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NEW QUESTION: 1

A. Option D
B. Option C
C. Option B
D. Option A
Answer: A

NEW QUESTION: 2
-- Exhibit --
[edit firewall family inet filter input-filter]
user@router# show
term my-policy {
from {
source-address {
151.43.62.0/24;
}
}
then {
count;
}
}
term else {
then {
discard;
}
}
-- Exhibit --
Which two tasks are accomplished by the firewall filter shown in the exhibit? (Choose two.)
A. Traffic matching the my-policy term will be counted and accepted.
B. Traffic not matching the my-policy term will be discarded.
C. Traffic not matching the my-policy term will be accepted.
D. Traffic matching the my-policy term will be counted and discarded.
Answer: A,B

NEW QUESTION: 3
In Microsoft Dynamics AX 2012, which of the following statements describe Optimistic Concurrency Check (OCC) on a table? (Choose all that apply.)
A. OCC means that fewer locks must be placed on database records.
B. OCC means that more locks have to be placed on database records.
C. OCC presumes that any record retrieved from the database is not updated until it is actually proven to be updated by the database.
D. The system performs OCC by comparing the ModifiedBy field of the record buffer and the actual database record.
E. The system performs OCC by comparing the recVersion field of the record buffer and the actual record in the database.
Answer: A,C,E

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 create an Azure Machine Learning service datastore in a workspace. The datastore contains the following files:
* /data/2018/Q1 .csv
* /data/2018/Q2.csv
* /data/2018/Q3.csv
* /data/2018/Q4.csv
* /data/2019/Q1.csv
All files store data in the following format:
id,M,f2,l
1,1,2,0
2,1,1,1
32,10
You run the following code:

You need to create a dataset named training_data and load the data from all files into a single data frame by using the following code:

Solution: Run the following code:

Does the solution meet the goal?
A. No
B. Yes
Answer: B