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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. 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
B. Take periodic snapshots of the EBS volume
C. Periodically back up all data to a single compressed archive and archive to Amazon S3 using a parallelized multi-part upload
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/