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NEW QUESTION: 1
A company wants to provide desktop as a service (DaaS) to a number of employees using Amazon WorkSpaces. Workspaces will need to access files and services hosted on premises with authorization based on the company's Active Directory Network connectivity will be provided through an existing AWS Direct Connect connection.
The solution has the following requirements
* Credentials from Active Directory should be used to access on-premises files and services
* Credentials from Active Directory should not be stored outside the company
* End users should haw single sign-on (SSO) to on-premises files and services once connected to Workspaces Which strategy should the solutions architect use for and user authentication?
A. Create an AWS Directory Service for Microsoft Active Directory (AWS Managed Microsoft AD) directory within the Workspaces VPC Use the Active Directory Migration Tool (ADMT)with the Password Export Server to copy users from the on-premises Active Directory to AWS Managed Microsoft AD Set up a one-way Trust allowing users from AWS Managed Microsoft AD to access resources in the on-premises Active Directory. Use AWS Managed Microsoft AD as the directory for Workspaces.
B. Create a service account in the on premises Active Directory with the required permissions Create an AD Connector in AWS Directory Service to be deployed on premises using the service account to communicate with the on-premises Active Directory Ensure the required TCP ports are open from the WorkSpeces VPC to the on-premises AD Connector Use the AD Connector as the directory for WorkSpaces.
C. Create a service account in the on premises Active Directory with the required permissions Create an AD Connector in AWS Directory Service within the Workspaces VPC using the service account to communicate with the on-premises Active Directory Use the AD Connector as the directory for WorkSpeces.
D. Create an AWS Directory Service for Microsoft Active Directory (AWS Managed Microsoft AD) directory in the AWS Directory Service within the Workspaces VPC Set up a one-way trust allowing users from the on-premises Active Directory to access resources in the AWS Managed Microsoft AD Use AWS Managed Microsoft AD as the directory for Workspaces Create an identity provider with AWS identity and Access Management (IAM) from an on premises ADFS server Allow users from this identity provider to assume a role with a policy allowing them to run Workspaces
Answer: C
Explanation:
https://docs.aws.amazon.com/whitepapers/latest/best-practices-deploying-amazon-workspaces/scenario-1-using-ad-connector-to-proxy-authentication-to-on-premises-active-directory-service.html

NEW QUESTION: 2
Which business partner categories are available to manage relationships?
Note: There are 2 correct answers to this question.
Response:
A. Bank
B. Customer
C. Organization
D. Person
Answer: C,D
Explanation:
https://help.sap.com/erp2005_ehp_08/helpdata/en/8c/ae8d5377a0ec23e10000000a174cb4/frameset.
htm

NEW QUESTION: 3
You write code to retrieve an experiment that is run from your Azure Machine Learning workspace.
The run used the model interpretation support in Azure Machine Learning to generate and upload a model explanation.
Business managers in your organization want to see the importance of the features in the model.
You need to print out the model features and their relative importance in an output that looks similar to the following.

How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: from_run_id
from_run_id(workspace, experiment_name, run_id)
Create the client with factory method given a run ID.
Returns an instance of the ExplanationClient.
Parameters
* Workspace Workspace An object that represents a workspace.
* experiment_name str The name of an experiment.
* run_id str A GUID that represents a run.
Box 2: list_model_explanations
list_model_explanations returns a dictionary of metadata for all model explanations available.
Returns
A dictionary of explanation metadata such as id, data type, explanation method, model type, and upload time, sorted by upload time Box 3: explanation Reference:
https://docs.microsoft.com/en-us/python/api/azureml-contrib-interpret/azureml.contrib.interpret.explanation.explanation_client.explanationclient?view=azure-ml-py

NEW QUESTION: 4
You have an Azure SQL database named Database1 and two Azure event hubs named HubA and HubB. The data consumed from each source is shown in the following table.

You need to implement Azure Stream Analytics to calculate the average fare per mile by driver.
How should you configure the Stream Analytics input for each source? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:
Explanation

HubA: Stream
HubB: Stream
Database1: Reference
Reference data (also known as a lookup table) is a finite data set that is static or slowly changing in nature, used to perform a lookup or to augment your data streams. For example, in an IoT scenario, you could store metadata about sensors (which don't change often) in reference data and join it with real time IoT data streams. Azure Stream Analytics loads reference data in memory to achieve low latency stream processing Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-use-reference-data