AWS-Certified-Machine-Learning-Specialty-KR Practice Questions

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NEW QUESTION: 1
トレーニングクラスターと推論クラスターを含むAzure Machine Learningワークスペースがあります。
Azure Machine Learningデザイナーを使用して分類モデルを作成する予定です。
クライアントアプリケーションがデータをHTTPリクエストとして送信し、予測をレスポンスとして受信できることを確認する必要があります。
どの3つのアクションを順番に実行する必要がありますか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序に並べます。

Answer:
Explanation:

1 - Create a batch inference pipeline and run the pipeline on the compute cluster.
2 - Deploy a service to the compute cluster.
3 - Create a pipeline that trains a classification model and run the pipeline on the compute cluster.

NEW QUESTION: 2

A. Option A
B. Option B
C. Option D
D. Option C
Answer: A
Explanation:

https://d0.awsstatic.com/whitepapers/Big_Data_Analytics_Options_on_AWS.pdf

NEW QUESTION: 3
Welche der folgenden Überlegungen sind bei der Entwicklung eines Informationssicherheits-Managementsystems zu berücksichtigen?
A. Identifizieren Sie das Niveau des Restrisikos, das für das Management tolerierbar ist
B. Identifizieren Sie die relevanten gesetzlichen und behördlichen Compliance-Anforderungen
C. Verstehen Sie den Wert der Informationsressourcen
D. Geben Sie die vertraglichen Sicherheitsverpflichtungen an, die für die Organisationen gelten
Answer: B

NEW QUESTION: 4
Unlike the 2/3G network, the concept of reselection priority is introduced in the LTE system. Which of the following is correct? (Multiple choice)
A. The priority configuration unit is the frequency point, so different cells in the same carrier frequency have the same priority.
B. In the LTE system, the network can configure the priorities of different frequency points or frequency groups and provide broadcasts to inform the UE in the system message that the corresponding parameter is CellReselectionPriority, and the value is (0....7).
C. By configuring the priority of each frequency point, the network can more easily guide the terminal to re-elect to the high-priority cell to achieve balanced network load: improve resource utilization, ensure UE signal quality, etc.
Answer: A,B,C