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NEW QUESTION: 1
Which of the following statements regarding DiffServ-TE LSPs is true?
A. In the Maximum Allocation Model (MAM), each CT receives dedicated bandwidth constraints.
B. The Maximum Allocation Model (MAM) provides the most efficient bandwidth utilization model
C. In the Russian Doll Model (RDM), a CT2 LSP automatically preempts a CT1 LSP.
D. Using the Russian Doll Mode! (RDM), a CT1 LSP may use unreserved CTO bandwidth.
Answer: A
Explanation:
Section: Volume A
NEW QUESTION: 2
If image clarity changes are made within the camera web interface, but are not reflected within a Video Management Software (VMS), what is the most likely cause of the camera not accepting the settings?
A. The camera's advanced settings need to be changed first
B. The user does not have administrative rights to change the settings
C. The VMS is overwriting the changes in the camera
D. The camera is faulty and needs to be replaced
Answer: C
NEW QUESTION: 3
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、指定された目標を満たす可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合がありますが、他の質問セットには正しい解決策がない場合があります。
このセクションの質問に回答した後は、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
Azure Machine Learningサービスのデータストアをワークスペースに作成します。データストアには次のファイルが含まれています。
* /data/2018/Q1.csv
* /data/2018/Q2.csv
* /data/2018/Q3.csv
* /data/2018/Q4.csv
* /data/2019/Q1.csv
すべてのファイルは、次の形式でデータを保存します。
id、f1、f2i
1,1.2,0
2,1,1、
1 3,2.1,0
次のコードを実行します。
次のコードを使用して、training_dataという名前のデータセットを作成し、すべてのファイルから単一のデータフレームにデータを読み込む必要があります。
解決策：次のコードを実行します。
ソリューションは目標を達成していますか？
A. はい
B. いいえ
Answer: B
Explanation:
Use two file paths.
Use Dataset.Tabular_from_delimeted, instead of Dataset.File.from_files as the data isn't cleansed.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-register-datasets