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NEW QUESTION: 1
The eSight single-node system can be deployed on a VM. Only the Windows operating system is supported.
The network traffic analysis and management component and the WLAN wireless positioning function are not supported.
A. FALSE
B. TRUE
Answer: A

NEW QUESTION: 2
A large corporate customer is designing an IBM Datacap Taskmaster Capture application for a production environment that requires a high volume of images, and will be using fingerprinting to identify every page. They are currently in the architecture design phase of the production system. The customer is licensed for Microsoft SQL 2008 Server and Microsoft Office Access. What database and server configuration should the customer use for their production environment?
A. Use Microsoft Access for the Admin/Engine/Fingerprint DB on the same server as the Taskmaster Server.
B. Use Microsoft Access for the Fingerprint DB on the same server as the Taskmaster Server, and use Microsoft SQL DB for the Admin/Engine DB on a separate SQL DB server.
C. Use Microsoft SQL DB for the Fingerprint DB, on a separate SQL DB server, and use Microsoft Access for the Admin/Engine DB on the same server as the Taskmaster Server.
D. Use Microsoft SQL DB for the Admin/Engine/Fingerprint where a separate SQL DB server is used and the DBs are stored on a separate file server.
Answer: D

NEW QUESTION: 3
You have a Dynamics CRM organization.
Currently, when you create entities and fields, they have a prefix of new_.
You need to ensure that when you create new entities and fields, they have a prefix of Contoso_.
Which two actions should you perform? Each correct answer presents part of the solution.
A. Edit the customization prefix field and change the display name to Contoso.
B. Create a new publisher that has a prefix of Contoso. Associate the new publisher to the exiting solution.
C. Change the prefix in the System Settings to Contoso.
D. Change the prefix of the publisher associated to the solution to Contoso.
Answer: B,C

NEW QUESTION: 4
Azure Machine Learningサービスを使用して、training.dataという名前の表形式のデータセットを作成します。このデータセットをトレーニングスクリプトで使用する予定です。
次のコードを使用して、データセットを参照する変数を作成します。
training_ds = workspace.datasets.get（ "training_data"）
スクリプトを実行する推定器を定義します。
スクリプトがtraining.dataデータセットにアクセスできるようにするには、推定器の正しいプロパティを設定する必要があります。どのプロパティを設定する必要がありますか？
A）

B）

C）

D）

A. オプションD
B. オプションC
C. オプションB
D. オプションA
Answer: D
Explanation:
Example:
# Get the training dataset
diabetes_ds = ws.datasets.get("Diabetes Dataset")
# Create an estimator that uses the remote compute
hyper_estimator = SKLearn(source_directory=experiment_folder,
inputs=[diabetes_ds.as_named_input('diabetes')], # Pass the dataset as an input compute_target = cpu_cluster, conda_packages=['pandas','ipykernel','matplotlib'], pip_packages=['azureml-sdk','argparse','pyarrow'], entry_script='diabetes_training.py') Reference:
https://notebooks.azure.com/GraemeMalcolm/projects/azureml-primers/html/04%20-%20Optimizing%20Model%20Training.ipynb