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NEW QUESTION: 1
When using a packaged function in a query, what is true?
A. The COMMIT and ROLLBACK commands are allowed in the packaged function.
B. The packaged function can execute an INSERT, UPDATE, or DELETE statement against the table that is being queried if it is used in a subquery.
C. The packaged function cannot execute an INSERT, UPDATE, or DELETE statement against the table that is being queried.
D. You can not use packaged functions in a query statement.
E. The packaged function can execute an INSERT, UPDATE, or DELETE statement against the table that is being queried if the pragma RESTRICT REFERENCES is used.
Answer: C
NEW QUESTION: 2
A company is setting up a VPC peering connection between its VPC and a customer's VPC. The company VPC is an IPv4 CIDR block of 172.16.0.0/16, and the customer's is an IPv4 CIDR block of 10.0.0.0/16. The SysOps Administrator wants to be able to ping the customer's database private IP address from one of the company's Amazon EC2 instances.
What action should be taken to meet the requirements?
A. Instruct the customer to create a virtual private gateway to link the two VPCs.
B. Instruct the customer to set up a VPC with the same IPv4 CIDR block as that of the source VPC: 172.16.0.0/16.
C. Ensure that both VPC owners manually add a route to the VPC route tables that points to the IP address range of the other VPC.
D. Ensure that both accounts are linked and are part of consolidated billing to create a file sharing network, and then enable VPC peering.
Answer: C
Explanation:
https://docs.aws.amazon.com/vpc/latest/peering/peering-configurations-full-access.html#two- vpcs-full-access
NEW QUESTION: 3
Refer to the exhibit
Which syslog logging facility and severity level is enabled on this AP ?
A. logging trap severity 7, logging syslog facility local 7
B. logging trap severity 6, logging syslog facility local7
C. Logging trap severity 9,logging syslog facility kernel
D. logging trap severity 5,logging syslog facility local14
E. logging trap severity 3,logging syslog facility sys 10
Answer: A
NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are creating a new experiment in Azure Machine Learning Studio.
One class has a much smaller number of observations than the other classes in the training set.
You need to select an appropriate data sampling strategy to compensate for the class imbalance.
Solution: You use the Stratified split for the sampling mode.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation
Instead use the Synthetic Minority Oversampling Technique (SMOTE) sampling mode.
Note: SMOTE is used to increase the number of underepresented cases in a dataset used for machine learning.
SMOTE is a better way of increasing the number of rare cases than simply duplicating existing cases.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote