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NEW QUESTION: 1
When a bathtub curve is used, one characteristic of the flat center portion of the curve is that during this period Response:
A. There can be only one type of failure in the system.
B. The equipment can be considered highly reliable.
C. The reliability of the system can be expressed as an exponential function
D. The time of the next failure is predictable from the time of the last failure.
Answer: C
NEW QUESTION: 2
The NLS_TERRITORY parameter specifies the default conventions to be used for which of the following globalization elements? (Choose all that apply.)
A. None of the above
B. Date format
C. All of the above
D. Group separator
E. Decimal character
F. First day of the month
Answer: B,D,E
Explanation:
Parameter type String Syntax NLS_TERRITORY = territory Default value Operating system-dependent Modifiable ALTER SESSION Range of values Any valid territory name Basic Yes
NLS_TERRITORY specifies the name of the territory whose conventions are to be followed for
day and week numbering.
This parameter also establishes the default date format, the default decimal character and group
separator, and the default ISO and local currency symbols.
For information on these settings, see "NLS_DATE_FORMAT",
"NLS_NUMERIC_CHARACTERS", "NLS_CURRENCY", and "NLS_ISO_CURRENCY".
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 are using Azure Machine Learning to run an experiment that trains a classification model.
You want to use Hyperdrive to find parameters that optimize the AUC metric for the model. You configure a HyperDriveConfig for the experiment by running the following code:
You plan to use this configuration to run a script that trains a random forest model and then tests it with validation data. The label values for the validation data are stored in a variable named y_test variable, and the predicted probabilities from the model are stored in a variable named y_predicted.
You need to add logging to the script to allow Hyperdrive to optimize hyperparameters for the AUC metric.
Solution: Run the following code:
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Use a solution with logging.info(message) instead.
Note: Python printing/logging example:
logging.info(message)
Destination: Driver logs, Azure Machine Learning designer
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-debug-pipelines
NEW QUESTION: 4
________________ is a gauge to measure a potential source against to determine its value.
A. Organizational policy
B. Evaluation standard
C. Independent estimates
D. Contract negotiation
Answer: B