If you are genuinely worried about the main DP-203 exam dumps. You should just get a hold of DP-203 Free Exam PDF from killexams. com. It can save you through lot of concerns. It makes your individual concept about DP-203 direction crystal clear and make you self-assured to face the genuine DP-203 exam. Make your have notes. As a way to some questions will seems to be very easy to answer, however when you will try with VCE exam simulator, you will find that you answer them wrong. This is just because, those will be tricky questions. Microsoft advisors make these kinds of questions this looks very easy but in reality there are lot of techniques inside the question. Many of us help you recognize those questions with the help of your DP-203 questions and answers. Our VCE exam simulator will help you to remember and recognize lot of these kinds of questions. Whenever you will answer those DP-203 Test Prep many times, your ideas will be cleared and you will in no way confuse if Microsoft switch those questions to make certain techniques. This is how all of us help prospects pass their exam at the beginning attempt by way of actually enhancing up their knowledge about DP-203 objectives. Sometimes, pass the main exam does not matter at all, yet understanding the subjects are required. This is certainly situation within DP-203 exam. We provide real exam questions and answers of DP-203 exam that can assist you get decent score on the exam, yet issue is just not passing the main DP-203 exam some time. We offer you VCE exam simulator to further improve your knowledge about DP-203 subjects so that you can understand the core ideas of DP-203 objectives. This is certainly really important. It isn't at all simple. Our team possesses prepared DP-203 questions standard bank that will in reality deliver you actually good perception of topics, coupled with surety to pass the main exam at the beginning attempt. Never ever under quotation the power of your DP-203 VCE exam simulator. This will help you to lot understand and memorizing DP-203 questions with its Exam dumpsELECTRONICO and VCE. You will genuinely really surprised when you might find our DP-203 exam questions on the genuine DP-203 exam screen. That is definitely real magical. You will please to think this, you are going to get hold of high rating in DP-203 exam because, you know each of the answers. You will have practiced along with VCE exam simulator. Looking for complete share of DP-203 PDF Dumps that might be downloaded as you register with killexams. com and pick the DP-203 exam to get a hold of. With a 4 months future free updates about DP-203 exam, you can program your genuine DP-203 exam within this period. Understand what feel comfortable, simply just extend your individual DP-203 get a hold of account truth. But staying in touch with our workforce. We upgrade DP-203 questions as soon as these are changed within real DP-203 exam. Essential, we have legitimate and up to this point DP-203 Test Prep all the time. Only plan your certification exam and register to get a hold of your clone of DP-203 Test Prep. Features of Killexams DP-203 Test Prep

-> Instant DP-203 Test Prep get a hold of Access

-> Comprehensive DP-203 Questions and Answers

-> 98% Good results Rate about DP-203 Exam

-> Guaranteed Precise DP-203 exam questions

-> DP-203 Questions Updated on Ordinary basis.

-> Good and 2021 Updated DP-203 Exam Dumps

-> 100% Lightweight DP-203 Exam Files

-> Maximum featured DP-203 VCE Exam Simulator

-> Not any Limit on DP-203 Exam Download Obtain

-> Great Discounts

-> 100% Held Download Membership

-> 100% Privacy Ensured

-> totally Success Promise

-> 100% Cost-free PDF Dumps with regard to ev+E149aluation

-> Not any Hidden Charge

-> No Month-to-month Charges

-> Not any Automatic Membership Renewal

-> DP-203 Exam Revise Intimation by way of Email

-> Cost-free Technical Support Exam Detail with:

https://killexams.com/pass4sure/exam-detail/DP-203

Costing Details with: https://killexams.com/exam-price-comparison/DP-203

Find out Complete Record: https://killexams.com/vendors-exam-list Discounted Coupon on Full DP-203 Test Prep PDF Dumps; WC2020: 60% Chiseled Discount on each of your exam PROF17: 10% Further Discount on Value Greater than $69 DEAL17: 15% Further Discount on Value Greater than $99

**** DP-203 Description | DP-203 Syllabus | DP-203 Exam Objectives | DP-203 Course Outline ****

**** SAMPLE Data Engineering on Microsoft Azure 2021 Dumps ****

Question: 1 Section 6

Introductory Info 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 -

Litware, Inc. owns and operates 300 convenience stores across the US. The company sells a variety of packaged foods and drinks, as well as a variety of prepared

foods, such as sandwiches and pizzas.

Litware has a loyalty club whereby members can get daily discounts on specific items by providing their membership number at checkout.

Litware employs business analysts who prefer to analyze data by using Microsoft Power BI, and data scientists who prefer analyzing data in Azure Databricks

notebooks.

Requirements -

Business Goals -

Litware wants to create a new analytics environment in Azure to meet the following requirements:

See inventory levels across the stores. Data must be updated as close to real time as possible.

Execute ad hoc analytical queries on historical data to identify whether the loyalty club discounts increase sales of the discounted products.

Every four hours, notify store employees about how many prepared food items to produce based on historical demand from the sales data.

Technical Requirements -

Litware identifies the following technical requirements:

Minimize the number of different Azure services needed to achieve the business goals.

Use platform as a service (PaaS) offerings whenever possible and avoid having to provision virtual machines that must be managed by Litware.

Ensure that the analytical data store is accessible only to the company's on-premises network and Azure services.

Use Azure Active Directory (Azure AD) authentication whenever possible.

Use the principle of least privilege when designing security.

Stage Inventory data in Azure Data Lake Storage Gen2 before loading the data into the analytical data store. Litware wants to remove transient data from Data

Lake Storage once the data is no longer in use. Files that have a modified date that is older than 14 days must be removed.

Limit the business analysts' access to customer contact information, such as phone numbers, because this type of data is not analytically relevant.

Ensure that you can quickly restore a copy of the analytical data store within one hour in the event of corruption or accidental deletion.

Planned Environment -

$13$10

Litware plans to implement the following environment:

The application development team will create an Azure event hub to receive real-time sales data, including store number, date, time, product ID, customer loyalty

number, price, and discount amount, from the point of sale (POS) system and output the data to data storage in Azure.

Customer data, including name, contact information, and loyalty number, comes from Salesforce, a SaaS application, and can be imported into Azure once every

eight hours. Row modified dates are not trusted in the source table.

Product data, including product ID, name, and category, comes from Salesforce and can be imported into Azure once every eight hours. Row modified dates are not

trusted in the source table.

Daily inventory data comes from a Microsoft SQL server located on a private network.

Litware currently has 5 TB of historical sales data and 100 GB of customer data. The company expects approximately 100 GB of new data per month for the next

year.

Litware will build a custom application named FoodPrep to provide store employees with the calculation results of how many prepared food items to produce every

four hours.

Litware does not plan to implement Azure ExpressRoute or a VPN between the on-premises network and Azure. Question HOTSPOT -

Which Azure Data Factory components should you recommend using together to import the daily inventory data from the SQL server to Azure Data Lake Storage?

To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Hot Area:

$13$10

Answer:

Box 1: Self-hosted integration runtime

A self-hosted IR is capable of running copy activity between a cloud data stores and a data store in private network.

Box 2: Schedule trigger -

Schedule every 8 hours -

Box 3: Copy activity -

Scenario:

ԣ� Customer data, including name, contact information, and loyalty number, comes from Salesforce and can be imported into Azure once every eight hours. Row

modified dates are not trusted in the source table.

ԣ� Product data, including product ID, name, and category, comes from Salesforce and can be imported into Azure once every eight hours. Row modified dates

are not trusted in the source table.

Design and develop data processing

Question: 1 Section 7

Introductory Info 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

$13$10

the Question button to return to the question.

Overview -

Litware, Inc. owns and operates 300 convenience stores across the US. The company sells a variety of packaged foods and drinks, as well as a variety of prepared

foods, such as sandwiches and pizzas.

Litware has a loyalty club whereby members can get daily discounts on specific items by providing their membership number at checkout.

Litware employs business analysts who prefer to analyze data by using Microsoft Power BI, and data scientists who prefer analyzing data in Azure Databricks

notebooks.

Requirements -

Business Goals -

Litware wants to create a new analytics environment in Azure to meet the following requirements:

See inventory levels across the stores. Data must be updated as close to real time as possible.

Execute ad hoc analytical queries on historical data to identify whether the loyalty club discounts increase sales of the discounted products.

Every four hours, notify store employees about how many prepared food items to produce based on historical demand from the sales data.

Technical Requirements -

Litware identifies the following technical requirements:

Minimize the number of different Azure services needed to achieve the business goals.

Use platform as a service (PaaS) offerings whenever possible and avoid having to provision virtual machines that must be managed by Litware.

Ensure that the analytical data store is accessible only to the company's on-premises network and Azure services.

Use Azure Active Directory (Azure AD) authentication whenever possible.

Use the principle of least privilege when designing security.

Stage Inventory data in Azure Data Lake Storage Gen2 before loading the data into the analytical data store. Litware wants to remove transient data from Data

Lake Storage once the data is no longer in use. Files that have a modified date that is older than 14 days must be removed.

Limit the business analysts' access to customer contact information, such as phone numbers, because this type of data is not analytically relevant.

Ensure that you can quickly restore a copy of the analytical data store within one hour in the event of corruption or accidental deletion.

Planned Environment -

Litware plans to implement the following environment:

The application development team will create an Azure event hub to receive real-time sales data, including store number, date, time, product ID, customer loyalty

number, price, and discount amount, from the point of sale (POS) system and output the data to data storage in Azure.

Customer data, including name, contact information, and loyalty number, comes from Salesforce, a SaaS application, and can be imported into Azure once every

eight hours. Row modified dates are not trusted in the source table.

Product data, including product ID, name, and category, comes from Salesforce and can be imported into Azure once every eight hours. Row modified dates are not

trusted in the source table.

Daily inventory data comes from a Microsoft SQL server located on a private network.

Litware currently has 5 TB of historical sales data and 100 GB of customer data. The company expects approximately 100 GB of new data per month for the next

year.

Litware will build a custom application named FoodPrep to provide store employees with the calculation results of how many prepared food items to produce every

four hours.

Litware does not plan to implement Azure ExpressRoute or a VPN between the on-premises network and Azure. Question What should you recommend to prevent

users outside the Litware on-premises network from accessing the analytical data store?

A. a server-level virtual network rule

B. a database-level virtual network rule

C. a server-level firewall IP rule

D. a database-level firewall IP rule

Answer: A

Scenario: Ensure that the analytical data store is accessible only to the companys on-premises network and Azure services.

Virtual network rules are one firewall security feature that controls whether the database server for your single databases and elastic pool in Azure SQL Database or

for your databases in SQL Data Warehouse accepts communications that are sent from particular subnets in virtual networks.

Server-level, not database-level: Each virtual network rule applies to your whole Azure SQL Database server, not just to one particular database on the server. In

other words, virtual network rule applies at the server-level, not at the database-level.

Reference:

$13$10

https://docs.microsoft.com/en-us/azure/sql-database/sql-database-vnet-service-endpoint-rule-overview

Question: 2 Section 7

Introductory Info 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 -

Litware, Inc. owns and operates 300 convenience stores across the US. The company sells a variety of packaged foods and drinks, as well as a variety of prepared

foods, such as sandwiches and pizzas.

Litware has a loyalty club whereby members can get daily discounts on specific items by providing their membership number at checkout.

Litware employs business analysts who prefer to analyze data by using Microsoft Power BI, and data scientists who prefer analyzing data in Azure Databricks

notebooks.

Requirements -

Business Goals -

Litware wants to create a new analytics environment in Azure to meet the following requirements:

See inventory levels across the stores. Data must be updated as close to real time as possible.

Execute ad hoc analytical queries on historical data to identify whether the loyalty club discounts increase sales of the discounted products.

Every four hours, notify store employees about how many prepared food items to produce based on historical demand from the sales data.

Technical Requirements -

Litware identifies the following technical requirements:

Minimize the number of different Azure services needed to achieve the business goals.

Use platform as a service (PaaS) offerings whenever possible and avoid having to provision virtual machines that must be managed by Litware.

Ensure that the analytical data store is accessible only to the company's on-premises network and Azure services.

Use Azure Active Directory (Azure AD) authentication whenever possible.

Use the principle of least privilege when designing security.

Stage Inventory data in Azure Data Lake Storage Gen2 before loading the data into the analytical data store. Litware wants to remove transient data from Data

Lake Storage once the data is no longer in use. Files that have a modified date that is older than 14 days must be removed.

Limit the business analysts' access to customer contact information, such as phone numbers, because this type of data is not analytically relevant.

Ensure that you can quickly restore a copy of the analytical data store within one hour in the event of corruption or accidental deletion.

Planned Environment -

Litware plans to implement the following environment:

The application development team will create an Azure event hub to receive real-time sales data, including store number, date, time, product ID, customer loyalty

number, price, and discount amount, from the point of sale (POS) system and output the data to data storage in Azure.

Customer data, including name, contact information, and loyalty number, comes from Salesforce, a SaaS application, and can be imported into Azure once every

eight hours. Row modified dates are not trusted in the source table.

Product data, including product ID, name, and category, comes from Salesforce and can be imported into Azure once every eight hours. Row modified dates are not

trusted in the source table.

Daily inventory data comes from a Microsoft SQL server located on a private network.

Litware currently has 5 TB of historical sales data and 100 GB of customer data. The company expects approximately 100 GB of new data per month for the next

$13$10

year.

Litware will build a custom application named FoodPrep to provide store employees with the calculation results of how many prepared food items to produce every

four hours.

Litware does not plan to implement Azure ExpressRoute or a VPN between the on-premises network and Azure. Question What should you recommend using to

secure sensitive customer contact information?

A. Transparent Data Encryption (TDE)

B. row-level security

C. column-level security

D. data sensitivity labels

Answer: D

Scenario: Limit the business analysts access to customer contact information, such as phone numbers, because this type of data is not analytically relevant.

Labeling: You can apply sensitivity-classification labels persistently to columns by using new metadata attributes that have been added to the SQL Server database

engine. This metadata can then be used for advanced, sensitivity-based auditing and protection scenarios.

Incorrect Answers:

A: Transparent Data Encryption (TDE) encrypts SQL Server, Azure SQL Database, and Azure Synapse Analytics data files, known as encrypting data at rest. TDE

does not provide encryption across communication channels.

Reference:

https://docs.microsoft.com/en-us/azure/azure-sql/database/data-discovery-and-classification-overview https://docs.microsoft.com/en-us/azure/sql-database/sql-

database-security-overview

Design and implement data security

Question: 1 Section 8

Introductory Info 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 -

Litware, Inc. owns and operates 300 convenience stores across the US. The company sells a variety of packaged foods and drinks, as well as a variety of prepared

foods, such as sandwiches and pizzas.

Litware has a loyalty club whereby members can get daily discounts on specific items by providing their membership number at checkout.

Litware employs business analysts who prefer to analyze data by using Microsoft Power BI, and data scientists who prefer analyzing data in Azure Databricks

notebooks.

Requirements -

Business Goals -

Litware wants to create a new analytics environment in Azure to meet the following requirements:

See inventory levels across the stores. Data must be updated as close to real time as possible.

Execute ad hoc analytical queries on historical data to identify whether the loyalty club discounts increase sales of the discounted products.

Every four hours, notify store employees about how many prepared food items to produce based on historical demand from the sales data.

Technical Requirements -

$13$10

Litware identifies the following technical requirements:

Minimize the number of different Azure services needed to achieve the business goals.

Use platform as a service (PaaS) offerings whenever possible and avoid having to provision virtual machines that must be managed by Litware.

Ensure that the analytical data store is accessible only to the company's on-premises network and Azure services.

Use Azure Active Directory (Azure AD) authentication whenever possible.

Use the principle of least privilege when designing security.

Stage Inventory data in Azure Data Lake Storage Gen2 before loading the data into the analytical data store. Litware wants to remove transient data from Data

Lake Storage once the data is no longer in use. Files that have a modified date that is older than 14 days must be removed.

Limit the business analysts' access to customer contact information, such as phone numbers, because this type of data is not analytically relevant.

Ensure that you can quickly restore a copy of the analytical data store within one hour in the event of corruption or accidental deletion.

Planned Environment -

Litware plans to implement the following environment:

The application development team will create an Azure event hub to receive real-time sales data, including store number, date, time, product ID, customer loyalty

number, price, and discount amount, from the point of sale (POS) system and output the data to data storage in Azure.

Customer data, including name, contact information, and loyalty number, comes from Salesforce, a SaaS application, and can be imported into Azure once every

eight hours. Row modified dates are not trusted in the source table.

Product data, including product ID, name, and category, comes from Salesforce and can be imported into Azure once every eight hours. Row modified dates are not

trusted in the source table.

Daily inventory data comes from a Microsoft SQL server located on a private network.

Litware currently has 5 TB of historical sales data and 100 GB of customer data. The company expects approximately 100 GB of new data per month for the next

year.

Litware will build a custom application named FoodPrep to provide store employees with the calculation results of how many prepared food items to produce every

four hours.

Litware does not plan to implement Azure ExpressRoute or a VPN between the on-premises network and Azure. Question What should you do to improve high

availability of the real-time data processing solution?

A. Deploy a High Concurrency Databricks cluster.

B. Deploy an Azure Stream Analytics job and use an Azure Automation runbook to check the status of the job and to start the job if it stops.

C. Set Data Lake Storage to use geo-redundant storage (GRS).

D. Deploy identical Azure Stream Analytics jobs to paired regions in Azure.

Answer: D

Guarantee Stream Analytics job reliability during service updates

Part of being a fully managed service is the capability to introduce new service functionality and improvements at a rapid pace. As a result, Stream Analytics can

have a service update deploy on a weekly (or more frequent) basis. No matter how much testing is done there is still a risk that an existing, running job may break

due to the introduction of a bug. If you are running mission critical jobs, these risks need to be avoided. You can reduce this risk by following Azures paired region

model.

Scenario: The application development team will create an Azure event hub to receive real-time sales data, including store number, date, time, product ID, customer

loyalty number, price, and discount amount, from the point of sale (POS) system and output the data to data storage in Azure

Reference:

https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-reliability

Monitor and optimize data storage and data processing

$13$10

****************

https://www.instapaper.com/read/1413196972

https://ello.co/killexamz/post/broif1tpxxgh8qxnuklmcg

https://drp.mk/i/FKVHZGXhn6

https://arfansaleemfan.blogspot.com/2021/05/dp-203-data-engineering-on-microsoft.html