AZ 204 ( Mod 1 - 6)

Which of the following statements about Azure App Service plans is true?

• App Service plans dictate the specific programming language that must be used for app development.

• The region specified in an App Service plan determines the physical location of the Azure data centers where the compute resources will be provisioned.

• The number of VM instances in an App Service plan can only be adjusted manually and cannot be automatically scaled based on demand.

• The pricing tier of an App Service plan primarily affects the availability and durability of the data storage associated with the deployed applications.

Answer explanation

An App Service plan in Azure indeed specifies the region where the compute resources will be allocated for running the deployed applications. The chosen region dictates the physical location of the Azure data centers responsible for hosting the resources. This is essential for optimizing performance and ensuring compliance with data residency requirements. The other options are incorrect: App Service plans do not dictate the specific programming language used for app development (developers have freedom of choice), the number of VM instances can be automatically scaled based on demand using features like autoscaling, and the pricing tier primarily affects the allocated compute resources and features available rather than data storage availability and durability.

Which of the following statements accurately describes autoscaling in Azure App Service?

• Autoscaling in Azure App Service only triggers based on a predefined schedule and cannot dynamically adjust resources based on workload.

• Autoscaling in Azure App Service adjusts resources by scaling up and down, whereas scaling in and out is not supported.

• Autoscaling in Azure App Service monitors resource metrics such as CPU utilization, memory occupancy, and incoming request rates to dynamically adjust resources based on current demand.

• Autoscaling in Azure App Service is a manual process that requires intervention from administrators to adjust resources as needed.

Answer explanation

Autoscaling in Azure App Service is a dynamic process that continuously monitors the resource metrics of a web app, such as CPU utilization, memory occupancy, and incoming request rates. Based on predefined rules or thresholds set by the administrator, autoscaling automatically adjusts the number of resources allocated to the application to match the current workload. This can involve scaling out by adding more instances to handle increased demand or scaling in by reducing the number of instances during periods of low demand. Autoscaling in Azure App Service is designed to ensure optimal performance and resource utilization without manual intervention from administrators.

Which statement accurately describes the automatic and manual traffic routing options in Azure App Service deployment slots?

• Automatic traffic routing allows users to opt in or opt out of beta features using query parameters, while manual traffic routing involves specifying a percentage of traffic to be routed to the non-production slot.

• Automatic traffic routing randomly distributes a specified percentage of client requests to the non-production slot, while manual traffic routing involves using query parameters to direct traffic to a specific slot.

• Automatic traffic routing directs all traffic to the production slot by default, while manual traffic routing allows users to specify the target slot using the Traffic % column.

• Automatic traffic routing is based on a predefined schedule, while manual traffic routing involves dynamically adjusting resources based on workload.

Answer explanation

According to the provided information, automatic traffic routing in Azure App Service involves randomly distributing a specified percentage of client requests to the non-production slot, which is useful for scenarios where user feedback is needed for a new update. On the other hand, manual traffic routing allows users to direct traffic to a specific slot using query parameters, providing more control over the routing process.

Your business owns WebApp1, a web application.
Using the WebJobs SDK, you can create a triggered App Service background task that runs a code function automatically each time a new piece of data arrives in a queue.
You're getting ready to set up how a queue data item is processed by the service.
Which service from the list below should you use?

• Logic Apps

• WebJobs

• Flow

• Functions

Using the SQL API, you are creating an Azure Cosmos DB account. A web application will contribute data to the account each day.
You must make sure that computational costs are minimized and that an email notification is delivered when data is received from IoT devices.
You choose to launch a function application.
Which of the following settings should be applied to the function app?

• cosmos DB connector

• Consumption plan

• Event hub

• event binding

Using a tier D1 app service plan, you create a web application.
You observe that during times of high traffic, page load times go longer.
Automatic scaling should be put into place when the CPU load exceeds 80%. Costs must be kept to a minimum in your solution.
What ought to you do initially?

• Enable autoscaling on the Web App.

• Switch to the Premium App Service tier plan.

• Switch to the Standard App Service tier plan.

• Switch to the Azure App Services consumption plan.

Two Docker containers are a part of the application you are developing.

The following prerequisites must be fulfilled by the application:

• Root access to the containers must be denied.
• A YAML file must be used to deploy the containers to Azure Container Instances.
• The resources, storage volume, local network, and lifecycle of the containers must all be shared.
• In the event that a container crashes, the storage volume must continue.
• Whenever the containers stop or resume, the storage volume needs to be deployed.

For the application, Azure Container Instances must be configured.

• Container group

• Container Image

• service endpoint

• Resource gruop

You are building an ASP.NET Core web service that will function as an Azure Web App under software as a service (SaaS) configuration. An on-premises SQL Server database will be used by the web service for storage. Data updates are processed by a WebJob that is part of the web service. The web service will be used by four clients.
✑ Every WebJob instance handles data for a single client and needs to function as a singleton instance. Before serving production data, each deployment must be tested using deployment slots.
✑ Reduced Azure expenses are necessary.
✑ An isolated network is required for the location of Azure resources.
For the Web App, you must specify the App Service plan.
How should the App Service plan be set up? To respond, choose the relevant options in the

• No of VM-2

• No of VM-4

• No of VM-16

• Isolated

• Standard

You create a photo management software as a service (SaaS) offering. After users upload images to a web service, Azure Storage Blob storage is used to store the images. General-purpose V2 is the type of storage account.

After being uploaded, images need to be processed in order to create and save a mobile-friendly version of the picture. In less than a minute, the process of turning the image into a mobile-friendly version must begin.

The procedure that initiates the photo processing must be designed.

Solution: Create a BlockBlobStorage storage account by converting the Azure Storage account.

Is the goal achieved by the solution?

• YES

• NO

Which of the following statements about triggers and bindings in Azure Functions is true?

• Triggers and bindings are configured in C# class libraries using function.json schema.

  
  

• Triggers and bindings are defined differently depending on the development language, with JavaScript relying on C# attributes for configuration.

• All triggers and bindings have a direction property in the function.json file, with triggers always having a direction of "in".

• Input and output bindings in Azure Functions are always configured using function.json, regardless of the development language

Answer explanation

According to the provided information, all triggers and bindings in Azure Functions have a direction property specified in the function.json file. Triggers always have a direction of "in" because they define how a function is invoked and provide associated data. Input and output bindings use "in" and "out" directions respectively to specify whether they are providing data to the function as input or receiving data from the function as output. This is a fundamental aspect of how triggers and bindings are configured in Azure Functions.