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NEW QUESTION: 1
Which of the following tools is used to locate lost files and partitions to restore data from a formatted, damaged, or lost partition in Windows and Apple Macintosh computers?
A. VirtualLab
B. Easy-Undelete
C. Recover4all Professional
D. File Scavenger
Answer: A

NEW QUESTION: 2
다음 중 IS 감사자가 재해 복구 감사 중에 확인하는 가장 중요한 것은 무엇입니까?
A. 재해 복구 테스트를 수행합니다.
B. 재해 복구 계획이 정기적으로 업데이트됩니다.
C. 미디어는 내화성 운전실에 보관됩니다.
D. 정기적인 백업을 만들어 오프 사이트에 저장합니다.
Answer: A

NEW QUESTION: 3
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 plan to use a Python script to run an Azure Machine Learning experiment. The script creates a reference to the experiment run context, loads data from a file, identifies the set of unique values for the label column, and completes the experiment run:
from azureml.core import Run
import pandas as pd
run = Run.get_context()
data = pd.read_csv('data.csv')
label_vals = data['label'].unique()
# Add code to record metrics here
run.complete()
The experiment must record the unique labels in the data as metrics for the run that can be reviewed later.
You must add code to the script to record the unique label values as run metrics at the point indicated by the comment.
Solution: Replace the comment with the following code:
run.upload_file('outputs/labels.csv', './data.csv')
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
label_vals has the unique labels (from the statement label_vals = data['label'].unique()), and it has to be logged.
Note:
Instead use the run_log function to log the contents in label_vals:
for label_val in label_vals:
run.log('Label Values', label_val)
Reference:
https://www.element61.be/en/resource/azure-machine-learning-services-complete-toolbox-ai