You have enabled geo-replication for your Azure Cosmos DB implementation. Which consistency level will be applied if you do not deliberately specify one?

• Strong

• Session

• Eventual

• Consistent prefix

Suppose you have a solution architecture where you want to kick off an Azure Function to store the image in Azure Blob Storage as well as a Logic App to perform AI analysis every time a new image is added to a product catalog. Which of these Azure services is best suited to sit between the product catalog and the other two services?

• Azure Event Grid

• Azure Service Bus Queues

• Azure Storage Queues

• Azure Event Hubs

You are developing an online shopping experience using a web app and Application Insights. You would like to configure an Application Insights Usage Analysis feature in your web app to see if most customers are able to progress through the various check-out steps, including viewing related items and applying coupons, without abandoning their shopping cart. Which Application Insights Usage Analysis feature supports this?

• Retention

• User, Sessions, Events

• User Flows

• Funnels

Imagine you are deploying an Azure SQL Database as part of a broader application environment. In the ARM template, you will first need to define the server and then the database. There needs to be a dependency on the server before the database can be created. What is the name of the property that identifies the server that hosts the database?

• No element is required to assert the parent-child relationship between the server and the database. The database is simply nested within the definition of the parent server.

• parent

• parentResource

• dependsOn

After deploying a web app or website, you can set up recurring tests in Application Insights to monitor availability and responsiveness. Which of these options best describes the standard test (versus the classic test) for availability?

• A well-known and quick way to test endpoint availability

• A test for recovery time after a presumed-transient server-side fault

• A single request test that includes SSL certificate validity, proactive lifetime check, HTTP request verb, custom headers, and custom data associated with the HTTP request

• A long-term supported solution for multi-request or authentication test scenarios

Which CLI command could be used to create a new Azure Container Registry?

• az acr repository create

• ac acr import

• az acr create

• az acr new

In Azure Queue Storage queues, what method can you use to consume the content of a message without altering the visibility of the message?

• Transparent

• Scan

• Peek

• Ghost

Which of these services are supported as event handlers in Azure Event Grid?

• Azure App Service

• Azure Cache for Redis

• Azure Functions

• Azure Event Hubs

The online shopping application for your company is hosted on the Azure App Service and backed by Azure Cosmos DB for all order data. The warehouse inventory system is also backed by Cosmos DB, but in a separate database, with a unique partitioning scheme. Of the options given, what is the simplest way and most efficient way to update the inventory and fulfillment system to "reserve" the ordered items, in near-real time, after an order is committed to the online shopping database?

• Implement a Cosmos DB trigger on the online shopping database to fire an Azure function, which can place the reservation in the inventory and fulfillment system.

• Use an HTTP-triggered Azure function, with the order payload, which can be used to place the reservation in the inventory system at the same time the order is placed in the online shopping application.

• Use an Azure Event Hub to collect and manage the order submissions, and then set up the online shopping application and the inventory system as subscribers.

• Poll the online shopping database from the inventory system in set intervals to check for committed orders.

You are in charge of a critical Azure App Service application that serves a large portion of your company's customers. The traffic spikes to the service are unpredictable, and there have been issues in the past with outages due to high load. Which scaling approach would you take to fix this most economically and with the least maintenance?

• Set up a custom autoscale rule that scales the number of instances based on CPU load.

• Scale up to an instance with more memory and high total ACU.

• Manually scale the instance count to one more instance than the current deployment.

• Move the App Service to run on a VM, in order to use VM scale sets.