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NEW QUESTION: 1
The security department has implemented a new laptop encryption product in the environment. The product requires one user name and password at the time of boot up and also another password after the operating system has finished loading. This setup is using which of the following authentication types?
A. Multifactor authentication
B. Single factor authentication
C. Single sign-on
D. Two-factor authentication
Answer: B

NEW QUESTION: 2

A. Option B
B. Option D
C. Option C
D. Option A
Answer: D
Explanation:
When the member of the fault domain fails, the remaining two fault domain members are treated as failed too.

NEW QUESTION: 3
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
You plan to create a predictive analytics solution for credit risk assessment and fraud prediction in Azure Machine Learning. The Machine Learning workspace for the solution will be shared with other users in your organization. You will add assets to projects and conduct experiments in the workspace.
The experiments will be used for training models that will be published to provide scoring from web services.
The experiment for fraud prediction will use Machine Learning modules and APIs to train the models and will predict probabilities in an Apache Hadoop ecosystem.
End of repeated scenario.
You plan to share the Machine Learning workspace with the other users.
You are evaluating whether to assign the User role or the Owner role to several of the users.
Which three actions can be performed by the users who are assigned the User role? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Create, open, modify, and delete experiments.
B. Create, open, modify, and delete datasets.
C. Delete users from the workspace.
D. Invite users to the workspace.
E. Access notebooks.
F. Create, open, modify, and delete web services.
Answer: A,B,F
Explanation:
Explanation/Reference:
Explanation:
Once a Machine Learning workspace is created, you can invite users to your workspace and share access to your workspace and all of its experiments. We support two roles of users:
User - A workspace user can create, open, modify and delete datasets, experiments and web services

in the workspace.
Owner - An owner can invite, remove, and list users with access to the workspace, in addition to what a

user can do. He/she also have access to Notebooks.
References: https://github.com/anthonychu/azure-content/blob/master/articles/machine-learning/machine- learning-create-workspace.md

NEW QUESTION: 4
An integration developer has informed the deployment professional that the new business integration module being worked on is using Common Event Infrastructure (CEI) events to monitor performance during stress testing, and that the plan is to remove the CEI event emitting code before going to production. What concerns should the deployment professional raise with the integration developer?
A. Is dynamic monitoring used to emit CEI events?
B. Is static monitoring used to emit CEI events?
C. CEI events are performance heavy and will invalidate the stress testing results once removed.
D. The business integration module will be changed to remove the CEI emitting events when going from stress testing to production.
E. CEI is designed for business monitoring, and is not designed for performance monitoring.
Answer: C,E