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NEW QUESTION: 1
You configured the default backup device type as disk for RMAN backups. In your database, because of business requirements, you have to take a simultaneous duplicate backup of the data files when the RMAN BACKUP command is used.
What must you set using the RMAN CONFIGURE command to achieve this?
A. DATAFILE BACKUP COPIES FOR DEVICE TYPE DISK TO 2;
B. RETENTION POLICY TO REDUNDANCY 2;
C. DEVICE TYPE DISK PARALLELISM 2;
D. MAXSETSIZE TO 2;
Answer: B
Explanation:
Reference: http://docs.oracle.com/cd/B14117_01/server.101/b10734/rcmconc1.htm (Topic backup redundancy, first paragraph)
NEW QUESTION: 2
Refer to the exhibit.
The server on this network is configured with an MTU of 9216, and the two interfaces on router R1 are configured for MTUs of 2000 and 3000 as shown. What is the largest packet size that can pass between the workstation and the server?
A. 9216 bytes
B. 2000 bytes
C. 1500 bytes
D. 3000 bytes
Answer: A
NEW QUESTION: 3
Kylie eats at Moe's Diner every Thursday, but last Thursday she ate at Joe's. On Friday, she was sick to her stomach. It must have been the food at Joe's.
Which of the following is the best criticism of this argument?
A. It confuses cause and effect.
B. It does not identify the specific type of illness.
C. It assumes that she would not have gotten sick eating the same food at Moe's.
D. It does not take into consideration other possible causes.
E. It does not describe how long the illness lasted.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Kylie's stomachache could have been caused by any number of factors other than the food at Joe's.
Perhaps she ate or drank something that evening that did not agree with her. Perhaps she was nervous or anxious about something and that caused her stomach to be upset. Perhaps she caught the stomach flu.
Reversing causation is not possible, so choice b is incorrect. The argument does not necessarily assume she wouldn't have gotten sick eating the same food at Moe's (choice c); the passage doesn't say what she ate or whether she even could have eaten the same thing at Moe's. The only assumption here is that she was sickened by the food at Joe's. The argument does not specify the type of illness (choice d) or describe how long it lasted (choice e), but these are not the best criticisms of the argument.
Knowing more about the kind of illness she had might help us rule out food poisoning or other food related illnesses, but the best criticism is clearly a.
NEW QUESTION: 4
An organization has a write-intensive mobile application that uses Amazon API Gateway, AWS Lambda, and Amazon DynamoDB. The application has scaled well, however, costs have increased exponentially because of higher than anticipated Lambda costs. The application's use is unpredictable, but there has been a steady
20% increase in utilization every month.
While monitoring the current Lambda functions, the Solutions Architect notices that the execution-time averages 4.5 minutes. Most of the wait time is the result of a high-latency network call to a 3-TB MySQL database server that is on-premises. A VPN is used to connect to the VPC, so the Lambda functions have been configured with a five-minute timeout.
How can the Solutions Architect reduce the cost of the current architecture?
A. Replace the VPN with AWS Direct Connect to reduce the network latency to the on-premises MySQL database.Enable local caching in the mobile application to reduce the Lambda function invocation calls.Monitor the Lambda function performance; gradually adjust the timeout and memory properties to lower values while maintaining an acceptable execution time.Offload the frequently accessed records from DynamoDB to Amazon ElastiCache.
B. Replace the VPN with AWS Direct Connect to reduce the network latency to the on-premises MySQL database.Cache the API Gateway results to Amazon CloudFront.Use Amazon EC2 Reserved Instances instead of Lambda.Enable Auto Scaling on EC2, and use Spot Instances during peak times.Enable DynamoDB Auto Scaling to manage target utilization.
C. Migrate the MySQL database server into a Multi-AZ Amazon RDS for MySQL.Enable API caching on API Gateway to reduce the number of Lambda function invocations.Continue to monitor the AWS Lambda function performance; gradually adjust the timeout and memory properties to lower values while maintaining an acceptable execution time.Enable Auto Scaling in DynamoDB.
D. Migrate the MySQL database server into a Multi-AZ Amazon RDS for MySQL.Enable caching of the Amazon API Gateway results in Amazon CloudFront to reduce the number of Lambda function invocations.Monitor the Lambda function performance; gradually adjust the timeout and memory properties to lower values while maintaining an acceptable execution time.Enable DynamoDB Accelerator for frequently accessed records, and enable the DynamoDB Auto Scaling feature.
Answer: A