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New 2022 Latest Questions DP-203 Dumps - Use Updated Microsoft Exam [Q40-Q56]

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New 2022 Latest Questions DP-203 Dumps - Use Updated Microsoft Exam

Latest DP-203 Exam Dumps Microsoft Exam from Training Expert TestSimulate


Skills measured

  • Design and develop data processing (25-30%)
  • Design and implement data storage (40-45%)
  • Monitor and optimize data storage and data processing (10-15%)
  • Design and implement data security (10-15%)

Microsoft DP-203 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Configure error handling for the transformation
  • Design and Develop Data Processing
Topic 2
  • Design a folder structure that represents the levels of data transformation
  • Optimize and troubleshoot data storage and data processing
Topic 3
  • Design metastores in Azure Synapse Analytics and Azure Databricks
  • Transform data by using Azure Synapse Pipelines
Topic 4
  • Identify when partitioning is needed in Azure Data Lake Storage Gen2
  • Design and develop slowly changing dimensions
Topic 5
  • Monitor and Optimize Data Storage and Data Processing
  • Implement physical data storage structures
Topic 6
  • Optimize pipelines for analytical or transactional purposes
  • Transform data by using Stream Analytics
Topic 7
  • Design and develop a stream processing solution
  • Implement a dimensional hierarchy
Topic 8
  • Implement file and folder structures for efficient querying and data pruning
  • Design a data storage structure
Topic 9
  • Deliver data in a relational star schema
  • Design slowly changing dimensions
Topic 10
  • Implement different table geometries with Azure Synapse Analytics pools
  • Design data encryption for data at rest and in transit
Topic 11
  • Design and develop a batch processing solution
  • Implement logical data structures


Schedule exam

Languages: English, Chinese (Simplified), Japanese, Korean

Retirement date: none

This exam measures your ability to accomplish the following technical tasks: design and implement data storage; design and develop data processing; design and implement data security; and monitor and optimize data storage and data processing.

 

NEW QUESTION 40
You are designing an Azure Synapse Analytics workspace.
You need to recommend a solution to provide double encryption of all the data at rest.
Which two components should you include in the recommendation? Each coned answer presents part of the solution NOTE: Each correct selection is worth one point.

  • A. an Azure virtual network that has a network security group (NSG)
  • B. an Azure Policy initiative
  • C. an X509 certificate
  • D. an Azure key vault that has purge protection enabled
  • E. an RSA key

Answer: A,C

 

NEW QUESTION 41
You are designing an Azure Stream Analytics solution that receives instant messaging data from an Azure event hub.
You need to ensure that the output from the Stream Analytics job counts the number of messages per time zone every 15 seconds.
How should you complete the Stream Analytics query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

 

NEW QUESTION 42
You are creating an Azure Data Factory data flow that will ingest data from a CSV file, cast columns to specified types of data, and insert the data into a table in an Azure Synapse Analytic dedicated SQL pool. The CSV file contains three columns named username, comment, and date.
The data flow already contains the following:
A source transformation.
A Derived Column transformation to set the appropriate types of data.
A sink transformation to land the data in the pool.
You need to ensure that the data flow meets the following requirements:
All valid rows must be written to the destination table.
Truncation errors in the comment column must be avoided proactively.
Any rows containing comment values that will cause truncation errors upon insert must be written to a file in blob storage.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. To the data flow, add a filter transformation to filter out rows that will cause truncation errors.
  • B. Add a select transformation to select only the rows that will cause truncation errors.
  • C. To the data flow, add a sink transformation to write the rows to a file in blob storage.
  • D. To the data flow, add a Conditional Split transformation to separate the rows that will cause truncation errors.

Answer: C,D

Explanation:
B: Example:
1. This conditional split transformation defines the maximum length of "title" to be five. Any row that is less than or equal to five will go into the GoodRows stream. Any row that is larger than five will go into the BadRows stream.

2. This conditional split transformation defines the maximum length of "title" to be five. Any row that is less than or equal to five will go into the GoodRows stream. Any row that is larger than five will go into the BadRows stream.
A:
3. Now we need to log the rows that failed. Add a sink transformation to the BadRows stream for logging. Here, we'll "auto-map" all of the fields so that we have logging of the complete transaction record. This is a text-delimited CSV file output to a single file in Blob Storage. We'll call the log file "badrows.csv".

4. The completed data flow is shown below. We are now able to split off error rows to avoid the SQL truncation errors and put those entries into a log file. Meanwhile, successful rows can continue to write to our target database.

Reference:
https://docs.microsoft.com/en-us/azure/data-factory/how-to-data-flow-error-rows

 

NEW QUESTION 43
You have an Azure subscription that contains a logical Microsoft SQL server named Server1. Server1 hosts an Azure Synapse Analytics SQL dedicated pool named Pool1.
You need to recommend a Transparent Data Encryption (TDE) solution for Server1. The solution must meet the following requirements:
* Track the usage of encryption keys.
* Maintain the access of client apps to Pool1 in the event of an Azure datacenter outage that affects the availability of the encryption keys.
What should you include in the recommendation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation

Box 1: TDE with customer-managed keys
Customer-managed keys are stored in the Azure Key Vault. You can monitor how and when your key vaults are accessed, and by whom. You can do this by enabling logging for Azure Key Vault, which saves information in an Azure storage account that you provide.
Box 2: Create and configure Azure key vaults in two Azure regions
The contents of your key vault are replicated within the region and to a secondary region at least 150 miles away, but within the same geography to maintain high durability of your keys and secrets.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/security/workspaces-encryption
https://docs.microsoft.com/en-us/azure/key-vault/general/logging

 

NEW QUESTION 44
You have a C# application that process data from an Azure IoT hub and performs complex transformations.
You need to replace the application with a real-time solution. The solution must reuse as much code as possible from the existing application.

  • A. Azure Data Factory
  • B. Azure Stream Analytics
  • C. Azure Event Grid
  • D. Azure Databricks

Answer: B

Explanation:
Azure Stream Analytics on IoT Edge empowers developers to deploy near-real-time analytical intelligence closer to IoT devices so that they can unlock the full value of device-generated data. UDF are available in C# for IoT Edge jobs Azure Stream Analytics on IoT Edge runs within the Azure IoT Edge framework. Once the job is created in Stream Analytics, you can deploy and manage it using IoT Hub.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-edge

 

NEW QUESTION 45
You plan to implement an Azure Data Lake Gen2 storage account.
You need to ensure that the data lake will remain available if a data center fails in the primary Azure region.
The solution must minimize costs.
Which type of replication should you use for the storage account?

  • A. geo-zone-redundant storage (GZRS)
  • B. locally-redundant storage (LRS)
  • C. zone-redundant storage (ZRS)
  • D. geo-redundant storage (GRS)

Answer: B

Explanation:
Locally redundant storage (LRS) copies your data synchronously three times within a single physical location in the primary region. LRS is the least expensive replication option Reference:
https://docs.microsoft.com/en-us/azure/storage/common/storage-redundancy

 

NEW QUESTION 46
You are designing a date dimension table in an Azure Synapse Analytics dedicated SQL pool. The date dimension table will be used by all the fact tables.
Which distribution type should you recommend to minimize data movement?

  • A. ROUND ROBIN
  • B. REPLICATE
  • C. HASH

Answer: B

Explanation:
A replicated table has a full copy of the table available on every Compute node. Queries run fast on replicated tables since joins on replicated tables don't require data movement. Replication requires extra storage, though, and isn't practical for large tables.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-overview

 

NEW QUESTION 47
You have an Azure Synapse Analytics dedicated SQL pool.
You need to ensure that data in the pool is encrypted at rest. The solution must NOT require modifying applications that query the data.
What should you do?

  • A. Create an Azure key vault in the Azure subscription grant access to the pool.
  • B. Enable Transparent Data Encryption (TDE) for the pool.
  • C. Enable encryption at rest for the Azure Data Lake Storage Gen2 account.
  • D. Use a customer-managed key to enable double encryption for the Azure Synapse workspace.

Answer: B

Explanation:
Transparent Data Encryption (TDE) helps protect against the threat of malicious activity by encrypting and decrypting your data at rest. When you encrypt your database, associated backups and transaction log files are encrypted without requiring any changes to your applications. TDE encrypts the storage of an entire database by using a symmetric key called the database encryption key.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-overviewmanage-security

 

NEW QUESTION 48
You are designing a streaming data solution that will ingest variable volumes of data.
You need to ensure that you can change the partition count after creation.
Which service should you use to ingest the data?

  • A. Azure Synapse Analytics
  • B. Azure Event Hubs Dedicated
  • C. Azure Data Factory
  • D. Azure Stream Analytics

Answer: B

Explanation:
Explanation
You can't change the partition count for an event hub after its creation except for the event hub in a dedicated cluster.
Reference:
https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-features

 

NEW QUESTION 49
You have an Azure data factory.
You need to examine the pipeline failures from the last 180 flays.
What should you use?

  • A. the Resource health blade for the Data Factory resource
  • B. the Activity tog blade for the Data Factory resource
  • C. Pipeline runs in the Azure Data Factory user experience
  • D. Azure Data Factory activity runs in Azure Monitor

Answer: D

 

NEW QUESTION 50
You have an Azure Databricks workspace named workspace! in the Standard pricing tier. Workspace!
contains an all-purpose cluster named cluster). You need to reduce the time it takes for cluster 1 to start and scale up. The solution must minimize costs. What should you do first?

  • A. Upgrade workspace! to the Premium pricing tier.
  • B. Configure a global init script for workspace1.
  • C. Create a pool in workspace1.
  • D. Create a cluster policy in workspace1.

Answer: C

 

NEW QUESTION 51
You plan to create a real-time monitoring app that alerts users when a device travels more than 200 meters away from a designated location.
You need to design an Azure Stream Analytics job to process the data for the planned app. The solution must minimize the amount of code developed and the number of technologies used.
What should you include in the Stream Analytics job? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation

Diagram, table Description automatically generated
Input type: Stream
You can process real-time IoT data streams with Azure Stream Analytics.
Function: Geospatial
With built-in geospatial functions, you can use Azure Stream Analytics to build applications for scenarios such as fleet management, ride sharing, connected cars, and asset tracking.
Note: In a real-world scenario, you could have hundreds of these sensors generating events as a stream.
Ideally, a gateway device would run code to push these events to Azure Event Hubs or Azure IoT Hubs.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-get-started-with-azure-stream-analytics
https://docs.microsoft.com/en-us/azure/stream-analytics/geospatial-scenarios

 

NEW QUESTION 52
You have an Apache Spark DataFrame named temperatures. A sample of the data is shown in the following table.

You need to produce the following table by using a Spark SQL query.

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.

Answer:

Explanation:

Reference:
https://learnsql.com/cookbook/how-to-convert-an-integer-to-a-decimal-in-sql-server/
https://docs.microsoft.com/en-us/sql/t-sql/queries/from-using-pivot-and-unpivot

 

NEW QUESTION 53
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 are designing an Azure Stream Analytics solution that will analyze Twitter dat a.
You need to count the tweets in each 10-second window. The solution must ensure that each tweet is counted only once.
Solution: You use a session window that uses a timeout size of 10 seconds.
Does this meet the goal?

  • A. No
  • B. Yes

Answer: A

Explanation:
Instead use a tumbling window. Tumbling windows are a series of fixed-sized, non-overlapping and contiguous time intervals.
Reference:
https://docs.microsoft.com/en-us/stream-analytics-query/tumbling-window-azure-stream-analytics

 

NEW QUESTION 54
You have a table in an Azure Synapse Analytics dedicated SQL pool. The table was created by using the following Transact-SQL statement.

You need to alter the table to meet the following requirements:
* Ensure that users can identify the current manager of employees.
* Support creating an employee reporting hierarchy for your entire company.
* Provide fast lookup of the managers' attributes such as name and job title.
Which column should you add to the table?

  • A. [ManagerEmployeeID] [int] NULL
  • B. [ManagerEmployeeID] [smallint] NULL
  • C. [ManagerName] [varchar](200) NULL
  • D. [ManagerEmployeeKey] [int] NULL

Answer: A

Explanation:
Explanation
Use the same definition as the EmployeeID column.
Reference:
https://docs.microsoft.com/en-us/analysis-services/tabular-models/hierarchies-ssas-tabular

 

NEW QUESTION 55
You need to implement the surrogate key for the retail store table. The solution must meet the sales transaction dataset requirements.
What should you create?

  • A. a user-defined SEQUENCE object
  • B. a system-versioned temporal table
  • C. a table that has an IDENTITY property
  • D. a table that has a FOREIGN KEY constraint

Answer: C

Explanation:
Scenario: Implement a surrogate key to account for changes to the retail store addresses.
A surrogate key on a table is a column with a unique identifier for each row. The key is not generated from the table data. Data modelers like to create surrogate keys on their tables when they design data warehouse models. You can use the IDENTITY property to achieve this goal simply and effectively without affecting load performance.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-identity This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.

 

NEW QUESTION 56
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