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NEW QUESTION: 1
次が与えられます:

結果は何ですか。

A. オプションB
B. オプションD
C. オプションA
D. オプションC
Answer: C

NEW QUESTION: 2
Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. module
B. dataset
C. pipeline
D. compute
Answer: A,B
Explanation:
You can drag-and-drop datasets and modules onto the canvas.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer

NEW QUESTION: 3
A news teed web service has the following code running on Google App Engine. During peak load, users report that they can see news articles they already viewed. What is the most likely cause of this problem?

A. The URL of the API needs to be modified to prevent caching.
B. The HTTP Expires header needs to be set to -1 to stop caching.
C. The session variable is local to just a single instance.
D. The session variable is being overwritten in Cloud Datastore.
Answer: B

NEW QUESTION: 4
You have two on-premises file servers named Server1 and Server2. The servers contain data files in the folders shown in the following table.

You have resources in an Azure Storage account named storage1 as shown in the following table.

You plan to use Azure Data Factory to copy the data files to the folders shown in the following table.

You need to identify the minimum number of connections and datasets that you must create in Data Factory. The solution must prevent other data files in the subfolders of D:\Data from being copied to Azure.
How many connections and datasets should you identify? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: 2
The Azure Storage and Azure SQL Database linked services contain connection strings that Data Factory uses at runtime to connect to your Azure Storage and Azure SQL Database, respectively.
Box 2: 3
A dataset is a named view of data that simply points or references the data you want to use in your activities as inputs and outputs.
Datasets identify data within different data stores, such as tables, files, folders, and documents. For example, an Azure Blob dataset specifies the blob container and folder in Blob storage from which the activity should read the data.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-datasets-linked-services