Correct Answer: C

Azure Disk Encryption helps protect and safeguard your data to meet your organizational security and compliance commitments. It uses the DM-Crypt feature of Linux to provide volume encryption for the OS and data disks of Azure virtual machines (VMs), and is integrated with Azure Key Vault to help you control and manage the disk encryption keys and secrets.

Reference:

https://docs.microsoft.com/en-us/azure/security/azure-security-disk-encryption-overview

https://docs.microsoft.com/en-us/azure/virtual-machines/disk-encryption#customer-managed-keys

https://docs.microsoft.com/en-us/azure/virtual-machines/disk-encryption#full-control-of-your-keys

https://docs.microsoft.com/en-us/azure/virtual-machines/linux/disk-encryption-overview

Correct Answer: BD

Automate data movement using Azure Data Factory, then load data into Azure Data Lake Storage, transform and clean it using Azure Databricks, and make it available for analytics using Azure Synapse Analytics. Modernize your data warehouse in the cloud for unmatched levels of

Note: Integrate data silos with Azure Data Factory, a service built for all data integration needs and skill levels. Easily construct ETL and ELT processes code-free within the intuitive visual environment, or write your own code. Visually integrate data sources using more than 90+ natively built and maintenance-free connectors at no added cost. Focus on your data' the serverless integration service does the rest.

Incorrect Answers:

A. Azure Data Box Gateway

Azure Data Box Gateway is a storage solution that enables you to seamlessly send data to Azure.

C. Azure Import/Export service

Azure Import/Export service is used to securely import large amounts of data to Azure Blob storage and Azure Files by shipping disk drives to an Azure datacenter.

E. Azure Data Box Edge

Azure Data Box Edge is a physical network appliance, shipped by Microsoft, that sends data in and out of Azure. Data Box Edge is additionally equipped with AI-enabled edge computing capabilities that help you analyze, process, and transform the on-premises data before uploading it to the cloud.

Reference:

https://azure.microsoft.com/en-us/services/databricks/#capabilities

https://azure.microsoft.com/en-us/services/data-factory/

https://docs.microsoft.com/en-us/azure/data-factory/introduction

Correct Answer: B

You can create a Data Factory pipeline that copies data from Azure Blob Storage to Azure SQL Database.

Incorrect Answers:

A. Azure Database Migration Service

Azure Database Migration Service is a fully managed service designed to enable seamless migrations to Azure data platforms with minimal downtime (online migrations).

C. Azure Data Box

The Microsoft Azure Data Box cloud solution lets you send terabytes of data into and out of Azure in a quick, inexpensive, and reliable way.

D. Data Migration Assistant

The Data Migration Assistant (DMA) helps you upgrade to a modern data platform by detecting compatibility issues that can impact database functionality in your new version of SQL Server or Azure SQL Database.

Reference:

https://docs.microsoft.com/en-us/azure/data-factory/tutorial-copy-data-dot-net

Correct Answer: D

When you create an Azure Cosmos DB account, you must specify the --kind that enables MongoDB client connections.

az cosmosdb create --name <cosmosdb-name> --resource-group myResourceGroup --kind MongoDB

The --kind MongoDB parameter enables MongoDB client connections.

Reference:

https://docs.microsoft.com/en-us/azure/cosmos-db/create-mongodb-nodejs#create-an-azure-cosmos-db-account

Correct Answer: D

The Azure Cosmos DB API for MongoDB makes it easy to use Cosmos DB as if it were a MongoDB database. You can leverage your MongoDB experience and continue to use your favorite MongoDB drivers, SDKs, and tools by pointing your application to the API for MongoDB account's connection string.

Reference:

https://docs.microsoft.com/en-us/azure/cosmos-db/mongodb-introduction

Correct Answer: A

A data factory can have one or more pipelines. 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.

The activities in a pipeline define actions to perform on your data. For example, you may use a copy activity to copy data from SQL Server to an Azure Blob Storage. Then, use a data flow activity or a Databricks Notebook activity to process and transform data from the blob storage to an Azure Synapse Analytics pool on top of which business intelligence reporting solutions are built.

Data Factory has three groupings of activities: data movement activities, data transformation activities, and control activities. An activity can take zero or more input datasets and produce one or more output datasets. The following diagram shows the relationship between pipeline, activity, and dataset in Data Factory:

Relationship between dataset, activity, and pipeline

Look at the question carefully it states:

◉ An integration component will process the message, and then trigger either Function1 or Function2 depending on the type of order.

The keyword is process the message neither Service Bus nor Event Grid provide those functionalities.

There is not mentioned where you would be storing the message but Azure Data Factory can integerate with various platforms and pick messages and based on that could fire either Function1 or Function2 based on order type.

Incorrect Answers:

B. an Azure Service Bus queue

The requirement can be achieved with Service Bus topics/subscriptions by sending the message based on metadata to subscribers listening to a specific topic.

C. an Azure Event Grid domain

An event domain is a management tool for large numbers of Event Grid topics related to the same application. You can think of it as a meta-topic that can have thousands of individual topics.

D. an Azure Event Hubs capture

Azure Event Hubs enables you to automatically capture the streaming data in Event Hubs in an Azure Blob storage

Reference:

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

Correct Answer: C

The Microsoft Azure Data Box cloud solution lets you send terabytes of data into and out of Azure in a quick, inexpensive, and reliable way. The secure data transfer is accelerated by shipping you a proprietary Data Box storage device. Each storage device has a maximum usable storage capacity of 80 TB and is transported to your datacenter through a regional carrier. The device has a rugged casing to protect and secure data during the transit.

Incorrect Answers:

A. Azure StorSimple

StoreSimple would not be able to handle 70 TB of data.

B. Azure Batch

Use Azure Batch to run large-scale parallel and high-performance computing (HPC) batch jobs efficiently in Azure.

D. Azure Stack Hub

Azure Stack Hub is an extension of Azure that provides a way to run apps in an on-premises environment and deliver Azure services in your datacenter.

Reference:

https://docs.microsoft.com/en-us/azure/databox/data-box-overview

Correct Answer: B

Azure Disk Encryption helps protect and safeguard your data to meet your organizational security and compliance commitments. It uses the Bitlocker feature of Windows to provide volume encryption for the OS and data disks of Azure virtual machines (VMs), and is integrated with Azure Key Vault to help you control and manage the disk encryption keys.

Incorrect Answers:

A. a certificate

Certificate can be used for authentication.

C. a passphrase

Not a valid option.

D. a secret

Secrets are used to store secret data. To encrypt a disk, we need a encryption keys.

Reference:

https://docs.microsoft.com/en-us/azure/virtual-machines/windows/disk-encryption-portal-quickstart

https://docs.microsoft.com/en-us/azure/virtual-machines/windows/disk-encryption-overview

Correct Answer: C

Azure Data Factory can copy data from and to Azure Data Lake Storage Gen2, and use Data Flow to transform data in Azure Data Lake Storage Gen2.

Incorrect Answers:

A. Azure Data Box Gateway

Data Box Gateway can be leveraged for transferring data to the cloud such as cloud archival, disaster recovery, or if there is a need to process your data at cloud scale.

B. Azure Storage Sync

The deployment of Azure File Sync starts with placing a Storage Sync Service resource into a resource group of your selected subscription. We (Microsoft) recommend provisioning as few of these as needed.

D. Azure Databricks

Azure Databricks is a data analytics platform optimized for the Microsoft Azure cloud services platform

Reference:

https://docs.microsoft.com/en-us/azure/data-factory/connector-azure-data-lake-storage

Correct Answer: B

Immutable storage for Azure Blob storage enables users to store business-critical data objects in a WORM (Write Once, Read Many) state.

Time-based retention policy support allows Users can set policies to store data for a specified interval. When a time-based retention policy is set, blobs can be created and read, but not modified or deleted. After the retention period has expired, blobs can be deleted but not overwritten.

Incorrect Answers:

A. Ingest the log files into an Azure Log Analytics workspace

A Log Analytics workspace is a unique environment for Azure Monitor log data.

C. Use an Azure Blob storage account configured to use the Archive access tier

This option is used to archive log file for long term retention. Data in archive tier can be modified by rehydrating the blob.

Reference:

https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-immutable-storage