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Free PDF Quiz DP-203 - Data Engineering on Microsoft Azure Updated Reliable Real Exam

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Microsoft Data Engineering on Microsoft Azure Sample Questions (Q73-Q78):

NEW QUESTION # 73
You are designing an enterprise data warehouse in Azure Synapse Analytics that will store website traffic analytics in a star schema.
You plan to have a fact table for website visits. The table will be approximately 5 GB.
You need to recommend which distribution type and index type to use for the table. The solution must provide the fastest query performance.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
DP-203-d8edcb54132b7b19d7c5d83c75c1f25b.jpg

Answer:

Explanation:
DP-203-c028fcbf9f57e204e0034e8c71a65e38.jpg
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-distribute
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-index


NEW QUESTION # 74
You plan to create an Azure Synapse Analytics dedicated SQL pool.
You need to minimize the time it takes to identify queries that return confidential information as defined by the company's data privacy regulations and the users who executed the queues.
Which two components should you include in the solution? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. dynamic data masking for columns that contain confidential information
  • B. sensitivity-classification labels applied to columns that contain confidential information
  • C. audit logs sent to a Log Analytics workspace
  • D. resource tags for databases that contain confidential information

Answer: B,C

Explanation:
A: You can classify columns manually, as an alternative or in addition to the recommendation-based classification:
DP-203-92090da459e8e288e54357f039d26edc.jpg
1. Select Add classification in the top menu of the pane.
2. In the context window that opens, select the schema, table, and column that you want to classify, and the information type and sensitivity label.
3. Select Add classification at the bottom of the context window.
C: An important aspect of the information-protection paradigm is the ability to monitor access to sensitive data.
Azure SQL Auditing has been enhanced to include a new field in the audit log called data_sensitivity_information. This field logs the sensitivity classifications (labels) of the data that was returned by a query. Here's an example:
DP-203-0c7775276daf5d60ec8caa351d65816c.jpg
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/data-discovery-and-classification-overview


NEW QUESTION # 75
You have a self-hosted integration runtime in Azure Data Factory.
The current status of the integration runtime has the following configurations:
Status: Running
Type: Self-Hosted
Running / Registered Node(s): 1/1
High Availability Enabled: False
Linked Count: 0
Queue Length: 0
Average Queue Duration. 0.00s
The integration runtime has the following node details:
Name: X-M
Status: Running
Available Memory: 7697MB
CPU Utilization: 6%
Network (In/Out): 1.21KBps/0.83KBps
Concurrent Jobs (Running/Limit): 2/14
Role: Dispatcher/Worker
Credential Status: In Sync
Use the drop-down menus to select the answer choice that completes each statement based on the information presented.
NOTE: Each correct selection is worth one point.
DP-203-bc974b0e900f0f69c40fdc6f4d2c2457.jpg

Answer:

Explanation:
DP-203-0a27007d55ced7061f4a6ba7161c163f.jpg
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/create-self-hosted-integration-runtime


NEW QUESTION # 76
You have an Azure event hub named retailhub that has 16 partitions. Transactions are posted to retailhub.
Each transaction includes the transaction ID, the individual line items, and the payment details. The transaction ID is used as the partition key.
You are designing an Azure Stream Analytics job to identify potentially fraudulent transactions at a retail store. The job will use retailhub as the input. The job will output the transaction ID, the individual line items, the payment details, a fraud score, and a fraud indicator.
You plan to send the output to an Azure event hub named fraudhub.
You need to ensure that the fraud detection solution is highly scalable and processes transactions as quickly as possible.
How should you structure the output of the Stream Analytics job? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
DP-203-52e34397e11ff0a90846433b6cee4205.jpg

Answer:

Explanation:
DP-203-a3a8a4e61c3cc502efceef203a22e9d1.jpg
Explanation
DP-203-32e9f1515ceebecb028d2d2d456f9ead.jpg
Box 1: 16
For Event Hubs you need to set the partition key explicitly.
An embarrassingly parallel job is the most scalable scenario in Azure Stream Analytics. It connects one partition of the input to one instance of the query to one partition of the output.
Box 2: Transaction ID
Reference:
https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-features#partitions


NEW QUESTION # 77
You have an enterprise-wide Azure Data Lake Storage Gen2 account. The data lake is accessible only through an Azure virtual network named VNET1.
You are building a SQL pool in Azure Synapse that will use data from the data lake.
Your company has a sales team. All the members of the sales team are in an Azure Active Directory group named Sales. POSIX controls are used to assign the Sales group access to the files in the data lake.
You plan to load data to the SQL pool every hour.
You need to ensure that the SQL pool can load the sales data from the data lake.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each area selection is worth one point.

  • A. Create a shared access signature (SAS).
  • B. Add the managed identity to the Sales group.
  • C. Use the managed identity as the credentials for the data load process.
  • D. Add your Azure Active Directory (Azure AD) account to the Sales group.
  • E. Use the snared access signature (SAS) as the credentials for the data load process.
  • F. Create a managed identity.

Answer: B,D,F

Explanation:
Explanation
The managed identity grants permissions to the dedicated SQL pools in the workspace.
Note: Managed identity for Azure resources is a feature of Azure Active Directory. The feature provides Azure services with an automatically managed identity in Azure AD Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/security/synapse-workspace-managed-identity


NEW QUESTION # 78
......

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