Azure provides dynamic scalability for the Azure SQL Databases and Azure Managed Instances.
Azure SQL Database service offers two purchasing models: DTU-based and vCore-based. Azure Managed instance service is based only on the vCore purchasing model. This model allows you to select two scalability parameters for managed instance: the maximum CPU cores and the maximum allocated storage.
(Number 1): When you create a SQL Managed instance or change the resources for an existing instance, you use the Compute + storage panel.
(Number 2): Because Azure SQL Managed Instance uses only the vCore model, you need to select one of the model's Service tier options, General Purpose and Business Critical. These tiers define the storage latency: fast or super fast.
Then, using sliders, you set or change the instance resources: the number of vCores (Number 3) and the storage size (Number 4).
The default values are 8 CPU cores and 256 GB of storage. Azure SQL Managed Instance service will dynamically scale within these parameters to meet the workload demands. All databases in the Azure SQL Managed instance will share the assigned resources.

Option C is incorrect because you need to define a maximum of the resources per database to scale Azure SQL Database for both purchasing models dynamically but not for the Azure SQL Managed Instance scaling.
Option D is incorrect because you need to define a resource limit per group of databases to scale Azure SQL Database Elastic pools dynamically but not for the Azure SQL Managed Instance scaling.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/scale-resources
https://docs.microsoft.com/en-us/azure/azure-sql/managed-instance/sql-managed-instance-paas- overview
https://docs.microsoft.com/en-us/azure/azure-sql/managed-instance/service-tiers-managed- instance-vcore?tabs=azure-portal

Explanation:
Box 1: BloblBlobStorage with Premium performance and Zone-redundant storage (ZRS) replication.
BlockBlobStorage accounts: Storage accounts with premium performance characteristics for block blobs and append blobs. Recommended for scenarios with high transactions rates, or scenarios that use smaller objects or require consistently low storage latency. Premium:
optimized for high transaction rates and single-digit consistent storage latency.
Box 2: General purpose v2 with Standard performance.
General-purpose v2 accounts: Basic storage account type for blobs, files, queues, and tables.
Recommended for most scenarios using Azure Storage.
Reference:
https://docs.microsoft.com/en-us/azure/storage/common/storage-account-overview
https://docs.microsoft.com/en-us/azure/storage/common/storage-redundancy

Explanation:
Box 1: 2
You need at least one virtual network per Azure region for the local resources, hence since you have two Azure regions, you'll need at least 2 virtual networks.
Box 2: B-Series
The B-Series VM size is the best choice here because of the ability to bank CPU credits during periods of low utilization. The B-series are burstable VMs that accumulate CPU credits during idle times and then consume these credits during periods of high CPU usage. This matches well with your requirement to minimize costs by accumulating CPU credits during periods of low utilization.
Other series like A-Series, D-Series, and M-Series do not have this functionality.

Big data requires a service that can orchestrate and operationalize processes to refine these enormous stores of raw data into actionable business insights. Azure Data Factory is a managed cloud service that's built for these complex hybrid extract-transform-load (ETL), extract-load- transform (ELT), and data integration projects.
https://learn.microsoft.com/en-us/azure/data-factory/introduction