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NEW QUESTION: 1
DRAG DROP
DRAG DROP




Answer:
Explanation:

Explanation:

http://techbrij.com/1013/display-mode-mobile-tablet-tv-aspnet-mvc

NEW QUESTION: 2
Azure Machine Learningのハイパードライブ機能を使用してモデルをトレーニングしています。
次のコードを実行して、Hyperdrive実験を構成します。

次の各ステートメントについて、ステートメントがtrueの場合は[はい]を選択します。それ以外の場合は、[いいえ]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:
Box 1: Yes
In random sampling, hyperparameter values are randomly selected from the defined search space. Random sampling allows the search space to include both discrete and continuous hyperparameters.
Box 2: Yes
learning_rate has a normal distribution with mean value 10 and a standard deviation of 3.
Box 3: No
keep_probability has a uniform distribution with a minimum value of 0.05 and a maximum value of 0.1.
Box 4: No
number_of_hidden_layers takes on one of the values [3, 4, 5].
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters

NEW QUESTION: 3
DRAG DROP
Your network contains an Active Directory domain named contoso.com. The domain contains a file server named Server1. All servers run Windows Server 2012 R2.
All domain user accounts have the Division attribute automatically populated as part of the user provisioning process. The Support for Dynamic Access Control and Kerberos armoring policy is enabled for the domain.
You need to control access to the file shares on Server1 based on the values in the Division attribute and the Division resource property.
Which three actions should you perform in sequence?

Answer:
Explanation:

Explanation:

* First create a claim type for the property, then create a reference resource property that points back to the claim. Finally set the classification value on the folder.
* Configure the components and policy
1 . Create claim types
2 . Create resource properties
Deploy the central access policy
3 . Assign the CAP to the appropriate shared folders on the file server.

NEW QUESTION: 4
You design data engineering solutions for a company.
A project requires analytics and visualization of large set of data. The project has the following
requirements:
Notebook scheduling

Cluster automation

Power BI Visualization

You need to recommend the appropriate Azure service.
Which Azure service should you recommend?
A. Azure Databricks
B. Azure HDInsight
C. Azure Batch
D. Azure Stream Analytics
E. Azure ML Studio
Answer: A
Explanation:
Explanation/Reference:
Explanation:
A databrick job is a way of running a notebook or JAR either immediately or on a scheduled basis.
Azure Databricks has two types of clusters: interactive and job. Interactive clusters are used to analyze
data collaboratively with interactive notebooks. Job clusters are used to run fast and robust automated
workloads using the UI or API.
You can visualize Data with Azure Databricks and Power BI Desktop.
References:
https://docs.azuredatabricks.net/user-guide/clusters/index.html
https://docs.azuredatabricks.net/user-guide/jobs.html