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NEW QUESTION: 1
A. forwarderQueueSize
B. maxEndPomtslnLocalDb
C. NetworkDeviceEventHandter
D. eventHandlerQueueStze
Answer: D
NEW QUESTION: 2
An ER nurse seeks the help of her friend who is a NICU nurse in prioritizing patients as she just started
her job yesterday. While on the phone, she stated that in the past ten minutes, the following patients have
arrived. Which should she attend to first?
A. A middle aged patient with intermittent pain behind the right scapula
B. An elderly patient with chief complaints of frequent liquid brown colored stools
C. A two-month-old infant with a history of rolling off the bed who has bulging fontanels
D. A teenager who got singed eyebrows while camping
Answer: D
Explanation:
The nurse should first attend to a teenager who got singed eyebrows while camping. This
patient is in the greatest danger of potential of respiratory distress. A patient with singed facial hair has
been exposed to heat or fire in close rage that could have caused damage to the interior of the lung.
NEW QUESTION: 3
An intelligent backup strategy involves multiple backup policies on the same production data i.e, with different retention periods and different schedules.
A. FALSE
B. TRUE
Answer: B
NEW QUESTION: 4
管理者は、Amazon Machine Learningサービスを使用して、会社について言及しているソーシャルメディア投稿を2つのカテゴリに分類することを決定しました。応答が必要な投稿とそうでない投稿です。 10,000件の投稿のトレーニングデータセットには、タイムスタンプ、作成者、投稿の全文など、各投稿の詳細が含まれています。トレーニングに必要なターゲットラベルがありません。
どの2つの選択肢が有効なターゲットラベルデータを作成しますか？
A. Amazon Mechanical Turk Webサービスを使用して、Turkの従業員に投稿のラベルを付けるように指示するヒューマンインテリジェンスタスクを公開します。
B. ソーシャルメディア処理チームに各投稿を確認してラベルを提供するよう依頼してください。
C. 2つのクラスの事前確率分布を使用して、モンテカルロシミュレーションを使用してラベルを生成します。
D. センチメント分析NLPライブラリを使用して、投稿に回答が必要かどうかを判断します。
Answer: A,B
Explanation:
You need accurate data to train the service and get accurate results from future data. The options described in B and D would end up training an ML model using the output from a different machine learning model and therefore would significantly increase the possible error rate. It is extremely important to have a very low error rate (if any!) in your training set, and therefore human-validated or assured labels are essential.
It is essential when writing mobile applications that you consider the security of both how the application