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NEW QUESTION: 1
You are creating an Auto Scaling group whose Instances need to insert a custom metric into CloudWatch.
Which method would be the best way to authenticate your CloudWatch PUT request?
A. Create an IAM user with the Put MetricData permission and modify the Auto Scaling launch configuration to inject the users credentials into the instance User Data
B. Create an IAM role with the Put MetricData permission and modify the Auto Scaling launch configuration to launch instances in that role
C. Modify the appropriate Cloud Watch metric policies to allow the Put MetricData permission to instances from the Auto Scaling group
D. Create an IAM user with the Put MetricData permission and put the credentials in a private repository and have applications on the server pull the credentials as needed
Answer: B

NEW QUESTION: 2
HOTSPOT
You deploy a Web App to Azure. The Web App uses several Basic tier, single instance virtual machines (VMs).
The App includes a web tier, services tier, data tier, and a compute-intensive processing tier, as shown in the following diagram:

You have the following requirements:
* The application must be available during all Azure platform events, including planned (VM restarts required) and unplanned (hardware failure) events.
* You must simplify VM deployments by using JSON templates and the Azure Resource Manager (ARM).
* The processing tier must support high volume CPU loads at peak times throughout the year.
* The web tier must support high volumes of incoming Internet traffic during peak times throughout the year.
* The company has authorized downtime for the infrastructure upgrades. Future updates must not include downtime.
* The infrastructure upgrades must provide the most economical solution while meeting all requirements.
Users report application outages during planned Azure maintenance windows. You plan to upgrade the application to support upcoming company initiatives as well as address the user reports.
You need to upgrade the application and infrastructure.
For each tier, which action should you perform? To answer, select the appropriate action from each list in the answer area.

Answer:
Explanation:

Web tier: Use 2 Standard tier VMs in a new availability set, load balanced with Azure Load Balancer.
The web tier must support high volumes of incoming Internet traffic during peak times throughout the year.
Services: Use 2 Standard Tier VM in a new availability set.
Data: Use 2 Standard tier VMs contained within the services tier availability set.
Processing: Use 2 Dv2-series Vms in a new scale set.
The processing tier must support high volume CPU loads at peak times throughout the year.
Dv2-series, a follow-on to the original D-series, features a more powerful CPU. The Dv2-series CPU is about 35% faster than the D-series CPU.
Automatic scaling of virtual machines in a scale set is the creation or deletion of machines in the set as needed to match performance requirements. As the volume of work grows, an application may require additional resources to enable it to effectively perform tasks.
References:
https://docs.microsoft.com/en-us/azure/virtual-machines/virtual-machines-windows-sizes
https://docs.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets- autoscale-overview

NEW QUESTION: 3
You implement an event processing solution using Microsoft Azure Stream Analytics.
The solution must meet the following requirements:
* Ingest data from Blob storage
* Analyze data in real time
* Store processed data in Azure Cosmos DB
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation:
Step 1: Configure Blob storage as input; select items with the TIMESTAMP BY clause
The default timestamp of Blob storage events in Stream Analytics is the timestamp that the blob was last modified, which is BlobLastModifiedUtcTime. To process the data as a stream using a timestamp in the event payload, you must use the TIMESTAMP BY keyword.
Example:
The following is a TIMESTAMP BY example which uses the EntryTime column as the application time for events:
SELECT TollId, EntryTime AS VehicleEntryTime, LicensePlate, State, Make, Model, VehicleType, VehicleWeight, Toll, Tag
FROM TollTagEntry TIMESTAMP BY EntryTime
Step 2: Set up cosmos DB as the output
Creating Cosmos DB as an output in Stream Analytics generates a prompt for information as seen below.

Step 3: Create a query statement with the SELECT INTO statement.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-inputs