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NEW QUESTION: 1
When do you use a fat tree backbone topology in a SAN design?
A. For many-to-many data locality architecture
B. For the easiest integration with a SAN backup environment
C. For the ease of scalability
D. For maximum availability of end points in the fabric
Answer: A

NEW QUESTION: 2
Which UI does the following code builds?
<?xml version="1.0" encoding="utf-8"?>
<LinearLayout xmlns:android=http://schemas.android.com/apk/res/android android:layout_width="match_parent" android:layout_height="match_parent" android:orientation="vertical" >
<LinearLayout android:layout_width="match_parent" android:layout_height="wrap_content" android:orientation="horizontal" >
<TextView android:id="@+id/textView1" android:layout_width="wrap_content" android:layout_height="wrap_content" android:text="Name:" />
<EditText android:id="@+id/editText1" android:layout_width="match_parent" android:layout_height="wrap_content" android:layout_weight="1" android:ems="10" />
</LinearLayout>
<Button android:id="@+id/button1" android:layout_width="wrap_content" android:layout_height="wrap_content" android:text="Post" />
</LinearLayout>
A. An edit text to the right of a text view and a button beneath them
B. An edit text to the right of a text view and a button to the right of the text view
C. An edit text to the left of a text view and a button beneath it
D. A text view, an edit text beneath it and the button beneath the edit text
Answer: A

NEW QUESTION: 3
あなたは猫と犬を識別するために深層学習モデルを交配しています。 25,000色の画像があります。
次の要件を満たしている必要があります。
*トレーニングエポックの数を減らします。
*ニューラルネットワークのサイズを縮小します。
*ニューラルネットワークの過剰適合を減らします。
画像修正値を選択する必要があります。
どの値を使用する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
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。

Answer:
Explanation: