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NEW QUESTION: 1
A company is adopting AWS CodeDeploy to automate its application deployments for a Java-Apache Tomcat application with an Apache webserver. The Development team started with a proof of concept, created a deployment group for a developer environment, and performed functional tests within the application. After completion, the team will create additional deployment groups for staging and production The current log level is configured within the Apache settings, but the team wants to change this configuration dynamically when the deployment occurs, so that they can set different log level configurations depending on the deployment group without having a different application revision for each group. How can these requirements be met with the LEAST management overhead and without requiring different script versions for each deployment group?
A. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_NAME to identify which deployment group the instances is part of. Use this information to configure the log level settings. Reference this script as part of the BeforeInstall lifecycle hook in the appspec.yml file
B. Create a CodeDeploy custom environment variable for each environment. Then place a script into the application revision that checks this environment variable to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the ValidateService lifecycle hook in the appspec.yml file.
C. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ID to identify which deployment group the instance is part of to configure the log level settings. Reference this script as part of the Install lifecycle hook in the appspec.yml file.
D. Tag the Amazon EC2 instances depending on the deployment group. Then place a script into the application revision that calls the metadata service and the EC2 API to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference the script as part of the Afterinstall lifecycle hook in the appspec.yml file.
Answer: A
Explanation:
https://docs.aws.amazon.com/codedeploy/latest/userguide/reference-appspec-file-structure-hooks.html

NEW QUESTION: 2
What are two features of the three-tier designs? (Choose two.)
A. uses only Layer 2 access on the Access and the Core with Layer 3 routing and access control provided at the distribution layer
B. adds a distribution layer to free up resources from the Core for improved performance and routing throughput
C. is considered legacy by requiring a large flat layer-two broadcast domain from Core to Access and should be avoided
D. removes the distribution layer in favor of a spine-leaf design used in modern data center deployments
E. a more scalable design over by leveraging a distribution layer to handle Layer 3 routing and access control in large deployments
Answer: B,E

NEW QUESTION: 3
A penetration tester identifies the following findings during an external vulnerability scan:

Which of the following attack strategies should be prioritized from the scan results above?
A. Obsolete software may contain exploitable components
B. Cryptographically weak protocols may be intercepted
C. Weak password management practices may be employed
D. Web server configurations may reveal sensitive information
Answer: B

NEW QUESTION: 4
Which two are true about project data objects? Select two.
A. Any process in the project can access a project data object.
B. The value of a project data object does not vary between processes.
C. Project data objects can be used in data associations and expressions.
D. Project data objects can be only used as input arguments to a process.
Answer: A,C
Explanation:
Project data objects are data objects that you define in a project. All processes
within a project have access to the data object defined (A), though the value changes according to
the process using them (not B). In addition, the engine stores the value of those marked as
business indicators to the process analytics databases if the project is configured to use them.
As with other flow objects that accept data associations, you can use expressions to change the
values of data objects (not C, D).
Note: Data Objects are variables used to define the type of information used by your business
process. They are also used to store the value of this information.
Basic and complex data types can both be defined as either process or project data objects. This
determines the scope of the variable.
Process data objects are data objects that are defined for a specific process. In contrast, project
data objects are defined for an entire project.
Project data objects allow you to share data between processes. For example, the Purchase
Order process and the Request Approval process may both track the value of the employee that
created the request, or the priority of the request.
Project data objects ensure that all processes in a project use the same data. Each process must
assign and update the value of this data.
The main benefit of defining project data objects is that after publishing your project you can
configure Oracle BPM WorkSpace views to display the values of those variables. This is possible
only if you use project data objects.
Note 2:
Although project data objects allow you to define data objects that are used by all processes in a
project, they are not "global" data objects. Each process within your project uses its own version of
the data object. Project data objects are not used to share data between processes.
Therefore, you can only use process data objects within the process where they are created, while
project data objects are applicable to the entire project. This is known as variable scope.
Reference: Oracle Fusion Middleware Business Process Composer User's Guide for Oracle
Business Process Management, 11g Release 1 (11.1.1.5.0), Working with Data Objects and
Expressions