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NEW QUESTION: 1
After setting an AWS Direct Connect, which of the following cannot be done with an AWS Direct Connect Virtual Interface?
A. You can create a hosted virtual interface.
B. You can delete a virtual interface; if its connection has no other virtual interfaces, you can delete the connection.
C. You can exchange traffic between the two ports in the same region connecting to different Virtual Private Gateways (VGWs) if you have more than one virtual interface.
D. You can change the region of your virtual interface.
Answer: C
Explanation:
You must create a virtual interface to begin using your AWS Direct Connect connection. You can create a public virtual interface to connect to public resources or a private virtual interface to connect to your VPC. Also, it is possible to configure multiple virtual interfaces on a single AWS Direct Connect connection, and you'll need one private virtual interface for each VPC to connect to. Each virtual interface needs a VLAN ID, interface IP address, ASN, and BGP key. To use your AWS Direct Connect connection with another AWS account, you can create a hosted virtual interface for that account. These hosted virtual interfaces work the same as standard virtual interfaces and can connect to public resources or a VPC.
http://docs.aws.amazon.com/directconnect/latest/UserGuide/WorkingWithVirtualInterfaces.html

NEW QUESTION: 2
Was beschreibt, wie Komponenten und Aktivitäten zusammenarbeiten, um die Wertschöpfung zu erleichtern?
A. Die vier Dimensionen des Service Managements
B. Eine Servicebeziehung
C. Das ITIL-Service-Wertesystem
D. Die ITIL-Leitprinzipien
Answer: C

NEW QUESTION: 3
Your company built a TensorFlow neutral-network model with a large number of neurons and layers. The model fits well for the training data. However, when tested against new data, it performs poorly.
What method can you employ to address this?
A. Threading
B. Serialization
C. Dropout Methods
D. Dimensionality Reduction
Answer: C
Explanation:
https://medium.com/mlreview/a-simple-deep-learning-model-for-stock-price-prediction-using-tensorflow-30505541d877