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NEW QUESTION: 1
A developer wants to use WebServiceContext in the web service endpoint. Which of the following is the correct way to get WebServiceContext object ? (Choose one)
A. @WebService
public class MyService {
@Resource
WebServiceContext ctxt;
public String echo(String str) {
...
}
B. @WebService
public class MyService {
WebServiceContext ctxt;
public String echo(String str) { ctxt = jndi.lookup("java:com/env/WebServiceContext"); }
C. @WebService
public class MyService {
@WebServiceContext
WebServiceContext ctxt;
public String echo(String str) {
...
}
D. @WebService
public class MyService {
@Inject
WebServiceContext ctxt;
public String echo(String str) {
...
}
Answer: A

NEW QUESTION: 2
When using Business Rules Check in Enterprise Data Quality (EDQ), how should you apply a specific rule to a subset of the data being processed?
A. Apply logic to the Check such that the records you do not want to apply the rule to are always given a No Data result.
B. Add a condition in the Business Rules data and reference it in the rule definition.
C. Filter the data before processing It with Business Rules Check.
D. Use multiple instances of Business Rules Check with different rules enabled.
Answer: B

NEW QUESTION: 3
A startup company recently migrated a large ecommerce website to AWS The website has experienced a 70% increase in sales. Software engineers are using a private GitHub repository to manage code. The devops team is using Jenkins for builds and unit testing. The engineers need to receive notifications for bad builds and zero downtime during deployments. The engineers also need to ensure any changes to production are seamless for users and can be rolled back in the event of a major issue.
The software engineers have decided to use AWS CodePipeline to manage their build and deployment process. Which solution will meet these requirements?
A. Use GitHub webhooks to trigger the CodePipeline pipeline. Use the Jenkins plugin for AWS CodeBuild to conduct unit testing. Deploy in a blue/green deployment using AWS CodeDeploy.
B. Use GitHub websockets to trigger the CodePipeline pipeline. Use AWS X-Ray for unit testing and static code analysis. Send alerts to an Amazon SNS topic for any bad builds. Deploy in a blue/green deployment using AWS CodeDeploy
C. Use GitHub websockets to trigger the CodePipeline pipeline. Use AWS X-Ray for unit testing and static code analysis. Deploy in an in-place, all-at-once deployment configuration using AWS CodeDeploy
D. Use GitHub websockets to trigger the CodePipeline pipeline. Use the Jenkins plugin for AWS Code Build to conduct unit testing. Send alerts to an Amazon SNS topic for any bad builds. Deploy in an in-place all-at-once deployment configuration using AWS CodeDeploy.
Answer: A

NEW QUESTION: 4
Which three statements are true about standby redo logs in a Data Guard configuration with no Oracle Streams or Goldengate configured? (Choose three.)
A. It is recommended to have them on the primary database.
B. Only standby databases can write redo to them.
C. The LGWR process writes to them on a standby database.
D. They are required on a logical standby for real-time apply.
E. They are required on a physical standby for real-time apply.
F. They are required only for synchronous redo transport.
Answer: B,D,E
Explanation:
Explanation
A: SQL Apply converts the data from the archived redo log or standby redo log in to SQL statements and then executes these SQL statements on the logical standby database.
Note: Log apply services use the following methods to maintain physical and logical standby databases:
* Redo apply (physical standby databases only)
* SQL Apply (logical standby databases only)
E: Standby redo log files are required to use real-time apply.
By default, the redo data is applied from archived redo log files. When performing Redo Apply, a physical standby database can use the real-time apply feature to apply redo directly from the standby redo log files as they are being written by the RFS process.
Applying Redo Data to Physical Standby Databases
C: The archiver (ARCn) process or the log writer (LGWR) process on the primary database can transmit redo data directly to remote standby redo log files, potentially eliminating the need to register a partial archived log file (for example, to recover after a standby database crashes).