Correct Answer: B

Instead use Azure Network Watcher to run IP flow verify to analyze the network traffic.

Note: Advisor is a personalized cloud consultant that helps you follow best practices to optimize your Azure deployments. It analyzes your resource configuration and usage telemetry and then recommends solutions that can help you improve the cost effectiveness, performance, high availability, and security of your Azure resources.

With Advisor, you can:

- Get proactive, actionable, and personalized best practices recommendations.

- Improve the performance, security, and high availability of your resources, as you identify opportunities to reduce your overall Azure spend.

- Get recommendations with proposed actions inline.

Reference:

https://docs.microsoft.com/en-us/azure/network-watcher/network-watcher-monitoring-overview

https://docs.microsoft.com/en-us/azure/network-watcher/network-watcher-ip-flow-verify-overview

Correct Answer: B

Instead use Azure Network Watcher to run IP flow verify to analyze the network traffic.

Note: Advisor is a personalized cloud consultant that helps you follow best practices to optimize your Azure deployments. It analyzes your resource configuration and usage telemetry and then recommends solutions that can help you improve the cost effectiveness, performance, high availability, and security of your Azure resources.

With Advisor, you can:

- Get proactive, actionable, and personalized best practices recommendations.

- Improve the performance, security, and high availability of your resources, as you identify opportunities to reduce your overall Azure spend.

- Get recommendations with proposed actions inline.

Reference:

https://docs.microsoft.com/en-us/azure/network-watcher/network-watcher-monitoring-overview

https://docs.microsoft.com/en-us/azure/network-watcher/network-watcher-ip-flow-verify-overview

Correct Answer: B

Diagnostics data can be:

- Written to an Azure Storage account, for auditing or manual inspection. You can specify the retention time (in days) using resource diagnostic settings.

- Streamed to an Event hub for ingestion by a third-party service, or custom analytics solution, such as PowerBI.

- Written to Azure Monitor logs.

Archiving logs and metrics to an Azure storage account is useful for audit, static analysis, or backup. Compared to Azure Monitor Logs and a Log Analytics workspace, Azure storage is less expensive and logs can be kept there indefinitely.

The storage account needs to be in the same region as the resource being monitored if the resource is regional.

Incorrect Answers:

A. Workspace1

The workspace is the top-level resource for Azure Machine Learning, providing a centralized place to work with all the artifacts you create when you use Azure Machine Learning. The workspace keeps a history of all training runs, including logs, metrics, output, and a snapshot of your scripts. It is not a ideal solution to store archival data.

C. storage2

The storage account needs to be in the same region as the resource being monitored. it will incur additional egress charges to transfer data.

Reference:

https://docs.microsoft.com/en-us/azure/virtual-network/virtual-network-nsg-manage-log#log-destinations

https://docs.microsoft.com/en-us/azure/azure-monitor/essentials/diagnostic-settings?tabs=CMD

Correct Answer: C

You can send email by using SendGrid bindings in Azure Functions. Azure Functions supports an output binding for SendGrid.

Note: When you're using the Consumption plan, instances of the Azure Functions host are dynamically added and removed based on the number of incoming events.

Reference:

https://docs.microsoft.com/en-us/azure/azure-functions/functions-bindings-sendgrid

https://docs.microsoft.com/en-us/azure/azure-functions/functions-triggers-bindings

https://docs.microsoft.com/en-us/azure/azure-functions/functions-scale#consumption-plan

Correct Answer: B

The Integration Runtime is a customer-managed data integration infrastructure used by Azure Data Factory to provide data integration capabilities across different network environments.

A self-hosted integration runtime can run copy activities between a cloud data store and a data store in a private network. It also can dispatch transform activities against compute resources in an on-premises network or an Azure virtual network. The installation of a self-hosted integration runtime needs an on-premises machine or a virtual machine inside a private network.

Reference:

https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/move-sql-azure-adf

https://docs.microsoft.com/en-us/azure/data-factory/create-self-hosted-integration-runtime?tabs=data-factory

Correct Answer: A

With ADF, existing data processing services can be composed into data pipelines that are highly available and managed in the cloud. These data pipelines can be scheduled to ingest, prepare, transform, analyze, and publish data, and ADF manages and orchestrates the complex data and processing dependencies

A pipeline is a logical grouping of activities that together perform a task. For example, a pipeline could contain a set of activities that ingest and clean log data, and then kick off a mapping data flow to analyze the log data. The pipeline allows you to manage the activities as a set instead of each one individually. You deploy and schedule the pipeline instead of the activities independently.

Reference:

https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/move-sql-azure-adf

https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipelines-activities

https://docs.microsoft.com/en-us/azure/data-factory/connector-file-system

Correct Answer: A

You can now move your SQL Server Integration Services (SSIS) projects, packages, and workloads to the Azure cloud. Deploy, run, and manage SSIS projects and packages in the SSIS Catalog (SSISDB) on Azure SQL Database or SQL Managed Instance with familiar tools such as SQL Server Management Studio (SSMS)

Note: You can't create the SSISDB Catalog database on Azure SQL Database at this time independently of creating the Azure-SSIS Integration Runtime in Azure Data Factory. The Azure-SSIS IR is the runtime environment that runs SSIS packages on Azure.

Incorrect Answers:

B. Azure Synapse Analytics

Azure Synapse is an enterprise analytics service that accelerates time to insight across data warehouses and big data systems.

C. SQL Server on an Azure virtual machine

You have to pay additional costs for managing virtual machine.

Reference:

https://docs.microsoft.com/en-us/sql/integration-services/lift-shift/ssis-azure-connect-to-catalog-database

https://docs.microsoft.com/en-us/sql/integration-services/lift-shift/ssis-azure-lift-shift-ssis-packages-overview?view=sql-server-ver15

Correct Answer: C

The Integration Runtime (IR) is the compute infrastructure used by Azure Data Factory to provide data integration capabilities across different network environments. Azure-SSIS Integration Runtime (IR) in Azure Data Factory (ADF) supports running SSIS packages.

Self-hosted integration runtime can be used for data movement in this scenario.

Why Self hosted IR?

This article describes how to run SQL Server Integration Services (SSIS) packages on an Azure-SSIS Integration Runtime (Azure-SSIS IR) in Azure Data Factory with a self-hosted integration runtime (self-hosted IR) configured as a proxy.

With this feature, you can access data on-premises without having to join your Azure-SSIS IR to a virtual network. The feature is useful when your corporate network has a configuration too complex or a policy too restrictive for you to inject your Azure-SSIS IR into it.

As Azure cloud does not connectivity to on Premise network you would need to implement self Hosted-IR as well

Reference:

https://docs.microsoft.com/en-us/azure/data-factory/create-azure-integration-runtime

https://docs.microsoft.com/en-us/azure/data-factory/self-hosted-integration-runtime-proxy-ssis

Correct Answer: A

Each level provides availability and performance tradeoffs. The following image shows the different consistency levels as a spectrum.

Note: The service offers comprehensive 99.99% SLAs which covers the guarantees for throughput, consistency, availability and latency for the Azure Cosmos DB Database Accounts scoped to a single Azure region configured with any of the five Consistency Levels or Database Accounts spanning multiple Azure regions, configured with any of the four relaxed Consistency Levels.

Incorrect Answers:

B. strong

Strong consistency for accounts with regions spanning more than 5000 miles (8000 kilometers) is blocked by default due to high write latency. To enable this capability please contact support.

C. session

In session consistency, within a single client session reads are guaranteed to honor the consistent-prefix, monotonic reads, monotonic writes, read-your-writes, and write-follows-reads guarantees.

D. consistent prefix

In consistent prefix option, updates that are returned contain some prefix of all the updates, with no gaps. Consistent prefix consistency level guarantees that reads never see out-of-order writes.

Reference:

https://azure.microsoft.com/en-us/support/legal/sla/cosmos-db/v1_3/

https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels#consistency-levels-and-latency

Correct Answer: C

The contents of your key vault are replicated within the region and to a secondary region at least 150 miles away, but within the same geography to maintain high durability of your keys and secrets.

In the rare event that an entire Azure region is unavailable, the requests that you make of Azure Key Vault in that region are automatically routed (failed over) to a secondary region except in the case of the Brazil South and Qatar Central region. When the primary region is available again, requests are routed back (failed back) to the primary region. Again, you don't need to take any action because this happens automatically.

Incorrect Answers:

A. A server in the same Availability Set

An availability set is a logical grouping of VMs that allows Azure to understand how your application is built to provide for redundancy and availability. It is applicable for virtual machines.

B. A server in the same fault domain

A fault domain is a set of hardware components that share a single point of failure. To be fault tolerant to a certain level, you need multiple fault domains at that level. It is applicable for virtual machines.

D. A virtual machine in a scale set

Azure virtual machine scale sets let you create and manage a group of load balanced VMs. The number of VM instances can automatically increase or decrease in response to demand or a defined schedule. It is applicable for virtual machines.

Reference:

https://docs.microsoft.com/en-us/azure/key-vault/general/disaster-recovery-guidance