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NEW QUESTION: 1
What is a function of a user role?
A. It associates the user with a RADIUS server.
B. It defines the IPsec parameters for the role.
C. It defines the types of authentication methods available to the user
D. It assigns access to resources.
Answer: B
NEW QUESTION: 2
What are three reasons why you would choose an Active Form over other report styles? (Choose three.)
A. When the user needs to drill down and drill up on columns
B. When the user needs to move dimensions around the report
C. When the user needs to drill down and drill up on rows
D. When the user needs to suppress zeros
E. When there is a need to dynamically format cells
Answer: C,D,E
NEW QUESTION: 3
A. View Only
B. Read
C. Edit
D. Contribute
Answer: C
Explanation:
Explanation:
http://technet.microsoft.com/en-us/library/cc721640.aspx
NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each ques-tion on the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You need to design the system that handles uploaded documents.
Solution: Use an Azure Data Lake Store as the location to upload documents. Use Azure Event Grid for user notification and to start processing.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation/Reference:
Explanation:
An Azure Blob Container, which uses an object store with flat namespace, is better than an Azure Data Lake Store, which uses Azure Data Lake uses an Hierarchical file system.
Scenario: Document Uploads
During the document upload process, the solution must capture information about the geographic location where documents originate. Processing of documents must be automatically triggered when documents are uploaded. Customers must be notified when analysis of their uploaded documents begins.
Uploaded documents must be processed using Azure Machine Learning Studio in an Azure Data Factory pipeline. The machine learning portion of the pipeline is updated once a quarter.
When document processing is complete, the documents and the results of the analysis process must be visible.
Reference: https://docs.microsoft.com/en-us/azure/data-lake-store/data-lake-store-comparison-with-blob- storage