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NEW QUESTION: 1
An Einstein Analytics consultant has been asked to refactor a dashboard so that it loads more quickly. After some analysis, the consultant found that most of the dashboard steps run in less than five seconds; however, the Opportunities Table takes 30 seconds to run.
How can the consultant improve the performance of this dashboard?
A. Create a link to download the list of opportunities as an Excel file.
B. Create a second page on the dashboard and move the table to this new page.
C. Create a second dashboard and move the table to this new dashboard.
D. Create a Visualforce page and display a list view of the opportunities on this new page.
Answer: D
NEW QUESTION: 2
Which result occurs when you power on the CE1100?
A. The system requires all license keys.
B. The system provides a detailed data usage report.
C. The system prompts user for network passwords.
D. The system performs a self-test and automatically reboots.
Answer: D
Explanation:
Explanation/Reference:
Reference: https://www.cisco.com/c/dam/en/us/td/docs/voice_ip_comm/expressway/install_guide/Cisco- Expressway-CE1100-Install-Guide-X8-6-1.pdf (p.8)
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 datasets.
B. Delete users from the workspace.
C. Create, open, modify, and delete web services.
D. Create, open, modify, and delete experiments.
E. Access notebooks.
F. Invite users to the workspace.
Answer: A,C,D
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