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NEW QUESTION: 1
An organization is having an application which can start and stop an EC2 instance as per schedule. The organization needs the MAC address of the instance to be registered with its software. The instance is launched in EC2-CLASSIC.
How can the organization update the MAC registration every time an instance is booted?
A. AWS never provides a MAC address to an instance; instead the instance ID is used for identifying the instance for any software registration.
B. The instance MAC address never changes. Thus, it is not required to register the MAC address every time.
C. The organization should write a boot strapping script which will get the MAC address from the instance metadata and use that script to register with the application.
D. The organization should provide a MAC address as a part of the user data. Thus, whenever the instance is booted the script assigns the fixed MAC address to that instance.
Answer: C
Explanation:
Explanation
AWS provides an on demand, scalable infrastructure. AWS EC2 allows the user to launch On- Demand instances. AWS does not provide a fixed MAC address to the instances launched in EC2-CLASSIC. If the instance is launched as a part of EC2-VPC, it can have an ENI which can have a fixed MAC. However, with EC2-CLASSIC, every time the instance is started or stopped it will have a new MAC address. To get this MAC, the organization can run a script on boot which can fetch the instance metadata and get the MAC address from that instance metadata. Once the MAC is received, the organization can register that MAC with the software.
References:

NEW QUESTION: 2
The business wants to alert administrators and business owners to any service disruptions as soon as possible. This is to include any applications that receive request messages on input queues and have to respond to them as quickly as possible. The ideal solution will not introduce significant overhead to the environment. The WebSphere MQ solution designer is asked to evaluate the available features in WebSphere MQ that can be used to address this requirement.
Which of the following is the most responsive mechanism to address outages as soon as they develop?
A. Queue depth events
B. Trace Route messages
C. Activity Recording
D. Queue service interval events
Answer: D

NEW QUESTION: 3


Answer:
Explanation:

Explanation

Box 1: Azure Machine Learning
Machine learning is a technique of data science that helps computers learn from existing data to forecast future behaviors, outcomes, and trends. Azure Machine Learning is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions.
Box 2: Azure Cognitive Services
Add vision, speech, language and knowledge capabilities to your apps with artificial intelligence APIs from Cognitive Services.
References:
https://azure.microsoft.com/en-us/services/cognitive-services/
https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-weather-forecast-machine-learning

NEW QUESTION: 4
You need to implement an Azure Databricks cluster that automatically connects to Azure Data Lake Storage Gen2 by using Azure Active Directory (Azure AD) integration.
How should you configure the new cluster? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: High Concurrency
Enable Azure Data Lake Storage credential passthrough for a high-concurrency cluster.
Incorrect:
Support for Azure Data Lake Storage credential passthrough on standard clusters is in Public Preview.
Standard clusters with credential passthrough are supported on Databricks Runtime 5.5 and above and are limited to a single user.
Box 2: Azure Data Lake Storage Gen1 Credential Passthrough
You can authenticate automatically to Azure Data Lake Storage Gen1 and Azure Data Lake Storage Gen2 from Azure Databricks clusters using the same Azure Active Directory (Azure AD) identity that you use to log into Azure Databricks. When you enable your cluster for Azure Data Lake Storage credential passthrough, commands that you run on that cluster can read and write data in Azure Data Lake Storage without requiring you to configure service principal credentials for access to storage.
References:
https://docs.azuredatabricks.net/spark/latest/data-sources/azure/adls-passthrough.html