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NEW QUESTION: 1
Your organization is preparing for a security assessment of your use of AWS.
In preparation for this assessment, which two IAM best practices should you consider implementing? (Choose two.)
A. Configure MFA on the root account and for privileged IAM users
B. Ensure all users have been assigned and are frequently rotating a password, access ID/secret key, and X.509 certificate
C. Create individual IAM users for everyone in your organization
D. Assign IAM users and groups configured with policies granting least privilege access
Answer: A,D
Explanation:
http://docs.aws.amazon.com/AmazonS3/latest/dev/example-bucket-policies.html
NEW QUESTION: 2
You deploy a server named ex01 .contoso.com that has Exchange Server 2016 installed.
You need to ensure that when users connect to the URL of http://ex01.contoso.com. thev access Outlook on the web over a secure connection.
How should you configure the Default Web Site? To answer, select appropriate options in the selected area.
Answer:
Explanation:
NEW QUESTION: 3
You created a job that uses the standardization stage with a new copy of USADDR rule set. The job was successfully compiled, but has an error and will not run.
What is most likely the cause of the problem?
A. The rule set has an invalid statement in the pattern file.
B. The rule set is not provisioned.
C. The server does not have enough memory.
D. The input file is missing.
Answer: C
NEW QUESTION: 4
You develop and train a machine learning model to predict fraudulent transactions for a hotel booking website.
Traffic to the site varies considerably. The site experiences heavy traffic on Monday and Friday and much lower traffic on other days. Holidays are also high web traffic days. You need to deploy the model as an Azure Machine Learning real-time web service endpoint on compute that can dynamically scale up and down to support demand. Which deployment compute option should you use?
A. Azure Machine Learning Compute Instance
B. attached Azure Databricks cluster
C. Azure Container Instance (ACI)
D. Azure Kubernetes Service (AKS) inference cluster
E. attached virtual machine in a different region
Answer: A
Explanation:
Azure Machine Learning compute cluster is a managed-compute infrastructure that allows you to easily create a single or multi-node compute. The compute is created within your workspace region as a resource that can be shared with other users in your workspace. The compute scales up automatically when a job is submitted, and can be put in an Azure Virtual Network.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-attach-compute-sdk
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