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NEW QUESTION: 1
ソリューションアーキテクトは、スマートフォンモバイルアプリケーション上のユーザーのグループにAmazon CloudWatch Alarm通知を送信するためのソリューションを設計しています。
このソリューションの主なステップは何ですか？ （2つ選んでください。）
A. SNSトピックをAmazon SQLキューで購読し、キューから継続的にメッセージをポーリングします。
各モバイルプラットフォームのライブラリを使用して、メッセージをモバイルアプリケーションに送信します。
B. モバイルデバイス用のプラットフォームエンドポイントを作成し、プラットフォームエンドポイントでSNSトピックを購読します。
C. アラームが発生したときにAmazon SNSトピックに通知を送信するようにCloudWatch Alarmを設定します。
D. アラームがあるときはいつでも携帯電話番号に通知を送信するようにCloudWatchアラームを設定します。
E. アラームが発生したら通知をEメールアドレスに送信するようにCloudWatchアラームを設定します。
Answer: B,C
NEW QUESTION: 2
You are performing sentiment analysis using a CSV file that includes 12,000 customer reviews written in a short sentence format. You add the CSV file to Azure Machine Learning Studio and configure it as the starting point dataset of an experiment. You add the Extract N-Gram Features from Text module to the experiment to extract key phrases from the customer review column in the dataset.
You must create a new n-gram dictionary from the customer review text and set the maximum n-gram size to trigrams.
What should you select? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Vocabulary mode: Create
For Vocabulary mode, select Create to indicate that you are creating a new list of n-gram features.
N-Grams size: 3
For N-Grams size, type a number that indicates the maximum size of the n-grams to extract and store. For example, if you type 3, unigrams, bigrams, and trigrams will be created.
Weighting function: Leave blank
The option, Weighting function, is required only if you merge or update vocabularies. It specifies how terms in the two vocabularies and their scores should be weighted against each other.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/extract-n-gram-features-from-
NEW QUESTION: 3
Ziehen Sie die folgenden Security Engineering-Begriffe links auf die BEST-Definition rechts.
Answer:
Explanation:
Explanation
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