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NEW QUESTION: 1
A. Option C
B. Option A
C. Option D
D. Option B
Answer: D
Explanation:
To communicate with the worker role, a web role instance places messages on to a queue. A worker role instance polls the queue for new messages, retrieves them, and processes them. There are a couple of important things to know about the way the queue service works in Azure. First, you reference a queue by name, and multiple role instances can share a single queue. Second, there is no concept of a typed message; you construct a message from either a string or a byte array. An individual message can be no more than 64 kilobytes (KB) in size.
References:
https://msdn.microsoft.com/en-gb/library/ff803365.aspx
http://azure.microsoft.com/en-gb/documentation/articles/cloud-services-dotnet-multi-tier-app-using- service-bus-queues/
NEW QUESTION: 2
What must be used in Security Policy Rule that contain addresses where NAT policy applies?
A. Post-NAT addresse and Post-Nat zones
B. Post-Nat addresses and Pre-NAT zones
C. Pre-NAT addresse and Pre-NAT zones
D. Pre-NAT addresse and Post-Nat zones
Answer: D
Explanation:
NAT Policy Rule Functionality
Upon ingress, the firewall inspects the packet and does a route lookup to determine the egress interface and zone. Then the firewall determines if the packet matches one of the NAT rules that have been defined, based on source and/or destination zone. It then evaluates and applies any security policies that match the packet based on the original (pre-NAT) source and destination addresses, but the post-NAT zones.
https://www.paloaltonetworks.com/documentation/70/pan-os/pan-os/networking/nat-policy-rules
NEW QUESTION: 3
For a machine learning progress, how should you split data for training and evaluation?
A. Randomly split the data into rows for training and rows for evaluation.
B. Use features for training and labels for evaluation.
C. Randomly split the data into columns for training and columns for evaluation.
D. Use labels for training and features for evaluation.
Answer: C
Explanation:
Explanation
In Azure Machine Learning, the percentage split is the available technique to split the data. In this technique, random data of a given percentage will be split to train and test data.
Reference:
https://www.sqlshack.com/prediction-in-azure-machine-learning/
NEW QUESTION: 4
VMAXソリューション向けにDell EMC DPS Storage Directを使用して保護ストレージを設計する場合、ストレージ容量のサイズを決めるのにどの式を使用する必要がありますか？
A. (Number of LUNs *Size) * (Copies +2)
B. (Number of LUNs +2* Size) * (Copies +2)
C. (Number of LUNs +2* Size) * (Copies +1)
D. (Number of LUNs *Size) * (Copies +1)
Answer: B
