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NEW QUESTION: 1
When you post a goods issue document, which journal entries will be created?
A. The values of the issued goods will be posted to the Inventory account and the Inventory offset
-
Decrease account.
B. The values of the issued goods will be posted to the Inventory account and the Cost of Goods Sold account.
C. The values of the issued goods will be posted to the Inventory account and to the Inventory offset - Increase account.
D. The values of the issued goods will be posted to the Inventory account and the Item in Process account.
Answer: A

NEW QUESTION: 2
Which of the following are true about the use of machine learning in a cloud environment? (Choose two).
A. Machine learning can just be hosted in the cloud for managed services.
B. Using machine learning solutions in the cloud removes the data-gathering step from the learning process.
C. Specialized machine learning algorithms can be deployed to optimize results for specific scenarios.
D. Machine learning can leverage processes in a cloud environment through the use of cloud storage and auto-scaling.
E. Just one type of cloud storage is available in the cloud for machine learning workloads.
F. Machine learning requires a specialized IT team to create the machine learning models from scratch.
Answer: C,D

NEW QUESTION: 3
ソリューションアーキテクトは、Amazon Kinesis Data Streamsに基づいてシステムを設計しました。ワークフローが実稼働に移行した後、会社はそのパフォーマンスが遅いことに気付き、Kinesis Data Streamsを問題として特定しました。
ストリームの1つは、合計10 Mb / sのスループットを備えています。
ソリューションアーキテクトは、パフォーマンスを改善するために何を推奨すべきですか？
A. UpdateshardCountコマンドを実行して、ストリーム内のシャードの数を増やします。
B. ワークフローを変更してAmazon Kinesis Data Firehoseを使用し、スループットを高めます。
C. AWS Lambdaを使用してデータを前処理し、レコードをCSVなどのより単純な形式に変換します。
D. Me rgeshardコマンドを実行して、消費者がより簡単に処理できるシャードの数を減らします。
Answer: A