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NEW QUESTION: 1
You are implementing an ABAP Managed Database Procedures (AMDP) for SAP HANA. What do you have to do in the corresponding ABAP class?
Please choose the correct answer.
Response:
A. Declare the ABAP class as a sub-class of CL_AMDP_RUNTIME_HDB.
B. Set the visibility of the corresponding class method in the declaration section to PUBLIC.
C. Implement the ABAP AMDP_HDB Event Handler.
D. Implement the interface IF_AMDP_MARKER_HD
Answer: D

NEW QUESTION: 2
Hinweis: Diese Frage ist Teil einer Reihe von Fragen, die dasselbe Szenario darstellen. Jede Frage in der Reihe enthält eine eindeutige Lösung, mit der die angegebenen Ziele erreicht werden können. Einige Fragensätze haben möglicherweise mehr als eine richtige Lösung, während andere möglicherweise keine richtige Lösung haben.
Nachdem Sie eine Frage in diesem Abschnitt beantwortet haben, können Sie NICHT mehr darauf zurückkommen. Infolgedessen werden diese Fragen nicht im Überprüfungsbildschirm angezeigt.
Ihr Unternehmen verwendet Windows AutoPilot, um die Computereinstellungen von Computern zu konfigurieren, die an Benutzer ausgegeben wurden.
Ein Benutzer mit dem Namen Benutzer1 verfügt über einen Computer mit dem Namen Computer1, auf dem Windows 10 ausgeführt wird. Benutzer1 verlässt das Unternehmen.
Sie planen, den Computer an einen Benutzer mit dem Namen Benutzer2 zu übertragen.
Sie müssen sicherstellen, dass Benutzer2 beim ersten Starten des Computers aufgefordert wird, die Spracheinstellung auszuwählen und der Lizenzvereinbarung zuzustimmen.
Lösung: Sie führen einen Remote-Windows-Autopilot-Reset durch.
Erfüllt dies das Ziel?
A. ja
B. Nein
https://docs.microsoft.com/en-us/windows/deployment/windows-autopilot/windows-autopilot-reset-remote
Answer: B

NEW QUESTION: 3
You are building an experiment using the Azure Machine Learning designer.
You split a dataset into training and testing sets. You select the Two-Class Boosted Decision Tree as the algorithm.
You need to determine the Area Under the Curve (AUC) of the model.
Which three modules should you use in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation

Step 1: Train Model
Two-Class Boosted Decision Tree
First, set up the boosted decision tree model.
1. Find the Two-Class Boosted Decision Tree module in the module palette and drag it onto the canvas.
2. Find the Train Model module, drag it onto the canvas, and then connect the output of the Two-Class Boosted Decision Tree module to the left input port of the Train Model module.
The Two-Class Boosted Decision Tree module initializes the generic model, and Train Model uses training data to train the model.
3. Connect the left output of the left Execute R Script module to the right input port of the Train Model module (in this tutorial you used the data coming from the left side of the Split Data module for training).
This portion of the experiment now looks something like this:

Step 2: Score Model
Score and evaluate the models
You use the testing data that was separated out by the Split Data module to score our trained models. You can then compare the results of the two models to see which generated better results.
Add the Score Model modules
1. Find the Score Model module and drag it onto the canvas.
2. Connect the Train Model module that's connected to the Two-Class Boosted Decision Tree module to the left input port of the Score Model module.
3. Connect the right Execute R Script module (our testing data) to the right input port of the Score Model module.

Step 3: Evaluate Model
To evaluate the two scoring results and compare them, you use an Evaluate Model module.
1. Find the Evaluate Model module and drag it onto the canvas.
2. Connect the output port of the Score Model module associated with the boosted decision tree model to the left input port of the Evaluate Model module.
3. Connect the other Score Model module to the right input port.