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NEW QUESTION 1

You have an Azure Stream Analytics job that is a Stream Analytics project solution in Microsoft Visual Studio. The job accepts data generated by IoT devices in the JSON format.
You need to modify the job to accept data generated by the IoT devices in the Protobuf format.
Which three actions should you perform from Visual Studio on sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
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Solution:
Step 1: Add an Azure Stream Analytics Custom Deserializer Project (.NET) project to the solution. Create a custom deserializer
* 1. Open Visual Studio and select File > New > Project. Search for Stream Analytics and select Azure Stream Analytics Custom Deserializer Project (.NET). Give the project a name, like Protobuf Deserializer.
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* 2. In Solution Explorer, right-click your Protobuf Deserializer project and select Manage NuGet Packages from the menu. Then install the Microsoft.Azure.StreamAnalytics and Google.Protobuf NuGet packages.
* 3. Add the MessageBodyProto class and the MessageBodyDeserializer class to your project.
* 4. Build the Protobuf Deserializer project.
Step 2: Add .NET deserializer code for Protobuf to the custom deserializer project
Azure Stream Analytics has built-in support for three data formats: JSON, CSV, and Avro. With custom .NET deserializers, you can read data from other formats such as Protocol Buffer, Bond and other user defined formats for both cloud and edge jobs.
Step 3: Add an Azure Stream Analytics Application project to the solution Add an Azure Stream Analytics project
DP-203 dumps exhibit In Solution Explorer, right-click the Protobuf Deserializer solution and select Add > New Project. Under Azure Stream Analytics > Stream Analytics, choose Azure Stream Analytics Application. Name it ProtobufCloudDeserializer and select OK.
DP-203 dumps exhibit Right-click References under the ProtobufCloudDeserializer Azure Stream Analytics project. Under Projects, add Protobuf Deserializer. It should be automatically populated for you.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/custom-deserializer

Does this meet the goal?
  • A. Yes
  • B. Not Mastered

Answer: A

NEW QUESTION 2

You have an Azure data factory that has the Git repository settings shown in the following exhibit.
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Use the drop-down menus to select the answer choose that completes each statement based on the information presented in the graphic.
NOTE: Each correct answer is worth one point.
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Solution:
DP-203 dumps exhibit

Does this meet the goal?
  • A. Yes
  • B. Not Mastered

Answer: A

NEW QUESTION 3

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 scenario, 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 Storage account that contains 100 GB of files. The files contain text and numerical values. 75% of the rows contain description data that has an average length of 1.1 MB.
You plan to copy the data from the storage account to an enterprise data warehouse in Azure Synapse Analytics.
You need to prepare the files to ensure that the data copies quickly. Solution: You convert the files to compressed delimited text files. Does this meet the goal?

  • A. Yes
  • B. No

Answer: A

Explanation:
All file formats have different performance characteristics. For the fastest load, use compressed delimited text files.
Reference:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/guidance-for-loading-data

NEW QUESTION 4

Which Azure Data Factory components should you recommend using together to import the daily inventory data from the SQL server to Azure Data Lake Storage? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
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Solution:
Box 1: Self-hosted integration runtime
A self-hosted IR is capable of running copy activity between a cloud data stores and a data store in private network.
Box 2: Schedule trigger Schedule every 8 hours Box 3: Copy activity Scenario:
DP-203 dumps exhibit Customer data, including name, contact information, and loyalty number, comes from Salesforce and can be imported into Azure once every eight hours. Row modified dates are not trusted in the source table.
DP-203 dumps exhibit Product data, including product ID, name, and category, comes from Salesforce and can be imported into Azure once every eight hours. Row modified dates are not trusted in the source table.

Does this meet the goal?
  • A. Yes
  • B. Not Mastered

Answer: A

NEW QUESTION 5

You have an Azure Synapse Analytics dedicated SQL pool that contains a table named Sales.Orders. Sales.Orders contains a column named SalesRep.
You plan to implement row-level security (RLS) for Sales.Orders.
You need to create the security policy that will be used to implement RLS. The solution must ensure that sales representatives only see rows for which the value of the SalesRep column matches their username.
How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
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Solution:
DP-203 dumps exhibit

Does this meet the goal?
  • A. Yes
  • B. Not Mastered

Answer: A

NEW QUESTION 6

You have an Azure Factory instance named DF1 that contains a pipeline named PL1.PL1 includes a tumbling window trigger.
You create five clones of PL1. You configure each clone pipeline to use a different data source.
You need to ensure that the execution schedules of the clone pipeline match the execution schedule of PL1. What should you do?

  • A. Add a new trigger to each cloned pipeline
  • B. Associate each cloned pipeline to an existing trigger.
  • C. Create a tumbling window trigger dependency for the trigger of PL1.
  • D. Modify the Concurrency setting of each pipeline.

Answer: B

NEW QUESTION 7

You have an Azure Data Factory version 2 (V2) resource named Df1. Df1 contains a linked service. You have an Azure Key vault named vault1 that contains an encryption key named key1.
You need to encrypt Df1 by using key1. What should you do first?

  • A. Add a private endpoint connection to vaul 1.
  • B. Enable Azure role-based access control on vault 1.
  • C. Remove the linked service from Df1.
  • D. Create a self-hosted integration runtime.

Answer: C

Explanation:
Linked services are much like connection strings, which define the connection information needed for Data Factory to connect to external resources.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/enable-customer-managed-key https://docs.microsoft.com/en-us/azure/data-factory/concepts-linked-services https://docs.microsoft.com/en-us/azure/data-factory/create-self-hosted-integration-runtime

NEW QUESTION 8

You have a SQL pool in Azure Synapse that contains a table named dbo.Customers. The table contains a column name Email.
You need to prevent nonadministrative users from seeing the full email addresses in the Email column. The users must see values in a format of aXXX@XXXX.com instead.
What should you do?

  • A. From Microsoft SQL Server Management Studio, set an email mask on the Email column.
  • B. From the Azure portal, set a mask on the Email column.
  • C. From Microsoft SQL Server Management studio, grant the SELECT permission to the users for all the columns in the dbo.Customers table except Email.
  • D. From the Azure portal, set a sensitivity classification of Confidential for the Email column.

Answer: D

Explanation:
From Microsoft SQL Server Management Studio, set an email mask on the Email column. This is because "This feature cannot be set using portal for Azure Synapse (use PowerShell or REST API) or SQL Managed Instance." So use Create table statement with Masking e.g. CREATE TABLE Membership (MemberID int IDENTITY PRIMARY KEY, FirstName varchar(100) MASKED WITH (FUNCTION = 'partial(1,"XXXXXXX",0)') NULL, . .
https://docs.microsoft.com/en-us/azure/azure-sql/database/dynamic-data-masking-overview
upvoted 24 times

NEW QUESTION 9

You are batch loading a table in an Azure Synapse Analytics dedicated SQL pool.
You need to load data from a staging table to the target table. The solution must ensure that if an error occurs while loading the data to the target table, all the inserts in that batch are undone.
How should you complete the Transact-SQL code? 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.
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Solution:
DP-203 dumps exhibit

Does this meet the goal?
  • A. Yes
  • B. Not Mastered

Answer: A

NEW QUESTION 10

You are monitoring an Azure Stream Analytics job.
You discover that the Backlogged Input Events metric is increasing slowly and is consistently non-zero. You need to ensure that the job can handle all the events.
What should you do?

  • A. Change the compatibility level of the Stream Analytics job.
  • B. Increase the number of streaming units (SUs).
  • C. Remove any named consumer groups from the connection and use $default.
  • D. Create an additional output stream for the existing input stream.

Answer: B

Explanation:
Backlogged Input Events: Number of input events that are backlogged. A non-zero value for this metric implies that your job isn't able to keep up with the number of incoming events. If this value is slowly increasing or consistently non-zero, you should scale out your job. You should increase the Streaming Units.
Note: Streaming Units (SUs) represents the computing resources that are allocated to execute a Stream Analytics job. The higher the number of SUs, the more CPU and memory resources are allocated for your job.
Reference:
https://docs.microsoft.com/bs-cyrl-ba/azure/stream-analytics/stream-analytics-monitoring

NEW QUESTION 11

You have an Azure Storage account and a data warehouse in Azure Synapse Analytics in the UK South region. You need to copy blob data from the storage account to the data warehouse by using Azure Data Factory. The solution must meet the following requirements:
DP-203 dumps exhibit Ensure that the data remains in the UK South region at all times.
DP-203 dumps exhibit Minimize administrative effort.
Which type of integration runtime should you use?

  • A. Azure integration runtime
  • B. Azure-SSIS integration runtime
  • C. Self-hosted integration runtime

Answer: A

Explanation:
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Reference:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-integration-runtime

NEW QUESTION 12

You have an Azure subscription that contains an Azure Data Lake Storage Gen2 account named storage1. Storage1 contains a container named container1. Container1 contains a directory named directory1. Directory1 contains a file named file1.
You have an Azure Active Directory (Azure AD) user named User1 that is assigned the Storage Blob Data Reader role for storage1.
You need to ensure that User1 can append data to file1. The solution must use the principle of least privilege. Which permissions should you grant? To answer, drag the appropriate permissions to the correct resources.
Each permission 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.
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Solution:
Box 1: Execute
If you are granting permissions by using only ACLs (no Azure RBAC), then to grant a security principal read or write access to a file, you'll need to give the security principal Execute permissions to the root folder of the container, and to each folder in the hierarchy of folders that lead to the file.
Box 2: Execute
On Directory: Execute (X): Required to traverse the child items of a directory Box 3: Write
On file: Write (W): Can write or append to a file. Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-access-control

Does this meet the goal?
  • A. Yes
  • B. Not Mastered

Answer: A

NEW QUESTION 13

You have the Azure Synapse Analytics pipeline shown in the following exhibit.
DP-203 dumps exhibit
You need to add a set variable activity to the pipeline to ensure that after the pipeline’s completion, the status of the pipeline is always successful.
What should you configure for the set variable activity?

  • A. a success dependency on the Business Activity That Fails activity
  • B. a failure dependency on the Upon Failure activity
  • C. a skipped dependency on the Upon Success activity
  • D. a skipped dependency on the Upon Failure activity

Answer: A

Explanation:
A failure dependency means that the activity will run only if the previous activity fails. In this case, setting a failure dependency on the Upon Failure activity will ensure that the set variable activity will run after the pipeline fails and set the status of the pipeline to successful.

NEW QUESTION 14

You have an Azure subscription that contains an Azure Synapse Analytics dedicated SQL pool. You plan to deploy a solution that will analyze sales data and include the following:
• A table named Country that will contain 195 rows
• A table named Sales that will contain 100 million rows
• A query to identify total sales by country and customer from the past 30 days
You need to create the tables. The solution must maximize query performance.
How should you complete the script? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
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Solution:
DP-203 dumps exhibit

Does this meet the goal?
  • A. Yes
  • B. Not Mastered

Answer: A

NEW QUESTION 15

You have an Azure Synapse Analytics dedicated SQL pool named Pool1 and a database named DB1. DB1 contains a fact table named Table1.
You need to identify the extent of the data skew in Table1. What should you do in Synapse Studio?

  • A. Connect to the built-in pool and run dbcc pdw_showspaceused.
  • B. Connect to the built-in pool and run dbcc checkalloc.
  • C. Connect to Pool1 and query sys.dm_pdw_node_scacus.
  • D. Connect to Pool1 and query sys.dm_pdw_nodes_db_partition_scacs.

Answer: A

Explanation:
A quick way to check for data skew is to use DBCC PDW_SHOWSPACEUSED. The following SQL code returns the number of table rows that are stored in each of the 60 distributions. For balanced performance, the rows in your distributed table should be spread evenly across all the distributions.
DBCC PDW_SHOWSPACEUSED('dbo.FactInternetSales'); Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-distribu

NEW QUESTION 16
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