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NEW QUESTION: 1
技術者がプロジェクタの問題を修正するように依頼されました。デモンストレーション中は、プロジェクタのランプが短時間オフになります。技術者がランプを交換した後、ランプが消える直前に表示される追加のメッセージで問題が続きました。次のMOSTのどれを実行する必要があるでしょうか？
（2つ選択してください。）
A. ビデオ解像度を変更します
B. 冷却ファンを交換します
C. ランプ寿命カウンターをリセットします
D. ラップトップビデオドライバーを更新します
E. 明るさを調整します
F. 高ルーメンランプを取り付けます
Answer: B,C

NEW QUESTION: 2
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 have an Azure ML experiment that contains an intermediate dataset.
You need to explore data from the intermediate dataset by using Jupyter.
Solution: You add a Convert to CSV module to the Azure ML experiment and then open the module output in a new notebook.
Does this meet the goal?
A. No
B. Yes
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Access intermediate datasets from Machine Learning experiments
The following steps show an example that creates an experiment, runs it and accesses the intermediate dataset.
1. Create a new experiment.
2. Insert an Adult Census Income Binary Classification dataset module.
3. Insert a Split module, and connect its input to the dataset module output.
4. Insert a Convert to CSV module and connect its input to one of the Split module outputs.
5. Save the experiment, run it, and wait for it to finish running.
6. Click the output node on the Convert to CSV module.
7. When the context menu appears, select Generate Data Access Code
8. Select the code snippet and copy it to your clipboard from the window that appears..
9. Paste the code in your notebook.
Note: After an experiment is run in the Machine Learning Studio, it is possible to access the intermediate datasets from the output nodes of modules. Intermediate datasets are data that has been created and used for intermediate steps when a model tool has been run.
Intermediate datasets can be accessed as long as the data format is compatible with the Python client library.
The following formats are supported (constants for these are in the azureml.DataTypeIds class):
PlainText

GenericCSV

GenericTSV

GenericCSVNoHeader

GenericTSVNoHeader

References: https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/python- data-access

NEW QUESTION: 3
Which of the following tasks are NOT part of the project execution phase?
Each correct answer represents a complete solution. Choose two.
A. Reviewing a schedule baseline
B. Creating a baseline schedule
C. Reviewing issues tracking logs
D. Making an expected resources list
Answer: B,D

NEW QUESTION: 4
Scenario
In this simulation, you are task to examine the various authentication events using the ISE GUI. For example, you should see events like Authentication succeeded, Authentication failed and etc...
Based on the events information, you will need to answer four multiple choice questions.
Instructions
To access the ISE GUI, from the topology diagram, click on the ISE icon.
In this simulation, only the GUI screens that are used to examine the events in ISE are functional, all the other GUI screens are not accessible.
When examining an event details, once you open the event details screen, just close the event details screen to return to the previous screen.
Use the simulation scroll bars to help view the whole screen output if needed.
Some of the event details screen were too long to capture in one pic for this simulation, therefore, two screen shots were captured and then combined into one screen to make it fit.
Some other screen shots are also only partially shown with the information required for you to answer the questions.


Which four statements are correct regarding the event that occurred at 2014-05-07 00:19:07.004? (Choose four.)
A. The it1 user machine has been profiled as a Microsoft-Workstation.
B. The it1 user was successfully authenticated against AD1 identity store.
C. The it1 user was matched to the IT_Corp authorization policy.
D. The IT_Corp authorization profile were applied.
E. The it1 user machine has passed all the posture assessment tests.
F. The it1 user was authenticated using MAB.
G. The it1 user supplicant used the PEAP (EAP-MSCHAPv2) authentication method.
Answer: A,B,C,G
Explanation:
Explanation/Reference:
Explanation:
Here are the details shown for this event: