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NEW QUESTION: 1
A customer needs to ensure that the number of threads servicing an application does not exceed the number of database connections available to the application.
What step must you take to address this situation?
A. Configure a Max Threads Constraint and add your application to the list of applications for the Constraint.
B. Configure a Work Manager with a Minimum Threads Constraint tied to the Connection Pool and configure your application to use the Work Manager.
C. Configure a global MaxThreads constraint and target it to the server or clusters where your application is deployed.
D. Configure the startup parameter "-Dwls-maxThreads" to be the same as the number of database connections configured.
E. Configure a Work Manager with a Maximum Threads Constraint tied to the Connection Pool and configuration your application to use the Work Manager.
Answer: E
Explanation:
Explanation/Reference:
To manage work in your applications, you define one or more of the following Work Manager components:
Fair Share Request Class:
Response Time Request Class:
Min Threads Constraint:
Max Threads Constraint:
Capacity Constraint
Context Request Class:
Note:
* max-threads-constraint-This constraint limits the number of concurrent threads executing requests from the constrained work set. The default is unlimited. For example, consider a constraint defined with maximum threads of 10 and shared by 3 entry points. The scheduling logic ensures that not more than 10 threads are executing requests from the three entry points combined.
A max-threads-constraint can be defined in terms of a the availability of resource that requests depend upon, such as a connection pool.
A max-threads-constraint might, but does not necessarily, prevent a request class from taking its fair share of threads or meeting its response time goal. Once the constraint is reached the server does not schedule requests of this type until the number of concurrent executions falls below the limit. The server then schedules work based on the fair share or response time goal.
* WebLogic Server prioritizes work and allocates threads based on an execution model that takes into account administrator-defined parameters and actual run-time performance and throughput.
Administrators can configure a set of scheduling guidelines and associate them with one or more applications, or with particular application components.
* WebLogic Server uses a single thread pool, in which all types of work are executed. WebLogic Server prioritizes work based on rules you define, and run-time metrics, including the actual time it takes to execute a request and the rate at which requests are entering and leaving the pool.
The common thread pool changes its size automatically to maximize throughput. The queue monitors throughput over time and based on history, determines whether to adjust the thread count. For example, if historical throughput statistics indicate that a higher thread count increased throughput, WebLogic increases the thread count. Similarly, if statistics indicate that fewer threads did not reduce throughput, WebLogic decreases the thread count. This new strategy makes it easier for administrators to allocate processing resources and manage performance, avoiding the effort and complexity involved in configuring, monitoring, and tuning custom executes queues.
Reference: Using Work Managers to Optimize Scheduled Work

NEW QUESTION: 2
You want to use AWS CodeDeploy to deploy an application to Amazon EC2 instances running within an Amazon Virtual Private Cloud (VPC).
What criterion must be met for this to be possible?
A. It is not currently possible to use AWS CodeDeploy to deploy an application to Amazon EC2 instances running within an Amazon Virtual Private Cloud (VPC.)
B. The AWS CodeDeploy agent installed on the Amazon EC2 instances must be able to access only the public Amazon S3 service endpoint.
C. The AWS CodeDeploy agent installed on the Amazon EC2 instances must be able to access only the public AWS CodeDeploy endpoint.
D. The AWS CodeDeploy agent installed on the Amazon EC2 instances must be able to access the public AWS CodeDeploy and Amazon S3 service endpoints.
Answer: D
Explanation:
Explanation
You can use AWS CodeDeploy to deploy an application to Amazon EC2 instances running within an Amazon Virtual Private Cloud (VPC).
However, the AWS CodeDeploy agent installed on the Amazon EC2 instances must be able to access the public AWS CodeDeploy and Amazon S3 service endpoints.
http://aws.amazon.com/codedeploy/faqs/

NEW QUESTION: 3
Which of the following application attacks is used against a corporate directory service where there are unknown servers on the network?
A. Rogue access point
B. Packet sniffing
C. LDAP injection
D. Zero day attack
Answer: C
Explanation:
A directory service is accessed by using LDAP (Lightweight Directory Access Protocol). LDAP injection is an attack against a directory service. Just as SQL injection attacks take statements that are input by users and exploit weaknesses within, an LDAP injection attack exploits weaknesses in LDAP (Lightweight Directory Access Protocol) implementations. This can occur when the user's input is not properly filtered, and the result can be executed commands, modified content, or results returned to unauthorized queries. The best way to prevent LDAP injection attacks is to filter the user input and to use a validation scheme to make certain that queries do not contain exploits. One of the most common uses of LDAP is associated with user information. Numerous applications exist-such as employee directories-where users find other users by typing in a portion of their name. These queries are looking at the cn value or other fields (those defined for department, home directory, and so on). Someone attempting LDAP injection could feed unexpected values to the query to see what results are returned. All too often, finding employee information equates to finding usernames and values about those users that could be portions of their passwords.

NEW QUESTION: 4
How are ADF components shared among applications? (Choose the best answer.)
A. by defining a custom JAR file and sharing it in a source control system
B. by creating shared application modules and ensuring all developers use them
C. by using a source control system to share components
D. by creating an ADF Library of components and deploying it to a shared location
E. by selecting the Shared Library check box when adding libraries and JARs to a project
Answer: D
Explanation:
Explanation/Reference:
If you have JAR files that can be reused by other projects, such as third-part JAR files, you can use
JDeveloper to place them in an accessible location and create a library file ( .library) to designate them.
The consumer can use JDeveloper to navigate to this location and add the JAR to the project.
Place the JAR files in an accessible location for both the producer and the consumer of these JAR files.
For example, the directory may be on a network drive where other shared files are located.
References: https://docs.oracle.com/cd/E15051_01/web.1111/b31974/
reusing_components.htm#ADFFD21754