to identify important boundary conditions. Also, basic boundary testing is based on the single-fault assumption. With this underlying assumption, BVA testing is generally not effective in evaluating complex combinations of dependent or semicoupled parameters.

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