designing and implementing big data analytics solutionsa. azure stream analytics b. azure data lake...

29
Designing and Implementing Big Data Analytics Solutions Microsoft 70-475 Dumps Available Here at: https://www.certification-questions.com/microsoft-exam/70-475-dumps.html Enrolling now you will get access to 123 questions in a unique set of 70- 475 dumps Question 1 Overview: Relecloud is a social media company that processes hundreds of millions of social media posts per day and sells advertisements to several hundred companies. Relecloud has a Microsoft SQL Server database named DB1 that stores information about the advertisers. DB1 is hosted on a Microsoft Azure virtual machine. Relecloud has two main offices. The offices are located in San Francisco and New York City. The offices connect to each other by using a site-to-site VPN. Each office connects directly to the Internet. Relecloud modifies the pricing of its advertisements based on trending topics. Topics are considered to be trending if they generate many mentions in a specific country during a 15-minute time frame. The highest trending topics generate the highest advertising revenue. Relecloud wants to deliver reports to the advertisers by using Microsoft Power BI. The reports will provide real-time data on trending topics, current advertising rates, and advertising costs for a given month. Relecloud will analyze the trending topics data, and then store the data in a new data warehouse for ad-hoc analysis. The data warehouse is expected to grow at a rate of 1 GB per hour or 8.7 terabytes (TB) per year. The data will be retained for five years for the purpose of long-term trending. Requirements: Management at Relecloud must be able to view which topics are trending to adjust advertising rates in near real-time. Relecloud plans to implement a new streaming analytics platform that will report on trending topics. Relecloud plans to implement a data warehouse named DB2. Relecloud identifies the following technical requirements: - Social media data must be analyzed to identify trending topics in real-time. - The use of Infrastructure as a Service (IaaS) platforms must minimized, whenever possible. - The real-time solution used to analyze the social media data must support scaling up and down without service interruption. Microsoft 70-475 https://www.certification-questions.com

Upload: others

Post on 24-Jun-2020

8 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

Designing and Implementing Big Data Analytics

Solutions

Microsoft 70-475 Dumps Available Here at:

https://www.certification-questions.com/microsoft-exam/70-475-dumps.html

Enrolling now you will get access to 123 questions in a unique set of 70-

475 dumps

Question 1 Overview:

Relecloud is a social media company that processes hundreds of millions of social media posts per day

and sells advertisements to several hundred companies.

Relecloud has a Microsoft SQL Server database named DB1 that stores information about the advertisers.

DB1 is hosted on a Microsoft Azure virtual machine.

Relecloud has two main offices. The offices are located in San Francisco and New York City.

The offices connect to each other by using a site-to-site VPN. Each office connects directly to the Internet.

Relecloud modifies the pricing of its advertisements based on trending topics. Topics are considered to be

trending if they generate many mentions in a specific country during a 15-minute time frame. The highest

trending topics generate the highest advertising revenue.

Relecloud wants to deliver reports to the advertisers by using Microsoft Power BI. The reports will provide

real-time data on trending topics, current advertising rates, and advertising costs for a given month.

Relecloud will analyze the trending topics data, and then store the data in a new data warehouse for ad-hoc

analysis. The data warehouse is expected to grow at a rate of 1 GB per hour or 8.7 terabytes (TB) per year.

The data will be retained for five years for the purpose of long-term trending.

Requirements:

Management at Relecloud must be able to view which topics are trending to adjust advertising rates in near

real-time.

Relecloud plans to implement a new streaming analytics platform that will report on trending topics.

Relecloud plans to implement a data warehouse named DB2.

Relecloud identifies the following technical requirements:

- Social media data must be analyzed to identify trending topics in real-time.

- The use of Infrastructure as a Service (IaaS) platforms must minimized, whenever possible.

- The real-time solution used to analyze the social media data must support scaling up and down without

service interruption.

Microsoft 70-475

https://www.certification-questions.com

Page 2: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

Relecloud identifies the following technical requirements for the advertisers:

- The advertisers must be able to see only their own data in the Power BI reports.

- The advertisers must authenticate to Power BI by using Azure Active Directory (Azure AD) credentials.

- The advertisers must be able to leverage existing Transact-SQL language knowledge when developing

the real-time streaming solution.

- Members of the internal advertising sales team at Relecloud must be able to see only the sales date of

the advertisers to which they are assigned.

- The internal Relecloud advertising sales team must be prevented from inserting, updating, and deleting

rows for the advertisers to which they are not assigned.

- The internal Relecloud advertising sales team must be able to use a text file to update the list of

advertisers, and then to upload the file to Azure Blob storage.

Relecloud identifies the following requirements for DB1:

- Data generated by the streaming analytics platform must be stored in DB1.

- The user names of the advertisers must be mapped to CustomerID in a table named Table2.

- The advertisers in DB1 must be stored in a table named Table1 and must be refreshed nightly.

- The user names of the employees at Relecloud must be mapped to EmployeeID in a table named

Table3.

Relecloud identifies the following requirements for DB2:

- DB2 must have minimal storage costs.

- DB2 must run load processes in parallel.

- DB2 must support massive parallel processing.

- DB2 must be able to store more than 40 TB of data.

- DB2 must support scaling up and down, as required.

- Data from DB1 must be archived in DB2 for long-term storage.

-All of the reports that are executed from DB2 must use aggregation.-

Users must be able to pause DB2 when the data warehouse is not in use.

- Users must be able to view previous versions of the data in DB2 by using aggregates.

Microsoft 70-475

https://www.certification-questions.com

Page 3: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

Relecloud identifies the following requirements for extract, transformation, and load (ETL):

- Data movement between DB1 and DB2 must occur each hour.

- An email alert must be generated when a failure of any type occurs during ETL processing.

Sample code and data:

You execute the following code for a table named rls_table1.

You use the following code to create Table1.

create table table1

(customerid int,

salespersonid int

...

)

Go

The following is a sample of the streaming data.

Microsoft 70-475

https://www.certification-questions.com

Page 4: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

Which technology should you recommend to meet the technical requirement for analyzing the social media

data?

Options:

A. Azure Stream Analytics

B. Azure Data Lake Analytics

C. Azure Machine Learning

D. Azure HDInsight Storm clusters

Answer: A

Explanation:

Azure Stream Analytics is a fully managed event-processing engine that lets you set up real-time analytic

computations on streaming data.

Scalability

Stream Analytics can handle up to 1 GB of incoming data per second. Integration with Azure Event Hubs

and Azure IoT Hub allows jobs to ingest millions of events per second coming from connected devices,

clickstreams, and log files, to name a few. Using the partition feature of event hubs, you can partition

computations into logical steps, each with the ability to be further partitioned to increase scalability.

From scenario: Relecloud identifies the following technical requirements:

- Social media data must be analyzed to identify trending topics in real-time.

- The use of Infrastructure as a Service (IaaS) platforms must minimized, whenever possible.

- The real-time solution used to analyze the social media data must support scaling up and down without

service interruption.

Reference: https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-introduction

Question 2 DRAG DROP

Overview:

Relecloud is a social media company that processes hundreds of millions of social media posts per day

and sells advertisements to several hundred companies.

Relecloud has a Microsoft SQL Server database named DB1 that stores information about the advertisers.

DB1 is hosted on a Microsoft Azure virtual machine.

Microsoft 70-475

https://www.certification-questions.com

Page 5: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

Relecloud has two main offices. The offices are located in San Francisco and New York City.

The offices connect to each other by using a site-to-site VPN. Each office connects directly to the Internet.

Relecloud modifies the pricing of its advertisements based on trending topics. Topics are considered to be

trending if they generate many mentions in a specific country during a 15-minute time frame. The highest

trending topics generate the highest advertising revenue.

Relecloud wants to deliver reports to the advertisers by using Microsoft Power BI. The reports will provide

real-time data on trending topics, current advertising rates, and advertising costs for a given month.

Relecloud will analyze the trending topics data, and then store the data in a new data warehouse for ad-hoc

analysis. The data warehouse is expected to grow at a rate of 1 GB per hour or 8.7 terabytes (TB) per year.

The data will be retained for five years for the purpose of long-term trending.

Requirements:

Management at Relecloud must be able to view which topics are trending to adjust advertising rates in near

real-time.

Relecloud plans to implement a new streaming analytics platform that will report on trending topics.

Relecloud plans to implement a data warehouse named DB2.

Relecloud identifies the following technical requirements:

- Social media data must be analyzed to identify trending topics in real-time.

- The use of Infrastructure as a Service (IaaS) platforms must minimized, whenever possible.

- The real-time solution used to analyze the social media data must support scaling up and down without

service interruption.

Relecloud identifies the following technical requirements for the advertisers:

- The advertisers must be able to see only their own data in the Power BI reports.

- The advertisers must authenticate to Power BI by using Azure Active Directory (Azure AD) credentials.

- The advertisers must be able to leverage existing Transact-SQL language knowledge when developing

the real-time streaming solution.

- Members of the internal advertising sales team at Relecloud must be able to see only the sales date of

the advertisers to which they are assigned.-

The internal Relecloud advertising sales team must be prevented from inserting, updating, and deleting

rows for the advertisers to which they are not assigned.

- The internal Relecloud advertising sales team must be able to use a text file to update the list of

advertisers, and then to upload the file to Azure Blob storage.

Relecloud identifies the following requirements for DB1:

- Data generated by the streaming analytics platform must be stored in DB1.

- The user names of the advertisers must be mapped to CustomerID in a table named Table2.

Microsoft 70-475

https://www.certification-questions.com

Page 6: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

- The advertisers in DB1 must be stored in a table named Table1 and must be refreshed nightly.

- The user names of the employees at Relecloud must be mapped to EmployeeID in a table named

Table3.

Relecloud identifies the following requirements for DB2:

- DB2 must have minimal storage costs.

- DB2 must run load processes in parallel.

- DB2 must support massive parallel processing.

- DB2 must be able to store more than 40 TB of data.

- DB2 must support scaling up and down, as required.

- Data from DB1 must be archived in DB2 for long-term storage.

- All of the reports that are executed from DB2 must use aggregation.

- Users must be able to pause DB2 when the data warehouse is not in use.

- Users must be able to view previous versions of the data in DB2 by using aggregates.

Relecloud identifies the following requirements for extract, transformation, and load (ETL):

- Data movement between DB1 and DB2 must occur each hour.

- An email alert must be generated when a failure of any type occurs during ETL processing.

Sample code and data:

You execute the following code for a table named rls_table1.

Microsoft 70-475

https://www.certification-questions.com

Page 7: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

You use the following code to create Table1.

create table table1

(customerid int,

salespersonid int

...

)

Go

The following is a sample of the streaming data.

You need to implement a solution that meets the data refresh requirement for DB1.

Which three actions should you perform in sequence? To answer, move the appropriate actions from the

list of actions to the answer area and arrange them in the correct order.

Select and Place:

Microsoft 70-475

https://www.certification-questions.com

Page 8: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

Options:

A.

Answer: A

Explanation:

:

Azure Data Factory can be used to orchestrate the execution of stored procedures. This allows more

complex pipelines to be created and extends Azure Data Factory's ability to leverage the computational

power of SQL Data Warehouse.

From scenario:

Relecloud has a Microsoft SQL Server database named DB1 that stores information about the advertisers.

Microsoft 70-475

https://www.certification-questions.com

Page 9: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

DB1 is hosted on a Microsoft Azure virtual machine.

Relecloud identifies the following requirements for DB1:

- Data generated by the streaming analytics platform must be stored in DB1.

- The advertisers in DB1 must be stored in a table named Table1 and must be refreshed nightly.

Reference: https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-data-science-

move-sql-server-virtual-machine

Question 3 DRAG DROP

Overview:

Relecloud is a social media company that processes hundreds of millions of social media posts per day

and sells advertisements to several hundred companies.

Relecloud has a Microsoft SQL Server database named DB1 that stores information about the advertisers.

DB1 is hosted on a Microsoft Azure virtual machine.

Relecloud has two main offices. The offices are located in San Francisco and New York City.

The offices connect to each other by using a site-to-site VPN. Each office connects directly to the Internet.

Relecloud modifies the pricing of its advertisements based on trending topics. Topics are considered to be

trending if they generate many mentions in a specific country during a 15-minute time frame. The highest

trending topics generate the highest advertising revenue.

Relecloud wants to deliver reports to the advertisers by using Microsoft Power BI. The reports will provide

real-time data on trending topics, current advertising rates, and advertising costs for a given month.

Relecloud will analyze the trending topics data, and then store the data in a new data warehouse for ad-hoc

analysis. The data warehouse is expected to grow at a rate of 1 GB per hour or 8.7 terabytes (TB) per year.

The data will be retained for five years for the purpose of long-term trending.

Requirements:

Management at Relecloud must be able to view which topics are trending to adjust advertising rates in near

real-time.

Relecloud plans to implement a new streaming analytics platform that will report on trending topics.

Relecloud plans to implement a data warehouse named DB2.

Relecloud identifies the following technical requirements:

- Social media data must be analyzed to identify trending topics in real-time.

- The use of Infrastructure as a Service (IaaS) platforms must minimized, whenever possible.

- The real-time solution used to analyze the social media data must support scaling up and down without

service interruption.

Relecloud identifies the following technical requirements for the advertisers:

Microsoft 70-475

https://www.certification-questions.com

Page 10: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

- The advertisers must be able to see only their own data in the Power BI reports.

- The advertisers must authenticate to Power BI by using Azure Active Directory (Azure AD) credentials.

- The advertisers must be able to leverage existing Transact-SQL language knowledge when developing

the real-time streaming solution.

- Members of the internal advertising sales team at Relecloud must be able to see only the sales date of

the advertisers to which they are assigned.

- The internal Relecloud advertising sales team must be prevented from inserting, updating, and deleting

rows for the advertisers to which they are not assigned.

- The internal Relecloud advertising sales team must be able to use a text file to update the list of

advertisers, and then to upload the file to Azure Blob storage.

Relecloud identifies the following requirements for DB1:

- Data generated by the streaming analytics platform must be stored in DB1.

-The user names of the advertisers must be mapped to CustomerID in a table named Table2.-

The advertisers in DB1 must be stored in a table named Table1 and must be refreshed nightly.

- The user names of the employees at Relecloud must be mapped to EmployeeID in a table named

Table3.

Relecloud identifies the following requirements for DB2:

- DB2 must have minimal storage costs.

- DB2 must run load processes in parallel.

- DB2 must support massive parallel processing.

- DB2 must be able to store more than 40 TB of data.

- DB2 must support scaling up and down, as required.

- Data from DB1 must be archived in DB2 for long-term storage.

- All of the reports that are executed from DB2 must use aggregation.

- Users must be able to pause DB2 when the data warehouse is not in use.

- Users must be able to view previous versions of the data in DB2 by using aggregates.

Relecloud identifies the following requirements for extract, transformation, and load (ETL):

Microsoft 70-475

https://www.certification-questions.com

Page 11: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

- Data movement between DB1 and DB2 must occur each hour.

- An email alert must be generated when a failure of any type occurs during ETL processing.

Sample code and data:

You execute the following code for a table named rls_table1.

You use the following code to create Table1.

create table table1

(customerid int,

salespersonid int

...

)

Go

The following is a sample of the streaming data.

Microsoft 70-475

https://www.certification-questions.com

Page 12: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

You need to create a query that identifies the trending topics.

How should you complete the query? To answer, drag the appropriate values to the correct targets. Each

value may be used once, more than once, or not at all. You may need to drag the split bar between panes

or scroll to view content.

NOTE: Each correct selection is worth one point.

Select and Place:

Options:

A.

Microsoft 70-475

https://www.certification-questions.com

Page 13: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

Answer: A

Explanation:

:

From scenario: Topics are considered to be trending if they generate many mentions in a specific country

during a 15-minute time frame.

Box 1: TimeStamp

Azure Stream Analytics (ASA) is a cloud service that enables real-time processing over streams of data

flowing in from devices, sensors, websites and other live systems. The stream-processing logic in ASA is

expressed in a SQL-like query language with some added extensions such as windowing for performing

temporal calculations.

ASA is a temporal system, so every event that flows through it has a timestamp. A timestamp is assigned

automatically based on the event's arrival time to the input source but you can also access a timestamp in

your event payload explicitly using TIMESTAMP BY:

SELECT * FROM SensorReadings TIMESTAMP BY time

Box 2: GROUP BY

Example: Generate an output event if the temperature is above 75 for a total of 5 seconds

SELECT sensorId, MIN(temp) as temp

FROM SensorReadings

TIMESTAMP BY time

GROUP BY sensorId, SlidingWindow(second, 5)

HAVING MIN(temp) > 75

Box 3: SlidingWindow

Windowing is a core requirement for stream processing applications to perform set-based operations like

counts or aggregations over events that arrive within a specified period of time. ASA supports three types

Microsoft 70-475

https://www.certification-questions.com

Page 14: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

of windows: Tumbling, Hopping, and Sliding.

With a Sliding Window, the system is asked to logically consider all possible windows of a given length and

output events for cases when the content of the window actually changes – that is, when an event entered

or existed the window.

Reference: https://blogs.technet.microsoft.com/machinelearning/2015/06/01/the-azure-stream-analytics-

query-language/

Question 4 HOTSPOT

Overview:

Relecloud is a social media company that processes hundreds of millions of social media posts per day

and sells advertisements to several hundred companies.

Relecloud has a Microsoft SQL Server database named DB1 that stores information about the advertisers.

DB1 is hosted on a Microsoft Azure virtual machine.

Relecloud has two main offices. The offices are located in San Francisco and New York City.

The offices connect to each other by using a site-to-site VPN. Each office connects directly to the Internet.

Relecloud modifies the pricing of its advertisements based on trending topics. Topics are considered to be

trending if they generate many mentions in a specific country during a 15-minute time frame. The highest

trending topics generate the highest advertising revenue.

Relecloud wants to deliver reports to the advertisers by using Microsoft Power BI. The reports will provide

real-time data on trending topics, current advertising rates, and advertising costs for a given month.

Relecloud will analyze the trending topics data, and then store the data in a new data warehouse for ad-hoc

analysis. The data warehouse is expected to grow at a rate of 1 GB per hour or 8.7 terabytes (TB) per year.

The data will be retained for five years for the purpose of long-term trending.

Requirements:

Management at Relecloud must be able to view which topics are trending to adjust advertising rates in near

real-time.

Relecloud plans to implement a new streaming analytics platform that will report on trending topics.

Relecloud plans to implement a data warehouse named DB2.

Relecloud identifies the following technical requirements:

- Social media data must be analyzed to identify trending topics in real-time.

- The use of Infrastructure as a Service (IaaS) platforms must minimized, whenever possible.

- The real-time solution used to analyze the social media data must support scaling up and down without

service interruption.

Relecloud identifies the following technical requirements for the advertisers:

- The advertisers must be able to see only their own data in the Power BI reports.

Microsoft 70-475

https://www.certification-questions.com

Page 15: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

- The advertisers must authenticate to Power BI by using Azure Active Directory (Azure AD) credentials.

- The advertisers must be able to leverage existing Transact-SQL language knowledge when developing

the real-time streaming solution.

- Members of the internal advertising sales team at Relecloud must be able to see only the sales date of

the advertisers to which they are assigned.

- The internal Relecloud advertising sales team must be prevented from inserting, updating, and deleting

rows for the advertisers to which they are not assigned.

- The internal Relecloud advertising sales team must be able to use a text file to update the list of

advertisers, and then to upload the file to Azure Blob storage.

Relecloud identifies the following requirements for DB1:

- Data generated by the streaming analytics platform must be stored in DB1.

- The user names of the advertisers must be mapped to CustomerID in a table named Table2.

- The advertisers in DB1 must be stored in a table named Table1 and must be refreshed nightly.

- The user names of the employees at Relecloud must be mapped to EmployeeID in a table named

Table3.

Relecloud identifies the following requirements for DB2:

- DB2 must have minimal storage costs.

- DB2 must run load processes in parallel.

- DB2 must support massive parallel processing.

- DB2 must be able to store more than 40 TB of data.

- DB2 must support scaling up and down, as required.

- Data from DB1 must be archived in DB2 for long-term storage.

- All of the reports that are executed from DB2 must use aggregation.

- Users must be able to pause DB2 when the data warehouse is not in use.

- Users must be able to view previous versions of the data in DB2 by using aggregates.

Relecloud identifies the following requirements for extract, transformation, and load (ETL):

Microsoft 70-475

https://www.certification-questions.com

Page 16: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

- Data movement between DB1 and DB2 must occur each hour.

- An email alert must be generated when a failure of any type occurs during ETL processing.

Sample code and data:

You execute the following code for a table named rls_table1.

You use the following code to create Table1.

create table table1

(customerid int,

salespersonid int

...

)

Go

The following is a sample of the streaming data.

Microsoft 70-475

https://www.certification-questions.com

Page 17: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

You implement DB2.

You need to configure the tables in DB2 to host the data from DB1. The solution must meet the

requirements for DB2.

Which type of table and history table storage should you use for the tables? To answer, select the

appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Hot Area:

Options:

A.

Answer: A

Explanation:

n:

Microsoft 70-475

https://www.certification-questions.com

Page 18: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

From Scenario: Relecloud plans to implement a data warehouse named DB2.

Box 1: Temporal table

From Scenario:

Relecloud identifies the following requirements for DB2:

Users must be able to view previous versions of the data in DB2 by using aggregates.

DB2 must be able to store more than 40 TB of data.

A system-versioned temporal table is a new type of user table in SQL Server 2017, designed to keep a full

history of data changes and allow easy point in time analysis. A temporal table also contains a reference to

another table with a mirrored schema. The system uses this table to automatically store the previous

version of the row each time a row in the temporal table gets updated or deleted. This additional table is

referred to as the history table, while the main table that stores current (actual) row versions is referred to

as the current table or simply as the temporal table.

Reference: https://docs.microsoft.com/en-us/sql/relational-databases/tables/temporal-tables

Box 2: Clustered Columnstore

From Scenario:

The data warehouse is expected to grow at a rate of 1 GB per hour or 8.7 terabytes (TB) per year. The

data will be retained for five years for the purpose of long-term trending.

Relecloud identifies the following requirements for DB2:

Data from DB1 must be archived in DB2 for long-term storage.

How SQL Database deletes aged rows?

The cleanup process depends on the index layout of the history table. It is important to notice that only

history tables with a clustered index (B-tree or columnstore) can have finite retention policy configured.

Reference: https://docs.microsoft.com/en-us/sql/relational-databases/tables/manage-retention-of-historical-

data-in-system-versioned-temporal-tables

Question 5 DRAG DROP

Overview:

Relecloud is a social media company that processes hundreds of millions of social media posts per day

and sells advertisements to several hundred companies.

Relecloud has a Microsoft SQL Server database named DB1 that stores information about the advertisers.

DB1 is hosted on a Microsoft Azure virtual machine.

Relecloud has two main offices. The offices are located in San Francisco and New York City.

The offices connect to each other by using a site-to-site VPN. Each office connects directly to the Internet.

Relecloud modifies the pricing of its advertisements based on trending topics. Topics are considered to be

trending if they generate many mentions in a specific country during a 15-minute time frame. The highest

trending topics generate the highest advertising revenue.

Relecloud wants to deliver reports to the advertisers by using Microsoft Power BI. The reports will provide

Microsoft 70-475

https://www.certification-questions.com

Page 19: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

real-time data on trending topics, current advertising rates, and advertising costs for a given month.

Relecloud will analyze the trending topics data, and then store the data in a new data warehouse for ad-hoc

analysis. The data warehouse is expected to grow at a rate of 1 GB per hour or 8.7 terabytes (TB) per year.

The data will be retained for five years for the purpose of long-term trending.

Requirements:

Management at Relecloud must be able to view which topics are trending to adjust advertising rates in near

real-time.

Relecloud plans to implement a new streaming analytics platform that will report on trending topics.

Relecloud plans to implement a data warehouse named DB2.

Relecloud identifies the following technical requirements:-

Social media data must be analyzed to identify trending topics in real-time.

- The use of Infrastructure as a Service (IaaS) platforms must minimized, whenever possible.

- The real-time solution used to analyze the social media data must support scaling up and down without

service interruption.

Relecloud identifies the following technical requirements for the advertisers:

- The advertisers must be able to see only their own data in the Power BI reports.

- The advertisers must authenticate to Power BI by using Azure Active Directory (Azure AD) credentials.

- The advertisers must be able to leverage existing Transact-SQL language knowledge when developing

the real-time streaming solution.

- Members of the internal advertising sales team at Relecloud must be able to see only the sales date of

the advertisers to which they are assigned.

- The internal Relecloud advertising sales team must be prevented from inserting, updating, and deleting

rows for the advertisers to which they are not assigned.

- The internal Relecloud advertising sales team must be able to use a text file to update the list of

advertisers, and then to upload the file to Azure Blob storage.

Relecloud identifies the following requirements for DB1:

- Data generated by the streaming analytics platform must be stored in DB1.

- The user names of the advertisers must be mapped to CustomerID in a table named Table2.

- The advertisers in DB1 must be stored in a table named Table1 and must be refreshed nightly.

- The user names of the employees at Relecloud must be mapped to EmployeeID in a table named

Table3.

Relecloud identifies the following requirements for DB2:

Microsoft 70-475

https://www.certification-questions.com

Page 20: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

- DB2 must have minimal storage costs.

- DB2 must run load processes in parallel.

- DB2 must support massive parallel processing.

- DB2 must be able to store more than 40 TB of data.

- DB2 must support scaling up and down, as required.

- Data from DB1 must be archived in DB2 for long-term storage.

- All of the reports that are executed from DB2 must use aggregation.

- Users must be able to pause DB2 when the data warehouse is not in use.

- Users must be able to view previous versions of the data in DB2 by using aggregates.

Relecloud identifies the following requirements for extract, transformation, and load (ETL):

- Data movement between DB1 and DB2 must occur each hour.

- An email alert must be generated when a failure of any type occurs during ETL processing.

Sample code and data:

You execute the following code for a table named rls_table1.

Microsoft 70-475

https://www.certification-questions.com

Page 21: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

You use the following code to create Table1.

create table table1

(customerid int,

salespersonid int

...

)

Go

The following is a sample of the streaming data.

You need to implement rls_table1.

Which code should you execute? To answer, drag the appropriate values to the correct targets. Each value

may be used once, more than once, or not at all. You may need to drag the split bar between panes or

scroll to view content.

NOTE: Each correct selection is worth one point.

Microsoft 70-475

https://www.certification-questions.com

Page 22: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

Select and Place:

Options:

A.

Answer: A

Explanation:

:

Box 1: Security

Security Policy

Example: After we have created Predicate function, we have to bind it to the table, using Security Policy.

We will be using CREATE SECURITY POLICY command to set the security policy in place.

CREATE SECURITY POLICY DepartmentSecurityPolicy

ADD FILTER PREDICATE dbo.DepartmentPredicateFunction(UserDepartment) ON dbo.Department

WITH(STATE = ON)

Box 2: Filter

Microsoft 70-475

https://www.certification-questions.com

Page 23: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

[ FILTER | BLOCK ]

The type of security predicate for the function being bound to the target table. FILTER predicates silently

filter the rows that are available to read operations. BLOCK predicates explicitly block write operations that

violate the predicate function.

Box 3: Block

Box 4: Block

Box 5: Filter

Reference:

https://social.technet.microsoft.com/wiki/contents/articles/37813.sql-server-2016-implement-row-level-

security-using-predicate-function-and-security-policy.aspx

https://docs.microsoft.com/en-us/sql/t-sql/statements/create-security-policy-transact-sql

Question 6 Note: The question is part of a series of questions that present the same scenario. Each question in the

series contains a unique solution that might meet the stated goals. Some question sets might have more

than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions

will not appear in the review screen.

Your company has multiple databases that contain millions of sales transactions.

You plan to implement a data mining solution to identify purchasing fraud.

You need to design a solution that mines 10 terabytes (TB) of sales date. The solution must meet the

following requirements:

- Run the analysis to identify fraud once per week.

-Continue to receive new sales transactions while the analysis runs.-

Be able to stop computing services when the analysis is NOT running.

Solution: You create a Cloudera Hadoop cluster on Microsoft Azure virtual machines.

Does this meet the goal?

Options:

A. Yes

B. No

Answer: A

Explanation:

Processing large amounts of unstructured data requires serious computing power and also maintenance

effort. As load on computing power typically fluctuates due to time and seasonal influences and/or

processes running on certain times, a cloud solution like Microsoft Azure is a good option to be able to

scale up easily and pay only for what is actually used.

Reference: http://blog.cloudera.com/blog/2016/02/how-to-install-cloudera-enterprise-on-microsoft-azure-

Microsoft 70-475

https://www.certification-questions.com

Page 24: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

part-1/

Question 7 Note: The question is part of a series of questions that present the same scenario. Each question in the

series contains a unique solution that might meet the stated goals. Some question sets might have more

than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions

will not appear in the review screen.

Your company has multiple databases that contain millions of sales transactions.

You plan to implement a data mining solution to identify purchasing fraud.

You need to design a solution that mines 10 terabytes (TB) of sales date. The solution must meet the

following requirements:

- Run the analysis to identify fraud once per week.

- Continue to receive new sales transactions while the analysis runs.

- Be able to stop computing services when the analysis is NOT running.

Solution: You create a Microsoft Azure HDInsight cluster.

Does this meet the goal?

Options:

A. Yes

B. No

Answer: B

Explanation:

HDInsight cluster billing starts once a cluster is created and stops when the cluster is deleted. Billing is pro-

rated per minute, so you should always delete your cluster when it is no longer in use.

Reference: https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-provision-linux-clusters

Question 8 HOTSPOT

You are designing a solution based on the lambda architecture.

The solution has the following layers:

- Batch

- Speed

- Serving

Microsoft 70-475

https://www.certification-questions.com

Page 25: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

You are planning the data ingestion process and the query execution.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Hot Area:

Options:

A.

Answer: A

Explanation:

:

Microsoft 70-475

https://www.certification-questions.com

Page 26: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

Box 1: No

Box 2: No

Output from the batch and speed layers are stored in the serving layer, which responds to ad-hoc queries

by returning precomputed views or building views from the processed data.

Box 3: Yes.

We are excited to announce Interactive Queries, a new feature for stream processing with Apache Kafka.

Interactive Queries allows you to get more than just processing from streaming.

Note: Lambda architecture is a popular choice where you see stream data pipelines applied (speed layer).

Architects can combine Apache Kafka or Azure Event Hubs (ingest) with Apache Storm (event processing),

Apache HBase (speed layer), Hadoop for storing the master dataset (batch layer), and, finally, Microsoft

Power BI for reporting and visualization (serving layer).

Reference: https://www.confluent.io/blog/unifying-stream-processing-and-interactive-queries-in-apache-

kafka/

https://en.wikipedia.org/wiki/Lambda_architecture

Question 9 DRAG DROP

You have a web app that accepts user input, and then uses a Microsoft Azure Machine Learning model to

Microsoft 70-475

https://www.certification-questions.com

Page 27: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

predict a characteristic of the user.

You need to perform the following operations:

- Track the number of web app users from month to month.

- Track the number of successful predictions made during the last minute.

- Create a dashboard showcasing the analytics for the predictions and the web app usage.

Which lambda layer should you query for each operation? To answer, drag the appropriate layers to the

correct operations. Each layer may be used once, more than once, or not at all. You may need to drag the

split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

Select and Place:

Options:

A.

Answer: A

Explanation:

:

Microsoft 70-475

https://www.certification-questions.com

Page 28: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

Lambda architecture is a data-processing architecture designed to handle massive quantities of data by

taking advantage of both batch- and stream-processing methods. This approach to architecture attempts to

balance latency, throughput, and fault-tolerance by using batch processing to provide comprehensive and

accurate views of batch data, while simultaneously using real-time stream processing to provide views of

online data. The two view outputs may be joined before presentation

Box 1: Speed

The speed layer processes data streams in real time and without the requirements of fix-ups or

completeness. This layer sacrifices throughput as it aims to minimize latency by providing real-time views

into the most recent data.

Box 2: Batch

The batch layer precomputes results using a distributed processing system that can handle very large

quantities of data. The batch layer aims at perfect accuracy by being able to process all available data

when generating views.

Box 3: Serving

Output from the batch and speed layers are stored in the serving layer, which responds to ad-hoc queries

by returning precomputed views or building views from the processed data.

Reference: https://en.wikipedia.org/wiki/Lambda_architecture

Question 10 Note: The question is part of a series of questions that present the same scenario. Each question in the

series contains a unique solution that might meet the stated goals. Some question sets might have more

than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions

will not appear in the review screen.

Your company has multiple databases that contain millions of sales transactions.

You plan to implement a data mining solution to identify purchasing fraud.

You need to design a solution that mines 10 terabytes (TB) of sales date. The solution must meet the

following requirements:

- Run the analysis to identify fraud once per week.

- Continue to receive new sales transactions while the analysis runs.

- Be able to stop computing services when the analysis is NOT running.

Solution: You create a Microsoft Azure Data Lake job.

Does this meet the goal?

Options:

A. Yes

Microsoft 70-475

https://www.certification-questions.com

Page 29: Designing and Implementing Big Data Analytics SolutionsA. Azure Stream Analytics B. Azure Data Lake Analytics C. Azure Machine Learning D. Azure HDInsight Storm clusters Answer: A

B. No

Answer: B

Would you like to see more? Don't miss our 70-475 PDF

file at:

https://www.certification-questions.com/microsoft-pdf/70-475-pdf.html

Microsoft 70-475

https://www.certification-questions.com