Free Microsoft DP-300 Exam Braindumps (page: 2)

Case study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.

To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.

At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.

To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the question button to return to the question.

Overview

Existing Environment
Contoso, Ltd. is a financial data company that has 100 employees. The company delivers financial data to customers.

Active Directory
Contoso has a hybrid Azure Active Directory (Azure AD) deployment that syncs to on-premises Active Directory.

Database Environment
Contoso has SQL Server 2017 on Azure virtual machines shown in the following table.


SQL1 and SQL2 are in an Always On availability group and are actively queried. SQL3 runs jobs, provides historical data, and handles the delivery of data to customers.

The on-premises datacenter contains a PostgreSQL server that has a 50-TB database.

Current Business Model
Contoso uses Microsoft SQL Server Integration Services (SSIS) to create flat files for customers. The customers receive the files by using FTP.

Requirements

Planned Changes
Contoso plans to move to a model in which they deliver data to customer databases that run as platform as a service (PaaS) offerings. When a customer establishes a service agreement with Contoso, a separate resource group that contains an Azure SQL database will be provisioned for the customer. The database will have a complete copy of the financial data. The data to which each customer will have access will depend on the service agreement tier. The customers can change tiers by changing their service agreement.

The estimated size of each PaaS database is 1 TB.
Contoso plans to implement the following changes:
-Move the PostgreSQL database to Azure Database for PostgreSQL during the next six months.
-Upgrade SQL1, SQL2, and SQL3 to SQL Server 2019 during the next few months.
-Start onboarding customers to the new PaaS solution within six months.

Business Goals
Contoso identifies the following business requirements:

-Use built-in Azure features whenever possible.
-Minimize development effort whenever possible.
-Minimize the compute costs of the PaaS solutions.
-Provide all the customers with their own copy of the database by using the PaaS solution.
-Provide the customers with different table and row access based on the customer’s service agreement.
-In the event of an Azure regional outage, ensure that the customers can access the PaaS solution with minimal downtime. The solution must provide automatic failover.
-Ensure that users of the PaaS solution can create their own database objects but he prevented from modifying any of the existing database objects supplied by Contoso.

Technical Requirements
Contoso identifies the following technical requirements:

-Users of the PaaS solution must be able to sign in by using their own corporate Azure AD credentials or have Azure AD credentials supplied to them by Contoso. The solution must avoid using the internal Azure AD of Contoso to minimize guest users.
-All customers must have their own resource group, Azure SQL server, and Azure SQL database. The deployment of resources for each customer must be done in a consistent fashion.
-Users must be able to review the queries issued against the PaaS databases and identify any new objects created.
-Downtime during the PostgreSQL database migration must be minimized.

Monitoring Requirements
Contoso identifies the following monitoring requirements:

-Notify administrators when a PaaS database has a higher than average CPU usage.
-Use a single dashboard to review security and audit data for all the PaaS databases.
-Use a single dashboard to monitor query performance and bottlenecks across all the PaaS databases.
-Monitor the PaaS databases to identify poorly performing queries and resolve query performance issues automatically whenever possible.

PaaS Prototype
During prototyping of the PaaS solution in Azure, you record the compute utilization of a customer’s Azure SQL database as shown in the following exhibit.


Role Assignments
For each customer’s Azure SQL Database server, you plan to assign the roles shown in the following exhibit.

CaseStudy
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.

To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.

At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.

To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the question button to return to the question.

Overview
Litware, Inc. is a renewable energy company that has a main office in Boston. The main office hosts a sales department and the primary datacenter for the company.

Physical Locations

Existing Environment
Litware has a manufacturing office and a research office is separate locations near Boston. Each office has its own datacenter and internet connection.

The manufacturing and research datacenters connect to the primary datacenter by using a VPN.

Network Environment
The primary datacenter has an ExpressRoute connection that uses both Microsoft peering and private peering. The private peering connects to an Azure virtual network named HubVNet.

Identity Environment
Litware has a hybrid Azure Active Directory (Azure AD) deployment that uses a domain named litwareinc.com. All Azure subscriptions are associated to the litwareinc.com Azure AD tenant.

Database Environment
The sales department has the following database workload:

-An on-premises named SERVER1 hosts an instance of Microsoft SQL Server 2012 and two 1-TB databases.
-A logical server named SalesSrv01A contains a geo-replicated Azure SQL database named SalesSQLDb1. SalesSQLDb1 is in an elastic pool named SalesSQLDb1Pool. SalesSQLDb1 uses database firewall rules and contained database users.
-An application named SalesSQLDb1App1 uses SalesSQLDb1.

The manufacturing office contains two on-premises SQL Server 2016 servers named SERVER2 and SERVER3. The servers are nodes in the same Always On availability group. The availability group contains a database named ManufacturingSQLDb1

Database administrators have two Azure virtual machines in HubVnet named VM1 and VM2 that run Windows Server 2019 and are used to manage all the Azure databases.

Licensing Agreement
Litware is a Microsoft Volume Licensing customer that has License Mobility through Software Assurance.

Current Problems
SalesSQLDb1 experiences performance issues that are likely due to out-of-date statistics and frequent blocking queries.

Requirements

Planned Changes
Litware plans to implement the following changes:

-Implement 30 new databases in Azure, which will be used by time-sensitive manufacturing apps that have varying usage patterns. Each database will be approximately 20 GB.
-Create a new Azure SQL database named ResearchDB1 on a logical server named ResearchSrv01. ResearchDB1 will contain Personally Identifiable Information (PII) data.
-Develop an app named ResearchApp1 that will be used by the research department to populate and access ResearchDB1.
-Migrate ManufacturingSQLDb1 to the Azure virtual machine platform.
-Migrate the SERVER1 databases to the Azure SQL Database platform.

Technical Requirements
Litware identifies the following technical requirements:

-Maintenance tasks must be automated.
-The 30 new databases must scale automatically.
-The use of an on-premises infrastructure must be minimized.
-Azure Hybrid Use Benefits must be leveraged for Azure SQL Database deployments.
-All SQL Server and Azure SQL Database metrics related to CPU and storage usage and limits must be analyzed by using Azure built-in functionality.

Security and Compliance Requirements
Litware identifies the following security and compliance requirements:

-Store encryption keys in Azure Key Vault.
-Retain backups of the PII data for two months.
-Encrypt the PII data at rest, in transit, and in use.
-Use the principle of least privilege whenever possible.
-Authenticate database users by using Active Directory credentials.
-Protect Azure SQL Database instances by using database-level firewall rules.
-Ensure that all databases hosted in Azure are accessible from VM1 and VM2 without relying on public endpoints.

Business Requirements
Litware identifies the following business requirements:

-Meet an SLA of 99.99% availability for all Azure deployments.
-Minimize downtime during the migration of the SERVER1 databases.
-Use the Azure Hybrid Use Benefits when migrating workloads to Azure.
-Once all requirements are met, minimize costs whenever possible.

CaseStudy
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.

To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.

At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.

To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the question button to return to the question.

Overview
Litware, Inc. is a renewable energy company that has a main office in Boston. The main office hosts a sales department and the primary datacenter for the company.

Physical Locations

Existing Environment
Litware has a manufacturing office and a research office is separate locations near Boston. Each office has its own datacenter and internet connection.

The manufacturing and research datacenters connect to the primary datacenter by using a VPN.

Network Environment
The primary datacenter has an ExpressRoute connection that uses both Microsoft peering and private peering. The private peering connects to an Azure virtual network named HubVNet.

Identity Environment
Litware has a hybrid Azure Active Directory (Azure AD) deployment that uses a domain named litwareinc.com. All Azure subscriptions are associated to the litwareinc.com Azure AD tenant.

Database Environment
The sales department has the following database workload:

-An on-premises named SERVER1 hosts an instance of Microsoft SQL Server 2012 and two 1-TB databases.
-A logical server named SalesSrv01A contains a geo-replicated Azure SQL database named SalesSQLDb1. SalesSQLDb1 is in an elastic pool named SalesSQLDb1Pool. SalesSQLDb1 uses database firewall rules and contained database users.
-An application named SalesSQLDb1App1 uses SalesSQLDb1.

The manufacturing office contains two on-premises SQL Server 2016 servers named SERVER2 and SERVER3. The servers are nodes in the same Always On availability group. The availability group contains a database named ManufacturingSQLDb1

Database administrators have two Azure virtual machines in HubVnet named VM1 and VM2 that run Windows Server 2019 and are used to manage all the Azure databases.

Licensing Agreement
Litware is a Microsoft Volume Licensing customer that has License Mobility through Software Assurance.

Current Problems
SalesSQLDb1 experiences performance issues that are likely due to out-of-date statistics and frequent blocking queries.

Requirements

Planned Changes
Litware plans to implement the following changes:

-Implement 30 new databases in Azure, which will be used by time-sensitive manufacturing apps that have varying usage patterns. Each database will be approximately 20 GB.
-Create a new Azure SQL database named ResearchDB1 on a logical server named ResearchSrv01. ResearchDB1 will contain Personally Identifiable Information (PII) data.
-Develop an app named ResearchApp1 that will be used by the research department to populate and access ResearchDB1.
-Migrate ManufacturingSQLDb1 to the Azure virtual machine platform.
-Migrate the SERVER1 databases to the Azure SQL Database platform.

Technical Requirements
Litware identifies the following technical requirements:

-Maintenance tasks must be automated.
-The 30 new databases must scale automatically.
-The use of an on-premises infrastructure must be minimized.
-Azure Hybrid Use Benefits must be leveraged for Azure SQL Database deployments.
-All SQL Server and Azure SQL Database metrics related to CPU and storage usage and limits must be analyzed by using Azure built-in functionality.

Security and Compliance Requirements
Litware identifies the following security and compliance requirements:

-Store encryption keys in Azure Key Vault.
-Retain backups of the PII data for two months.
-Encrypt the PII data at rest, in transit, and in use.
-Use the principle of least privilege whenever possible.
-Authenticate database users by using Active Directory credentials.
-Protect Azure SQL Database instances by using database-level firewall rules.
-Ensure that all databases hosted in Azure are accessible from VM1 and VM2 without relying on public endpoints.

Business Requirements
Litware identifies the following business requirements:

-Meet an SLA of 99.99% availability for all Azure deployments.
-Minimize downtime during the migration of the SERVER1 databases.
-Use the Azure Hybrid Use Benefits when migrating workloads to Azure.
-Once all requirements are met, minimize costs whenever possible.

Case study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.

To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.

At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.

To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.

Overview
Contoso, Ltd. is a clothing retailer based in Seattle. The company has 2,000 retail stores across the United States and an emerging online presence.

The network contains an Active Directory forest named contoso.com. The forest is integrated with an Azure Active Directory (Azure AD) tenant named contoso.com. Contoso has an Azure subscription associated to the contoso.com Azure AD tenant.

Existing Environment

Transactional Data
Contoso has three years of customer, transaction, operational, sourcing, and supplier data comprised of 10 billion records stored across multiple on-premises Microsoft SQL Server servers. The SQL Server instances contain data from various operations systems. The data is loaded into the instances by using SQL Server Integration Services (SSIS) packages.

You estimate that combining all product sales transactions into a company-wide sales transactions dataset will result in a single table that contains 5 billion rows, with one row per transaction.

Most queries targeting the sales transactions data will be used to identify which products were sold in retail stores and which products were sold online during different time periods. Sales transaction data that is older than three years will be removed monthly.

You plan to create a retail store table that will contain the address of each retail store. The table will be approximately 2 MB. Queries for retail store sales will include the retail store addresses.

You plan to create a promotional table that will contain a promotion ID. The promotion ID will be associated to a specific product. The product will be identified by a product ID. The table will be approximately 5 GB.

Streaming Twitter Data
The ecommerce department at Contoso develops an Azure logic app that captures trending Twitter feeds referencing the company’s products and pushes the products to Azure Event Hubs.

Planned Changes and Requirements

Planned Changes
Contoso plans to implement the following changes:

-Load the sales transaction dataset to Azure Synapse Analytics.
-Integrate on-premises data stores with Azure Synapse Analytics by using SSIS packages.
-Use Azure Synapse Analytics to analyze Twitter feeds to assess customer sentiments about products.

Sales Transaction Dataset Requirements
Contoso identifies the following requirements for the sales transaction dataset:

-Partition data that contains sales transaction records. Partitions must be designed to provide efficient loads by month. Boundary values must belong to the partition on the right.
-Ensure that queries joining and filtering sales transaction records based on product ID complete as quickly as possible.
-Implement a surrogate key to account for changes to the retail store addresses.
-Ensure that data storage costs and performance are predictable.
-Minimize how long it takes to remove old records.

Customer Sentiment Analytics Requirements
Contoso identifies the following requirements for customer sentiment analytics:

-Allow Contoso users to use PolyBase in an Azure Synapse Analytics dedicated SQL pool to query the content of the data records that host the Twitter feeds. Data must be protected by using row-level security (RLS). The users must be authenticated by using their own Azure AD credentials.
-Maximize the throughput of ingesting Twitter feeds from Event Hubs to Azure Storage without purchasing additional throughput or capacity units.
-Store Twitter feeds in Azure Storage by using Event Hubs Capture. The feeds will be converted into Parquet files.
-Ensure that the data store supports Azure AD-based access control down to the object level.
-Minimize administrative effort to maintain the Twitter feed data records.
-Purge Twitter feed data records that are older than two years.

Data Integration Requirements
Contoso identifies the following requirements for data integration:

-Use an Azure service that leverages the existing SSIS packages to ingest on-premises data into datasets stored in a dedicated SQL pool of Azure Synapse Analytics and transform the data.
-Identify a process to ensure that changes to the ingestion and transformation activities can be version-controlled and developed independently by multiple data engineers.
-

Case study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.

To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.

At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.

To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.

Overview
Contoso, Ltd. is a clothing retailer based in Seattle. The company has 2,000 retail stores across the United States and an emerging online presence.

The network contains an Active Directory forest named contoso.com. The forest is integrated with an Azure Active Directory (Azure AD) tenant named contoso.com. Contoso has an Azure subscription associated to the contoso.com Azure AD tenant.

Existing Environment

Transactional Data
Contoso has three years of customer, transaction, operational, sourcing, and supplier data comprised of 10 billion records stored across multiple on-premises Microsoft SQL Server servers. The SQL Server instances contain data from various operations systems. The data is loaded into the instances by using SQL Server Integration Services (SSIS) packages.

You estimate that combining all product sales transactions into a company-wide sales transactions dataset will result in a single table that contains 5 billion rows, with one row per transaction.

Most queries targeting the sales transactions data will be used to identify which products were sold in retail stores and which products were sold online during different time periods. Sales transaction data that is older than three years will be removed monthly.

You plan to create a retail store table that will contain the address of each retail store. The table will be approximately 2 MB. Queries for retail store sales will include the retail store addresses.

You plan to create a promotional table that will contain a promotion ID. The promotion ID will be associated to a specific product. The product will be identified by a product ID. The table will be approximately 5 GB.

Streaming Twitter Data
The ecommerce department at Contoso develops an Azure logic app that captures trending Twitter feeds referencing the company’s products and pushes the products to Azure Event Hubs.

Planned Changes and Requirements

Planned Changes
Contoso plans to implement the following changes:

-Load the sales transaction dataset to Azure Synapse Analytics.
-Integrate on-premises data stores with Azure Synapse Analytics by using SSIS packages.
-Use Azure Synapse Analytics to analyze Twitter feeds to assess customer sentiments about products.

Sales Transaction Dataset Requirements
Contoso identifies the following requirements for the sales transaction dataset:

-Partition data that contains sales transaction records. Partitions must be designed to provide efficient loads by month. Boundary values must belong to the partition on the right.
-Ensure that queries joining and filtering sales transaction records based on product ID complete as quickly as possible.
-Implement a surrogate key to account for changes to the retail store addresses.
-Ensure that data storage costs and performance are predictable.
-Minimize how long it takes to remove old records.

Customer Sentiment Analytics Requirements
Contoso identifies the following requirements for customer sentiment analytics:

-Allow Contoso users to use PolyBase in an Azure Synapse Analytics dedicated SQL pool to query the content of the data records that host the Twitter feeds. Data must be protected by using row-level security (RLS). The users must be authenticated by using their own Azure AD credentials.
-Maximize the throughput of ingesting Twitter feeds from Event Hubs to Azure Storage without purchasing additional throughput or capacity units.
-Store Twitter feeds in Azure Storage by using Event Hubs Capture. The feeds will be converted into Parquet files.
-Ensure that the data store supports Azure AD-based access control down to the object level.
-Minimize administrative effort to maintain the Twitter feed data records.
-Purge Twitter feed data records that are older than two years.

Data Integration Requirements
Contoso identifies the following requirements for data integration:

-Use an Azure service that leverages the existing SSIS packages to ingest on-premises data into datasets stored in a dedicated SQL pool of Azure Synapse Analytics and transform the data.
-Identify a process to ensure that changes to the ingestion and transformation activities can be version-controlled and developed independently by multiple data engineers.
-