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NEW QUESTION: 1
You develop an HTML5 application for a company. Employees must enter a personal identification number (PIN) in an INPUT element named SecurityCode to access their employee records.
The SecurityCode element must meet the following requirements:
Allow up to 6 digits.
Do not display numbers as they are entered.
Display the text Enter PIN Code before the user enters any data.
You need to implement the SecurityCode element.
Which HTML markup should you add to the application?
A. Option B
B. Option E
C. Option A
D. Option D
E. Option C
Answer: D
Explanation:
* Input Type: password
<input type="password"> defines a password field.
The characters in a password field are masked (shown as asterisks or circles).
* The placeholder attribute specifies a short hint that describes the expected value of an input field (e.g.
a sample value or a short description of the expected format).
The short hint is displayed in the input field before the user enters a value.
The placeholder attribute works with the following input types: text, search, url, tel, email, and password.
Reference: HTML Input Types ; HTML <input> placeholder Attribute
NEW QUESTION: 2
You need to create a Custom Metadata Attribute for the Catalog which should accept a value from a predefined list of values.
Which are the three steps that need to be performed to configure this behavior? (Choose three.)
A. Create a Lookup Code with the predefined List of values.
B. Create a custom attribute of type Lookup. Configure the attribute as a Searchable List of
Values.
C. Add the custom attribute in the UI as a List of Values component.
D. Create a custom form and attach it to the Catalog.
E. Create a custom attribute of type Text.
Answer: A,B,C
NEW QUESTION: 3
TensorFlowを使用してディープラーニングモデルを開発しています。 Azure Machine Learning Computeインスタンスでモデルトレーニングワークロードを実行する予定です。
CUDAベースのモデルトレーニングを使用する必要があります。
コンピューティングインスタンスをプロビジョニングする必要があります。
どの2つの仮想マシンサイズを使用できますか？回答するには、回答領域で適切な仮想マシンのサイズを選択します。
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。
Answer:
Explanation:
Explanation
CUDA is a parallel computing platform and programming model developed by Nvidia for general computing on its own GPUs (graphics processing units). CUDA enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
Reference:
https://www.infoworld.com/article/3299703/what-is-cuda-parallel-programming-for-gpus.html