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NEW QUESTION: 1
What guarantees does SNMP have, if any, to ensure accurate packet delivery?
A. It has no guarantees for ensuring packet delivery.
B. It delegates packet delivery issues to the application layer.
C. It relies on redundant nodes for check-and-resend.
D. It requires specific error-detection schemes such as CRC.
Answer: D
NEW QUESTION: 2
A company holds information about 1000 customers. It receives, on average, 50 orders per day. Each order must be placed by only one customer. Customers must have placed at least one order but may place several.
An analyst has shown an association between the classes Customer and Order. What multiplicities should she show at the Order end of this association?
A. 0..*.
B. 0..50.
C. 1.*.
D. 1..1000.
Answer: C
NEW QUESTION: 3
Azure Machine Learningのハイパードライブ機能を使用して、モデルをトレーニングするときに最適なハイパーパラメーター値を決定することを計画しています。
次のハイパーパラメータ値の組み合わせを試すには、ハイパードライブを使用する必要があります。
* Learning_rate：0.001〜0.1の任意の値
* batch_size：16、32、または64
Hyperdrive実験の検索スペースを構成する必要があります。
どの2つのパラメータ式を使用する必要がありますか？それぞれの正解は、解決策の一部を示しています。
注：正しい選択はそれぞれ1ポイントの価値があります。
A. batch_sizeの選択式
B. learning_rateの統一式
C. batch_sizeの通常の式
D. batch_sizeの統一式
E. learning_rateの選択式
Answer: A,B
Explanation:
Explanation
B: Continuous hyperparameters are specified as a distribution over a continuous range of values. Supported distributions include:
* uniform(low, high) - Returns a value uniformly distributed between low and high D: Discrete hyperparameters are specified as a choice among discrete values. choice can be:
* one or more comma-separated values
* a range object
* any arbitrary list object
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters
NEW QUESTION: 4
CORRECT TEXT
Answer:
Explanation:
Please review the explanation part for this answer
Explanation:
SELECT Orders.OrderID FROM Orders WHERE Orders.OrderDate>CONVERT(datetime,@Parameter1)