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NEW QUESTION: 1
A Solutions Architect is designing an environment with 1,200 services being offered through the NSX-T Data Center Load Balancer.
Which three selections are necessary to meet the minimum requirements to support the solution? (Choose three.)
A. Large Load Balancer
B. Tier 0 Gateway
C. Extra Large Edge Node
D. Large Edge Node
E. Tier 1 Gateway
F. Extra Large Load Balancer
Answer: A,D,E

NEW QUESTION: 2
あなたの会社はAWSでソーシャルメディアサイトの大規模な発表をする準備をしています。 このWebサイトは、マルチAZ RDS MySQLエクストララージDBインスタンスを使用して、複数のアベイラビリティーゾーンにまたがってデプロイされたEC2インスタンスで実行されています。 このサイトでは、1秒間に多数の小さな読み取りと書き込みを実行し、最終的な一貫性モデルに依存しています。 包括的なテストの結果、RDS MySQLには読み取り競合があることがわかりました。 これらの要件を満たすための最善の方法はどれですか? (2つの答えを選んでください)
A. 複数のRDS MySQLインスタンスに負荷を分散するためにシャーディングを実装する
B. RDS MySQLインスタンスサイズを増やし、プロビジョンドIOPSを実装する
C. 各アベイラビリティーゾーンにRDS MySQLリードレプリカを追加する
D. 各アベイラビリティゾーンで実行されているElastiCacheインメモリキャッシュを展開する
Answer: C,D

NEW QUESTION: 3
あなたは、画像分類のための深い畳み込みニューラルネットワーク(CNN)を構築するデータサイエンティストです。
構築したCNNモデルは、過剰適合の兆候を示しています。
過剰適合を減らし、モデルを最適な適合に収束させる必要があります。
実行すべき2つのアクションはどれですか?それぞれの正解は完全な解決策を提示します。
注:それぞれの正しい選択には1ポイントの価値があります。
A. トレーニングデータの量を減らします。
B. トレーニングデータの増強を使用する
C. 512入力単位の追加の高密度レイヤーを追加します。
D. 64の入力ユニットを持つ追加の高密度レイヤーを追加します
E. L1 / L2正則化を追加します。
Answer: A,E
Explanation:
Explanation
References:
https://machinelearningmastery.com/how-to-reduce-overfitting-in-deep-learning-with-weight-regularization/
https://en.wikipedia.org/wiki/Convolutional_neural_network