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NEW QUESTION: 1
Azure Machine Learningのハイパードライブ機能を使用して、モデルのトレーニング時に最適なハイパーパラメーター値を決定する予定です。
次のハイパーパラメーター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から0.1までの任意の値
* batch_size：16、32、または64
Hyperdrive実験のサーチスペースを設定する必要があります。
どの2つのパラメーター式を使用する必要がありますか？それぞれの正解がソリューションの一部を示しています。
注：それぞれの正しい選択は1ポイントの価値があります。
A. leaming_rateの選択式
B. batch_sizeの統一式
C. batch_sizeの選択式
D. batch_sizeの通常の式
E. learning_rateの統一式
Answer: C,D
NEW QUESTION: 2
Your customer must decide if TrueCopy Asynchronous or TrueCopy Synchronous is the best solution.
Which three statements describe TrueCopy Synchronous characteristics? (Choose three.)
A. TrueCopy Synchronous reports the ending status to the host only after the S-VOL update copy
operation is complete.
B. TrueCopy Synchronous turnaround times become unacceptable at longer distances.
C. TrueCopy Synchronous maintains consistency of data with time stamping and sequence numbering.
D. TrueCopy Synchronous can register a maximum of sixteen remote control units (CUs) for one local
CU.
E. TrueCopy Synchronous guarantees an RPO of zero.
Answer: A,B,E
NEW QUESTION: 3
Your customer is moving from a Restaurant/Bar business model to a Restaurant/Casino business model.
You are helping architect the upgrade of a current 4-node X200 48 TB Isilon cluster, with 65% utilized for their video surveillance operations.
They wish to achieve the following:
Upgrade from 1280 x 720 resolution, with a 15 days retention policy, to 2048 x 1536 resolution with a 30 days retention policy.
What is the minimum number of nodes of the same type will you need to add in order to meet the required changes and not exceed 70% raw capacity?
A. 18 nodes
B. 10 nodes
C. 14 nodes
D. 6 nodes
Answer: D