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NEW QUESTION: 1
Wenn für den Prüfpunkt keine Bewertung definiert wurde, wird die Bewertung aus den Einstellungen des Qualitätsmanagements auf Werksebene übernommen.
A. Richtig
B. Falsch
Answer: B

NEW QUESTION: 2
You have a server with a 5O0GB Amazon EBS data volume. The volume is 80% full. You need to back up the volume at regular intervals and be able to re-create the volume in a new Availability Zone in the shortest time possible. All applications using the volume can be paused for a period of a few minutes with no discernible user impact.
Which of the following backup methods will best fulfill your requirements?
A. Periodically back up all data to a single compressed archive and archive to Amazon S3 using a parallelized multi-part upload
B. Take periodic snapshots of the EBS volume
C. Create another EBS volume in the second Availability Zone attach it to the Amazon EC2 instance, and use a disk manager to mirror me two disks
D. Use a third party Incremental backup application to back up to Amazon Glacier
Answer: B
Explanation:
Explanation
Since an EBS volume should be in the same AZ as the EC2 instance. You cannot connect a EBS volume in another AZ. http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-restoring-volume.htmlEBS volumes can only be attached to EC2 instances within the same Availability Zone.

NEW QUESTION: 3
群衆感情モデルの評価戦略を定義する必要があります。
順番に実行する必要がある3つのアクションはどれですか？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エリアに移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation

Step 1: Define a cross-entropy function activation
When using a neural network to perform classification and prediction, it is usually better to use cross-entropy error than classification error, and somewhat better to use cross-entropy error than mean squared error to evaluate the quality of the neural network.
Step 2: Add cost functions for each target state.
Step 3: Evaluated the distance error metric.
References:
https://www.analyticsvidhya.com/blog/2018/04/fundamentals-deep-learning-regularization-techniques/