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NEW QUESTION: 1
どのようにして誰かが中立的なネットワークを訓練するだろうか？
A. フォワードプロパゲーションの結果とエラースコアを比較し、それに応じてバックプロパゲーションを使用して重み付けを更新します。
B. ネットワークの入力をネットワークの出力と比較し、その差を入力接続層に逆伝播させる。
C. ネットワークを介してネットワーク出力を逆伝播し、関連する重み付けを更新するためにエラーを順伝播する。
D. 認知的不協和を用いて誤り率を計算し、誤り率を最小にするために誤りをニューロンに逆伝播する。
Answer: C
NEW QUESTION: 2
For the UPS2000-G series (6 kVA to 2D kVA), the main input voltage ranges from 80 V to 280 V, and the input frequency ranges from 40 Hz to 70 Hz. A wide input range effectively reduces the battery switch times, failure probability, and battery charge/discharge times, helping improve the battery life.
A. FALSE
B. TRUE
Answer: B
NEW QUESTION: 3
You want to count the number of occurrences for each unique word in the supplied input data. You've decided to implement this by having your mapper tokenize each word and emit a literal value 1, and then have your reducer increment a counter for each literal 1 it receives. After successful implementing this, it occurs to you that you could optimize this by specifying a combiner. Will you be able to reuse your existing Reduces as your combiner in this case and why or why not?
A. No, because the Reducer and Combiner are separate interfaces.
B. Yes, because the sum operation is both associative and commutative and the input and output types to the reduce method match.
C. Yes, because Java is a polymorphic object-oriented language and thus reducer code can be reused as a combiner.
D. No, because the sum operation in the reducer is incompatible with the operation of a Combiner.
E. No, because the Combiner is incompatible with a mapper which doesn't use the same data type for both the key and value.
Answer: B
Explanation:
Combiners are used to increase the efficiency of a MapReduce program. They are used to aggregate intermediate map output locally on individual mapper outputs. Combiners can help you reduce the amount of data that needs to be transferred across to the reducers. You can use your reducer code as a combiner if the operation performed is commutative and associative. The execution of combiner is not guaranteed, Hadoop may or may not execute a combiner. Also, if required it may execute it more then 1 times. Therefore your MapReduce jobs should not depend on the combiners execution.
Reference: 24 Interview Questions & Answers for Hadoop MapReduce developers, What are combiners? When should I use a combiner in my MapReduce Job?
NEW QUESTION: 4
ネットワーク管理者は次の問題を発見しました。リモートネットワーク172.16.10.0、
172.16.20.0、および172.16.30.0には、セントラルルータのシリアル0/0インターフェイスを介してアクセスします。どのユーザーも172.16.20.0にアクセスできません。図に示されているコマンド出力を確認した後、問題の最も可能性の高い原因は何ですか？
A. セントラルルーターは172.16.20.0のアップデートを受信していません
B. Centralには最後の手段のゲートウェイがありません
C. 172.16.20.0の誤った静的経路
D. 172.16.20.0がCentralのルーティングテーブルにありません
Answer: C