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The latest updated Microsoft DP-201 Exam Practice Questions and Answers Online Practice Test is free to share from Lead4Pass (Q1-Q13)

QUESTION 1
You have an Azure Storage account.
You plan to copy one million image files to the storage account.
You plan to share the files with an external partner organization. The partner organization will analyze the files during
the next year.
You need to recommend an external access solution for the storage account. The solution must meet the following
requirements:
Ensure that only the partner organization can access the storage account.
Ensure that access of the partner organization is removed automatically after 365 days.
What should you include in the recommendation?
A. shared keys
B. Azure Blob storage lifecycle management policies
C. Azure policies
D. shared access signature (SAS)
Correct Answer: D
A shared access signature (SAS) is a URI that grants restricted access rights to Azure Storage resources. You can
provide a shared access signature to clients who should not be trusted with your storage account key but to whom you
wish to delegate access to certain storage account resources. By distributing a shared access signature URI to these
clients, you can grant them access to a resource for a specified period of time, with a specified set of permissions.
Reference: https://docs.microsoft.com/en-us/rest/api/storageservices/delegate-access-with-shared-access-signature

 

QUESTION 2
DRAG DROP
You are designing an Azure SQL Data Warehouse for a financial services company. Azure Active Directory will be used
to authenticate the users.
You need to ensure that the following security requirements are met:
1.
Department managers must be able to create a new database.
2.
The IT department must assign users to databases.
3.
Permissions granted must be minimized.
Which role memberships should you recommend? To answer, drag the appropriate roles to the correct groups. Each
role 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:[2021.3] lead4pass dp-201 practice test q2

Correct Answer:

[2021.3] lead4pass dp-201 practice test q2-1

Box 1: DB manager
Members of the DB manager role can create new databases.
Box 2: db_accessadmin
Members of the db_accessadmin fixed database role can add or remove access to the database for Windows logins,
Windows groups, and SQL Server logins.
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-manage-logins

 

QUESTION 3
You need to optimize storage for CONT_SQL3.
What should you recommend?
A. AlwaysOn
B. Transactional processing
C. General
D. Data warehousing
Correct Answer: B
CONT_SQL3 with the SQL Server role, 100 GB database size, Hyper-VM to be migrated to Azure VM. The storage
should be configured to optimized storage for database OLTP workloads.
Azure SQL Database provides three basic in-memory based capabilities (built into the underlying database engine) that
can contribute in a meaningful way to performance improvements:
In-Memory Online Transactional Processing (OLTP) Clustered column store indexes intended primarily for Online
Analytical Processing (OLAP) workloads Nonclustered column store indexes geared towards Hybrid
Transactional/Analytical Processing (HTAP) workloads
References: https://www.databasejournal.com/features/mssql/overview-of-in-memory-technologies-of-azure-sqldatabase.html

 

QUESTION 4
You need to design network access to the SQL Server data.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:

[2021.3] lead4pass dp-201 practice test q4

Correct Answer:

[2021.3] lead4pass dp-201 practice test q4-1

Box 1: 8080
1433 is the default port, but we must change it as CONT_SQL3 must not communicate over the default ports. Because
port 1433 is the known standard for SQL Server, some organizations specify that the SQL Server port number should
be
changed to enhance security.
Box 2: SQL Server Configuration Manager
You can configure an instance of the SQL Server Database Engine to listen on a specific fixed port by using the SQL
Server Configuration Manager.
References:
https://docs.microsoft.com/en-us/sql/database-engine/configure-windows/configure-a-server-to-listen-on-a-specific-tcpport?view=sql-server-2017

 

QUESTION 5
Note: This 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.
You have an Azure SQL database that has columns. The columns contain sensitive Personally Identifiable Information
(PII) data.
You need to design a solution that tracks and stores all the queries executed against the PII data. You must be able to
review the data in Azure Monitor, and the data must be available for at least 45 days.
Solution: You create a SELECT trigger on the table in SQL Database that writes the query to a new table in the
database, and then executes a stored procedure that looks up the column classifications and joins to the query text.
Does this meet the goal?
A. Yes
B. No
Correct Answer: B
Instead, add classifications to the columns that contain sensitive data and turn on Auditing.
Note: Auditing has been enhanced to log sensitivity classifications or labels of the actual data that were returned by the
query. This would enable you to gain insights into who is accessing sensitive data.
References:
https://azure.microsoft.com/en-us/blog/announcing-public-preview-of-data-discovery-classification-for-microsoft-azuresql-data-warehouse/

 

QUESTION 6
You are designing an Azure Cosmos DB database that will support vertices and edges. Which Cosmos DB API should
Do you include in the design?
A. SQL
B. Cassandra
C. Gremlin
D. Table
Correct Answer: C
The Azure Cosmos DB Gremlin API can be used to store massive graphs with billions of vertices and edges.
References: https://docs.microsoft.com/en-us/azure/cosmos-db/graph-introduction

 

QUESTION 7
You need to recommend a storage solution for a sales system that will receive thousands of small files per minute. The
files will be in JSON, text, and CSV formats. The files will be processed and transformed before they are loaded into an
Azure data warehouse. The files must be stored and secured in folders.
Which storage solution should you recommend?
A. Azure Data Lake Storage Gen2
B. Azure Cosmos DB
C. Azure SQL Database
D. Azure Blob storage
Correct Answer: A
Azure provides several solutions for working with CSV and JSON files, depending on your needs. The primary landing
place for these files is either Azure Storage or Azure Data Lake Store.1
Azure Data Lake Storage is optimized storage for big data analytics workloads.
Incorrect Answers:
D: Azure Blob Storage containers is a general-purpose object store for a wide variety of storage scenarios. Blobs are
stored in containers, which are similar to folders.
References: https://docs.microsoft.com/en-us/azure/architecture/data-guide/scenarios/csv-and-json

 

QUESTION 8
A company stores sensitive information about customers and employees in Azure SQL Database.
You need to ensure that the sensitive data remains encrypted in transit and at rest.
What should you recommend?
A. Transparent Data Encryption
B. Always Encrypted with secure enclaves
C. Azure Disk Encryption
D. SQL Server AlwaysOn
Correct Answer: B
Incorrect Answers:
A: Transparent Data Encryption (TDE) encrypts SQL Server, Azure SQL Database, and Azure SQL Data Warehouse
data files, known as encrypting data at rest. TDE does not provide encryption across communication channels.
References: https://cloudblogs.microsoft.com/sqlserver/2018/12/17/confidential-computing-using-always-encrypted-withsecure-enclaves-in-sql-server-2019-preview/

 

QUESTION 9
A company has a real-time data analysis solution that is hosted on Microsoft Azure. The solution uses Azure Event Hub
to ingest data and an Azure Stream Analytics cloud job to analyze the data. The cloud job is configured to use 120
Streaming Units (SU).
You need to optimize performance for the Azure Stream Analytics job.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Implement event ordering
B. Scale the SU count for the job up
C. Implement Azure Stream Analytics user-defined functions (UDF)
D. Scale the SU count for the job down
E. Implement query parallelization by partitioning the data output
F. Implement query parallelization by partitioning the data output
Correct Answer: BF
Scale-out the query by allowing the system to process each input partition separately.
F: A Stream Analytics job definition includes inputs, a query, and output. Inputs are where the job reads the data stream
from.
Reference: https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-parallelization

 

QUESTION 10
You are designing a big data storage solution. The solution must meet the following requirements:
1.
Provide unlimited account sizes.
2.
Support a hierarchical file system.
3.
Be optimized for parallel analytics workloads. Which storage solution should you use?
A. Azure Data Lake Storage Gen2
B. Azure Blob storage
C. Apache HBase in Azure HDInsight
D. Azure Cosmos DB
Correct Answer: A
Azure Data Lake Storage is an optimized performance for parallel analytics workloads
A key mechanism that allows Azure Data Lake Storage Gen2 to provide file system performance at object storage scale
and prices is the addition of a hierarchical namespace. This allows the collection of objects/files within an account to be
organized into a hierarchy of directories and nested subdirectories in the same way that the file system on your
the computer is organized.
References: https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-namespace

 

QUESTION 11
HOTSPOT
You are planning the deployment of two separate Azure Cosmos DB databases named db1 and db2.
You need to recommend a deployment strategy that meets the following requirements:
1. Costs for both databases must be minimized.
2. Db1 must meet an SLA of 99.99% for both reads and writes.
3. Db2 must meet an SLA of 99.99% for writes and 99.999% for reads.
Which deployment strategy should you recommend for each database? To answer, select the appropriate options in the
answer area.
NOTE: Each correct selection is worth one point.
Hot Area:[2021.3] lead4pass dp-201 practice test q11

Correct Answer:

[2021.3] lead4pass dp-201 practice test q11-1

Db1: A single read/write region Db2: A single write region and multi-read regions

[2021.3] lead4pass dp-201 practice test q11-2

References: https://docs.microsoft.com/en-us/azure/cosmos-db/high-availability

 

QUESTION 12
You need to ensure that emergency road response vehicles are dispatched automatically.
How should you design the processing system? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:[2021.3] lead4pass dp-201 practice test q12

Correct Answer:

[2021.3] lead4pass dp-201 practice test q12-1

Events generated from the IoT data sources are sent to the stream ingestion layer through Azure HDInsight Kafka as a
stream of messages. HDInsight Kafka stores a stream of data in topics for a configurable time.
Kafka consumer, Azure Databricks, picks up the message in real-time from the Kafka topic, to process the data based
on the business logic and can then send to the Serving layer for storage.
Downstream storage services, like Azure Cosmos DB, Azure SQL Data warehouse, or Azure SQL DB, will then be a
the data source for presentation and action layer.
Business analysts can use Microsoft Power BI to analyze warehoused data. Other applications can be built upon the
serving layer as well. For example, we can expose APIs based on the service layer data for third-party uses.
Box 2: Cosmos DB Change Feed
Change feed support in Azure Cosmos DB works by listening to an Azure Cosmos DB container for any changes. It
then outputs the sorted list of documents that were changed in the order in which they were modified.
The change feed in Azure Cosmos DB enables you to build efficient and scalable solutions for each of these patterns,
as shown in the following image: [2021.3] lead4pass dp-201 practice test q12-2

 

QUESTION 13
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.
You have streaming data that is received by Azure Event Hubs and stored in Azure Blob storage. The data contains
social media posts that relate to a keyword of Contoso.
You need to count how many times the Contoso keyword and a keyword of Litware appear in the same post every 30
seconds. The data must be available to Microsoft Power BI in near real-time.
Solution: You create an Azure Stream Analytics job that uses input from Event Hubs to count the posts that have the
specified keywords, then and send the data to an Azure SQL database. You consume the data in Power BI by using
DirectQuery mode.
Does the solution meet the goal?
A. Yes
B. No
Correct Answer: A
Reference: https://docs.microsoft.com/en-us/power-bi/service-real-time-streaming
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends


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Posted in dp-201 Designing an Azure Data Solution Microsoft Microsoft DP-201 microsoft dp-201 dumps pdf microsoft dp-201 exam dumps microsoft dp-201 exam questions microsoft dp-201 practice test Microsoft Role-based

[Jan 2021] Microsoft DP-201 exam dumps and online practice questions are available from Lead4Pass

The latest updated Microsoft DP-201 exam dumps and free DP-201 exam practice questions and answers! Latest updates from Lead4Pass Microsoft DP-201 Dumps PDF and DP-201 Dumps VCE, Lead4Pass DP-201 exam questions updated and answers corrected!
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Share the latest Microsoft DP-201 exam practice questions and answers for free from Led4Pass Dumps viewed online by Youtube Videos

The latest updated Microsoft DP-201 Exam Practice Questions and Answers Online Practice Test is free to share from Lead4Pass (Q1-Q13)

QUESTION 1
You are planning a big data solution in Azure.
You need to recommend a technology that meets the following requirements:
1.
Be optimized for batch processing.
2.
Support autoscaling.
3.
Support per-cluster scaling. Which technology should you recommend?
A. Azure Data Warehouse
B. Azure HDInsight with Spark
C. Azure Analysis Services
D. Azure Databricks
Correct Answer: D
Azure Databricks is an Apache Spark-based analytics platform. Azure Databricks supports autoscaling and manages
the Spark cluster for you.
Incorrect Answers: A, B:[2021.1] lead4pass dp-201 practice test q1

 

QUESTION 2
Note: This 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 on the review screen.
You are designing an Azure SQL Database that will use elastic pools. You plan to store data about customers in a table.
Each record uses a value for CustomerID.
You need to recommend a strategy to partition data based on values in CustomerID.
Proposed Solution: Separate data into customer regions by using vertical partitioning.
Does the solution meet the goal?
A. Yes
B. No
Correct Answer: B
Vertical partitioning is used for cross-database queries. Instead, we should use Horizontal Partitioning, which also is
called charging.
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-elastic-query-overview

 

QUESTION 3
You plan to use an Azure SQL data warehouse to store the customer data. You need to recommend a disaster recovery
solution for the data warehouse. What should you include in the recommendation?
A. AzCopy
B. Read-only replicas
C. AdICopy
D. Geo-Redundant backups
Correct Answer: D
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/backup-and-restore

 

QUESTION 4
You need to ensure that emergency road response vehicles are dispatched automatically.
How should you design the processing system? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:[2021.1] lead4pass dp-201 practice test q4

Correct Answer:

[2021.1] lead4pass dp-201 practice test q4-1

Explanation: Box1: API App

[2021.1] lead4pass dp-201 practice test q4-2

Events generated from the IoT data sources are sent to the stream ingestion layer through Azure HDInsight Kafka as a
stream of messages. HDInsight Kafka stores a stream of data in topics for a configurable of time.
Kafka consumer, Azure Databricks, picks up the message in real-time from the Kafka topic, to process the data based
on the business logic and can then send it to the Serving layer for storage.
Downstream storage services, like Azure Cosmos DB, Azure SQL Data warehouse, or Azure SQL DB, will then be a
data source for presentation and action layer.
Business analysts can use Microsoft Power BI to analyze warehoused data. Other applications can be built upon the
serving layer as well. For example, we can expose APIs based on the service layer data for third party uses.
Box 2: Cosmos DB Change Feed
Change feed support in Azure Cosmos DB works by listening to an Azure Cosmos DB container for any changes. It
then outputs the sorted list of documents that were changed in the order in which they were modified.
The change feed in Azure Cosmos DB enables you to build efficient and scalable solutions for each of these patterns,
as shown in the following image:

[2021.1] lead4pass dp-201 practice test q4-3

 

QUESTION 5
HOTSPOT
You are designing a new application that uses Azure Cosmos DB. The application will support a variety of data patterns
including log records and social media mentions.
You need to recommend which Cosmos DB API to use for each data pattern. The solution must minimize resource
utilization.
Which API should you recommend for each data pattern? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:[2021.1] lead4pass dp-201 practice test q5

Correct Answer:

[2021.1] lead4pass dp-201 practice test q5-1

Log records: SQL
Social media mentions: Gremlin You can store the actual graph of followers using Azure Cosmos DB Gremlin API to
create vertexes for each user and edges that maintain the “A-follows-B” relationships. With the Gremlin API, you can get
the followers of a certain user and create more complex queries to suggest people in common. If you add to the graph
the Content Categories that people like or enjoy, you can start weaving experiences that include smart content
discovery, suggesting content that those people you follow like, or finding people that you might have much in common
with.
References: https://docs.microsoft.com/en-us/azure/cosmos-db/social-media-apps

 

QUESTION 6
You need to design the SensorData collection.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:[2021.1] lead4pass dp-201 practice test q6

Correct Answer:

[2021.1] lead4pass dp-201 practice test q6-1

Box 1: Eventual
Traffic data insertion rate must be maximized.
Sensor data must be stored in a Cosmos DB named try data in a collection named SensorData
With Azure Cosmos DB, developers can choose from five well-defined consistency models on the consistency
spectrum. From strongest to more relaxed, the models include strong, bounded staleness, session, consistent prefix,
and eventual
consistency.
Box 2: License plate
This solution reports on all data related to a specific vehicle license plate. The report must use data from the
SensorData collection.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels

 

QUESTION 7
You need to recommend a solution for storing the image tagging data. What should you recommend?
A. Azure File Storage
B. Azure Cosmos DB
C. Azure Blob Storage
D. Azure SQL Database
E. Azure SQL Data Warehouse
Correct Answer: C
Image data must be stored in a single data store at a minimum cost.
Note: Azure Blob storage is Microsoft\\’s object storage solution for the cloud. Blob storage is optimized for storing
massive amounts of unstructured data. Unstructured data is data that does not adhere to a particular data model or
definition,
such as text or binary data.
Blob storage is designed for:
1.
Serving images or documents directly to a browser.
2.
Storing files for distributed access.
3.
Streaming video and audio.
4.
Writing to log files.
5.
Storing data for backup and restore disaster recovery, and archiving.
6.
Storing data for analysis by an on-premises or Azure-hosted service.
References: https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blobs-introduction

 

QUESTION 8
You need to design a telemetry data solution that supports the analysis of log files in real-time.
Which two Azure services should you include in the solution? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Azure Databricks
B. Azure Data Factory
C. Azure Event Hubs
D. Azure Data Lake Storage Gent 2
E. Azure IoT Hub
Correct Answer: AC
You connect a data ingestion system with Azure Databricks to stream data into an Apache Spark cluster in near realtime. You set up a data ingestion system using Azure Event Hubs and then connect it to Azure Databricks to process the
messages coming through.
Note: Azure Event Hubs is a highly scalable data streaming platform and event ingestion service, capable of receiving
and processing millions of events per second. Event Hubs can process and store events, data, or telemetry produced by
distributed software and devices. Data sent to an event hub can be transformed and stored using any real-time analytics
provider or batching/storage adapters.
References: https://docs.microsoft.com/en-us/azure/azure-databricks/databricks-stream-from-eventhubs

 

QUESTION 9
Note: This 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 on the review screen.
You plan to store delimited text files in an Azure Data Lake Storage account that will be organized into the department
folders.
You need to configure data access so that users see only the files in their respective department folders.
Solution: From the storage account, you disable a hierarchical namespace, and you use access control lists (ACLs).
Does this meet the goal?
A. Yes
B. No
Correct Answer: A
Azure Data Lake Storage implements an access control model that derives from HDFS, which in turn derives from the
POSIX access control model.
Blob container ACLs do not support the hierarchical namespace, so it must be disabled.
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-known-issues
https://docs.microsoft.com/en-us/azure/data-lake-store/data-lake-store-access-control

 

QUESTION 10
You need to recommend a storage solution for a sales system that will receive thousands of small files per minute. The
files will be in JSON, text, and CSV formats. The files will be processed and transformed before they are loaded into an
Azure data warehouse. The files must be stored and secured in folders.
Which storage solution should you recommend?
A. Azure Data Lake Storage Gen2
B. Azure Cosmos DB
C. Azure SQL Database
D. Azure Blob storage
Correct Answer: A
Azure provides several solutions for working with CSV and JSON files, depending on your needs. The primary landing
place for these files is either Azure Storage or Azure Data Lake Store.1
Azure Data Lake Storage is optimized storage for big data analytics workloads.
Incorrect Answers:
D: Azure Blob Storage containers is a general-purpose object store for a wide variety of storage scenarios. Blobs are
stored in containers, which are similar to folders.
References: https://docs.microsoft.com/en-us/azure/architecture/data-guide/scenarios/csv-and-json

 

QUESTION 11
You need to design the Planning Assistance database.
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:[2021.1] lead4pass dp-201 practice test q11

Correct Answer:

[2021.1] lead4pass dp-201 practice test q11-1

Box 1: No
Data used for Planning Assistance must be stored in a sharded Azure SQL Database.
Box 2: Yes
Box 3: Yes
Planning Assistance database will include reports tracking the travel of a single-vehicle


QUESTION 12
What should you recommend using to secure sensitive customer contact information?
A. data labels
B. column-level security
C. row-level security
D. Transparent Data Encryption (TDE)
Correct Answer: B
Scenario: All cloud data must be encrypted at rest and in transit.
Always Encrypted is a feature designed to protect sensitive data stored in specific database columns from access (for
example, credit card numbers, national identification numbers, or data on a need to know basis). This includes database
administrators or other privileged users who are authorized to access the database to perform management tasks but
have no business need to access the particular data in the encrypted columns. The data is always encrypted, which
means the encrypted data is decrypted only for processing by client applications with access to the encryption key.
Incorrect Answers:
A: Transparent Data Encryption (TDE) encrypts SQL Server, Azure SQL Database, and Azure SQL Data Warehouse
data files, known as encrypting data at rest. TDE does not provide encryption across communication channels.
References: https://docs.microsoft.com/en-us/azure/sql-database/sql-database-security-overview

 

QUESTION 13
You need to design the unauthorized data usage detection system. What Azure service should you include in the
design?
A. Azure Analysis Services
B. Azure SQL Data Warehouse
C. Azure Databricks
D. Azure Data Factory
Correct Answer: B
SQL Database and SQL Data Warehouse
SQL threat detection identifies anomalous activities indicating unusual and potentially harmful attempts to access or
exploit databases.
Advanced Threat Protection for Azure SQL Database and SQL Data Warehouse detects anomalous activities indicating
unusual and potentially harmful attempts to access or exploit databases.
Scenario:
Requirements. Security
The solution must meet the following security requirements:
Unauthorized usage of data must be detected in real-time. Unauthorized usage is determined by looking for unusual
usage patterns.
Reference:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-threat-detection-overview


Fulldumps shares the latest updated Microsoft DP-201 exam exercise questions, DP-201 dumps pdf, and Youtube video learning for free.
All exam questions and answers come from the Lead4pass exam dumps shared part! Lead4pass updates throughout the year and shares a portion of your exam questions for free to help you understand the exam content and enhance your exam experience!
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Microsoft DP-201 Online Exam Practice Questions

QUESTION 1
You need to design the solution for analyzing customer data.
What should you recommend?
A. Azure Databricks
B. Azure Data Lake Storage
C. Azure SQL Data Warehouse
D. Azure Cognitive Services
E. Azure Batch
Correct Answer: A
Customer data must be analyzed using managed Spark clusters.
You create spark clusters through Azure Databricks.
References:
https://docs.microsoft.com/en-us/azure/azure-databricks/quickstart-create-databricks-workspace-portal

 

QUESTION 2
You are designing an Azure Cosmos DB database that will support vertices and edges. Which Cosmos DB API should you include in the design?
A. SQL
B. Cassandra
C. Gremlin
D. Table
Correct Answer: C
The Azure Cosmos DB Gremlin API can be used to store massive graphs with billions of vertices and edges.
References: https://docs.microsoft.com/en-us/azure/cosmos-db/graph-introduction

 

QUESTION 3
You are designing a real-time stream solution based on Azure Functions. The solution will process data uploaded to
Azure Blob Storage. The solution requirements are as follows:
1. New blobs must be processed with a little delay as possible.
2.
Scaling must occur automatically.
3.
Costs must be minimized. What should you recommend?
A. Deploy the Azure Function in an App Service plan and use a Blob trigger.
B. Deploy the Azure Function in a Consumption plan and use an Event Grid trigger.
C. Deploy the Azure Function in a Consumption plan and use a Blob trigger.
D. Deploy the Azure Function in an App Service plan and use an Event Grid trigger.
Correct Answer: C
Create a function, with the help of a blob trigger template, which is triggered when files are uploaded to or updated in
Azure Blob storage. You use a consumption plan, which is a hosting plan that defines how resources are allocated to
your function app. In the default Consumption Plan, resources are added dynamically as required by your functions. In
this serverless hosting, you only pay for the time your functions run. When you run in an App Service Plan, you must
manage the scaling of your function app.
References: https://docs.microsoft.com/en-us/azure/azure-functions/functions-create-storage-blob-triggered-function

 

QUESTION 4
You need to optimize storage for CONT_SQL3.
What should you recommend?
A. AlwaysOn
B. Transactional processing
C. General
D. Data warehousing
Correct Answer: B
CONT_SQL3 with the SQL Server role, 100 GB database size, Hyper-VM to be migrated to Azure VM. The storage
should be configured to optimized storage for database OLTP workloads.
Azure SQL Database provides three basic in-memory based capabilities (built into the underlying database engine) that
can contribute in a meaningful way to performance improvements:
In-Memory Online Transactional Processing (OLTP) Clustered column store indexes intended primarily for Online
Analytical Processing (OLAP) workloads Nonclustered column store indexes geared towards Hybrid
Transactional/Analytical Processing (HTAP) workloads
References: https://www.databasejournal.com/features/mssql/overview-of-in-memory-technologies-of-azure-sql-database.html 

 

QUESTION 5
Note: This 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 on the review screen.
You are designing an HDInsight/Hadoop cluster solution that uses Azure Data Lake Gen1 Storage.
The solution requires POSIX permissions and enables diagnostics logging for auditing.
You need to recommend solutions that optimize storage.
Proposed Solution: Implement compaction jobs to combine small files into larger files.
Does the solution meet the goal?
A. Yes
B. No
Correct Answer: A
Depending on what services and workloads are using the data, a good size to consider for files is 256 MB or greater. If
the file sizes cannot be batched when landing in Data Lake Storage Gen1, you can have a separate compaction job that
combines these files into larger ones.
Note: POSIX permissions and auditing in Data Lake Storage Gen1 comes with an overhead that becomes apparent
when working with numerous small files. As a best practice, you must batch your data into larger files versus writing
thousands or millions of small files to Data Lake Storage Gen1. Avoiding small file sizes can have multiple benefits,
such as:
1.
Lowering the authentication checks across multiple files
2.
Reduced open file connections
3.
Faster copying/replication
4.
Fewer files to process when updating Data Lake Storage Gen1 POSIX permissions
References: https://docs.microsoft.com/en-us/azure/data-lake-store/data-lake-store-best-practices

 

QUESTION 6
You need to ensure that emergency road response vehicles are dispatched automatically.
How should you design the processing system? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area: lead4pass dp-201 exam questions q6

Correct Answer:

lead4pass dp-201 exam questions q6-1

Explanation: Box1: API App

lead4pass dp-201 exam questions q6-2

Events generated from the IoT data sources are sent to the stream ingestion layer through Azure HDInsight Kafka as a
stream of messages. HDInsight Kafka stores a stream of data in topics for a configurable of time.
Kafka consumer, Azure Databricks, picks up the message in real-time from the Kafka topic, to process the data based
on the business logic and can then send to the Serving layer for storage.
Downstream storage services, like Azure Cosmos DB, Azure SQL Data warehouse, or Azure SQL DB, will then be a data source for presentation and action layer.
Business analysts can use Microsoft Power BI to analyze warehoused data. Other applications can be built upon the
serving layer as well. For example, we can expose APIs based on the service layer data for third party uses.
Box 2: Cosmos DB Change Feed
Change feed support in Azure Cosmos DB works by listening to an Azure Cosmos DB container for any changes. It
then outputs the sorted list of documents that were changed in the order in which they were modified.
The change feed in Azure Cosmos DB enables you to build efficient and scalable solutions for each of these patterns,
as shown in the following image:

lead4pass dp-201 exam questions q6-3

References: https://docs.microsoft.com/bs-cyrl-ba/azure/architecture/example-scenario/data/realtime-analytics-vehicleiot?view=azurermps-4.4.1

 

QUESTION 7
You need to design the disaster recovery solution for customer sales data analytics.
Which three actions should you recommend? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Provision multiple Azure Databricks workspaces in separate Azure regions.
B. Migrate users, notebooks, and cluster configurations from one workspace to another in the same region.
C. Use zone redundant storage.
D. Migrate users, notebooks, and cluster configurations from one region to another.
E. Use Geo-redundant storage.
F. Provision a second Azure Databricks workspace in the same region.
Correct Answer: ADE
Scenario: The analytics solution for customer sales data must be available during a regional outage.
To create your own regional disaster recovery topology for data bricks, follow these requirements:
Provision multiple Azure Databricks workspaces in separate Azure regions
Use Geo-redundant storage.
Once the secondary region is created, you must migrate the users, user folders, notebooks, cluster configuration, jobs
configuration, libraries, storage, init scripts and reconfigure access control.
Note: Geo-redundant storage (GRS) is designed to provide at least 99.99999999999999% (16 9\\’s) durability of objects
over a given year by replicating your data to a secondary region that is hundreds of miles away from the primary region.
If
your storage account has GRS enabled, then your data is durable even in the case of a complete regional outage or a
disaster in which the primary region isn\\’t recoverable.
References:
https://docs.microsoft.com/en-us/azure/storage/common/storage-redundancy-grs

 

QUESTION 8
A company is developing a mission-critical line of business app that uses Azure SQL Database Managed Instance.
You must design a disaster recovery strategy for the solution/You need to ensure that the database automatically recovers when the full or partial loss of the Azure SQL Database
service occurs in the primary region.
What should you recommend?
A. Failover-group
B. Azure SQL Data Sync
C. SQL Replication
D. Active geo-replication
Correct Answer: A
Auto-failover groups is a SQL Database feature that allows you to manage replication and failover of a group of
databases on a SQL Database server or all databases in a Managed Instance to another region (currently in public
preview for Managed Instance). It uses the same underlying technology as active geo-replication. You can initiate
failover manually or you can delegate it to the SQL Database service based on a user-defined policy.
References: https://docs.microsoft.com/en-us/azure/sql-database/sql-database-auto-failover-group

 

QUESTION 9
You are designing a data storage solution for a database that is expected to grow to 50 TB. The usage pattern is
singleton inserts, singleton updates, and reporting. Which storage solution should you use?
A. Azure SQL. Database elastic pools
B. Azure SQL Data Warehouse
C. Azure Cosmos DB that uses the Gremlin API
D. Azure SQL Database Hyperscale
Correct Answer: D
A Hyperscale database is an Azure SQL database in the Hyperscale service tier that is backed by the Hyperscale scaleout storage technology. A Hyperscale database supports up to 100 TB of data and provides high throughput and
performance, as well as rapid scaling to adapt to the workload requirements. Scaling is transparent to the application
?connectivity, query processing, etc. work like any other Azure SQL database.
Incorrect Answers:
A: SQL Database elastic pools are a simple, cost-effective solution for managing and scaling multiple databases that
have varying and unpredictable usage demands. The databases in an elastic pool are on a single Azure SQL Database
server and share a set number of resources at a set price. Elastic pools in Azure SQL Database enable SaaS
developers to optimize the price performance for a group of databases within a prescribed budget while delivering
performance elasticity for each database.
B: Rather than SQL Data Warehouse, consider other options for operational (OLTP) workloads that have large numbers
of singleton selects.
References: https://docs.microsoft.com/en-us/azure/sql-database/sql-database-service-tier-hyperscale-faq

 

QUESTION 10
A company manufactures automobile parts. The company installs IoT sensors on manufacturing machinery.
You must design a solution that analyzes data from the sensors.
You need to recommend a solution that meets the following requirements:
1.
Data must be analyzed in real-time.
2.
Data queries must be deployed using continuous integration.
3.
Data must be visualized by using charts and graphs.
4.
Data must be available for ETL operations in the future.
5.
The solution must support high-volume data ingestion.
Which three actions should you recommend? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Use Azure Analysis Services to query the data. Output query results to Power BI.
B. Configure an Azure Event Hub to capture data to Azure Data Lake Storage.
C. Develop an Azure Stream Analytics application that queries the data and outputs to Power BI. Use Azure Data
Factory to deploy the Azure Stream Analytics application.
D. Develop an application that sends the IoT data to an Azure Event Hub.
E. Develop an Azure Stream Analytics application that queries the data and outputs to Power BI. Use Azure Pipelines to
deploy the Azure Stream Analytics application.
F. Develop an application that sends the IoT data to an Azure Data Lake Storage container.
Correct Answer: BCD

 

QUESTION 11
You are designing an application. You plan to use Azure SQL Database to support the application.
The application will extract data from the Azure SQL Database and create text documents. The text documents will be placed into a cloud-based storage solution. The text storage solution must be accessible from an SMB network share.
You need to recommend a data storage solution for the text documents.
Which Azure data storage type should you recommend?
A. Queue
B. Files
C. Blob
D. Table
Correct Answer: B
Azure Files enables you to set up highly available network file shares that can be accessed by using the standard
Server Message Block (SMB) protocol. Incorrect Answers:
A: The Azure Queue service is used to store and retrieve messages. It is generally used to store lists of messages to be
processed asynchronously.
C: Blob storage is optimized for storing massive amounts of unstructured data, such as text or binary data. Blob storage
can be accessed via HTTP or HTTPS but not via SMB.
D: Azure Table storage is used to store large amounts of structured data. Azure tables are ideal for storing structured,
non-relational data.
References: https://docs.microsoft.com/en-us/azure/storage/common/storage-introduction https://docs.microsoft.com/enus/azure/storage/tables/table-storage-overview

 

QUESTION 12
You need to recommend the appropriate storage and processing solution?
What should you recommend?
A. Enable auto-shrink on the database.
B. Flush the blob cache using Windows PowerShell.
C. Enable Apache Spark RDD (RDD) caching.
D. Enable Databricks IO (DBIO) caching.
E. Configure the reading speed using Azure Data Studio.
Correct Answer: C
Scenario: You must be able to use a file system view of data stored in a blob. You must build an architecture that will
allow Contoso to use the DB FS filesystem layer over a blob store.
Databricks File System (DBFS) is a distributed file system installed on Azure Databricks clusters. Files in DBFS persist
to Azure Blob storage, so you won\\’t lose data even after you terminate a cluster. The Databricks Delta cache, previously named Databricks IO (DBIO) caching, accelerates data reads by creating copies
of remote files in nodes

 

QUESTION 13
Inventory levels must be calculated by subtracting the current day\\’s sales from the previous day\\’s final inventory.
Which two options provide Litware with the ability to quickly calculate the current inventory levels by store and product?
Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Consume the output of the event hub by using Azure Stream Analytics and aggregate the data by store and product.
Output the resulting data directly to Azure SQL Data Warehouse. Use Transact-SQL to calculate the inventory levels.
B. Output Event Hubs Avro files to Azure Blob storage. Use Transact-SQL to calculate the inventory levels by using
PolyBase in Azure SQL Data Warehouse.
C. Consume the output of the event hub by using Databricks. Use Databricks to calculate the inventory levels and
output the data to Azure SQL Data Warehouse.
D. Consume the output of the event hub by using Azure Stream Analytics and aggregate the data by store and product.
Output the resulting data into Databricks. Calculate the inventory levels in Databricks and output the data to Azure Blob
storage.
E. Output Event Hubs Avro files to Azure Blob storage. Trigger an Azure Data Factory copy activity to run every 10
minutes to load the data into Azure SQL Data Warehouse. Use Transact-SQL to aggregate the data by store and
product.
Correct Answer: AE
A: Azure Stream Analytics is a fully managed service providing low-latency, highly available, scalable complex event
processing over streaming data in the cloud. You can use your Azure SQL Data Warehouse database as an output sink
for your Stream Analytics jobs.
E: Event Hubs Capture is the easiest way to get data into Azure. Using Azure Data Lake, Azure Data Factory, and
Azure HDInsight, you can perform batch processing and other analytics using familiar tools and platforms of your
choosing, at
any scale you need.
Note: Event Hubs Capture creates files in Avro format.
Captured data is written in Apache Avro format: a compact, fast, binary format that provides rich data structures with the inline schema. This format is widely used in the Hadoop ecosystem, Stream Analytics, and Azure Data Factory.
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 the discount amount, from the point of sale (POS)
system and output the data to data storage in Azure.
Reference: https://docs.microsoft.com/bs-latn-ba/azure/sql-data-warehouse/sql-data-warehouse-integrate-azure-streamanalytics https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-capture-overview


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